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DOI

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.

Publikationsoplysninger

OriginalsprogEngelsk
TitelProceedings of the Third International Conference on Learning Analytics and Knowledge. LAK '13
RedaktørerDan Suthers, Katrien Verbert, Erik Duval , Xavier Ochoa
Udgivelses stedNew York
UdgiverAssociation for Computing Machinery
Publikationsdato2013
Sider125-134
ISBN (trykt)9781450317856
DOI
StatusUdgivet - 2013
BegivenhedThe 3rd International Conference on Learning Analytics and Knowledge - Leuven, Belgien

Konference

KonferenceThe 3rd International Conference on Learning Analytics and Knowledge
Nummer3
LokationUniversity of Leuven
LandBelgien
ByLeuven
Periode08/04/201312/04/2013
Internetadresse
SerieACM International Conference Proceeding Series

ID: 38382430