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Fountoukidou, Sofia; Matzat, Uwe; Ham, Jaap; Midden, Cees – Journal of Computer Assisted Learning, 2022
Background: Though pedagogical artificial agents are expected to play a crucial role in the years to come, earlier studies provide inconsistent results regarding their effect on learning. This might be because their potential for exhibiting subtle nonverbal behaviours we know from human teachers has been untapped. What is more, there is little…
Descriptors: Artificial Intelligence, Assistive Technology, Technology Uses in Education, Nonverbal Communication
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