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Direct linkBahreini, Kiavash; Nadolski, Rob; Westera, Wim – Interactive Learning Environments, 2016
This paper presents a framework (FILTWAM (Framework for Improving Learning Through Webcams And Microphones)) for real-time emotion recognition in e-learning by using webcams. FILTWAM offers timely and relevant feedback based upon learner's facial expressions and verbalizations. FILTWAM's facial expression software module has been developed and…
Descriptors: Educational Technology, Emotional Response, Computer Mediated Communication, Nonverbal Communication
Katz, Arnoud; Westera, Wim – International Journal of Self-Directed Learning, 2019
This study investigated how student autonomy in physical education can be enhanced without producing adverse effects. A sample of 150 students from Dutch preparatory vocational education was divided into four groups subjected to different levels of autonomy during a physical education lesson. The autonomy conditions varied from teacher-led lessons…
Descriptors: Personal Autonomy, Motor Development, Physical Education, Foreign Countries
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)
