Exploring the correlation between attention and cognitive load of students when attending different classes

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Abstract

Brainwaves are the signals produced by the activities of nerve cells in the human brain. When recorded and shown on scientific instruments, they have the appearance of a wave, thus earning it its name. This study was conducted by wearing a non-invasive head-mounted brainwave detecting instrument to measure the attention level of students when attending different classes. Those results are then combined with the cognitive load scale to explore the correlation between the attention and the cognitive load of each student when attending different classes. According to the study results, a student attending English class will show a higher level of attention than one attending algorithm class. Furthermore, the learner showed lower cognitive load when reviewing previously learned content than when learning for the first time. However, the learner showed higher attention value when learning for the first time than when reviewing previously learned content.

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Cheng, S. C., Cheng, Y. P., Huang, C. H., & Huang, Y. M. (2018). Exploring the correlation between attention and cognitive load of students when attending different classes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11003 LNCS, pp. 205–214). Springer Verlag. https://doi.org/10.1007/978-3-319-99737-7_21

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