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Wang, Hongyan; Pi, Zhongling; Hu, Weiping – Journal of Computer Assisted Learning, 2019
Instructor behaviour is known to affect learning performance, but it is unclear which specific instructor behaviours can optimize learning. We used eye-tracking technology and questionnaires to test whether the instructor's gaze guidance affected learners' visual attention, social presence, and learning performance, using four video lectures:…
Descriptors: Video Technology, Lecture Method, Nonverbal Communication, Eye Movements
Huang, Y-M.; Liu, C-J.; Shadiev, Rustam; Shen, M-H.; Hwang, W-Y. – Journal of Computer Assisted Learning, 2015
One major drawback of previous research on speech-to-text recognition (STR) is that most findings showing the effectiveness of STR for learning were based upon subjective evidence. Very few studies have used eye-tracking techniques to investigate visual attention of students on STR-generated text. Furthermore, not much attention was paid to…
Descriptors: Eye Movements, Assistive Technology, Visual Perception, Visual Stimuli

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