Seeing What the System Thinks You Know - Visualizing Evidence in an Open Learner Model

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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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www.aposdle.org Lindstaedt et al. (2008)

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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 tley@tlu.ee

skype tobias_ley

http://tobiasley.wordpress.com