A New Concept of Data-Driven Education Based on Eduinformatics

会议论文
发表日期：

2024年

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Yasuo Nakata,
Kenya Bannaka,
Ikuhiro Noda,
Katsuhiko Murakami,
Yasuhiro Kozaki,
Kenichiro Mitsunari,
Masato Omori,
Kunihiko Takamatsu

摘要

There are two types of research after human genome sequencing; one is the hypothesis-driven approach and the other is the data-driven approach. This study investigates how do we deal with data-driven education in the big data era? After COVID-19, information and communication technology (ICT) and learning management system (LMS) have constructed big data of students. Eduinformatics (EI) is a new interdisciplinary field being proposed by the authors. We show two practices of data-driven education, which show that EI is the key concept in data-driven education. We suggest a new concept for data-driven education based on EI.