Humanism Enhancing Student Motivation in History Learning Through AI-Driven e-Cooperative and e-Collaborative Methods in Rural Education

Lee Bih Ni; Connie  Shin

doi:10.47175/rielsj.v6i1.1132

Lee Bih Ni Assistant Faculty of Education and Sports Studies, University Malaysia Sabah, Malaysia
Connie Shin Assistant Faculty of Education and Sports Studies, University Malaysia Sabah, Malaysia

DOI: https://doi.org/10.47175/rielsj.v6i1.1132

Keywords: AI-driven learning, e-cooperative education, e-collaborative methods, rural history education

Abstract

This research explores the influence of AI-based e-cooperative and e-collaborative approaches on boosting student motivation in history education in rural areas. Through the integration of primary data obtained from student surveys and teacher interviews, quantitative indicators of academic achievement, and qualitative insights from case studies, the study emphasizes how AI-driven platforms customize learning experiences, encourage peer collaboration, and enhance engagement. Results show that collaboration enhanced by AI boosts participation levels, enhances historical awareness, and fosters a sense of togetherness among students in distant regions. The research highlights the ability of AI to revolutionize history education by enhancing interactivity, accessibility, and engagement for students in disadvantaged rural areas.

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