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Direct linkChettaoui, Neila; Atia, Ayman; Bouhlel, Med Salim – Education and Information Technologies, 2023
Recent advances in sensor technology, including eye-gaze tracking, have introduced the opportunity to incorporate gaze into student modelling within an embodied learning context. The produced multimodal data is used to uncover cognitive, behavioural, and affective processes during the embodied learning activity. However, the use of eye-tracking…
Descriptors: Elementary School Students, Eye Movements, Academic Achievement, Human Body
Hussein, Mahmood H.; Ow, Siew Hock; Elaish, Monther M.; Jensen, Erik O. – Education and Information Technologies, 2022
The application of mathematical skills is essential to our daily routine and is foundational for numerous disciplines. Among various computer-supported learning methods, Digital Game-Based Learning (DGBL) has been perceived as a promising method in teaching mathematics, promoting students' interest, and motivation. Therefore, the aim of this…
Descriptors: Educational Technology, Technology Uses in Education, Game Based Learning, Mathematics Instruction
Bahreini, Kiavash; Nadolski, Rob; Westera, Wim – Education and Information Technologies, 2016
This paper presents the voice emotion recognition part of the FILTWAM framework for real-time emotion recognition in affective e-learning settings. FILTWAM (Framework for Improving Learning Through Webcams And Microphones) intends to offer timely and appropriate online feedback based upon learner's vocal intonations and facial expressions in order…
Descriptors: Affective Behavior, Emotional Response, Electronic Learning, Recognition (Psychology)
