Abstract
The levels of student engagement refers to the degree to which students are immersed in learning when they are being taught in class. This paper deals with an ambient intelligence algorithm for a smart classroom; the algorithm provides information to the teacher by measuring the level of student engagement in real time. In this study, the algorithm for assessing student engagement levels has been presented; it evaluates the psychological states of students by measuring a thermal infrared image. The algorithm proposed in this study is innovative because it allows teachers to provide feedback to students while monitoring their students in real time. This study will provide the basis for applying the Internet of Things to the teaching and learning fields. Specifically, the measurement model for representing the student engagement level by using thermal infrared imaging is presented. The color of the teacher’s mobile phone application changes (like the traffic lights) in real time according to the immersion levels of the students in class.
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This work was supported by the Incheon National University Research Grant in 2017.
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Kim, P.W. Ambient intelligence in a smart classroom for assessing students’ engagement levels. J Ambient Intell Human Comput 10, 3847–3852 (2019). https://doi.org/10.1007/s12652-018-1077-8
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DOI: https://doi.org/10.1007/s12652-018-1077-8