Abstract
This paper presents an eye-tracking study of notational, informational, and emotional aspects of nine different notational systems (Skill Meters, Smilies, Traffic Lights, Topic Boxes, Collective Histograms, Word Clouds, Textual Descriptors, Table, and Matrix) and three different information states (Weak, Average, & Strong) used to represent student's learning. Findings from the eye-tracking study show that higher emotional activation was observed for the metaphorical notations of traffic lights and smilies and collective representations. Mean view time was higher for representations of the "average" informational learning state. Qualitative data analysis of the think-aloud comments and post-study interview show that student participants reflected on the meaning-making opportunities and action-taking possibilities afforded by the representations. Implications for the design and evaluation of learning analytics representations and discourse environments are discussed.
Original language | English |
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Title of host publication | Proceedings of the Third International Conference on Learning Analytics and Knowledge. LAK '13 |
Editors | Dan Suthers, Katrien Verbert, Erik Duval , Xavier Ochoa |
Place of Publication | New York |
Publisher | Association for Computing Machinery |
Publication date | 2013 |
Pages | 125-134 |
ISBN (Print) | 9781450317856 |
DOIs | |
Publication status | Published - 2013 |
Event | The 3rd International Conference on Learning Analytics and Knowledge - University of Leuven, Leuven, Belgium Duration: 8 Apr 2013 → 12 Apr 2013 Conference number: 3 http://lakconference2013.wordpress.com/ |
Conference
Conference | The 3rd International Conference on Learning Analytics and Knowledge |
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Number | 3 |
Location | University of Leuven |
Country/Territory | Belgium |
City | Leuven |
Period | 08/04/2013 → 12/04/2013 |
Internet address |
Series | ACM International Conference Proceeding Series |
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