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ここではこれまでに執筆した出版物（主に学術論文）を紹介しています。より正確な情報を見たい方は以下のポータルサイトも参考にしてください。

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1. Kuromiya, H., Nakanishi, T., Horikoshi, I., Majumdar, R., & Ogata, H. Supporting Reflective Teaching Workflow Through Learning Analytics with Real-World Data. Information and Technology in Education and Learning. (ITEL). In press.

1. Kuromiya, H., Majumdar, R., Miyabe, G., & Ogata, H. (2022). E-book-based learning activity during COVID-19: engagement behaviors and perceptions of Japanese junior-high school students. Research and Practice in Technology Enhanced Learning. (RPTEL), 17, 12.
2. Ogata H., Majumdar R., Flanagan B., Kuromiya H. (2022) Learning Analytics and Evidence-based K12 Education in Japan: Usage of Data-driven Services and Mobile Learning Across Two Years. International Journal of Mobile Learning and Organisation.
3. Kuromiya, H., Majumdar, R., & Ogata, H. (2020). Fostering Evidence-Based Education with Learning Analytics: Capturing Teaching-Learning Cases from Log Data. Journal of Educational Technology & Society, 23(4), 14–29.
4. Kannan, V., Kuromiya, H., & Gouripeddi, S. P. (2020). Flip & Pair–a strategy to augment a blended course with active-learning components: effects on engagement and learning. Smart Learning Environments.

1. Kuromiya, H., Majumdar, R., & Ogata, H. (2022). Detecting Teachers’ in-Classroom Interactions Using a Deep Learning Based Action Recognition Model. In International Conference on Artificial Intelligence in Education (pp. 379-382). Springer, Cham.
2. Kuromiya, H., Majumdar, R., & Ogata, H. (2021). Mining Students’ Engagement Pattern in Summer Vacation Assignment. In R. M. M. T., S. Iyer, & A. Mitrovic (Eds.), 29th International Conference on Computers in Education Conference Proceedings Volume 1 (pp. 559–568). Asia-Pacific Society for Computers in Education (APSCE).
3. Kuromiya, H., Nakanishi, T., Majumdar, R., & Ogata, H. (2021). Real-time Evidence Analysis Library (REAL): Automatic Aggregation of Learning Analytics-Based Intervention. Companion Proceedings of the 11th International Conference on Learning Analytics and Knowledge (LAK21), 37–39.
4. Kuromiya, H., Majumdar, R., Kondo, T., Nakanishi, T., Takii, K., & Ogata, H. (2020). Impact of school closure during COVID-19 emergency: A time series analysis of learning logs. In H. J. et al So (Ed.), Proceedings of the 28th International Conference on Computers in Education Conference. Asia-Pacific Society for Computers in Education (APSCE).
5. Kuromiya, H. (2021). Automatic Classification of the Learning Pattern - Time-Series Clustering of Students’ Reading Behaviors. Companion Proceedings of the 11th International Learning Analytics and Knowledge Conference LAK20, 250–255.
6. Kuromiya, H., Majumdar, R., Warriem, J., & Ogata, H. (2019). Data-Driven Validation of Pedagogical Model - A Case of Blended LCM Model. 2019 IEEE Tenth International Conference on Technology for Education (T4E), 38–45.
7. Nakanishi, T., Kuromiya, H., Majumdar, R., & Ogata, H. (2021). Data-informed Teaching Reflection: A plot of a learning analytics workflow in Japanese High School. Proceedings of the 28th International Conference Om Computers in Education. 675–677.

Apr. 2021. Research Fellowships for Young Scientists. Japan Society for the Promotion of Science (JSPS). Grant: 1,500,000 JPY.

Dec. 2020. AI Powered Research Innovation Program. Japan Science and Technology Agency (JST). Grant: 3,000,000 JPY.

Dec. 2019. IEEE T4E Student Travel Scholarship. Technology for Education. Awarded: US$ 300.

Jun. 2019. Erik Duval Travel Scholarship, Society of Learning Analytics and Knowledge.