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

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

摘要

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 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.