1. Kurkistus teoriaan ja teknologiatuen
opetuksen suunnitteluun
Aineopettajien tvt-kurssi. Kevät 2013.
Jari Laru, KT, kasvatustieteiden tiedekunta, Oulun yliopisto
2013
2. Oppimisen ja koulutusteknologian tutkimusyksikkö (LET)
http://www.oulu.fi/let
Koulutusteknologian opinnot ovat
Perehtymistä uusimpaan tutkimustietoon
oppimisesta
Yhteisöllinen oppiminen
Itsesäätöinen oppiminen
Asiantuntijaksi oppiminen
Monipuolisia teknologiaratkaisuja
Yhteistyötä paikallisten työnantajien kanssa
Kansainvälistä yhteistyötä
Oma viiteryhmäni on oppimisen ja
koulutusteknologian tutkimus
21. Opettajan tehtävä on
järjestää oppimistilanteita
– orkestroida..
Dillenbourg, P. (2010), The
appeal of motionless devices in
a world where everything
moves. Keynote talk at the 6th
IEEE WMUTE 2010
Conference, Kaohsiung,
Taiwan, accessed on June 29,
2011 at
http://wmute2010.cl.ncu.edu.tw/
Pierre%20DILLENBOURG.pdf.
37. AIMS from past to today
This thesis work focuses on developing and analyzing
innovative ways of supporting applying the framework of
distributed scaffolding for learning activities in authentic
real world contexts.
In this study theoretical ideas of cognitive tools,
collaborative learning and scaffolding are applied for
designing light-weight mobile software and pedagogical
models for learning in authentic real world contexts.
This is done in order to generate new knowledge and
solutions that advance collaborative learning in mobile
computer supported collaborative learning
38. EMI ILE INTHIG
Case I
workplace (n=10)
Case III
University (N=22)
Introduction
Earli SIG
Case II
Nature (N=22)
Mobile computers Everyday contexts
Scaffolding collaborative
learning with cognitive
tools based on
mobilecomputers
Master’s programme,
University, Professional
Community, K-12 students,
Higher Education students,
Nature school
40. Laru, J. & Järvelä, S. (2008). Social patterns in mobile technology mediated collaboration among members of the professional distance education
community. Educational Media International Journal, 45(1),17-3.
The aim of this study was to identify social patterns in mobile technology mediated collaboration among distributed members of the
professional distance education community. Ten participants worked for twelve weeks designing a master’s programme in Information
Sciences. The participants’ mobile technology usage activity and interview data were first analyzed to get an overview of the density
and distribution of collaboration at individual and community levels. Secondly, the results of the social network analyses were
interpreted to explore how different social network patterns of relationships affect online and offline interactions. Thirdly, qualitative
descriptions of participant teamwork were analysed to provide practical examples and explanations. Overall, the analyses revealed
nonparticipative behaviour within the online community. The social network analysis revealed structural holes and sparse collaboration
among participants in the offline community. It was found that due to their separated practices in the offline community, they didn’t
have a need for mobile collaboration tools in their practices.
In this single-case study, small groups of learners were supported by use of multiple social software tools and face-to-face activities in the context of
higher education. The aim of the study was to explore how designed learning activities contribute to students’ learning outcomes by studying
probabilistic dependencies between the variables. The participants (n=22) worked in groups of four to five students for 12 weeks. Groups were
required to complete a wiki project by the end of the semester. In order to complete the wiki project, students needed to participate in recurrent
solo and collective phases mediated by the use of social software tools and face-to-face meetings in their respective sessions. The data for
multivariate Bayesian analysis was composed of video recordings, social software usage activity and pre- and post-tests of students’ conceptual
understanding. In our case, we found that using social software tools together to perform multiple tasks likely increased individual knowledge
acquisition during the course. Bayesian classification analysis revealed that the best predictors of good learning outcomes were wiki-related
activities. In addition, according to the Bayesian dependency model, students who monitored their peers’ work via syndication services and who
were active by adding, modifying or deleting text in their group’s wiki obtained higher scores. The model also shows that many other learning
activities were indirectly related to learning outcome.
This study explores how collaborative inquiry learning can be supported with multiple scaffolding agents in a real-life field trip context. In
practice, a mobile peer-to-peer messaging tool provided meta-cognitive and procedural support, while tutors and a nature guide provided
more dynamic scaffolding in order to support argumentative discussions between groups of students during the cocreation
of knowledge claims. The aim of the analysis was to identify and compare top- and low-performing dyads/triads in order to reveal the
differences regarding their co-construction of arguments while creating knowledge claims. Although the results revealed several shortcomings
in the types of argumentation, it could be established that differences between the top performers and low performers were statistically
significant in terms of social modes of argumentation, the use of warrants in the mobile tool and in overall participation. In
general, the use of the mobile tool likely promoted important interaction during inquiry learning, but led to superficial epistemological quality
in the knowledge claim messages.
Laru, J., Järvelä, S. & Clariana, R. (2010). Supporting collaborative inquiry during a biology field trip with mobile peer-to-peer tools for
learning: a case study with K-12 learners. Interactive Learning Environments, Online first, 1-15. doi:10.1080/10494821003771350
Laru, J., Näykki, P. & Järvelä, S. (2011). Supporting small-group learning using multiple Web 2.0 tools: A case study in the higher education
context. Special issue on Web 2.0 on Higher Education. Journal of Internet and Higher Education.
Supporting small-group learning using multiple Web 2.0 tools: A case study in the higher education context
Supporting collaborative inquiry during a biology field trip with mobile peer-to-peer tools for learning: a
case study with K-12 learners
Social patterns in mobile technology mediated collaboration among members of the professional distance
education community
41. Supporting small-group learning using multiple Web 2.0 tools: A case study in the higher education context
Supporting collaborative inquiry during a biology field trip with mobile peer-to-peer tools for learning: a
case study with K-12 learners
Social patterns in mobile technology mediated collaboration among members of the professional distance
education community
Questions
1. What is the density and the distribution of the collaboration at
individual and community levels in the online and offline communities?
2. How do different social network patterns of relationships affect online
and offline interactions?
3. How do participants describe teamwork and the technologies used to
support it?
1. What were the differences between top and low performers in regards
to collaborative inquiry learning during the field trip? groups?
2. What was the difference between top and low performers in regards to
the structural quality of knowledge claim messages?
3. How much did the top and low performers learn about biology during
the field trip?
1. How much did students learn during the course?
2. Which social software and face-to-face variables were the best predictors
for identifying differences between high- and low-performing groups of
students?
3. What was the impact of social software and face-to-face sessions on
individual students' learning gain?
42. Supporting small-group learning using multiple Web 2.0 tools: A case study in the higher education context
Supporting collaborative inquiry during a biology field trip with mobile peer-to-peer tools for learning: a
case study with K-12 learners
Social patterns in mobile technology mediated collaboration among members of the professional distance
education community
• 1st generation: mobile
versions of desktop tools:
FLE3mobile
• wlan
• 2nd generation: context-
aware peer-to-peer mobile
tools: flyers
• mobile encounter network
(bluetooth)
• 3nd generation: mobile social
media: mobile clients + flickr
+ wordpress + wikispaces +
google reader
• 3G connectivity
Tools
43. Supporting small-group learning using multiple Web 2.0 tools: A case study in the higher education context
Supporting collaborative inquiry during a biology field trip with mobile peer-to-peer tools for learning: a
case study with K-12 learners
Social patterns in mobile technology mediated collaboration among members of the professional distance
education community
• Dyads/Triads
• Ill-structured task
• Argumentative collaboration
• Procedural scaffolding & metacognitive
scaffolding
Design ”Let’s try it” ..
• No groups designed (participants worked in
three teams though)
• No clear task, work related activities (no formal
learning)
• Knowledge building
• Metacognitive scaffolding
• 4-5 students per group
• Ill-structured tasks
• Small groups of learners were supported by
multiple social software tools and face-to-face
activities
• Recurrent individual and collaborative phases
• Multiple scaffolds
44. Laru, J. & Järvelä, S. (2008). Social patterns in mobile
technology mediated collaboration among members of the
professional distance education community. Educational
Media International Journal, 45(1),17-3.
