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Seeing What the System Thinks You Know - Visualizing Evidence in an Open Learner Model
LAK 2012, Vancouver, 01 May 2012
Barbara Kump, Christin Seifert, Günter Beham, Stefanie Lindstaedt, Tobias Ley
We suggest an interactive visualization for an Open Learner Model n Open-ended Learning Environment used in the workplace
context n MyExperience is non-invasive and reflect what people are naturally doing at
their workplace
n Large and complex Learning Domain n MyExperience reduces complexity and fit lots on the screen
n Result of an implicit diagnosis n MyExperience is intuitive and correctable é
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Non-invasive Knowledge Assessment and Open Learner Models n Non-invasive knowledge assessment has been used in adaptive
educational systems like Knowledge Tree (Brusilovsky, 2004), Personis (Kay, 2002) and Grapple (DeBra et al. 2010)
n Open Learner models improve understandability and accuracy, and enhance reflection about learning progress (Bull & Kay, 2007)
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Working and Learning in APOSDLE
n Learning is self-directed and driven from workplace tasks
n Learning makes use of existing resources not necessarily designed for learning
n Learning is a social process in which individuals switch roles: learning, working, supporting
n Experts act differently than novices, they don’t just do more of the same
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Complex learning domains: APOSDLE Domain Models
Workplace Domains Tasks Topics
Innovation management 28 133
Regulations on chemicals and their safe use
144
Simulation in Electromagnetism 18 70
RESCUE: Requirement Engineering 58 80
<topic> <topic> <topic>
...
<task>
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All Knowledge Indicating Events are connected to a <topic>
Learner Worker Supporter Neutral
Selecting a learning goal for a task
Viewing a resource Editing an annotation
Saving a document
Selecting a learning goal for a topic
Performing a task Being contacted by a person
Editing a note
Requesting learning hints for a topic
Working on a topic Adding a resource to a collection
Creating a new learning path
Sharing a resource
Contacting a person Rating a snippet
Search request
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«Overview First» Treemap as a space-
filling approach
«Filter» Filter by entering a
search term
«Details on demand» click zooms
to show details
Coordinated Views
Coordinated Views
Conclusions
n Knowledge Indicating Events (KIE) track naturally occurring interactions for learning analysis
n Treemap visualization is intuitive and accepted at the workplace
n Open Learner Models contribute to comprehensibility of the domain model and enhance reflection at the workplace
n Future Work: Currently analyzing KIE from several months of use at the workplace and their prediction of self- and peer assessment
Learning Layers: Scaling up Informal Learning in SME Networks n Learning in Traditional
Industries n Construction
n Health Care
n Mobile Technologies
n Social Semantic Learning Analytics
n Best Project in EU-FP7 Call 8 n 20 partners
n 13 mEUR budget
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Tobias Ley
Tallinn University
Center for Educational Technology [email protected]
skype tobias_ley
http://tobiasley.wordpress.com