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Professional Development of STEM Teachers Using the DECODE Model in India and Taiwan

  • P. S. Sreedevi*
  • , P. Rajasekaran
  • , Chun Yen Chang
  • , Marison Sudianto Manalu
  • *此作品的通信作者

研究成果: 書貢獻/報告類型 › 會議論文篇章

摘要

This study will explore the impact of the DECODE model for STEM teacher professional development, drawing on empirical evidence from a year-long India–Taiwan collaborative project. The DECODE framework integrates structured teacher learning cycles where Demonstration (DE) provides model practices, Co-training/Co-design (CO) engages teachers collaboratively in lesson design and peer learning, and Debriefing (DE) offers reflection and feedback for continuous improvement. Together, these components integrate technology, pedagogy, and content knowledge to prepare teachers for rapidly evolving educational contexts, particularly in AI-supported scientific inquiry and technology integration. Workshops conducted with pre-service and in-service teachers in India, alongside field visits and collaborative research in Taiwan, revealed significant improvements in teachers’ competencies, confidence, and ability to integrate innovative tools such as CloudClassRoom (CCR) and AI platforms into STEM curricula. The research findings compare professional development models from India and Taiwan, and present strategies for designing adaptable, cross-cultural training programs. The study recommendations for policymakers, educators, and researchers interested in scaling hybrid teacher training models for global STEM education needs.

原文英語
主出版物標題Proceedings of the 33rd International Conference on Computers in Education, ICCE 2025
編輯Maria Mercedes T. RODRIGO, Bo JIANG, Yanjie SONG, Jayakrishnan WARRIEM
發行者Asia-Pacific Society for Computers in Education
卷4
ISBN(列印)9786269689064
出版狀態已發佈 - 2025
事件33rd International Conference on Computers in Education, ICCE 2025 - Chennai, 印度
持續時間: 2025 12月 1 → 2025 12月 5

會議

會議33rd International Conference on Computers in Education, ICCE 2025
國家/地區印度
城市Chennai
期間2025/12/01 → 2025/12/05

ASJC Scopus subject areas

  • 教育
  • 電腦科學應用
  • 人工智慧

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