Date of Award

5-2015

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Legacy Department

Computer Science

Committee Member

Shaundra Bryant Daily, Committee Chair

Committee Member

Kelly Caine

Committee Member

Sekou Remy

Committee Member

Larry F. Hodges

Abstract

Recently, there has been a growing push to explore the potential of non-cognitive factors in helping students reach their fullest potential. Engagement, one predictor of student achievement, is such a factor. Because the conditions under which engagement is elicited may vary, EngageMe, a visualization tool, has been developed to assist instructors’ efforts to understand student engagement in the learning process. The application attempts to enhance traditional observation methods by utilizing electrodermal activity, a measure of physiological arousal, as a proximal indicator of engagement. An iterative, participatory design process was used to create prototypes of the EngageMe interface. The results of this design process, a study focused on the barriers to adoption of this kind of technology, as well as an exploratory case study are discussed. Finally, implications for future development are presented.

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