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Proceedings ascilite 2011 Hobart: Full Paper 1204
Distributed leadership for integration of information and
communication technology (ICT) in schools
Seng-Chee Tan, Ong Kian-Keong Aloysius
National Institute of Education,
Nanyang Technological University, Singapore
This study investigated the distributed leadership practices and system differentiation strategy in
technology integration among three Singapore schools. These schools have achieved different
levels of technology-related outcomes and are embarking on ICT integration of different scale and
complexity. Luhmann‘s (1995) system theory was adopted to characterise the leadership
distribution and differentiation strategies among the schools. Our findings showed that one school
adopted a top-down leadership approach while the other two schools demonstrated leadership
distribution. These two schools differed in their organisational differentiation strategy: one
adopted segmentation differentiation while the other demonstrated functional differentiation.
These variations in leadership practices seemed to be associated with the scale and complexity of
ICT integration in the schools. We offered a preliminary explanation for the plausible relationship
that exists between the level of complexity of ICT integration and the type of system
differentiation.
Keywords: School technology leadership, distributed leadership, Luhmann‘s system theory
Introduction
The study of technology leadership has drawn considerable interest among educational researchers in recent
years (Hadjithoma-Garstka, 2011). Research has found that technology leadership is an important factor for
effective integration of technology in schools. Anderson and Dexter (2005), for example, found that technology
leadership, compared to infrastructure and expenditure, was a stronger predictor of technology outcomes,
including the level of technology use (Anderson & Dexter, 2005). Yuen, Law, and Wong (2003) suggested that
technology leadership practices were associated with school characteristics, such as the stages of technology
integration and the cultural characteristics of the schools. From a functional perspective, existing literature of
technology leadership tended to focus on school principals as the central figure in leading technology change
(Tan, 2010). Arguably, school principals are often not ICT experts and they do not necessarily assume the
leadership role in technological implementation. A common practice among principals is to delegate key
responsibilities to the head teachers and expert teachers (Dexter, 2008), which seems to be consistent with the
concept of distributed leadership. Distributed leadership can be regarded as ―a social distribution where the
leadership function is stretched over the work of a number of individuals and the task is accomplished through
the interaction of multiple leaders‖ (Spillane, Halverson, & Diamond, 2001, p. 20). Research that discussed
technology leadership from a distributed leadership viewpoint has been less informed (Bennett, 2008).
Proceedings ascilite 2011 Hobart: Full Paper 1205
Responding to the paucity of research in this focus area, we attempt to study how distributed leadership is
enacted for technology implementation among three Singapore schools. Specifically, we aim to identify the
variations of leadership distribution and investigate the differentiation mechanisms the schools adopt in
technology integration. Guiding our study are the research questions:
1. In what ways are distributed leadership for integration of technology practised in three Singapore
schools?
2. What types of system differentiation strategy, if any, do the schools adopt for technology integration?
The first question focuses on the identification of distributed leadership practices, if any, that were enacted in
the participating schools. The second question addresses the differentiation strategies that the schools employed.
Our selection of the three schools was informed by survey results revealed from a separate study on ICT
implementation in Singapore schools. In August 2008, the Singapore Minister for Education launched the third
MasterPlan for ICT in Education in the country. Working towards the vision ―Harnessing ICT for Future
Learning‖, one specific goal of this Masterplan is that students will possess competencies for self-directed and
collaborative learning through the effective use of ICT (Teo & Ting, 2010). We selected three schools that
achieved different levels for this goal. Even though the participating schools in this study are either elementary
or secondary schools, many of the leadership issues related to technology integration will resonate with leaders
in institutes of higher education. This could serve as a springboard for further studies in different types of
learning institutions.
Literature review
This study on ICT leadership is shaped by two theories: distributed leadership and Luhmann‘s (1995) system
theory. In recent years, scholars and researchers from various countries began to employ a distributed
perspective to frame studies of school leadership (Spillane, Hunt, & Healey, 2009; Timperley, 2005). One
reason was attributed to the potential of this theory to ―generate new knowledge about school leadership and
management‖ (Spillane & Healey, 2010, p. 253). Leadership literature has traditionally focused on principals
and their roles and functions in reforming schools successfully (Heng & Marsh, 2009). This ―heroic‖ model of
leadership is deemed problematic as school principals often do not single-handedly lead schools to success
(Spillane, 2005); this issue becomes more prominent in the face of ICT integration in schools where the ability
of a school leader to take the sole responsibility and authority in implementing technology initiatives is called
into question (Harris, 2003). Gurr (2004), for instance, argued that leadership models founded on a leader-
centric, heroic and individualistic view are no longer appropriate in the context of leading technology change,
but a shared or distributed view of leadership is better reflected in the practices of schools. Indeed, principals are
unlikely to be the sole agent in leading technology-related changes because schools often have a multi-level
leadership structure for technology integration (Dexter, 2008; Pulley & Sessa, 2001). There is often an array of
individuals such as the heads of departments (HoDs) and teachers involved in leading the change process.
Hence, taking a distributive perspective is one feasible way to explore and understand how various members of
a school, apart from the principals, are involved in the leadership practices for ICT implementation.
Among the pioneering works, Spillane, Halverson and Diamond (2001) developed a distributed leadership
concept to explain leadership for organisational learning. Building on Hutchins‘ (1995) notion of distributed
cognition, Spillane, Halverson and Diamond (2001, p. 20) defined distributed leadership as ―a social distribution
where the leadership function is stretched over the work of a number of individuals and the task is accomplished
through the interaction of multiple leaders.‖ Distributed leadership recognises that leadership practices in
schools involve multiple individuals from all levels (Leithwood, et al., 2007). Besides the top management,
members of the teaching staff may take responsibility for leadership work as well, with or without formal
designations. Distributed leadership is thus concerned about the practices among leaders rather than attributes or
characteristics of individual leaders (Spillane, 2005). Leadership practice, as Spillane (2005) explained, is seen
as an outcome of the interactions among the leaders to achieve their joint goals and visions, taking into account
the context of the schools. Hence, a distributed leadership viewpoint seeks to understand the interactions
between the leaders and their followers.
Several forms and patterns of distributed leadership practices have been proposed. For example, Gronn‘s (2002)
conceptualised two distinct forms of distributed leadership, namely, the additive and holistic forms. The additive
form of distribution describes an uncoordinated pattern of distributed leadership in which various leaders act
independently with little coordination with other leaders within the organization (Leithwood, et al., 2007). On
Proceedings ascilite 2011 Hobart: Full Paper 1206
the other hand, the holistic distributed leadership depicts a ―consciously managed and synergistic leadership
among the sources of leadership in the organization‖ (Leithwood, et al., 2007, p. 39). Thompson (2003)
suggested three types of interdependencies among the relationship between leaders and their followers: pooled,
sequential and reciprocal interdependency. Pooled interdependency occurred when the joint productivity is the
result of a combination of individual‘s work, but each individual‘s output is not dependent on the output of the
others. Sequential interdependency describes a relay of outputs where individual build on the output of another,
so the individual cannot start until he received the output of the other. Reciprocal interdependency happens
when the output is produced via a collaboration of all individuals and individuals work together in order to
produce the optimal output.
While the above patterns and forms could be detected in organisations where distributed leadership is well
established, it could be challenging to identify and study these practices in its inchoate state. In this study, we
adapted Luhmann‘s (1995) system differentiation as an analytical framework to examine the leadership
distribution. In essence, Luhmann‘s system theory claims that a social system undergoes internal differentiation
in order to deal with changes in its environment. According to his theory, when the environment becomes more
complex with the increase in components and the possible relations between them, the system must develop
mechanisms or structures to reduce the overall complexity. System differentiation thus leads to a division into
subsystems with each focusing on different dimensions of the environment and the complexity of the
subsystems. In this process, the overall complexity in a given system is thereby increased and hence, the
paradox that ―only complexity can reduce complexity‖ (Luhmann, 1995, p. 26). Luhmann proposed three main
forms of differentiation: segmentation, stratification and functional differentiation. Segmentation differentiates a
system into similar units on the basis of the need to fulfil identical functions continually. These subunits are
functionally identical and do not provide new or alternative ways to meet the environment challenges.
Stratification is a vertical differentiation of subsystems according to power and prestige which gives rise to a
hierarchy. More complex relations with the environment occur as each subsystem works on a particular and
distinct function in the system. However, subunits tend to operate independently in stratified systems and the
effectiveness of subsystems is limited by its place in the hierarchy. Functional differentiation is the most
complex form of differentiation as the system is divided into unequal subsystems specialising in different
functions within a system. Although functionally differentiated, subunits rely on each other and form a complex
network of which interdependence and communication are essential for its success.
While literature on distributed leadership is emerging, there are only a few empirical studies that examine school
leadership in technology integration from this perspective. One exception is the study by Yuen, Law, and Wong
(2003), who found that schools with strong cultural characteristics associated with technology integration
adopted a multiple leadership strategy (akin to distributed leadership) and the teachers had autonomy in
implementing ICT initiatives. A recent study has also revealed the potential of the systems theory to explain ICT
implementation in schools. Employing systems theory, Tubin (2007) found that the ICT initiatives in schools
could be characterised by systems differentiation. For example, schools that created a new level of computer
trustees among the students were identified as adopting stratification strategy while schools that developed a
specialized independent learning unit such as an excellence centre were regarded as using functional
differentiation strategy. The study also attempted to associate leadership styles with each form of differentiation.
There was, however, little elaboration on this aspect of her work. As our study involved looking at division of
leadership roles for ICT implementation, system differentiation could serve as a practical analytical lens to
characterise possible variations. We aim to identify the variations of leadership distribution in technology
integration and investigate the different mechanisms that the schools adopt in technology integration. This study
responds to the dearth of empirical study in distributed leadership for technology integration. At theoretical
level, it aims to enrich explanation for distributed leadership from the perspective of system theory.
Methods
We adopted a case study approach because this methodology is highly appropriate when a holistic and in-depth
investigation is required (Feagin, Orum, & Sjoberg, 1991). This study is part of a nationwide 5-year longitudinal
study that involves survey of 110 schools and tracking of development of 12 schools. The study was
commissioned in 2009 by the Ministry of Education to investigate into the implementation of the third ICT
Masterplan in Singapore schools. This paper uses data from the second-year study conducted in 2010.
Among the 12 schools, three government-funded schools were chosen as contrasting cases in terms of their scale
and complexity in ICT integration. School A is an elementary co-ed school located in the west of Singapore,
Proceedings ascilite 2011 Hobart: Full Paper 1207
which represents a typical Singapore school in terms of ICT integration. School B is a secondary co-ed school
located in the north of Singapore. This school is awarded the LEADICT@schools status awarded by the
Ministry of Education, and was provided additional funding to conduct experiments on specific ICT integration
projects. School C is a Secondary Girls‘ school located in the south of Singapore. This school is one of the six
schools that have achieved the FutureSchools@Singapore status at the time of the data collection. The
FutureSchools are recognized for their school-wide ICT implementation and are supported with more generous
funding than LEADICT@schools. Both School B and C could be considered as ICT-enhanced schools. The
school management committees in all the three schools basically comprise the principal, the vice-principals and
a team of Head of Departments (HoDs) in various subject areas and one head teacher placed in charge of the
ICT matters (HoD ICT).
The data collection methods include quantitative survey of students, as well as interview with the principals and
focus group discussion with teachers. The survey was administered to 7390 students in 2010, and included the
following two sections: (a) 7 items on the use of ICT for self-directed learning (Cronbach =.843); and (b) 5
items on the use of ICT for collaborative learning (Cronbach =.878). For example, an item that assesses the
use of ICT for self-directed learning is: ―I find out more information on the Internet to help me understand my
lessons better.‖ An item that assesses the use of ICT for collaborative learning is: ―When I work in a group, I
use the computer to work with my group members to complete a project.‖ The students were asked to respond to
these items in terms of their frequency of engaging in these activities, on a Likert scale of 1 to 6 (1 for ―Not at
all‖ and 6 for ―All the time‖). This instrument has been validated (see Teo et al., 2010).
The interview and focus-group sessions were guided by open-structured questions to invite the participants to
comment on the school ICT implementation. In each school, a team of two researchers conducted one face-to-
face interview with the principal, one face-to-face interview with the HoD ICT and a focus group discussion
with six to eight teachers. The data collection was conducted from July to September 2010. Each session was
audio-recorded and transcribed. We first analysed and coded the transcripts for sources of leadership distribution
and functions. We then identified possible differences among the three cases and examined these differentiation
based on our analytical framework. Results reported in this paper were based on the variations found in the
structural differentiation (leadership hierarchy) in ICT implementation.
Findings and discussions
To answer the two research questions, we first present the survey outcomes on the use of ICT for self-directed
learning and for collaborative learning. Next, we examine how each school structured their leadership for
technology integration and their differentiation strategy, if any, in the process of technology integration. We
then make a comparison across the three schools.
Survey outcomes of the three schools
The survey results provide evidence about how successful each school was with regard to the Masterplan goal
on student‘s learning outcome. Table 1 summarises the survey outcomes of the three schools.
Table 1. A comparison of the survey outcomes of the three schools
School
(number or respondents)
Types of school Use of ICT for self-
directed learning
mean scores (std dev)
Use of ICT for
collaborative learning
mean scores (std dev)
School A (62) Elementary, mixed gender 3.34 (1.17) 3.93 (1.29)
School B (68) Secondary, mixed gender 3.64 (1.00) 4.10 (1.09)
School C (77) Secondary, Girls 3.91 (1.13) 4.55 (1.08)
The survey findings showed that similar trend existed among the three schools for the students‘ use of ICT for
self-directed learning and for collaborative learning. School C showed the highest mean scores, followed by
School B and School A. On the use of ICT for self-directed learning, analysis of variance at =.05 level showed
that there was significant difference among the three schools, F(2,204)=4.550, p=.012. Post hoc analysis using
Tukey HSD showed that the significant difference existed between School C and School A (p=.008). Similarly,
Proceedings ascilite 2011 Hobart: Full Paper 1208
on the use of ICT for collaborative learning, analysis of variance at =.05 level showed that there was
significant difference among the three schools, F(2,204)=5.468, p=.005. Post hoc analysis using Tukey HSD
showed that the significant difference existed between School C and School A (p=.005). In short, School C
seemed to be the most successful in achieving the student-related goals specified in the ICT Masterplan whereas
School A was the least successful. Next, we turn to the qualitative analysis to gain an insight into the leadership
practices among the three schools.
School A: Top-down leadership
An interview with the HoD ICT in School A revealed that she was the key driver to communicate ICT goals and
initiatives to the teaching staff. She made decisions about the foci for technology integration, revolving around
the types of technology tools to be used.
Basically this year was for them to use interactive whiteboard and then after that it‘s the Microsoft
Excel. And… a refresher of the LMS... these three that I‘ve focused on. Also because I didn‘t want to
focus on too many things. Because no point training on too many things and nothing is being
transferred... they don‘t use it.
She introduced several new ICT tools to the teachers, arranged for training for the tools and let the teachers
decide which tools they would like to employ for their teaching practices.
I shared with them Webspiration collaboration mindmapping tool online... then I told them... let‘s
integrate this into our curriculum... and they started and it blends in well... I see that happening, it‘s like
spreading, it‘s taking roots now.
She shared that she had trained a team of teachers who would provide coaching to the other teaching staff. The
selected teachers would learn the ICT tools and try it in their own classes before they trained the other teachers.
The HoD ICT would then supervise these teachers and they were given opportunities to share their practices
during staff meetings.
I started up this small team of teachers who do training for the rest of the teachers... for example like...
the new system... they call it the... iConnect... each of us take a section. And then we ourselves will
train our own staff. So right now it‘s what we‘re going to do for the new WES portal, the Vshare
portal... we‘ll learn it, we‘ll do it in our own class and then we‘ll share it and train the teachers
individually.
Thus, in School A, the principal and department head teachers of various subject domains were positioned in the
ICT leadership structure. In terms of hierarchy, the HoD ICT operated at the same level as HoDs of various
subject domains. However, the development and management of ICT programmes and applications were mostly
directed and implemented by the HoD ICT. Thus, the HoD ICT acted as the key personnel to provide directions
and create conditions for ICT implementation and her instructions were often cascaded down to the teaching
staff through the various department heads. The school adopts a ―heroic‖ model of leadership (Spillane, 2005)
where there is a concentration of power and responsibility on the HoD ICT. This HoD was the key person
directing and planning the ICT integration in the school. We could not detect significant differentiation strategy
employed by School A. We conclude that School A was practicing top-down leadership approach for ICT
leadership, as show in Figure 1. Note that this hierarchical structure represents the most common structure in
mainstream Singapore schools.
Figure 1. Top-down ICT leadership in School A
Principal
HoD ICT HoD Math
Teachers
HoD
Science
Teachers
Other
HoDs,
Subject
Domains
Teachers
Proceedings ascilite 2011 Hobart: Full Paper 1209
School B: Segmentation distribution
School B adopted a segmentation differentiation approach for ICT leadership where there was a division of the
leadership structure into identical units that operated in a similar ways from which it emerged. Unlike the
structure for School A where the HoD ICT directed and implemented ICT programmes and applications, the
findings from School B showed that the department heads for various subject domains were the key personnel
involved in setting the directions for technology integration. The principal and the HoD ICT assisted in
supervising and facilitating their work. In the words of the HoD ICT, they helped to ―make sure that… when
every department design programs, design things, project work… they have a set of guidelines… linking it to
our school vision as well.‖
The HoD ICT shared that School B is encouraging department-based ICT experimentation. As the school was
participating in a nationwide initiative called ―TLLM (Teach-Less Learn-More) Ignite‖, teachers from various
departments were tasked to initiate action research projects. He described two existing projects implemented by
the Mathematics department and the Science department respectively.
The Maths department is involved in this... project. So they are exploring using tablet PCs for learning
of graphs. So last year we‘ve already had action research project on… that is one strand. The other
strand is… the AR [Action Research] by the Science department. They are looking into the use of
blogs for developing inquisitiveness in the students… that‘s another research we‘re doing.
One teacher from the science department provided an elaboration on one of the science projects. In brief, the
science teachers collaboratively investigated the effects of blogs as a reflective tool on students‘ learning.
For the science department, we are actually embarking on the science research project on reflections…
so we are using ICT and reflection on the board… Students after every lesson... everyday will reflect…
we split them into different groups, one group will reflect and post it up on notice board what they have
learnt today, what are some of the things they have thought about, what do they feel about the lesson, is
there any questions they want to ask about the lesson that was taught. Another group will do it on the
blog. They will just post up their reflections on the blog… and the third group will do the reflective
journal with no audience, that means they will just write inside their ‗My Reflective Journal‘ book, and
then they will just submit to the teacher. So we are testing for any effects… (Teacher, School B)
There was a distribution of leadership branching out from the individual departments where teachers were
tasked to lead ICT programmes or initiatives. Figure 2 depicts this structure.
Figure 2. Segmentation differentiation strategy in School B
Noteworthy is that the projects conducted by various departments seemed to be independent of one another and
were conducted in a similar fashion as action research projects. In other words, each department would start a
project and assign experienced (senior) teachers to take charge of it; each project did not rely on one another for
its planning and implementation. This division of structure is a characteristic of a segmentation distribution as
new independent subunits continue to branch out from each department, forming identical units with similar
functions.
Principal
HoD ICT HoD Math
Project
leaders
Teachers
HoD
Science
Project
leaders
Teachers
Other HoDs, Subject
Domains
Project
leaders
Teachers
Proceedings ascilite 2011 Hobart: Full Paper 1210
School C: Functional differentiation distribution
Unlike School B where the principal and the HoD ICT play a facilitative role, the HoD ICT of School C
reported that the principal and vice-principals, Heads of Department, senior teachers and IT directors were all
involved in the planning of school ICT goals and initiatives. According to him, the principal and vice-principals
examined the key MOE initiatives or directions and they did the envisioning exercise. The ICT department
played a distinct role. Teachers, appointed as IT directors, worked with the HoD ICT in setting the directions for
technology integration. These IT directors took charge of the sub-divisions within the ICT department. There are
four sub-divisions within the ICT department: staff development, student development, infrastructure and
special projects. The ICT plans from these sub-divisions were incorporated into the overall school plan.
For ICT plans… it's a combination of… IT plans from… all the different departments… at the same
time… I will have all the four different IT directors overseeing things like staff development, student
development, infrastructure as well as special projects. Again they would have their own ICT plans,
which I will incorporate inside my entire plan. (HoD ICT, School C)
The Heads of Department in charge of the various subject disciplines also provided individual department plans
for ICT integration. Expert teachers such as senior teachers were also involved in the planning of key ICT
programmes. For instance, a senior teacher, in collaboration with the HoD ICT and Pastoral Care and Career
Guidance (PCCG) department, planned the school cyberwellness programme.
A senior teacher… he's being supported by two key departments, the PCCG department and the IT
department… we work very closely, the three of us, and in terms of so-called the cyber wellness plan
that we've put in place for the school, it's at different levels. For example for the technology side, IT
department, we have integrated into our lower secondary computer education programme alright so in
Sec 1 and Sec 2, students will be going through computer education programme and a lot of projects it
ties in with this cyber wellness. (HoD ICT, School C)
In the area of teaching and learning, School C involved teachers in the discussion on ICT implementation. The
principal shared that they engaged all teachers in designing ICT lessons during an annual staff seminar.
Every half a year, we have our staff seminar and… we have discussions about how are you using IT,
introduce to them new IT tools and we also ask them to share, discuss, plan a lesson together and it is
that constant communication, discussion of concerns, bouncing ideas off one another that is making it
more ingrained in them, making them realise more possibilities… (P, School C)
The HoD ICT also reported that the leadership practice for integrating ICT into teaching and learning was a
―bottom up‖ approach ―where our teachers ranging from our e-coaches to the... staff... they will be the ones
who‘s coming up with ideas. From there we actually embrace it.‖ Teachers, therefore, had the autonomy to
design and implement their own ICT pedagogical practices. This point is emphasised in the quote below.
The teachers need to be able to articulate what it means... to think through what is it that they are doing
in the classroom and... be able to articulate what does a good self-directed learning environment look
like and how they are going to create the environment, how are they going to create and design the
lesson in various different subject areas, which are very unique and very different. So we give them
that space and that time to do that... (HoD ICT, School C)
We could conclude that School C adopts a functional differentiation strategy, where division of the leadership
structure forms unequal subunits that operate with different and specialised functions for the ICT
implementation. The principal and vice-principals take on a visionary role while the department head teachers
and HoD ICT collaborate to implement ICT programmes and initiatives. In addition, there is a further division
of the leadership structure into subunits that oversee specialised functional areas of the school ICT integration.
For instance, under the HoD ICT, the leadership structure branches out to four subunits with specialised areas.
Figure 3 depicts this structure. Note that in School C, leadership permeates several hierarchical levels, even at
the level of classroom teachers.
Proceedings ascilite 2011 Hobart: Full Paper 1211
Figure 3. Functional differentiation strategy in School C
We have reported the findings for each school in terms of their leadership practices in ICT integration, in
particular, the leadership structure and the differentiation strategy. A comparison of the three schools could help
to uncover the plausible factors influencing the practices in these schools. Table 2 summarises the comparison.
Table 2. A comparison of the ICT leadership practices in the three schools
Scale and Complexity of ICT
integration
Differentiation Strategy Distributed leadership
School A A typical Singapore
school in terms of ICT
integration
Least successful in
achieving technology-
related outcomes
Standard leadership
configuration
Non-distributed
Leadership resides
mainly in one person
(HoD ICT)
School B LeadICT@School
Recognition for specific
ICT projects
Segmentation
differentiation,
forming identical and
independent subunits
with similar functions
Distributed at two
levels
Mainly Heads of
Department of various
subject domains and
Project leaders
School C FutureSchool@Singapore
Recognition for school-
wide integration of ICT
Most successful in
achieving technology-
related outcomes
Functional
differentiation,
forming unequal
subunits that operate
with different and
specialised functions
Distributed at more
than three levels
Whole-school
approach
In this study, the three cases revealed structural differentiation in their leadership hierarchy for ICT
implementation which could provide an indication of their distributed leadership practices. School A reflected a
top-down leadership structure while School B and School C showed a distributed form of leadership structure.
School B showed a limited degree of distribution in leadership and employed a segmentation strategy. On the
other hand, School C demonstrated high level of distribution in leadership and a functional differentiation
approach. These variations in leadership practices seem to be associated with the scale and complexity of the
schools‘ ICT integration effort. School A was a non-ICT enhanced school; School B was under the
LeadICT@School, recognised for its specific ICT project; and School C achieved the pinnacle
FutureSchool@Singapore status for its school-wide integration of ICT. To suggest an explanation for such
relationship, we first consulted two reported studies for ideas.
Principal
vice-
principals
HoD ICT
IT Directors
HoD Math
Senior
teachers
Teachers
HoD Science
Senior
teachers
Teachers
Other HoDs, Subject
Domains
Senior
teachers
Teachers
Proceedings ascilite 2011 Hobart: Full Paper 1212
Yuen, Law, and Wong (2003) found that schools in the beginning stage of ICT implementation reflected a top-
down management from principals while the leadership in schools in the advanced stage of ICT implementation
involved multiple leaders. They suggested that schools in the beginning stage of ICT implementation tend to
focus on developing students‘ ICT competencies and enhancing teaching effectiveness; a top-down management
from principals could help both teachers and students to achieve the minimal level of ICT competencies.
Schools in the advanced stage, however, engaged teachers and students in the use of ICT to implement new
ideas for teaching and learning and hence the leadership involved multiple leaders. Thus, the principal was not
necessarily the leader in initiatives related to ICT. In short, Yuen, Law, and Wong (2003) suggested that the
leadership practices were influenced by the key concerns and stage of ICT implementation in the schools. On
the other hand, Tubin (2007) used Luhmann‘s system theory (1995) to characterise schools by the types of
system differentiation. She provided a cursory comment on the association between leadership style and each
form of differentiation. Our study differs from the above two studies in two ways. First, since 1997, Singapore
schools have experienced two ICT Masterplan in Education and are currently in the third phase of ICT
Masterplan. Evaluation of the first ICT Masterplan found that both students and teachers possessed the basic
ICT skills (Koh & Lee, 2009). Thus, it is likely that even School A has progressed beyond the stage of
developing students‘ ICT competencies and enhancing teaching effectiveness. Second, Tubin (2007) focused on
explaining the relationship between school‘s communication and the differentiation strategy. Though there was
a brief attempt to associate leadership style and the type of differentiation, however, the leadership style seems
to be focusing on the characteristics of a leader rather than distributed leadership. Nevertheless, these two
studies provided ideas for us to explain distributed leadership practices using Luhmann‘s theory.
From our findings, we propose an explanation for the emerging relationship: A school that has successful
school-wide ICT integration and adopts a functional differentiation approach could demonstrate a deeper level
of distributed leadership. This explanation is consistent with Luhmann‘s explanation that ―only complexity can
reduce complexity‖ (Luhmann, 1995, p. 26). A school that engages in holistic and school-wide ICT integration
is likely to encounter complex changes. This high complexity of change necessitates reaction mechanisms that
are systemic in nature. It calls for new units that are more focused in their functions and there is a need to
coordinate these functional units, resulting in stronger inter-dependency among the units. In addition, the
complexity prevents a leader from providing direction and supervising at the level of functionally different sub-
units; a higher degree of empowerment at each level is called for, and therefore, a deeper level of distribution of
leadership. In short, the complexity of change influences the types of system differentiation and the degree of
distribution of leadership. Incidentally, the survey findings indicated that School C was the most successful in
achieving the technology-related goal among the students. Although the case study method prevents us from
drawing a causal relationship, we could see this as a positive indicator of the practices enacted in School A.
Acknowledging the limitations of a case study approach in generalising the findings, our explanation should be
subjected to further verification.
Conclusion
This study set out to identify the variations of leadership distribution and investigate the differentiation
mechanisms of the schools in technology integration among three Singapore schools. Using case-study
approach, three schools with different scale of ICT integration effort were selected as contrasting cases to study
the distributed practices.
Our findings revealed that School A, which represented a typical Singapore school in terms of ICT integration,
displayed a top-down leadership approach. There was no apparent differentiation strategy. Within the standard
leadership configuration of a Singapore school, the HoD ICT assumed the key leadership role in ICT
integration. School B, which was recognized for its specific ICT projects, adopted a segmentation differentiation
strategy where sub-units of similar functions were formed. In the case of School B, Heads of department for
various subjects and project leaders took the leadership roles in implementing action research projects while the
principal and the HoD ICT played facilitative roles. School C, which was recognised for its school-wide
implement, adopted a functional differentiation strategy where new units of specialised functions were formed.
In School C, four new positions of IT Director were created with unique functions: staff development, student
development, infrastructure and special projects. Distributed leadership related to ICT integration permeated
through various hierarchies within the school, including the teacher level. School C was also found to be the
most successful in terms of the use of ICT for self-directed learning and collaborative learning among the
students. By using the lens of Luhmann‘s system theory (1995) to study school leadership, we present a new
Proceedings ascilite 2011 Hobart: Full Paper 1213
perspective for explaining distributed leadership in ICT integration. We suggest that a relationship exists
between the level of complexity of ICT integration and the type of system differentiation, which could influence
the degree of distribution of leadership.
Research on how distributed leadership is practised among school personnel in leading technology change is at
its infancy stage. This study represents an initial effort to contribute to this field of study. Extending from this
study, we aim to verify our preliminary explanation for the observed relationship, to study the interdependencies
among the sub-units, as well as to explore the relationship between distributed leadership and various outcomes
of ICT integration, including students‘ and teachers‘ pedagogical use of ICT tools in teaching and learning.
References
Anderson, R., & Dexter, S. (2005). School technology leadership: An empirical investigation of prevalence and
effect. Educational Administration Quarterly, 41(1), 49-82.
Bennett, N. (2008). Distributed leadership and IT. In J. Voogt & G. A. Knezek (Eds.), International handbook
of information technology in primary and secondary education (pp. 597-613): Springer Verlag.
Dexter, S. (2008). Leadership for IT in schools. In J. Voogt & G. A. Knezek (Eds.), International handbook of
information technology in primary and secondary education (pp. 543-553): Springer Verlag.
Feagin, J. R., Orum, A. M., & Sjoberg, G. (1991). A case for the case study: The University of North Carolina
Press.
Gronn, P. (2002). Distributed leadership as a unit of analysis. The Leadership Quarterly, 13(4), 423-451.
Gurr, D. (2004). ICT, Leadership in Education and E-leadership. Discourse: studies in the cultural politics of
education, 25(1), 113-124.
Hadjithoma-Garstka, C. (2011). The role of the principal's leadership style in the implementation of ICT policy.
British Journal of Educational Technology, 42(2), 311-326.
Harris, A. (2003). Introduction: Challenging the Orthodoxy of School Leadership: towards alternative
theoretical perspectives. School Leadership & Management, 23(2), 125-128.
Heng, M. A., & Marsh, C. J. (2009). Understanding middle leaders: a closer look at middle leadership in
primary schools in Singapore. Educational Studies, 35(5), 525-536.
Koh, T.S., & Lee, S.C. (2009). Information Communication Technology in Education: Singapore ICT Master
Plans 1997-2008. Singapore, World Scientific
Leithwood, K., Mascall, B., Strauss, T., Sacks, R., Memon, N., & Yashkina, A. (2007). Distributing leadership
to make schools smarter: Taking the ego out of the system. Leadership and Policy in Schools, 6(1), 37-67.
Luhmann, N. (1995). Social systems: Stanford University Press.
Pulley, M. L., & Sessa, V. I. (2001). E-leadership: tackling complex challenges. Industrial and Commercial
Training, 33(6), 225-230.
Spillane, J. P. (2005). Distributed leadership. The Education Forum, 69(2), 143-150.
Spillane, J. P., Halverson, R., & Diamond, J. B. (2001). Investigating school leadership practice: A distributed
perspective. Educational researcher, 30(3), 23-28.
Spillane, J. P., & Healey, K. (2010). Conceptualizing School Leadership and Management from a Distributed
Perspective: An Exploration of Some Study Operations and Measures. The Elementary School Journal,
111(2), 253-281.
Spillane, J. P., Hunt, B., & Healey, K. (2009). Managing and leading elementary schools: Attending to the
formal and informal organisation. International Studies in Educational Administration, 37(1), 5-28.
Tan, S.C. (2010). Technology leadership– Lessons from empirical research. In C. Steel, M. J. Keppell & P.
Gerbic, Curriculum, technology & transformation for an unknown future. Proceedings ascilite Sydney
2010.
Teo, Y. H., & Ting, B. H. (2010). Singapore education ICT Masterplans (1997–2004). In C. S. Chai, & Q. Y.
Wang (Eds.), ICT for self-directed and collaborative learning (pp. 2–14). Singapore: Pearson Education
South Asia Pte Ltd.
Thompson, J. D. (2003). Organizations in action: Social science bases of administrative theory: Transaction
Pub.
Timperley, H. S. (2005). Distributed leadership: Developing theory from practice. Journal of curriculum
studies, 37(4), 395-420.
Tubin, D. (2007). When ICT meets schools: differentiation, complexity and adaptability. Journal of Educational
Administration, 45(1), 8-32.
Yuen, A. H. K., Law, N., & Wong, K. (2003). ICT implementation and school leadership: Case studies of ICT
integration in teaching and learning. Journal of Educational Administration, 41(2), 158-170.
Proceedings ascilite 2011 Hobart: Full Paper 1214
Acknowledgement: This project is funded by the Office of Educational Research, National Institute of
Education, Project OER 21/09 TSC
Author contact details:
Seng-Chee Tan sengchee.tan@nie.edu.sg
Please cite as: Tan, S.C., & Ong, K.K. A. (2011). Distributed leadership for integration of information and
communication technology (ICT) in schools. In G. Williams, P. Statham, N. Brown & B. Cleland (Eds.),
Changing Demands, Changing Directions. Proceedings ascilite Hobart 2011. (pp.1204-1214).
http://www.ascilite.org.au/conferences/hobart11/procs/Tan-full.pdf
Copyright © 2011 Seng-Chee Tan & Ong Kian-Keong Aloysius.
The author(s) assign to ascilite and educational non-profit institutions, a non-exclusive licence to use this
document for personal use and in courses of instruction, provided that the article is used in full and this
copyright statement is reproduced. The author(s) also grant a non-exclusive licence to ascilite to publish this
document on the ascilite web site and in other formats for the Proceedings ascilite Hobart 2011. Any other use
is prohibited without the express permission of the author(s).

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Ldership ict

  • 1. Proceedings ascilite 2011 Hobart: Full Paper 1204 Distributed leadership for integration of information and communication technology (ICT) in schools Seng-Chee Tan, Ong Kian-Keong Aloysius National Institute of Education, Nanyang Technological University, Singapore This study investigated the distributed leadership practices and system differentiation strategy in technology integration among three Singapore schools. These schools have achieved different levels of technology-related outcomes and are embarking on ICT integration of different scale and complexity. Luhmann‘s (1995) system theory was adopted to characterise the leadership distribution and differentiation strategies among the schools. Our findings showed that one school adopted a top-down leadership approach while the other two schools demonstrated leadership distribution. These two schools differed in their organisational differentiation strategy: one adopted segmentation differentiation while the other demonstrated functional differentiation. These variations in leadership practices seemed to be associated with the scale and complexity of ICT integration in the schools. We offered a preliminary explanation for the plausible relationship that exists between the level of complexity of ICT integration and the type of system differentiation. Keywords: School technology leadership, distributed leadership, Luhmann‘s system theory Introduction The study of technology leadership has drawn considerable interest among educational researchers in recent years (Hadjithoma-Garstka, 2011). Research has found that technology leadership is an important factor for effective integration of technology in schools. Anderson and Dexter (2005), for example, found that technology leadership, compared to infrastructure and expenditure, was a stronger predictor of technology outcomes, including the level of technology use (Anderson & Dexter, 2005). Yuen, Law, and Wong (2003) suggested that technology leadership practices were associated with school characteristics, such as the stages of technology integration and the cultural characteristics of the schools. From a functional perspective, existing literature of technology leadership tended to focus on school principals as the central figure in leading technology change (Tan, 2010). Arguably, school principals are often not ICT experts and they do not necessarily assume the leadership role in technological implementation. A common practice among principals is to delegate key responsibilities to the head teachers and expert teachers (Dexter, 2008), which seems to be consistent with the concept of distributed leadership. Distributed leadership can be regarded as ―a social distribution where the leadership function is stretched over the work of a number of individuals and the task is accomplished through the interaction of multiple leaders‖ (Spillane, Halverson, & Diamond, 2001, p. 20). Research that discussed technology leadership from a distributed leadership viewpoint has been less informed (Bennett, 2008).
  • 2. Proceedings ascilite 2011 Hobart: Full Paper 1205 Responding to the paucity of research in this focus area, we attempt to study how distributed leadership is enacted for technology implementation among three Singapore schools. Specifically, we aim to identify the variations of leadership distribution and investigate the differentiation mechanisms the schools adopt in technology integration. Guiding our study are the research questions: 1. In what ways are distributed leadership for integration of technology practised in three Singapore schools? 2. What types of system differentiation strategy, if any, do the schools adopt for technology integration? The first question focuses on the identification of distributed leadership practices, if any, that were enacted in the participating schools. The second question addresses the differentiation strategies that the schools employed. Our selection of the three schools was informed by survey results revealed from a separate study on ICT implementation in Singapore schools. In August 2008, the Singapore Minister for Education launched the third MasterPlan for ICT in Education in the country. Working towards the vision ―Harnessing ICT for Future Learning‖, one specific goal of this Masterplan is that students will possess competencies for self-directed and collaborative learning through the effective use of ICT (Teo & Ting, 2010). We selected three schools that achieved different levels for this goal. Even though the participating schools in this study are either elementary or secondary schools, many of the leadership issues related to technology integration will resonate with leaders in institutes of higher education. This could serve as a springboard for further studies in different types of learning institutions. Literature review This study on ICT leadership is shaped by two theories: distributed leadership and Luhmann‘s (1995) system theory. In recent years, scholars and researchers from various countries began to employ a distributed perspective to frame studies of school leadership (Spillane, Hunt, & Healey, 2009; Timperley, 2005). One reason was attributed to the potential of this theory to ―generate new knowledge about school leadership and management‖ (Spillane & Healey, 2010, p. 253). Leadership literature has traditionally focused on principals and their roles and functions in reforming schools successfully (Heng & Marsh, 2009). This ―heroic‖ model of leadership is deemed problematic as school principals often do not single-handedly lead schools to success (Spillane, 2005); this issue becomes more prominent in the face of ICT integration in schools where the ability of a school leader to take the sole responsibility and authority in implementing technology initiatives is called into question (Harris, 2003). Gurr (2004), for instance, argued that leadership models founded on a leader- centric, heroic and individualistic view are no longer appropriate in the context of leading technology change, but a shared or distributed view of leadership is better reflected in the practices of schools. Indeed, principals are unlikely to be the sole agent in leading technology-related changes because schools often have a multi-level leadership structure for technology integration (Dexter, 2008; Pulley & Sessa, 2001). There is often an array of individuals such as the heads of departments (HoDs) and teachers involved in leading the change process. Hence, taking a distributive perspective is one feasible way to explore and understand how various members of a school, apart from the principals, are involved in the leadership practices for ICT implementation. Among the pioneering works, Spillane, Halverson and Diamond (2001) developed a distributed leadership concept to explain leadership for organisational learning. Building on Hutchins‘ (1995) notion of distributed cognition, Spillane, Halverson and Diamond (2001, p. 20) defined distributed leadership as ―a social distribution where the leadership function is stretched over the work of a number of individuals and the task is accomplished through the interaction of multiple leaders.‖ Distributed leadership recognises that leadership practices in schools involve multiple individuals from all levels (Leithwood, et al., 2007). Besides the top management, members of the teaching staff may take responsibility for leadership work as well, with or without formal designations. Distributed leadership is thus concerned about the practices among leaders rather than attributes or characteristics of individual leaders (Spillane, 2005). Leadership practice, as Spillane (2005) explained, is seen as an outcome of the interactions among the leaders to achieve their joint goals and visions, taking into account the context of the schools. Hence, a distributed leadership viewpoint seeks to understand the interactions between the leaders and their followers. Several forms and patterns of distributed leadership practices have been proposed. For example, Gronn‘s (2002) conceptualised two distinct forms of distributed leadership, namely, the additive and holistic forms. The additive form of distribution describes an uncoordinated pattern of distributed leadership in which various leaders act independently with little coordination with other leaders within the organization (Leithwood, et al., 2007). On
  • 3. Proceedings ascilite 2011 Hobart: Full Paper 1206 the other hand, the holistic distributed leadership depicts a ―consciously managed and synergistic leadership among the sources of leadership in the organization‖ (Leithwood, et al., 2007, p. 39). Thompson (2003) suggested three types of interdependencies among the relationship between leaders and their followers: pooled, sequential and reciprocal interdependency. Pooled interdependency occurred when the joint productivity is the result of a combination of individual‘s work, but each individual‘s output is not dependent on the output of the others. Sequential interdependency describes a relay of outputs where individual build on the output of another, so the individual cannot start until he received the output of the other. Reciprocal interdependency happens when the output is produced via a collaboration of all individuals and individuals work together in order to produce the optimal output. While the above patterns and forms could be detected in organisations where distributed leadership is well established, it could be challenging to identify and study these practices in its inchoate state. In this study, we adapted Luhmann‘s (1995) system differentiation as an analytical framework to examine the leadership distribution. In essence, Luhmann‘s system theory claims that a social system undergoes internal differentiation in order to deal with changes in its environment. According to his theory, when the environment becomes more complex with the increase in components and the possible relations between them, the system must develop mechanisms or structures to reduce the overall complexity. System differentiation thus leads to a division into subsystems with each focusing on different dimensions of the environment and the complexity of the subsystems. In this process, the overall complexity in a given system is thereby increased and hence, the paradox that ―only complexity can reduce complexity‖ (Luhmann, 1995, p. 26). Luhmann proposed three main forms of differentiation: segmentation, stratification and functional differentiation. Segmentation differentiates a system into similar units on the basis of the need to fulfil identical functions continually. These subunits are functionally identical and do not provide new or alternative ways to meet the environment challenges. Stratification is a vertical differentiation of subsystems according to power and prestige which gives rise to a hierarchy. More complex relations with the environment occur as each subsystem works on a particular and distinct function in the system. However, subunits tend to operate independently in stratified systems and the effectiveness of subsystems is limited by its place in the hierarchy. Functional differentiation is the most complex form of differentiation as the system is divided into unequal subsystems specialising in different functions within a system. Although functionally differentiated, subunits rely on each other and form a complex network of which interdependence and communication are essential for its success. While literature on distributed leadership is emerging, there are only a few empirical studies that examine school leadership in technology integration from this perspective. One exception is the study by Yuen, Law, and Wong (2003), who found that schools with strong cultural characteristics associated with technology integration adopted a multiple leadership strategy (akin to distributed leadership) and the teachers had autonomy in implementing ICT initiatives. A recent study has also revealed the potential of the systems theory to explain ICT implementation in schools. Employing systems theory, Tubin (2007) found that the ICT initiatives in schools could be characterised by systems differentiation. For example, schools that created a new level of computer trustees among the students were identified as adopting stratification strategy while schools that developed a specialized independent learning unit such as an excellence centre were regarded as using functional differentiation strategy. The study also attempted to associate leadership styles with each form of differentiation. There was, however, little elaboration on this aspect of her work. As our study involved looking at division of leadership roles for ICT implementation, system differentiation could serve as a practical analytical lens to characterise possible variations. We aim to identify the variations of leadership distribution in technology integration and investigate the different mechanisms that the schools adopt in technology integration. This study responds to the dearth of empirical study in distributed leadership for technology integration. At theoretical level, it aims to enrich explanation for distributed leadership from the perspective of system theory. Methods We adopted a case study approach because this methodology is highly appropriate when a holistic and in-depth investigation is required (Feagin, Orum, & Sjoberg, 1991). This study is part of a nationwide 5-year longitudinal study that involves survey of 110 schools and tracking of development of 12 schools. The study was commissioned in 2009 by the Ministry of Education to investigate into the implementation of the third ICT Masterplan in Singapore schools. This paper uses data from the second-year study conducted in 2010. Among the 12 schools, three government-funded schools were chosen as contrasting cases in terms of their scale and complexity in ICT integration. School A is an elementary co-ed school located in the west of Singapore,
  • 4. Proceedings ascilite 2011 Hobart: Full Paper 1207 which represents a typical Singapore school in terms of ICT integration. School B is a secondary co-ed school located in the north of Singapore. This school is awarded the LEADICT@schools status awarded by the Ministry of Education, and was provided additional funding to conduct experiments on specific ICT integration projects. School C is a Secondary Girls‘ school located in the south of Singapore. This school is one of the six schools that have achieved the FutureSchools@Singapore status at the time of the data collection. The FutureSchools are recognized for their school-wide ICT implementation and are supported with more generous funding than LEADICT@schools. Both School B and C could be considered as ICT-enhanced schools. The school management committees in all the three schools basically comprise the principal, the vice-principals and a team of Head of Departments (HoDs) in various subject areas and one head teacher placed in charge of the ICT matters (HoD ICT). The data collection methods include quantitative survey of students, as well as interview with the principals and focus group discussion with teachers. The survey was administered to 7390 students in 2010, and included the following two sections: (a) 7 items on the use of ICT for self-directed learning (Cronbach =.843); and (b) 5 items on the use of ICT for collaborative learning (Cronbach =.878). For example, an item that assesses the use of ICT for self-directed learning is: ―I find out more information on the Internet to help me understand my lessons better.‖ An item that assesses the use of ICT for collaborative learning is: ―When I work in a group, I use the computer to work with my group members to complete a project.‖ The students were asked to respond to these items in terms of their frequency of engaging in these activities, on a Likert scale of 1 to 6 (1 for ―Not at all‖ and 6 for ―All the time‖). This instrument has been validated (see Teo et al., 2010). The interview and focus-group sessions were guided by open-structured questions to invite the participants to comment on the school ICT implementation. In each school, a team of two researchers conducted one face-to- face interview with the principal, one face-to-face interview with the HoD ICT and a focus group discussion with six to eight teachers. The data collection was conducted from July to September 2010. Each session was audio-recorded and transcribed. We first analysed and coded the transcripts for sources of leadership distribution and functions. We then identified possible differences among the three cases and examined these differentiation based on our analytical framework. Results reported in this paper were based on the variations found in the structural differentiation (leadership hierarchy) in ICT implementation. Findings and discussions To answer the two research questions, we first present the survey outcomes on the use of ICT for self-directed learning and for collaborative learning. Next, we examine how each school structured their leadership for technology integration and their differentiation strategy, if any, in the process of technology integration. We then make a comparison across the three schools. Survey outcomes of the three schools The survey results provide evidence about how successful each school was with regard to the Masterplan goal on student‘s learning outcome. Table 1 summarises the survey outcomes of the three schools. Table 1. A comparison of the survey outcomes of the three schools School (number or respondents) Types of school Use of ICT for self- directed learning mean scores (std dev) Use of ICT for collaborative learning mean scores (std dev) School A (62) Elementary, mixed gender 3.34 (1.17) 3.93 (1.29) School B (68) Secondary, mixed gender 3.64 (1.00) 4.10 (1.09) School C (77) Secondary, Girls 3.91 (1.13) 4.55 (1.08) The survey findings showed that similar trend existed among the three schools for the students‘ use of ICT for self-directed learning and for collaborative learning. School C showed the highest mean scores, followed by School B and School A. On the use of ICT for self-directed learning, analysis of variance at =.05 level showed that there was significant difference among the three schools, F(2,204)=4.550, p=.012. Post hoc analysis using Tukey HSD showed that the significant difference existed between School C and School A (p=.008). Similarly,
  • 5. Proceedings ascilite 2011 Hobart: Full Paper 1208 on the use of ICT for collaborative learning, analysis of variance at =.05 level showed that there was significant difference among the three schools, F(2,204)=5.468, p=.005. Post hoc analysis using Tukey HSD showed that the significant difference existed between School C and School A (p=.005). In short, School C seemed to be the most successful in achieving the student-related goals specified in the ICT Masterplan whereas School A was the least successful. Next, we turn to the qualitative analysis to gain an insight into the leadership practices among the three schools. School A: Top-down leadership An interview with the HoD ICT in School A revealed that she was the key driver to communicate ICT goals and initiatives to the teaching staff. She made decisions about the foci for technology integration, revolving around the types of technology tools to be used. Basically this year was for them to use interactive whiteboard and then after that it‘s the Microsoft Excel. And… a refresher of the LMS... these three that I‘ve focused on. Also because I didn‘t want to focus on too many things. Because no point training on too many things and nothing is being transferred... they don‘t use it. She introduced several new ICT tools to the teachers, arranged for training for the tools and let the teachers decide which tools they would like to employ for their teaching practices. I shared with them Webspiration collaboration mindmapping tool online... then I told them... let‘s integrate this into our curriculum... and they started and it blends in well... I see that happening, it‘s like spreading, it‘s taking roots now. She shared that she had trained a team of teachers who would provide coaching to the other teaching staff. The selected teachers would learn the ICT tools and try it in their own classes before they trained the other teachers. The HoD ICT would then supervise these teachers and they were given opportunities to share their practices during staff meetings. I started up this small team of teachers who do training for the rest of the teachers... for example like... the new system... they call it the... iConnect... each of us take a section. And then we ourselves will train our own staff. So right now it‘s what we‘re going to do for the new WES portal, the Vshare portal... we‘ll learn it, we‘ll do it in our own class and then we‘ll share it and train the teachers individually. Thus, in School A, the principal and department head teachers of various subject domains were positioned in the ICT leadership structure. In terms of hierarchy, the HoD ICT operated at the same level as HoDs of various subject domains. However, the development and management of ICT programmes and applications were mostly directed and implemented by the HoD ICT. Thus, the HoD ICT acted as the key personnel to provide directions and create conditions for ICT implementation and her instructions were often cascaded down to the teaching staff through the various department heads. The school adopts a ―heroic‖ model of leadership (Spillane, 2005) where there is a concentration of power and responsibility on the HoD ICT. This HoD was the key person directing and planning the ICT integration in the school. We could not detect significant differentiation strategy employed by School A. We conclude that School A was practicing top-down leadership approach for ICT leadership, as show in Figure 1. Note that this hierarchical structure represents the most common structure in mainstream Singapore schools. Figure 1. Top-down ICT leadership in School A Principal HoD ICT HoD Math Teachers HoD Science Teachers Other HoDs, Subject Domains Teachers
  • 6. Proceedings ascilite 2011 Hobart: Full Paper 1209 School B: Segmentation distribution School B adopted a segmentation differentiation approach for ICT leadership where there was a division of the leadership structure into identical units that operated in a similar ways from which it emerged. Unlike the structure for School A where the HoD ICT directed and implemented ICT programmes and applications, the findings from School B showed that the department heads for various subject domains were the key personnel involved in setting the directions for technology integration. The principal and the HoD ICT assisted in supervising and facilitating their work. In the words of the HoD ICT, they helped to ―make sure that… when every department design programs, design things, project work… they have a set of guidelines… linking it to our school vision as well.‖ The HoD ICT shared that School B is encouraging department-based ICT experimentation. As the school was participating in a nationwide initiative called ―TLLM (Teach-Less Learn-More) Ignite‖, teachers from various departments were tasked to initiate action research projects. He described two existing projects implemented by the Mathematics department and the Science department respectively. The Maths department is involved in this... project. So they are exploring using tablet PCs for learning of graphs. So last year we‘ve already had action research project on… that is one strand. The other strand is… the AR [Action Research] by the Science department. They are looking into the use of blogs for developing inquisitiveness in the students… that‘s another research we‘re doing. One teacher from the science department provided an elaboration on one of the science projects. In brief, the science teachers collaboratively investigated the effects of blogs as a reflective tool on students‘ learning. For the science department, we are actually embarking on the science research project on reflections… so we are using ICT and reflection on the board… Students after every lesson... everyday will reflect… we split them into different groups, one group will reflect and post it up on notice board what they have learnt today, what are some of the things they have thought about, what do they feel about the lesson, is there any questions they want to ask about the lesson that was taught. Another group will do it on the blog. They will just post up their reflections on the blog… and the third group will do the reflective journal with no audience, that means they will just write inside their ‗My Reflective Journal‘ book, and then they will just submit to the teacher. So we are testing for any effects… (Teacher, School B) There was a distribution of leadership branching out from the individual departments where teachers were tasked to lead ICT programmes or initiatives. Figure 2 depicts this structure. Figure 2. Segmentation differentiation strategy in School B Noteworthy is that the projects conducted by various departments seemed to be independent of one another and were conducted in a similar fashion as action research projects. In other words, each department would start a project and assign experienced (senior) teachers to take charge of it; each project did not rely on one another for its planning and implementation. This division of structure is a characteristic of a segmentation distribution as new independent subunits continue to branch out from each department, forming identical units with similar functions. Principal HoD ICT HoD Math Project leaders Teachers HoD Science Project leaders Teachers Other HoDs, Subject Domains Project leaders Teachers
  • 7. Proceedings ascilite 2011 Hobart: Full Paper 1210 School C: Functional differentiation distribution Unlike School B where the principal and the HoD ICT play a facilitative role, the HoD ICT of School C reported that the principal and vice-principals, Heads of Department, senior teachers and IT directors were all involved in the planning of school ICT goals and initiatives. According to him, the principal and vice-principals examined the key MOE initiatives or directions and they did the envisioning exercise. The ICT department played a distinct role. Teachers, appointed as IT directors, worked with the HoD ICT in setting the directions for technology integration. These IT directors took charge of the sub-divisions within the ICT department. There are four sub-divisions within the ICT department: staff development, student development, infrastructure and special projects. The ICT plans from these sub-divisions were incorporated into the overall school plan. For ICT plans… it's a combination of… IT plans from… all the different departments… at the same time… I will have all the four different IT directors overseeing things like staff development, student development, infrastructure as well as special projects. Again they would have their own ICT plans, which I will incorporate inside my entire plan. (HoD ICT, School C) The Heads of Department in charge of the various subject disciplines also provided individual department plans for ICT integration. Expert teachers such as senior teachers were also involved in the planning of key ICT programmes. For instance, a senior teacher, in collaboration with the HoD ICT and Pastoral Care and Career Guidance (PCCG) department, planned the school cyberwellness programme. A senior teacher… he's being supported by two key departments, the PCCG department and the IT department… we work very closely, the three of us, and in terms of so-called the cyber wellness plan that we've put in place for the school, it's at different levels. For example for the technology side, IT department, we have integrated into our lower secondary computer education programme alright so in Sec 1 and Sec 2, students will be going through computer education programme and a lot of projects it ties in with this cyber wellness. (HoD ICT, School C) In the area of teaching and learning, School C involved teachers in the discussion on ICT implementation. The principal shared that they engaged all teachers in designing ICT lessons during an annual staff seminar. Every half a year, we have our staff seminar and… we have discussions about how are you using IT, introduce to them new IT tools and we also ask them to share, discuss, plan a lesson together and it is that constant communication, discussion of concerns, bouncing ideas off one another that is making it more ingrained in them, making them realise more possibilities… (P, School C) The HoD ICT also reported that the leadership practice for integrating ICT into teaching and learning was a ―bottom up‖ approach ―where our teachers ranging from our e-coaches to the... staff... they will be the ones who‘s coming up with ideas. From there we actually embrace it.‖ Teachers, therefore, had the autonomy to design and implement their own ICT pedagogical practices. This point is emphasised in the quote below. The teachers need to be able to articulate what it means... to think through what is it that they are doing in the classroom and... be able to articulate what does a good self-directed learning environment look like and how they are going to create the environment, how are they going to create and design the lesson in various different subject areas, which are very unique and very different. So we give them that space and that time to do that... (HoD ICT, School C) We could conclude that School C adopts a functional differentiation strategy, where division of the leadership structure forms unequal subunits that operate with different and specialised functions for the ICT implementation. The principal and vice-principals take on a visionary role while the department head teachers and HoD ICT collaborate to implement ICT programmes and initiatives. In addition, there is a further division of the leadership structure into subunits that oversee specialised functional areas of the school ICT integration. For instance, under the HoD ICT, the leadership structure branches out to four subunits with specialised areas. Figure 3 depicts this structure. Note that in School C, leadership permeates several hierarchical levels, even at the level of classroom teachers.
  • 8. Proceedings ascilite 2011 Hobart: Full Paper 1211 Figure 3. Functional differentiation strategy in School C We have reported the findings for each school in terms of their leadership practices in ICT integration, in particular, the leadership structure and the differentiation strategy. A comparison of the three schools could help to uncover the plausible factors influencing the practices in these schools. Table 2 summarises the comparison. Table 2. A comparison of the ICT leadership practices in the three schools Scale and Complexity of ICT integration Differentiation Strategy Distributed leadership School A A typical Singapore school in terms of ICT integration Least successful in achieving technology- related outcomes Standard leadership configuration Non-distributed Leadership resides mainly in one person (HoD ICT) School B LeadICT@School Recognition for specific ICT projects Segmentation differentiation, forming identical and independent subunits with similar functions Distributed at two levels Mainly Heads of Department of various subject domains and Project leaders School C FutureSchool@Singapore Recognition for school- wide integration of ICT Most successful in achieving technology- related outcomes Functional differentiation, forming unequal subunits that operate with different and specialised functions Distributed at more than three levels Whole-school approach In this study, the three cases revealed structural differentiation in their leadership hierarchy for ICT implementation which could provide an indication of their distributed leadership practices. School A reflected a top-down leadership structure while School B and School C showed a distributed form of leadership structure. School B showed a limited degree of distribution in leadership and employed a segmentation strategy. On the other hand, School C demonstrated high level of distribution in leadership and a functional differentiation approach. These variations in leadership practices seem to be associated with the scale and complexity of the schools‘ ICT integration effort. School A was a non-ICT enhanced school; School B was under the LeadICT@School, recognised for its specific ICT project; and School C achieved the pinnacle FutureSchool@Singapore status for its school-wide integration of ICT. To suggest an explanation for such relationship, we first consulted two reported studies for ideas. Principal vice- principals HoD ICT IT Directors HoD Math Senior teachers Teachers HoD Science Senior teachers Teachers Other HoDs, Subject Domains Senior teachers Teachers
  • 9. Proceedings ascilite 2011 Hobart: Full Paper 1212 Yuen, Law, and Wong (2003) found that schools in the beginning stage of ICT implementation reflected a top- down management from principals while the leadership in schools in the advanced stage of ICT implementation involved multiple leaders. They suggested that schools in the beginning stage of ICT implementation tend to focus on developing students‘ ICT competencies and enhancing teaching effectiveness; a top-down management from principals could help both teachers and students to achieve the minimal level of ICT competencies. Schools in the advanced stage, however, engaged teachers and students in the use of ICT to implement new ideas for teaching and learning and hence the leadership involved multiple leaders. Thus, the principal was not necessarily the leader in initiatives related to ICT. In short, Yuen, Law, and Wong (2003) suggested that the leadership practices were influenced by the key concerns and stage of ICT implementation in the schools. On the other hand, Tubin (2007) used Luhmann‘s system theory (1995) to characterise schools by the types of system differentiation. She provided a cursory comment on the association between leadership style and each form of differentiation. Our study differs from the above two studies in two ways. First, since 1997, Singapore schools have experienced two ICT Masterplan in Education and are currently in the third phase of ICT Masterplan. Evaluation of the first ICT Masterplan found that both students and teachers possessed the basic ICT skills (Koh & Lee, 2009). Thus, it is likely that even School A has progressed beyond the stage of developing students‘ ICT competencies and enhancing teaching effectiveness. Second, Tubin (2007) focused on explaining the relationship between school‘s communication and the differentiation strategy. Though there was a brief attempt to associate leadership style and the type of differentiation, however, the leadership style seems to be focusing on the characteristics of a leader rather than distributed leadership. Nevertheless, these two studies provided ideas for us to explain distributed leadership practices using Luhmann‘s theory. From our findings, we propose an explanation for the emerging relationship: A school that has successful school-wide ICT integration and adopts a functional differentiation approach could demonstrate a deeper level of distributed leadership. This explanation is consistent with Luhmann‘s explanation that ―only complexity can reduce complexity‖ (Luhmann, 1995, p. 26). A school that engages in holistic and school-wide ICT integration is likely to encounter complex changes. This high complexity of change necessitates reaction mechanisms that are systemic in nature. It calls for new units that are more focused in their functions and there is a need to coordinate these functional units, resulting in stronger inter-dependency among the units. In addition, the complexity prevents a leader from providing direction and supervising at the level of functionally different sub- units; a higher degree of empowerment at each level is called for, and therefore, a deeper level of distribution of leadership. In short, the complexity of change influences the types of system differentiation and the degree of distribution of leadership. Incidentally, the survey findings indicated that School C was the most successful in achieving the technology-related goal among the students. Although the case study method prevents us from drawing a causal relationship, we could see this as a positive indicator of the practices enacted in School A. Acknowledging the limitations of a case study approach in generalising the findings, our explanation should be subjected to further verification. Conclusion This study set out to identify the variations of leadership distribution and investigate the differentiation mechanisms of the schools in technology integration among three Singapore schools. Using case-study approach, three schools with different scale of ICT integration effort were selected as contrasting cases to study the distributed practices. Our findings revealed that School A, which represented a typical Singapore school in terms of ICT integration, displayed a top-down leadership approach. There was no apparent differentiation strategy. Within the standard leadership configuration of a Singapore school, the HoD ICT assumed the key leadership role in ICT integration. School B, which was recognized for its specific ICT projects, adopted a segmentation differentiation strategy where sub-units of similar functions were formed. In the case of School B, Heads of department for various subjects and project leaders took the leadership roles in implementing action research projects while the principal and the HoD ICT played facilitative roles. School C, which was recognised for its school-wide implement, adopted a functional differentiation strategy where new units of specialised functions were formed. In School C, four new positions of IT Director were created with unique functions: staff development, student development, infrastructure and special projects. Distributed leadership related to ICT integration permeated through various hierarchies within the school, including the teacher level. School C was also found to be the most successful in terms of the use of ICT for self-directed learning and collaborative learning among the students. By using the lens of Luhmann‘s system theory (1995) to study school leadership, we present a new
  • 10. Proceedings ascilite 2011 Hobart: Full Paper 1213 perspective for explaining distributed leadership in ICT integration. We suggest that a relationship exists between the level of complexity of ICT integration and the type of system differentiation, which could influence the degree of distribution of leadership. Research on how distributed leadership is practised among school personnel in leading technology change is at its infancy stage. This study represents an initial effort to contribute to this field of study. Extending from this study, we aim to verify our preliminary explanation for the observed relationship, to study the interdependencies among the sub-units, as well as to explore the relationship between distributed leadership and various outcomes of ICT integration, including students‘ and teachers‘ pedagogical use of ICT tools in teaching and learning. References Anderson, R., & Dexter, S. (2005). School technology leadership: An empirical investigation of prevalence and effect. Educational Administration Quarterly, 41(1), 49-82. Bennett, N. (2008). Distributed leadership and IT. In J. Voogt & G. A. Knezek (Eds.), International handbook of information technology in primary and secondary education (pp. 597-613): Springer Verlag. Dexter, S. (2008). Leadership for IT in schools. In J. Voogt & G. A. Knezek (Eds.), International handbook of information technology in primary and secondary education (pp. 543-553): Springer Verlag. Feagin, J. R., Orum, A. M., & Sjoberg, G. (1991). A case for the case study: The University of North Carolina Press. Gronn, P. (2002). Distributed leadership as a unit of analysis. The Leadership Quarterly, 13(4), 423-451. Gurr, D. (2004). ICT, Leadership in Education and E-leadership. Discourse: studies in the cultural politics of education, 25(1), 113-124. Hadjithoma-Garstka, C. (2011). The role of the principal's leadership style in the implementation of ICT policy. British Journal of Educational Technology, 42(2), 311-326. Harris, A. (2003). Introduction: Challenging the Orthodoxy of School Leadership: towards alternative theoretical perspectives. School Leadership & Management, 23(2), 125-128. Heng, M. A., & Marsh, C. J. (2009). Understanding middle leaders: a closer look at middle leadership in primary schools in Singapore. Educational Studies, 35(5), 525-536. Koh, T.S., & Lee, S.C. (2009). Information Communication Technology in Education: Singapore ICT Master Plans 1997-2008. Singapore, World Scientific Leithwood, K., Mascall, B., Strauss, T., Sacks, R., Memon, N., & Yashkina, A. (2007). Distributing leadership to make schools smarter: Taking the ego out of the system. Leadership and Policy in Schools, 6(1), 37-67. Luhmann, N. (1995). Social systems: Stanford University Press. Pulley, M. L., & Sessa, V. I. (2001). E-leadership: tackling complex challenges. Industrial and Commercial Training, 33(6), 225-230. Spillane, J. P. (2005). Distributed leadership. The Education Forum, 69(2), 143-150. Spillane, J. P., Halverson, R., & Diamond, J. B. (2001). Investigating school leadership practice: A distributed perspective. Educational researcher, 30(3), 23-28. Spillane, J. P., & Healey, K. (2010). Conceptualizing School Leadership and Management from a Distributed Perspective: An Exploration of Some Study Operations and Measures. The Elementary School Journal, 111(2), 253-281. Spillane, J. P., Hunt, B., & Healey, K. (2009). Managing and leading elementary schools: Attending to the formal and informal organisation. International Studies in Educational Administration, 37(1), 5-28. Tan, S.C. (2010). Technology leadership– Lessons from empirical research. In C. Steel, M. J. Keppell & P. Gerbic, Curriculum, technology & transformation for an unknown future. Proceedings ascilite Sydney 2010. Teo, Y. H., & Ting, B. H. (2010). Singapore education ICT Masterplans (1997–2004). In C. S. Chai, & Q. Y. Wang (Eds.), ICT for self-directed and collaborative learning (pp. 2–14). Singapore: Pearson Education South Asia Pte Ltd. Thompson, J. D. (2003). Organizations in action: Social science bases of administrative theory: Transaction Pub. Timperley, H. S. (2005). Distributed leadership: Developing theory from practice. Journal of curriculum studies, 37(4), 395-420. Tubin, D. (2007). When ICT meets schools: differentiation, complexity and adaptability. Journal of Educational Administration, 45(1), 8-32. Yuen, A. H. K., Law, N., & Wong, K. (2003). ICT implementation and school leadership: Case studies of ICT integration in teaching and learning. Journal of Educational Administration, 41(2), 158-170.
  • 11. Proceedings ascilite 2011 Hobart: Full Paper 1214 Acknowledgement: This project is funded by the Office of Educational Research, National Institute of Education, Project OER 21/09 TSC Author contact details: Seng-Chee Tan sengchee.tan@nie.edu.sg Please cite as: Tan, S.C., & Ong, K.K. A. (2011). Distributed leadership for integration of information and communication technology (ICT) in schools. In G. Williams, P. Statham, N. Brown & B. Cleland (Eds.), Changing Demands, Changing Directions. Proceedings ascilite Hobart 2011. (pp.1204-1214). http://www.ascilite.org.au/conferences/hobart11/procs/Tan-full.pdf Copyright © 2011 Seng-Chee Tan & Ong Kian-Keong Aloysius. The author(s) assign to ascilite and educational non-profit institutions, a non-exclusive licence to use this document for personal use and in courses of instruction, provided that the article is used in full and this copyright statement is reproduced. The author(s) also grant a non-exclusive licence to ascilite to publish this document on the ascilite web site and in other formats for the Proceedings ascilite Hobart 2011. Any other use is prohibited without the express permission of the author(s).