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Decoding the Future of Collaborative Education: Gamification, AI, and Family-School Ecosystems as Catalysts for Transformative Learning
- 1 Yangzi Institutes of Life Science, Yushan medical technology, Nanjing, China
* Author to whom correspondence should be addressed.
Abstract
The paper discusses the potential to revolutionise education by integrating gamification, artificial intelligence (AI) and family-school collaboration to drive motivation, engagement and learning among students. Gamification using game-like features such as competition, rewards and challenges generate intrinsic motivation and retention in students. AI devices and wearables support learning via monitoring student growth, engagement and moods. Families and school alliances extend these ripples by establishing a nurturing community between school and home. The study is a mixed-methods study consisting of pre- and post-experiment questionnaires, interviews and focus groups with 300 high school students randomly assigned to experimental and control groups. Quantitative data from regression and ANOVA show the experimental group experiencing a dramatic boost in motivation (+35.3%), interest and academic performance. These findings highlight the importance of gamified and AI-based learning environments with good family-school partnerships. These findings offer concrete suggestions for teachers, parents and policymakers on fostering engaging, supportive and tech-enabled learning environments.
Keywords
gamification, family-school ecosystems, ai, educational technology, transformative learning
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Cite this article
Shan,H. (2025). Decoding the Future of Collaborative Education: Gamification, AI, and Family-School Ecosystems as Catalysts for Transformative Learning. Journal of Education and Educational Policy Studies,3(1),24-28.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Journal：Journal of Education and Educational Policy Studies
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