Eye-tracking as a source of information for automatically predicting user learning with MetaTutor, an intelligent tutoring system to support self-regulated learning
Student modeling has been gaining interest among researchers recently. A lot of work has been done on exploring value of interface actions on predicting learning. The focus of this thesis is on using eye-tracking data and action logs for building classifies to infer a student’s learning performance...
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| Language: | English |
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University of British Columbia
2014
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| Online Access: | http://hdl.handle.net/2429/46258 |