THE EFFECTIVENESS OF AI-INTEGRATED GAME-BASED LEARNING MODELS IN ENHANCING STUDENT MOTIVATION

AI educational technology personalized learning

Authors

  • Inayah Inayah
    inayah.pjjpai@gmail.com
    Universitas Islam Negeri Siber Syekh Nurjati Cirebon, Indonesia
  • Syafiq Amir Universiti Kebangsaan, Malaysia, Malaysia
  • Rafaela Lima Universidade Federal Paraná, Brazil, Brazil
  • Ethan Tan National University of Singapore (NUS), Singapore, Singapore
December 11, 2025
June 1, 2025

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The effectiveness of AI-integrated game-based learning models in enhancing student motivation has been a subject of increasing interest in educational research. This study explores how AI-powered gaming techniques can foster student engagement, particularly in environments where traditional learning models face challenges in maintaining motivation. The research aims to evaluate the impact of AI-based educational games on students' intrinsic and extrinsic motivation, focusing on their interaction with learning content and overall academic performance. The study employed a mixed-methods approach, combining quantitative surveys and qualitative interviews to gather data from secondary school students engaged in AI-integrated game-based learning modules. The results indicated a significant increase in student motivation, both in terms of participation and sustained interest in learning activities, with AI tools providing personalized feedback and adaptive learning experiences. Students reported feeling more engaged, with a greater sense of accomplishment and autonomy in their learning. The study concludes that AI-based game-learning models can effectively enhance student motivation, providing valuable insights into the potential for gamification in modern education. These findings suggest that educational systems should consider integrating AI-driven game-based models to support motivational development in students.

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