Outputs (3)

Semi-automatic Construction of Ontology Based on Data Mining Technique (2017)
Conference Proceeding
Wang, J., Flanagan, B., & Ogata, H. (2017). Semi-automatic Construction of Ontology Based on Data Mining Technique. . https://doi.org/10.1109/iiai-aai.2017.202

In this paper, we present a method to extract the possible relationships between knowledge points by analyzing e-book log and mining quiz data and mining Wikipedia articles. This method will be implemented in an ontology-based visualization support s... Read More about Semi-automatic Construction of Ontology Based on Data Mining Technique.

A meaningful discovery learning environment for e-book learners (2017)
Conference Proceeding
Wang, J., Ogata, H., & Shimada, A. (2017). A meaningful discovery learning environment for e-book learners. . https://doi.org/10.1109/educon.2017.7942995

In this paper, we present a system framework making use of e-book logs for visualization learning support systems intended to provide meaningful learning environment for e-book learners. An ontology-based visualization support system, which supports... Read More about A meaningful discovery learning environment for e-book learners.

Learning Analytics for E-Book-Based Educational Big Data in Higher Education (2017)
Book Chapter
Ogata, H., Oi, M., Mohri, K., Okubo, F., Shimada, A., Yamada, M., …Hirokawa, S. (2017). Learning Analytics for E-Book-Based Educational Big Data in Higher Education. In H. Yasuura, C. Kyung, Y. Liu, & Y. Lin (Eds.), Smart Sensors at the IoT Frontier (327-350). Springer Verlag. https://doi.org/10.1007/978-3-319-55345-0_13

This study provides an overview of the educational big data research project at Kyushu University, Japan. This project uses an e-book system called BookLooper, which allows students to browse e-books on web browsers, PCs (personal computers), and mob... Read More about Learning Analytics for E-Book-Based Educational Big Data in Higher Education.