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The Impact of Integrating AI Chatbots and Microlearning into Flipped Classrooms: Enhancing Students’ Motivation and Higher-Order Thinking Skills

  • Lusia Maryani Silitonga,
  • Wiyaka,
  • Sri Suciati,
  • Entika Fani Prastikawati

摘要

This study investigates the impact of integrating AI chatbots and microlearning into the flipped classroom model on student motivation and higher-order thinking skills (HOTS) such as creativity, critical thinking, and problem-solving. Conducted through a quasi-experimental pretest-posttest design, the research involved students enrolled in an Academic Writing course, comparing outcomes between a treatment group, which utilized AI chatbot-supported flipped-microlearning, and a control group engaged in traditional flipped learning methods. The findings reveal that the integration of AI chatbots and microlearning significantly enhances student motivation and HOTS. Specifically, the treatment group demonstrated notably higher post-test scores in motivation, creativity, critical thinking, and problem-solving compared to the control group. These results underscore the potential of combining AI chatbots and microlearning with flipped classroom methodologies to foster a more engaging, personalized, and effective learning environment, thereby enhancing both motivation and the development of higher-order thinking skills.