惊喜
可穿戴计算机
学生参与度
钥匙(锁)
计算机科学
可穿戴技术
阅读(过程)
心理学
教育学
计算机安全
社会心理学
嵌入式系统
法学
政治学
作者
Maritza Bustos-López,Nicandro Cruz-Ramírez,Alejandro Guerra‐Hernández,Laura Nely Sánchez-Morales,Nancy Aracely Cruz-Ramos,Giner Alor‐Hernández
出处
期刊:Biosensors
[Multidisciplinary Digital Publishing Institute]
日期:2022-07-11
卷期号:12 (7): 509-509
被引量:51
摘要
Appropriate teaching–learning strategies lead to student engagement during learning activities. Scientific progress and modern technology have made it possible to measure engagement in educational settings by reading and analyzing student physiological signals through sensors attached to wearables. This work is a review of current student engagement detection initiatives in the educational domain. The review highlights existing commercial and non-commercial wearables for student engagement monitoring and identifies key physiological signals involved in engagement detection. Our findings reveal that common physiological signals used to measure student engagement include heart rate, skin temperature, respiratory rate, oxygen saturation, blood pressure, and electrocardiogram (ECG) data. Similarly, stress and surprise are key features of student engagement.
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