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SUSTAINING LEARNING DESIGN AND
                         PEDAGOGICAL PLANNING IN CSCL
Persico D., Pozzi F.
Institute for Educational Technology (ITD) – National Council for Research (CNR), Italy
E-mail: [persico, pozzi]@itd.cnr.it

Extended Abstract – Category ->Position Paper

Introduction
Presently the broad field encompassing instructional design, learning design and pedagogical
planning, even though by no means new, is one which still attracts a lot of attention in the TEL
(Technology Enhanced Learning) research area. The reason for this is not only that its importance is
becoming ever more strategic but also that the difficulties faced are growing, encompassing the
needs for personalization and orchestration of technology rich environments, to mention a few.
Olimpo et al.(2010) point out that nowadays the term ‘learning design’ is intended in a variety of
manners in the literature and that researchers have delineated different concepts to denote the
artefacts resulting from the learning design process (learning design, learning scenario, pedagogical
scenario, didactical scenario, pedagogical plans, lesson plans, etc.). Pernin and Lejeune (2006)
provide one of the broadest definitions of these artifacts as “a description of the playing out of a
learning situation or a unit of learning aimed at the acquisition of a precise body of knowledge
through the specification of roles and activities, as well as knowledge handling resources, tools,
services and results associated with the implementation of the activities”. As it is well known, a
great impulse to research in this field was given by the creation of the IMS-LD specification
(Koper, 2006), which captures who does what, when and using which materials and services in
order to achieve particular learning objectives. The specification describes the constructs of the
language and gives a binding in XML. The XML document instance is “loaded into” an IMS-LD-
aware application and “played” (Cameron, 2009). Directly stemmed from this and other educational
languages, or in reaction to these, a number of tools have been implemented, aimed to produce and
manage ‘runnable’ design artifacts (e.g. Coppercore, RELOAD, LDshake, LAMS,
CompendiumLD).
In addition to these systems, other kinds of tools have also been implemented in recent days, which
can be categorized under the label of “inspirational” tools (Falconer et al., 2007), whose main
characteristic is to be more educator- than learner-oriented, and, as such, closer to the pedagogical
plan concept (Olimpo et al., 2010). These tools are meant to support sharing and reuse of
pedagogical plans by other humans, rather than to produce runnable artifacts that can be “played”
by a computer while interacting with students. The so-called ‘pedagogical planners’ usually aim to
document and describe a learning activity in such a way that other teachers can understand the
rationale behind it, as well as the context where this had been created. The focus of attention is on
the process of designing learning, and the importance of the artifacts this process produces lies in
their reusability by other designers. A learning design (or pedagogical plan) of this kind may be of
any degree of granularity, ranging from a course to an individual activity (Cameron, 2009).
Under this latter category we can certainly place several tools designed and developed at ITD-CNR,
aimed to support teachers and educators in the design, sharing and reuse of learning activities
(Olimpo et al., 2010; Earp & Pozzi, 2006).

Pedagogical Planning for CSCL
The issue of how to design effective learning activities has been debated for a long while within the
Computer Supported Collaborative Learning (CSCL) research field too (The Cognition and
Technology Group at Vanderbilt, 1991; Scardamalia & Bereiter, 1994; Dillenbourg, 1999; Paloff &
Pratt, 1999).
In analogy with the general panorama sketched above, research in this specific field has also
resulted in a number of different approaches and systems. However, the challenge of designing
CSCL events is even harder to face, mostly due to the fact that the socio-constructivist paradigm
underlying CSCL requires the designer to devise pedagogical plans embodying a large amount of
flexibility, adaptation and personalization and that, in addition to individual responses, the designer
needs to consider the rather unpredictable dynamics of a community of learners.
Concepts such as collaborative techniques (Pozzi & Persico, 2011), Design Patterns and CLFPs
(HernĂĄndez-Leo et al., 2005), and collaborative scripts (Dillenbourg, 2002; Dillenbourg & Hong,
2008; Dillenbourg & Jerman, 2007; Kollar et al., 2006; Weinberger et al., 2004; Fischer et al.,
2007) have been proposed as ways to describe and provide structure to online collaborative
activities; on the other hand, tools, such as Collage (HernĂĄndez-Leo et al., 2006) or CeLS (Ronen et
al., 2006), have been implemented to reify some of the above mentioned concepts with the aim to
support teachers, educators and practitioners in the design and sharing of effective online
collaborative learning activities.
This paper focuses on an ongoing effort aimed at providing a framework encompassing these
different approaches to pedagogical planning of online collaborative learning events. A tentative
formulation of such a framework was proposed by Persico & Pozzi (2011). Originally, the
proposed framework identified 3Ts, that is Task, Team(s) and Time, as the main dimensions along
which one may look at the structure of an online learning activity, at least in formal learning.
In March 2011 a workshop was organized at the STELLAR Alpine Rendez-Vous 2011, whose title
was “Structuring online collaboration through 3Ts: Task, Time and Teams”. This workshop started
by focusing on the 3Ts framework and moved on from it with the aim of refining it and finding a
common backbone to the existing perspectives and approaches for the CSCL design, with particular
reference to those adopted by the workshop participants, who were all experts in the field. The
workshop provided significant feedback to improve and refine the framework (Pozzi et al., 2011),
including the idea that the role of Technology should be made visible in the framework and that the
importance of student agency should be specifically born in mind when designing CSCL. Starting
from this experience, a second version of the model was then conceived, which has its main value
in being the result of a joint discussion and negotiation among experts in the field of collaborative
learning design.
The new model identifies 4 dimensions as the main elements around which it is possible to design
and structure an online collaborative learning activity: Task, Team(s), Time and Technology (see
Figure below).




The idea underpinning the model is that – generally speaking – Task, Teams, Time and Technology
can be regarded as the main elements characterizing online collaborative activities. Thus a
collaborative activity may be seen as the resultant of: a Task to be accomplished by students,
usually envisaging the production of a common output, the Teams which students should be
aggregated in to accomplish the Task and their mode(s) of interactions, and the Time schedule
proposed to students to carry out the activity. The whole activity takes place within Technology rich
learning environment, providing the communication channels through which interactions among
participants occur.
While designing an online collaborative learning activity, the CSCL designer has to take decisions
concerning these 4 elements, as well as concerning the relationships among them (see Figure
above), given that the choices on one element may heavily affect the others. In the picture above,
the links between the 4Ts represent this interdependence: when a designer takes a decision
concerning Task, choices concerning the other Ts are influenced by this original decision. While the
Task is often the ruling T, it usually happens that Time constraints and Team composition also exert
an influence on the Task definition. Similarly, the choices about what kind of Technology should be
used follow from the learning objectives and the Task, but it is also well known that Technology is
not neutral and in turn influences the way people interact among themselves and with the
environment.
This model can hopefully be used as a conceptual framework to support the design of most online
collaborative learning activity, and it is general enough to encompass the existing perspectives and
approaches in the field of CSCL design.

By presenting this contribution at the ASLD workshop, the authors would like to propose the 4Ts
model to the participants, discuss it by providing examples of use and possibly map the learning
design tools and resources which are examined by the LDG Theme Team (e.g. Collage,
CompendiumLD, Clouds, etc.) on the 4Ts model itself, aiming to further evaluate whether and to
what extent this model is compatible with other approaches and / or to reflect on the possibility to
design and implement a new tool (or an extension of existing tools) able to reify the 4 Ts model.
References

Cameron, L. (2009). How learning design can illuminate teaching practice. The Future of Learning
Design Conference. Paper 3. http://ro.uow.edu.au/fld/09/Program/3
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Heerlen, NL: Open Universiteit Nederland, pp. 61-91.
Dillenbourg, P. (Ed.) (1999). Collaborative Learning: Cognitive and Computational Approaches,
Pergamon Press.
Dillenbourg, P. & Hong, F. (2008). The Mechanics of Macro Scripts. International Journal of
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Ertl, B., Kopp, B., & Mandl, H. (2007). Supporting collaborative learning in videoconferencing
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Falconer, I., Beetham, H., Oliver, R., Lockyer, L., & Littlejohn, A. (2007). Mod4L final report:
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HernĂĄndez-Leo, D., Asensio-PĂ©rez, J. I., Dimitriadis, Y., Bote-Lorenzo, M. L., JorrĂ­n-AbellĂĄn, I. M.
& Villasclaras-FernĂĄndez, E. D. (2005). Reusing IMS-LD Formalized Best Practices in
Collaborative Learning Structuring. Advanced Technology for Learning, 2(3), 223-232.
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AbellĂĄn, I. M., Ruiz-Requies, I. & Rubia-Avi, B. (2006). COLLAGE: A collaborative Learning
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environments, World Journal on Educational Technology, vol 3, Issue 1, pp.1-15.
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Sustaining Learning Design and Pedagogical Planning in CSCL

  • 1. SUSTAINING LEARNING DESIGN AND PEDAGOGICAL PLANNING IN CSCL Persico D., Pozzi F. Institute for Educational Technology (ITD) – National Council for Research (CNR), Italy E-mail: [persico, pozzi]@itd.cnr.it Extended Abstract – Category ->Position Paper Introduction Presently the broad field encompassing instructional design, learning design and pedagogical planning, even though by no means new, is one which still attracts a lot of attention in the TEL (Technology Enhanced Learning) research area. The reason for this is not only that its importance is becoming ever more strategic but also that the difficulties faced are growing, encompassing the needs for personalization and orchestration of technology rich environments, to mention a few. Olimpo et al.(2010) point out that nowadays the term ‘learning design’ is intended in a variety of manners in the literature and that researchers have delineated different concepts to denote the artefacts resulting from the learning design process (learning design, learning scenario, pedagogical scenario, didactical scenario, pedagogical plans, lesson plans, etc.). Pernin and Lejeune (2006) provide one of the broadest definitions of these artifacts as “a description of the playing out of a learning situation or a unit of learning aimed at the acquisition of a precise body of knowledge through the specification of roles and activities, as well as knowledge handling resources, tools, services and results associated with the implementation of the activities”. As it is well known, a great impulse to research in this field was given by the creation of the IMS-LD specification (Koper, 2006), which captures who does what, when and using which materials and services in order to achieve particular learning objectives. The specification describes the constructs of the language and gives a binding in XML. The XML document instance is “loaded into” an IMS-LD- aware application and “played” (Cameron, 2009). Directly stemmed from this and other educational languages, or in reaction to these, a number of tools have been implemented, aimed to produce and manage ‘runnable’ design artifacts (e.g. Coppercore, RELOAD, LDshake, LAMS, CompendiumLD). In addition to these systems, other kinds of tools have also been implemented in recent days, which can be categorized under the label of “inspirational” tools (Falconer et al., 2007), whose main characteristic is to be more educator- than learner-oriented, and, as such, closer to the pedagogical plan concept (Olimpo et al., 2010). These tools are meant to support sharing and reuse of pedagogical plans by other humans, rather than to produce runnable artifacts that can be “played” by a computer while interacting with students. The so-called ‘pedagogical planners’ usually aim to document and describe a learning activity in such a way that other teachers can understand the rationale behind it, as well as the context where this had been created. The focus of attention is on the process of designing learning, and the importance of the artifacts this process produces lies in their reusability by other designers. A learning design (or pedagogical plan) of this kind may be of any degree of granularity, ranging from a course to an individual activity (Cameron, 2009). Under this latter category we can certainly place several tools designed and developed at ITD-CNR, aimed to support teachers and educators in the design, sharing and reuse of learning activities (Olimpo et al., 2010; Earp & Pozzi, 2006). Pedagogical Planning for CSCL The issue of how to design effective learning activities has been debated for a long while within the Computer Supported Collaborative Learning (CSCL) research field too (The Cognition and Technology Group at Vanderbilt, 1991; Scardamalia & Bereiter, 1994; Dillenbourg, 1999; Paloff & Pratt, 1999).
  • 2. In analogy with the general panorama sketched above, research in this specific field has also resulted in a number of different approaches and systems. However, the challenge of designing CSCL events is even harder to face, mostly due to the fact that the socio-constructivist paradigm underlying CSCL requires the designer to devise pedagogical plans embodying a large amount of flexibility, adaptation and personalization and that, in addition to individual responses, the designer needs to consider the rather unpredictable dynamics of a community of learners. Concepts such as collaborative techniques (Pozzi & Persico, 2011), Design Patterns and CLFPs (HernĂĄndez-Leo et al., 2005), and collaborative scripts (Dillenbourg, 2002; Dillenbourg & Hong, 2008; Dillenbourg & Jerman, 2007; Kollar et al., 2006; Weinberger et al., 2004; Fischer et al., 2007) have been proposed as ways to describe and provide structure to online collaborative activities; on the other hand, tools, such as Collage (HernĂĄndez-Leo et al., 2006) or CeLS (Ronen et al., 2006), have been implemented to reify some of the above mentioned concepts with the aim to support teachers, educators and practitioners in the design and sharing of effective online collaborative learning activities. This paper focuses on an ongoing effort aimed at providing a framework encompassing these different approaches to pedagogical planning of online collaborative learning events. A tentative formulation of such a framework was proposed by Persico & Pozzi (2011). Originally, the proposed framework identified 3Ts, that is Task, Team(s) and Time, as the main dimensions along which one may look at the structure of an online learning activity, at least in formal learning. In March 2011 a workshop was organized at the STELLAR Alpine Rendez-Vous 2011, whose title was “Structuring online collaboration through 3Ts: Task, Time and Teams”. This workshop started by focusing on the 3Ts framework and moved on from it with the aim of refining it and finding a common backbone to the existing perspectives and approaches for the CSCL design, with particular reference to those adopted by the workshop participants, who were all experts in the field. The workshop provided significant feedback to improve and refine the framework (Pozzi et al., 2011), including the idea that the role of Technology should be made visible in the framework and that the importance of student agency should be specifically born in mind when designing CSCL. Starting from this experience, a second version of the model was then conceived, which has its main value in being the result of a joint discussion and negotiation among experts in the field of collaborative learning design. The new model identifies 4 dimensions as the main elements around which it is possible to design and structure an online collaborative learning activity: Task, Team(s), Time and Technology (see Figure below). The idea underpinning the model is that – generally speaking – Task, Teams, Time and Technology can be regarded as the main elements characterizing online collaborative activities. Thus a collaborative activity may be seen as the resultant of: a Task to be accomplished by students, usually envisaging the production of a common output, the Teams which students should be
  • 3. aggregated in to accomplish the Task and their mode(s) of interactions, and the Time schedule proposed to students to carry out the activity. The whole activity takes place within Technology rich learning environment, providing the communication channels through which interactions among participants occur. While designing an online collaborative learning activity, the CSCL designer has to take decisions concerning these 4 elements, as well as concerning the relationships among them (see Figure above), given that the choices on one element may heavily affect the others. In the picture above, the links between the 4Ts represent this interdependence: when a designer takes a decision concerning Task, choices concerning the other Ts are influenced by this original decision. While the Task is often the ruling T, it usually happens that Time constraints and Team composition also exert an influence on the Task definition. Similarly, the choices about what kind of Technology should be used follow from the learning objectives and the Task, but it is also well known that Technology is not neutral and in turn influences the way people interact among themselves and with the environment. This model can hopefully be used as a conceptual framework to support the design of most online collaborative learning activity, and it is general enough to encompass the existing perspectives and approaches in the field of CSCL design. By presenting this contribution at the ASLD workshop, the authors would like to propose the 4Ts model to the participants, discuss it by providing examples of use and possibly map the learning design tools and resources which are examined by the LDG Theme Team (e.g. Collage, CompendiumLD, Clouds, etc.) on the 4Ts model itself, aiming to further evaluate whether and to what extent this model is compatible with other approaches and / or to reflect on the possibility to design and implement a new tool (or an extension of existing tools) able to reify the 4 Ts model.
  • 4. References Cameron, L. (2009). How learning design can illuminate teaching practice. The Future of Learning Design Conference. Paper 3. http://ro.uow.edu.au/fld/09/Program/3 Dillenbourg, P. (2002). Over-scripting CSCL: The risks of blending collaborative learning with instructional design. In Kirschner P. A. (Ed.), Three worlds of CSCL. Can we support CSCL, Heerlen, NL: Open Universiteit Nederland, pp. 61-91. Dillenbourg, P. (Ed.) (1999). Collaborative Learning: Cognitive and Computational Approaches, Pergamon Press. Dillenbourg, P. & Hong, F. (2008). The Mechanics of Macro Scripts. International Journal of Computer-Supported Collaborative Learning, 3 (1), 5-23. Dillenbourg, P. & Jermann, P. (2007). Designing Integrative Scripts. In F. Fischer, I. Kollar., H. Mandl and J.M. Haake (Eds.), Scripting Computer-Supported Collaborative Learning Cognitive, Computational and Educational Perspectives, Springer. Earp, J. & Pozzi, F. (2006). Fostering reflection in ICT-based pedagogical planning. In R. Philip, A. Voerman, & J. Dalziel (Eds.), Proc. First Int. LAMS Conference 2006: Designing the future of learning (pp. 35-44). Sydney: LAMS Foundation. Ertl, B., Kopp, B., & Mandl, H. (2007). Supporting collaborative learning in videoconferencing using collaboration scripts and content schemes. In F. Fischer, I. Kollar, H. Mandl & J. M. Haake (Eds.), Scripting computer-supported communication of knowledge – cognitive, computational and educational perspectives (pp. 213-236). Berlin Heidelberg, Germany: Springer. Falconer, I., Beetham, H., Oliver, R., Lockyer, L., & Littlejohn, A. (2007). Mod4L final report: Representing learning designs. http://mod4l.com/tiki-download_file.php?fileId=7 Fischer, F., Kollar, I., Mandl, H. & Haake, J. (Eds.) (2007). Scripting computer-supported collaborative learning: Cognitive, computational and educational perspectives. New York: Springer. HernĂĄndez-Leo, D., Asensio-PĂ©rez, J. I., Dimitriadis, Y., Bote-Lorenzo, M. L., JorrĂ­n-AbellĂĄn, I. M. & Villasclaras-FernĂĄndez, E. D. (2005). Reusing IMS-LD Formalized Best Practices in Collaborative Learning Structuring. Advanced Technology for Learning, 2(3), 223-232. HernĂĄndez-Leo, D., Villasclaras-FernĂĄndez, E. D., Asensio-PĂ©rez, J. I, Dimitriadis, Y., JorrĂ­n- AbellĂĄn, I. M., Ruiz-Requies, I. & Rubia-Avi, B. (2006). COLLAGE: A collaborative Learning Design editor based on patterns,.Educational Technology & Society, 9 (1), 58-71. Kollar, I., Fischer, F. & Hesse, F. W. (2006). Computer-supported collaboration scripts - a conceptual analysis. Educational Psychology Review. 18(2), 159-185(27). Koper, R. (2006). Current research in learning design. Educational Technology & Society, 9(1), 13- 22. Olimpo, G., Bottino, R.M., Earp, J., Ott ,M., Pozzi, F. & Tavella, M. (2010). Pedagogical plans as communication oriented objects. Computers & Education, 55, 476-488. Palloff, R. M. & Pratt, K. (1999). Building learning communities in cyberspace, San Francisco: Jossey-Bass Publishers. Pernin, J. P., & Lejeune, A. (2006). Models for the re-use of learning scenarios. Nederland: DSpace at Open Universiteit. http://dspace.ou.nl/handle/1820/580
  • 5. Persico, D., & Pozzi, F. (2011).Task, Team and Time to structure online collaboration in learning environments, World Journal on Educational Technology, vol 3, Issue 1, pp.1-15. http://www.world-education-center.org/index.php/wjet/issue/view/26 Pozzi, F. & Persico, D. (Eds.) (2011). Techniques for fostering collaboration in online learning communities: theoretical and practical perspectives, Information Science Reference - IGI Global, Harshey, PA, pp. 397. Pozzi, F., Persico, D., Dimitriadis, Y., Joubert, M., Tissenbaum, M., Tsovaltzi, D., Voigt, C. & Wise, A. (2011). Structuring online collaboration through 3Ts: Task, Time and Teams. White Paper at the STELLAR Alpine Rendez-Vous 2011. http://www.telearn.org/warehouse/ARV2011_WhitePaper_StructuringOnlineCollaborationthrough3 Ts_%28006754v1%29.pdf Ronen, M., Kohen-Vacs, D. & Raz-Fogel, N. (2006). Structuring, Sharing and Reusing Asynchronous Collaborative Pedagogy. Paper presented at the International Conference of the Learning Sciences, ICLS 2006, Indiana University, Bloomington IN. Scardamalia, M. & Bereiter, C. (1994). Computer support for knowledge-building communities, The Journal of the Learning Sciences, 3 (3), 265-283. The Cognition and Technology Group at Vanderbilt (1991). Some thoughts about constructivism and instructional design. Educational Technology, 31(10), 16-18. Weinberger, A., Ertl, B., Fisher, F. & Mandl, H. (2004). Cooperation Scripts for Learning via Web- Based Discussion Boards and Videoconferencing, Paper presented at EARLI SIM 2004, Tubingen. http://www.cs.uu.nl/docs/vakken/b3elg/literatuur_files/weinberg.pdf