Abstract
For most people, it takes a lot of time to acquire mathematical skills. Mathematical problems are complex because they consist of many steps. Therefore, it is not easy to grasp the learners' performance. It is ideal to know the level of learners in a reasonably short time. In this experiment, we aimed to grasp the learners' performance from short time solving time estimation for the mathematical problems. Participants performed the task of estimating the solving time of mathematical problems. Time frequency analysis was conducted from Electroencephalogram (EEG) recordings. As a result, people with well mathematical performance had higher theta activity than those with poor performance. In conclusion, the present research suggests that brain activity measurement during solving time estimation can be effective in grasping the learners' level in a short time.
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Suzuki, K., Yazawa, S., Matsunaka, R., Iwasawa, T., & Hiraki, K. (2020). Rapidly grasping learners’ mathematical performance from brain activity. In Proceedings of the 14th IADIS International Conference Interfaces and Human Computer Interaction 2020, IHCI 2020 and Proceedings of the 13th IADIS International Conference Game and Entertainment Technologies 2020, GET 2020 - Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020 (pp. 231–233). IADIS. https://doi.org/10.33965/ihci_get2020_202010p032
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