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

Barbara Kump; Christin Seifert; Guenter Beham; Stefanie Lindstaedt; Tobias Ley

doi:10.1145/2330601.2330640

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

Barbara Kump
, Christin Seifert
, Guenter Beham
, Stefanie Lindstaedt
, Tobias Ley

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

28 Citations (Scopus)

Abstract

User knowledge levels in adaptive learning systems can be assessed based on user interactions that are interpreted as Knowledge Indicating Events (KIE). Such an approach makes complex inferences that may be hard to understand for users, and that are not necessarily accurate. We present MyExperiences, an open learner model designed for showing the users the inferences about them, as well as the underlying data. MyExperiences is one of the first open learner models based on tree maps. It constitutes an example of how research into open learner models and information visualization can be combined in an innovative way.

Original language	English
Title of host publication	LAK '12
Subtitle of host publication	Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Place of Publication	New York, NY
Publisher	ACM Press
Pages	153-157
ISBN (Print)	978-1-4503-1111-3
DOIs	https://doi.org/10.1145/2330601.2330640
Publication status	Published - 2012
Externally published	Yes
Event	2nd International Conference on Learning Analytics and Knowledge, LAK 2012 - Vancouver, Canada Duration: 29 Apr 2012 → 2 May 2012 Conference number: 2

Conference

Conference	2nd International Conference on Learning Analytics and Knowledge, LAK 2012
Abbreviated title	LAK
Country/Territory	Canada
City	Vancouver
Period	29/04/12 → 2/05/12

Keywords

Open learner model
Visual learning analytics
Knowledge indicating events
n/a OA procedure

Access to Document

10.1145/2330601.2330640

Cite this

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title = "Seeing What the System Thinks You Know: Visualizing Evidence in an Open Learner Model",

abstract = "User knowledge levels in adaptive learning systems can be assessed based on user interactions that are interpreted as Knowledge Indicating Events (KIE). Such an approach makes complex inferences that may be hard to understand for users, and that are not necessarily accurate. We present MyExperiences, an open learner model designed for showing the users the inferences about them, as well as the underlying data. MyExperiences is one of the first open learner models based on tree maps. It constitutes an example of how research into open learner models and information visualization can be combined in an innovative way.",

keywords = "Open learner model, Visual learning analytics, Knowledge indicating events, n/a OA procedure",

author = "Barbara Kump and Christin Seifert and Guenter Beham and Stefanie Lindstaedt and Tobias Ley",

year = "2012",

doi = "10.1145/2330601.2330640",

language = "English",

isbn = "978-1-4503-1111-3",

pages = "153--157 ",

booktitle = "LAK '12",

publisher = "ACM Press",

note = "2nd International Conference on Learning Analytics and Knowledge, LAK 2012 , LAK ; Conference date: 29-04-2012 Through 02-05-2012",

}

Kump, B, Seifert, C, Beham, G, Lindstaedt, S & Ley, T 2012, Seeing What the System Thinks You Know: Visualizing Evidence in an Open Learner Model. in LAK '12: Proceedings of the 2nd International Conference on Learning Analytics and Knowledge. ACM Press, New York, NY, pp. 153-157 , 2nd International Conference on Learning Analytics and Knowledge, LAK 2012 , Vancouver, British Columbia, Canada, 29/04/12. https://doi.org/10.1145/2330601.2330640

Seeing What the System Thinks You Know: Visualizing Evidence in an Open Learner Model. / Kump, Barbara; Seifert, Christin; Beham, Guenter et al.
LAK '12: Proceedings of the 2nd International Conference on Learning Analytics and Knowledge. New York, NY: ACM Press, 2012. p. 153-157 .

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Seeing What the System Thinks You Know

T2 - 2nd International Conference on Learning Analytics and Knowledge, LAK 2012

AU - Kump, Barbara

AU - Seifert, Christin

AU - Beham, Guenter

AU - Lindstaedt, Stefanie

AU - Ley, Tobias

N1 - Conference code: 2

PY - 2012

Y1 - 2012

N2 - User knowledge levels in adaptive learning systems can be assessed based on user interactions that are interpreted as Knowledge Indicating Events (KIE). Such an approach makes complex inferences that may be hard to understand for users, and that are not necessarily accurate. We present MyExperiences, an open learner model designed for showing the users the inferences about them, as well as the underlying data. MyExperiences is one of the first open learner models based on tree maps. It constitutes an example of how research into open learner models and information visualization can be combined in an innovative way.

AB - User knowledge levels in adaptive learning systems can be assessed based on user interactions that are interpreted as Knowledge Indicating Events (KIE). Such an approach makes complex inferences that may be hard to understand for users, and that are not necessarily accurate. We present MyExperiences, an open learner model designed for showing the users the inferences about them, as well as the underlying data. MyExperiences is one of the first open learner models based on tree maps. It constitutes an example of how research into open learner models and information visualization can be combined in an innovative way.

KW - Open learner model

KW - Visual learning analytics

KW - Knowledge indicating events

KW - n/a OA procedure

U2 - 10.1145/2330601.2330640

DO - 10.1145/2330601.2330640

M3 - Conference contribution

SN - 978-1-4503-1111-3

SP - 153

EP - 157

BT - LAK '12

PB - ACM Press

CY - New York, NY

Y2 - 29 April 2012 through 2 May 2012

ER -

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

Abstract

Conference

Keywords

Access to Document

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Cite this