Selvaraj, Jerritta and Sahayadhas, Arun (2022) An Emotion-Aware E-Learning System Based on Psychophysiology:. In: Principles and Applications of Socio-Cognitive and Affective Computing. Information Resources Management Association, pp. 27-42.
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Jerritta Selvaraj Vels Institute of Science, Technology, and Advanced Studies, India Arun Sahayadhas Vels Institute of Science, Technology, and Advanced Studies, India An Emotion-Aware E-Learning System Based on Psychophysiology
Computer-based learning and training has increased over the past few decades and has become the norm of today. This allows students to learn from the comfort of their home at their convenient time and pace. The learning materials can be accessed at any time and from anywhere making it easier for students. Recent studies indicate that negative emotions such as anger, frustration, confusion, and boredom inhibit the learning process and positive emotions such as excitement and enthusiasm support the learning process. Many students complain of boredom and similar negative emotions, which deteriorate the rate of learning. This research tries to integrate the emotion recognition system to help students during the learning process. Appropriate coping mechanisms can be integrated into the e-learning system to keep the students engaged and alert in the process. Emotions can be identified using wearable sensors and appropriate learning activity or breaks or physical activity can be given to students based on the emotion experienced by the students.
chapter 3 2022 9 30 27 42 10.4018/978-1-6684-3843-5.ch003 20221114075325 https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-3843-5.ch003 https://www.igi-global.com/viewtitle.aspx?TitleId=314311 10.1016/j.ssaho.2020.100030 Bunluechokchai, C., & Leeudomwong, T. (2010). Discrete Wavelet Transform -based Baseline Wandering Removal for High Resolution Electrocardiogram. Int J Applied Biomed Eng, 3. 10.14445/22312803/IJCTT-V49P117 10.1007/s10639-020-10362-6 10.1007/978-3-540-24842-2_4 10.1057/s41304-020-00282-x 10.1007/s12186-019-09226-z 10.1016/j.jnca.2019.102423 10.1109/CSPA.2011.5759912 10.30935/ejimed/8403 10.3390/electronics9081194 10.1109/34.954607 10.1186/1475-925X-12-44 Shah, D. (2020). By The Numbers: MOOCs in 2020. The Report by Class Central. https://www.classcentral.com/report/mooc-stats-2020/ Affective e-Learning: Using “emotional” data to improve learning in pervasive learning environment related work and the pervasive e-learning platform. L.Shen 2009 176 Journal of Educational Technology & Society ShenL.WangM.ShenR. (2009). Affective e-Learning: Using “emotional” data to improve learning in pervasive learning environment related work and the pervasive e-learning platform.Journal of Educational Technology & Society, 12, 176–189. 12 10.3389/feduc.2019.00109 10.3389/fpsyg.2017.01454
Item Type: | Book Section |
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Subjects: | Computer Science Engineering > Database |
Divisions: | Computer Science Engineering |
Depositing User: | Mr IR Admin |
Date Deposited: | 13 Sep 2024 07:25 |
Last Modified: | 13 Sep 2024 07:25 |
URI: | https://ir.vistas.ac.in/id/eprint/5810 |