Title: COLLAGE, a Collaborative Learning Design Editor Based on Patterns
1 COLLAGE, a Collaborative Learning Design Editor
Based on Patterns
Davinia Hernández-Leo, Eloy Villasclaras-Fernández
, Iván M. Jorrín-Abellán, Juan I. Asensio-Pérez,
Yannis Dimitriadis,Inés Ruiz-Requies, Bartolomé
Rubia-Avi GSIC / EMIC Group University of
Valladolid, Spain
Workshop on Current Research on
IMS-LD Valkenburg, September 22-23, 2005
http//gsic.tel.uva.es
2Contents
- Introduction
- Collaborative Learning Flow Patterns (CLFP)
- Collage (COLaborative LeArning desiGn Editor)
- Preliminary evaluation
- Conclusions
3Introduction (I)
- CSCL (Computer Supported Collaborative Learning)
- Social interactions as essential for learning
- Coexistence of different expectations,
requirements, knowledge, interest of CL
practitioners and technologists - Identification and analysis of requirements for
the development of CSCL solutions that support
effective ways of learning - CL practitioners become active players in
customizing technological solutions to the needs
of their particular learning situations
4Introduction (II)
- How to obtain technological solutions for CL
capable of being modified / particularized /
customized by users of CSCL, which are not
(usually) technical experts? - CL practitioners and technologist are not
separated players with clear responsibility
boundaries - Solution
- Facilitating practitioners to play the role of
designers
5Introduction (III)
- Enabling participatory design by means of
authoring tools for collaboration scripts - CL practitioners can influence in the behavior
and functionality of a CSCL solution by providing
a formalized collaboration script - - Formalisms (XML) are not familiar to educators
- - CL complexity
- Authoring tools that guide practitioners through
the elaboration of scripts by representations and
abstractions easy to understand and use
6Introduction (IV)
- How can teachers develop
- effective collaborative learning designs/
collaboration scripts - that are to be interpreted by LMSs
- so that they can influence in the behavior and
functionality of the CSCL system - according to the necessities of a particular
learning situation?
7Introduction (V)
- Approach
- Collaborative learning designs based on patterns
in best practices - Re-usable patterns as a basis for new designs
(such a kind of template that can be filled to
create the new collaboration script) - Patterns can be particularized and combined
- Formalization of the patterns / designs so that
they are computer-interpretable - using IMS Learning Design (IMS-LD)
8Introduction (VI)
- Diverse approaches of LD editors
- RELOAD, CopperAuthor, COSMOS general purpose
editors close to the specification (for LD
experts) - MOT Editor, ASK-LDT graphical representations
facilitates the authoring, but still LD knowledge
is needed - Our approach
- A high-level (distant from the specification,
user-friendly) collaborative-learning specialized
editor that allows teachers to create their own
collaborative LD by starting from existing
patterns - COLLAGE (COLaborative LeArning desiGn Editor)
-
9CL Flow Patterns (I)
- Collection and formulation of
- Broadly accepted techniques repetitively used by
CL practitioners (best practices) when
structuring the flow of types of (collaborative)
learning activities - as
- patterns Collaborative Learning Flow Patterns
(CLFPs) - Solution to a recurrent problem what flow of
activities for promoting desired educational
objectives - Way of communicating CL expertise
10CL Flow Patterns (II)
(related larger patterns)
- SCRIPTED Collaborative Learning
- This pattern gives the collaborative learning
flow for a context in which several small groups
are facing the study of a lot of information for
the resolution of the same problem. -
- The collaborative learning flow must enable the
resolution of a complex problem/task that can be
easily divided into sections or independent
sub-problems
CONTEXT
PROBLEM
11CL Flow Patterns (III)
(educational objectives)
(E.g.) To promote the feeling team members need
each other to succeed (positive
interdependence) High-risk more appropriate for
collaborative learning experienced
individuals Each participant in a group (Jigsaw
Group) studies a particular sub-problem. The
participants of different groups that study the
same problem meet in an Expert Group for
exchanging ideas. These temporary groups become
experts in the section of the problem given to
them. At last, participants of each Jigsaw
group meet to contribute with its expertise in
order to solve the whole problem.
(complexity)
SOLUTION
12CL Flow Patterns (IV)
(diagramrepresentingthe solution)
Introductory individual (or initial group)
activity
Collaborative activity around the sub-problem
Collaborative activity around the problem and
solution proposal
13CL Flow Patterns (V)
(E.g.) The expert-group phase can be
structured according to Pyramid CLFP or
Brainstorming CLFP Particularization into a
script (E.g.) Provide experts with a tool so
that they can take notes during the expert group
that provide support when the original group
re-assembles Instantiation of the Jigsaw
CLFP-based script (E.g.) Being the only expert
in a sub-problem in the Jigsaw Group can be a
demanding experience. This can be mitigated if
two group members share the same section of the
problem.
(related patterns)
(recommendations for particularization /
customization, instantiation and execution)
14CL Flow Patterns (VI)
Collaborative understanding of a paper where each
subsection is assigned to each member of every
Jigsaw Group Aronson, E., Thibodeau, R.
(1992). The Jigsaw classroom a cooperative
strategy for an educational psychology course. In
Lynch, J., Modgil, C. Modgil, S. (Eds.),
Cultural diversity and the schools, Washington
Palmer, 231-256. Clarke, J. (1994). "Pieces of
the puzzle The jigsaw method" In Sharan, S.
(Ed.), Handbook of cooperative learning methods,
Greenwood Press. Johnson, D.W., Johnson, R.T.
(1999). Learning together and alone cooperative,
competitive and individualistic learning. (5th
ed.) Needham Heights, MA Allyn and Bacon.
(example)
(references)
15CL Flow Patterns (VII)
- CLFPs can be collectively used forming CLFPs
hierarchies in order to define more complex
collaborative learning flows - CLFPs can be combined
- (a phase of a CLFP is structured using another
CLFP) - Or concatenated
- (separated consecutive phases of a design are
structured using different CLFPs) -
16CL Flow Patterns (VIII)
- Recapitulating
- Need of formalizing CLFPs so that
- they can be implemented in authoring tools
- for designing potentially effective collaboration
scripts - that are to be interpreted by LMSs
17Collage (I)
(COLlaborative LeArning desiGn
Editor) http//gsic.tel.uva.es/collage
(Graphic-based high-level specialized authoring
tool for collaborative learning. Based on Reload.
IMS-LD level A compliant)
18Collage (II)
Design process (1)
IMS-LD formalized CLFPs
a. Choose a CLFP depending on the objectives
promoted, the type of problem or task the CLFP is
more suited and the complexity
Selecting a CLFP
b. Read the help about the chosen CLFP
Understand the learning flow structure on which
the LD will be based
Authoring a CLFP-based LD
19Collage (II)
Selecting a CLFP (1)
Learning objectives
Type of problems / tasks
Complexity (CL experience)
20Collage (III)
Selecting a CLFP (2)
Overview
Example
21Collage (IV)
Design process (2)
IMS-LD formalized CLFPs
c. Determine the title, objectives and
prerequisites of the LD
Selecting a CLFP
d. Specify the collaborative learning flow The
learning flow of the selected CLFP can be
enriched replacing one or several of its phases
with another CLFP. Depending on the CLFP some
aspects should be decided.
e. Define the description activities, activity
completion, the information about roles
(including groups), group-size limits.
Authoring a CLFP-based LD
g. Determine and configure the resources needed
to support the activities
h. Associate resources to activities
i. Package the LD into a Unit of Learning
f. Create or select resources (content and tools)
22Collage (V)
Authoring a CLFP-based LD (1)
23Collage (VI)
- Trade off between generality and unrestricted
design options vs. good reuse and
particularization of CLFPs (and hierarchies) and
an easy edition of collaborative LDs - Intuitive graphical representation of CLFPs
- User do not need to know the existence and
function of some (difficult to understand) IMS-LD
elements - Interoperability but it is not a viewer of any
LD - Selection of CLFPs (considering users not
familiar with the jargon) supporting the
analysis phase - Reuse learning flow vs. reuse activity (LAMS)
complementary
24Preliminary evaluation (I)
- Collage and further information about our
authoring tool is available in http//gsic.tel.uva
.es/collage - User manual, worksheet and questionnaire
- Example
- brief description of the example
- UoL
- some snapshots of CopperCore running it
25Preliminary evaluation (II)
- Design a real CL experience
- Faculty of Education, University of Valladolid,
Spain - Course The use of ICT in Education
- Conceptual objective deeper understanding of
three topics - Blended scenario (F2F and distance activities,
with and without computer-support) - 40 students
- Tools Synergeia BSCL and MapTool
- Method Combination of Jigsaw and Pyramid CLFPs
26Preliminary evaluation (III)
- Conditions of the evaluation study
- The three teachers (familiar with CLFPs but not
with LD, first time using Collage), 90 minutes,
worksheet - Qualitative and quantitative approaches
- Direct observations, questionnaires, analysis of
the generated UoLs - Categories of analysis user profile, general use
of the editor, example creation and suggestions
27Preliminary evaluation (IV)
- Some results
- Use of the editor
- Intuitive adequate representations of CLFPs.
Arguments that support the user-friendliness - Example creation
- Successful (with minor problems)
- CopperCore correctly validates the three UoLs
- UoLs largely describes the example (but some
description of activities not completed)
28Preliminary evaluation (V)
- Opinions
- It helps to think in terms of CL and its
previous arrangements - It helps to structure a complex learning design
and promotes time and resources planning - It enables the generation of contextualized
learning processes according to the needs of each
situation
29Preliminary evaluation (VI)
- Further evaluation
- Two other teachers (minor LD knowledge, familiar
with CLFPs, first time using Collage) - Design experiences already performed
- Administration of communication networks
- Jigsaw CLFP combined with Brainstorming CLFP
(expert phase of Jigsaw) and Pyramid CLFP (last
phase of Jigsaw) - Advanced Telematic Systems
- Jigsaw CLFP
- Analogous evaluation method
- Minor usability problems (without worksheet)
30Conclusions (I)
- CLFPs not only stored in a pattern repository
but implemented in an authoring tool - Communicating CL expertise, common conceptual
ground, etc Facilitating its reuse! - Collage Easy edition of potentially effective
LDs by reusing and customizing best practices in
CL structuring (6 CLFPs at the moment but no
limit on combinations) - More CLFPs
- Preliminary evaluations have been made but
further evaluation is needed (users not familiar
with CLFPs, running UoLs in real settings)
31Conclusions (II)
- Integrating Collage into Gridcole, a system
capable of interpreting LDs and setting up the
technological environment - Exploring solutions to the lack of support of LD
level B and C in Collage - Exploring alternative for creating LDs including
CLFPs and other structures - Printed lessons plans (for checking, F2F)
- Management tool for the creation of groups and
binding of individuals to groups according to the
CLFP hierarchy structure of an LD
32Conclusions (III)
- e-Learning project TELL (Towards Effective
network supported coLLaborative learning
activities)(http//cosy.ted.unipi.gr/tell/) - Identifying patterns using real case studies as
a starting point - Other types of patterns. Patterns that involves
activities (e.g. discussion) or general aspects
(e.g. awareness) - How to incorporate these other types of patterns
into authoring tools? -
33COLLAGE, a Collaborative Learning Design Editor
Based on Patterns
Davinia Hernández-Leo, Eloy Villasclaras-Fernández
, Iván M. Jorrín-Abellán, Juan I. Asensio-Pérez,
Yannis Dimitriadis,Inés Ruiz-Requies, Bartolomé
Rubia-Avi GSIC / EMIC Group University of
Valladolid, Spain
Thank you for your attention!
Workshop on IMS-LD Valkenburg, September 22-23,
2005
http//gsic.tel.uva.es
34Summary of the example
35Jigsaw, phase 1
36Pyramid
37Jigsaw, phase 3
38Teacher