Emerging opportunities for education in the time of COVID-19: Adaptive e-learning intelligent agent based on assessment of emotion and attention (CROSBI ID 695695)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Horvat, Marko ; Jagušt, Tomislav
engleski
Emerging opportunities for education in the time of COVID-19: Adaptive e-learning intelligent agent based on assessment of emotion and attention
The COVID-19 pandemic is a disastrous and rapidly evolving situation. It brings changes to many aspects of life, including teaching. A very important area for improvement of e- learning pedagogies is the ability to assess student engagement and the learning curve objectively and continuously. To this regard, we propose a novel procedure for personalized and adaptive assessment of learning performance based on methods for automated estimation of affective states. In this preliminary report we envision an intelligent agent which constantly monitors students’ behaviour parameters during online learning classes. Using unobtrusive video surveillance and machine learning the agent appraises key psychophysiological features related to emotion and attention.
digital learning ; adaptive learning ; technology enhanced learning ; intelligent algorithms ; emotion recognition
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Podaci o prilogu
203-210.
2020.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of 31st Central European Conference on Information and Intelligent Systems (CECIIS 2020)
Strahonja, Vjeran ; Kirinić, Valentina
Varaždin: Fakultet organizacije i informatike Sveučilišta u Zagrebu
Podaci o skupu
31st Central European Conference on Information and Intelligent Systems (CECIIS 2020)
predavanje
07.10.2020-09.10.2020
Varaždin, Hrvatska