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Thao Pham; Wu-Yuin Hwang; Xuan-Lam Pham – Journal of Computer Assisted Learning, 2024
Background: Examining student attention in physical classrooms is crucial, but it faces challenges due to the lack of accurate monitoring. Constraints posed by device limitations and the design of educational materials impede the integration of eye-tracking technology in these settings. Objectives: This study aims to (1) develop a wearable…
Descriptors: Attention, Eye Movements, Physical Environment, Classroom Environment
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Liu, Ran; Stamper, John; Davenport, Jodi; Crossley, Scott; McNamara, Danielle; Nzinga, Kalonji; Sherin, Bruce – Journal of Computer Assisted Learning, 2019
Increasingly, student work is being conducted on computers and online, producing vast amounts of learning-related data. The educational analytics fields have produced many insights about learning based solely on tutoring systems' automatically logged data, or "log data." But log data leave out important contextual information about the…
Descriptors: Data Analysis, Learning Experience, Context Effect, Recordkeeping