Vol. 4 No. 3 (2017): It's About Time: Temporal Analyses of Learning Data (Part 1)

View Vol. 4 No. 3 (2017): It's About Time: Temporal Analyses of Learning Data (Part 1)

Published: 2017-12-03

Editorial

Towards a Convergent Development of Learning Analytics

Xavier Ochoa, Arnon Hershkovitz, Alyssa Wise, Simon Knight

1–6
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Time for Change: Why Learning Analytics Needs Temporal Analysis

Simon Knight, Alyssa Friend Wise, Bodong Chen

7–17
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Special Section: It's About Time: Temporal Analysis of Learning Data Part 1

A Measurement Model of Gestures in an Embodied Learning Environment: Accounting for Temporal Dependencies

Alejandro Andrade, Joshua A. Danish, Adam V. Maltese

18–46
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Talk with Me: Student Pronoun Use as an Indicator of Discourse Health

Carrie Demmans Epp, Krystle Phirangee, Jim Hewitt

47–75
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Promising Ideas for Collective Advancement of Communal Knowledge Using Temporal Analytics and Cluster Analysis

Alwyn Vwen Yen Lee, Seng Chee Tan

76–101
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Gaining Insight by Transforming Between Temporal Representations of Human Interaction

Kristine Lund, Mattieu Quignard, David Williamson Shaffer

102–122
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In Search of Conversational Grain Size: Modeling Semantic Structure using Moving Stanza Windows

Amanda Lee Siebert-Evenstone, Golnaz Arastoopour Irgens, Wesley Collier, Zachari Swiecki, Andrew R Ruis, David Williamson Shaffer

123–139
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Research Papers

An Application of Extreme Value Theory to Learning Analytics: Predicting Collaboration Outcome from Eye-tracking Data

Kshitij Sharma, Valérie Chavez-Demoulin, Pierre Dillenbourg

140–164
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