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Analytics of Reading Patterns Based on Eye Movements in an e-Learning System
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, , , , , Kyushu university, Japan

Society for Information Technology & Teacher Education International Conference, in Las Vegas, NV, United States ISBN 978-1-939797-37-7 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA

Abstract

We investigate relationships between a subject’s impression of difficulty and the reading behaviors of teaching materials based on eye movement data of students learning in an e-learning system. The analyses are important to help revising difficult contents in teaching materials. In this study, we use complex teaching materials containing text, pictures, mathematical expressions, while a previous study in the content difficulty focused on simple teaching materials. We define reading pattern codes to analyze temporal and spatial information of eye movement data using non-negative matrix factorization and compute a backward reading pattern score to compute correlations of the relationships. Our summarization could extract unique reading patterns to understand overall reading behaviors, and we observed correlations between a subject’s impression of difficulty and reading behaviors.

Citation

Minematsu, T., Tamura, K., Shimada, A., Konomi, S. & Taniguchi, R.i. (2019). Analytics of Reading Patterns Based on Eye Movements in an e-Learning System. In K. Graziano (Ed.), Proceedings of Society for Information Technology & Teacher Education International Conference (pp. 1054-1059). Las Vegas, NV, United States: Association for the Advancement of Computing in Education (AACE). Retrieved August 24, 2019 from .

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