Abstract
This paper describes a study that analyzed the synchronization ratio of learners’ teaching material browsing behavior during lessons using a learning management system and online teaching materials. In lessons attended by many learners, teachers often instruct the learners to open the material, and in such cases, it is important that the browsing behavior of as many learners as possible is synchronized. Therefore, data mining technology and time-series cross-section analysis were applied to the learning log, and a method was developed to calculate the synchronization ratio of teaching material browsing and to visualize it in tables and graphs. It is possible to calculate the average synchronization ratio and the average material synchronization ratio for the section of teaching materials and quizzes used during lessons.
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Acknowledgments
This work was supported by JSPS KAKENHI Grant Numbers 18K11588 and 21K12183.
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Dobashi, K., Ho, C.P., Fulford, C.P., Lin, MF.G., Higa, C. (2022). Synchronization Ratio of Time-Series Cross-Section and Teaching Material Clickstream for Visualization of Student Engagement. In: Rodrigo, M.M., Matsuda, N., Cristea, A.I., Dimitrova, V. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. AIED 2022. Lecture Notes in Computer Science, vol 13356. Springer, Cham. https://doi.org/10.1007/978-3-031-11647-6_22
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DOI: https://doi.org/10.1007/978-3-031-11647-6_22
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