Abstract
Various factors affect misstep learning, such as the quality and difficulty of the learning contents and the learner’s proficiency level. A system for acquiring the browsing history at the time of learning has been proposed. However, it may be insufficient to refer only to the learner’s browsing time. For example, when the browsing time is short, it can not be determined whether the learning contents were too easy for the learner or whether learning was abandoned because the learning contents were too difficult. Therefore, in this paper, we propose a method of determining the learning state of learners by simultaneously analyzing learning history information and brain wave information, not using history information and brain wave information individually. And we will show that the learning state for each learner will be able to be successfully estimated by our proposed method.
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Acknowledgment
In conducting this experiment, we received much cooperation from Mr. Masakazu Hasegawa of Matsudai High School of Niigata Prefecture. In addition, Mr. Kazuyuki Kido (representative of Waseda Matsudai Cooperation Association) gave us invaluable support such as coordination between the local community and the university and running of lectures. A part of this work was supported by JSPS KAKENHI Grant Number JP16K00491, JP17K01101 and Special account 1010000175806 of NTT Comprehensive agreement Collaborative research of Waseda University Research Institute for Science and Engineering.
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Umezawa, K., Saito, T., Ishida, T., Nakazawa, M., Hirasawa, S. (2018). Learning State Estimation Method by Browsing History and Brain Waves During Programming Language Learning. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 746. Springer, Cham. https://doi.org/10.1007/978-3-319-77712-2_125
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