Pilot study to estimate “difficult” area in e-learning material by physiological measurements

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

To improve designs of e-learning materials, it is necessary to know which word or figure a learner felt "difficult" in the materials. In this pilot study, we measured electroencephalography (EEG) and eye gaze data of learners and analyzed to estimate which area they had difficulty to learn. The developed system realized simultaneous measurements of physiological data and subjective evaluations during learning. Using this system, we observed specific EEG activity in difficult pages. Integrating of eye gaze and EEG measurements raised a possibility to determine where a learner felt “difficult” in a page of learning materials. From these results, we could suggest that the multimodal measurements of EEG and eye gaze would lead to effective improvement of learning materials. For future study, more data collection using various materials and learners with different backgrounds is necessary. This study could lead to establishing a method to improve e-learning materials based on learners' mental states.

Original languageEnglish
Title of host publicationProceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450368049
DOIs
Publication statusPublished - Jun 24 2019
Event6th ACM Conference on Learning at Scale, L@S 2019 - Chicago, United States
Duration: Jun 24 2019Jun 25 2019

Publication series

NameProceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019

Conference

Conference6th ACM Conference on Learning at Scale, L@S 2019
CountryUnited States
CityChicago
Period6/24/196/25/19

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Computer Networks and Communications
  • Education

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  • Cite this

    Tamura, K., Okamoto, T., Oi, M., Shimada, A., Hatano, K., Yamada, M., Lu, M., & Konomi, S. (2019). Pilot study to estimate “difficult” area in e-learning material by physiological measurements. In Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019 (Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019). Association for Computing Machinery, Inc. https://doi.org/10.1145/3330430.3333648