artificial intelligence in education, july 2005, amsterdam generating reports of graphical modelling...
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Artificial Intelligence in Education, July 2005, Amsterdam
Generating Reports of Graphical Modelling Processes for Authoring and Presentation
Lars BollenCOLLIDE research groupUniversity Duisburg-Essen, Germany
Supervisor: H.U. HoppeCo-Supervisor: W. van Joolingen
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context
computer supported learning environment graph based modelling
action / interaction analysis authoring by example supporting presentation and
documentation (of modelling processes)
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starting point
collaborative modelling with graph based visual languages
realised e.g. within learning support environment Cool Modes System Dynamics, Petri Nets, UML class
diagrams, discussion support etc.
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problem
learner finishes modelling task: (usually) only the final result is stored as
one artifact process of creating and exploring a model
is compressed into a single, static document
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problem
losing information about different phases (e.g. phases of
argumentation, coordination with peer, design, verification, revision, ...)
design rationale (why did the user choose this solution?)
alternative solutions (that emerged on the way to the final solution)
collaboration (group result = one artifact)
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related works, partial solutions
record and replay approaches „Authoring on the fly“
[Müller, Ottmann, 2005] „E-Chalk“ [Rojas et. al, 2001]
series of snapshots COPRET [Petrou, Dimitracopoulou, 2003]
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approach: generating reports!
>>
Reports are summaries of states / action
traces from modelling processes.
<<
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approach: generating reports!
How to create summaries of modelling processes?
How to visualise such a summary?
What are typical use cases?
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approach: generating reports!
How to visualise a report?
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approach: generating reports!
How to create a report?
“capturing“ workspaces
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approach: segmentation
What are suitable “triggers“ for automated capturing?
detect milestones / phases in modelling processes classify actions that occur in modelling
environment domain-indepent actions (e.g. create, delete, modify
objects) domain-dependent actions (e.g. model structure, design
issue) coordination level (e.g. chat, claiming / releasing key)
time aspects (e.g. clusters of actions, breaks)
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approach: segmentation
What are suitable “triggers“ for capturing? collaborative aspects
floor control find collaborative patterns in action
sequence
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approach: meaning of edges
What is the meaning of the edges in the visualisation of reports? show possible paths of modelling
processes edges contain all information about all
actions that occured between states edges may have an implicit processual
meaning (e.g. X examplifies Y, X explained by Y [Baloian, 1997])
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reports: some use cases
monitoring and analysing automatically collect material from (collaborativ)
modelling processes apply various filters and analysis methods to
collected data supports assessment of results (and processes)
“capturing“ workspaces
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reports: some use cases
authoring by example generating reports can be used to prepare
learning material playback recorded paths into modelling tool automated recommendation of paths?
“play back“
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reports: some use cases
documentation on-the-fly use reports to present own results supports self-assessment, peer-assessment analysis / classification of actions supports
metacognitive skills
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to do next
find suitable classification scheme case studies
find suitable algorithms to detect phases / milestones
elaborate on prototypical implementation