AI-Driven Mastery : Optimalisasi Pembelajaran Adaptif di Era Kurikulum Merdeka

Authors

  • Nailah Ummil Khoir Universitas Islam Ibrahimy Banyuwangi
  • Moh Toha Universitas Islam Ibrahimy Banyuwangi
  • Hamam Universitas Islam Ibrahimy Banyuwangi

Abstract

This study aims to explore and measure the effectiveness of AI-Driven Mastery Learning in optimizing adaptive learning for Islamic Religious Education (PAI) in the Merdeka  Curriculum  era.  Amidst  the  challenges  of  the  traditional  "one-size-fits-all" learning approach, Artificial Intelligence (AI) technology offers a solution through systems capable of personally tailoring materials and evaluations based on student needs. This research employs a Mixed Methods Research approach with a sequential explanatory design. Quantitative data were collected through learning outcome tests and perception/motivation questionnaires, while qualitative data were obtained through interviews, observations, and documentation. Instrument test results showed high validity and strong reliability, with a Cronbach’s Alpha value of 0.847 for learning outcome tests and above 0.80 for the motivation questionnaire. Research findings indicate that the integration of AI in PAI not only enhances the mastery of cognitive competencies but also increases  student  learning  motivation  through  real-time  feedback.  Although  AI plays  a significant role as an adaptive assistant, the teacher's role remains essential as a moral and spiritual role model that cannot be replaced by technology.

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Published

2026-05-23

How to Cite

Nailah Ummil Khoir, Moh Toha, & Hamam. (2026). AI-Driven Mastery : Optimalisasi Pembelajaran Adaptif di Era Kurikulum Merdeka. International Conference on Humanity Education and Society (ICHES), 5(1). Retrieved from https://proceedingsiches.com/index.php/ojs/article/view/465