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Hiroaki Ogata; Changhao Liang; Yuko Toyokawa; Chia-Yu Hsu; Kohei Nakamura; Taisei Yamauchi; Brendan Flanagan; Yiling Dai; Kyosuke Takami; Izumi Horikoshi; Rwitajit Majumdar – Technology, Knowledge and Learning, 2024
This paper explores co-design in Japanese education for deploying data-driven educational technology and practice. Although there is a growing emphasis on data to inform educational decision-making and personalize learning experiences, challenges such as data interoperability and inconsistency with teaching goals prevent practitioners from…
Descriptors: Educational Technology, Instructional Design, Cooperation, Data Use
Ola Erstad; Miroslava Cernochová; Gerald Knezek; Takahisa Furuta; Kyosuke Takami; Changhao Liang – Technology, Knowledge and Learning, 2024
This article brings together literature and perspectives that have evolved during the last decade on issues of social and emotional aspects of learning in a digital age. This topic points to some core challenges and worries of contemporary social developments within digitalized societies, and ways of perceiving future developments of how we…
Descriptors: Emotional Development, Social Development, Technology Uses in Education, Barriers
Changhao Liang; Izumi Horikoshi; Rwitajit Majumdar; Brendan Flanagan; Hiroaki Ogata – Educational Technology & Society, 2023
Data-driven platforms with rich data and learning analytics applications provide immense opportunities to support collaborative learning such as algorithmic group formation systems based on learning logs. However, teachers can still get overwhelmed since they have to manually set the parameters to create groups and it takes time to understand the…
Descriptors: Automation, Grouping (Instructional Purposes), Groups, Student Characteristics