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Download full textHutt, Stephen; Grafsgaard, Joseph F.; D'Mello, Sidney K. – Grantee Submission, 2019
We developed generalizable affect detectors using 133,966 instances of 18 affective states collected from 69,174 students who interacted with an online math learning platform called Algebra Nation over the entire school year. To enable scalability and generalizability, we used generic interaction features (e.g., viewing a video, taking a quiz),…
Descriptors: Affective Behavior, Online Courses, Educational Technology, Technology Uses in Education
Direct linkRosenblum, L. Penny; Zebehazy, Kim T.; Gage, Nicholas; Beal, Carole R. – Grantee Submission, 2021
Introduction: Participants' perspectives are valuable in evaluating the effectiveness of an intervention. Methods: Interviews were conducted with teachers of students with visual impairments and students who completed an intervention designed to build graphics literacy skills. Results: Six themes were identified with corresponding subthemes. The…
Descriptors: Intervention, Visual Impairments, Teacher Attitudes, Teaching Methods
Council, Morris R, III.; Cartledge, Gwendolyn; Green, DeLayna; Barber, Mariah; Ralph, Gardner, III. – Grantee Submission, 2016
This descriptive study examined whether a computer-based, repeated reading intervention (i.e., Reading Relevant and Culturally Engaging Stories) is associated with improved reading and social behavior for three primary-aged urban black girls who each showed both academic and behavioral risk. The Reading Relevant and Culturally Engaging Stories…
Descriptors: Observation, Educational Technology, Student Attitudes, Questionnaires
