Co-designing Data-Driven Educational Technology and Practice: Reflections from the Japanese Context

Author:

Ogata Hiroaki,Liang ChanghaoORCID,Toyokawa Yuko,Hsu Chia-Yu,Nakamura Kohei,Yamauchi Taisei,Flanagan Brendan,Dai Yiling,Takami Kyosuke,Horikoshi Izumi,Majumdar Rwitajit

Abstract

AbstractThis 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 participating. Co-design, characterized by involving various stakeholders, is instrumental in addressing the evolving needs of technology deployment. Japan's educational context aligns with co-design implementation, with a learning and evidence analytics infrastructure facilitating data collection and analysis. From the Japanese co-design practice of educational technologies, the paper highlights a 6-phase co-design framework: motivate, pilot, implement, refine, evaluate, and maintain. The practices focus on data-driven learning strategies, technology interventions, and across-context dashboards, covering assorted learning contexts in Japan. By advocating for a co-design culture and data-driven approaches to enhance education in Japan, we offer insights for education practitioners, policymakers, researchers, and industry developers.

Funder

New Energy and Industrial Technology Development Organization

Japan Society for the Promotion of Science

Publisher

Springer Science and Business Media LLC

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