Kurniawan, W., Sutrisno, Maison, Marzal, J., & Anwar, K. (2025). Construction of an intelligent teacher assistant system using the TPACK framework and machine learning to diagnose work and energy misconceptions. International Journal of Information and Education Technology, 15(5), 1084–1096. https://doi.org/10.18178/ijiet.2025.15.5.2312

Abstract:

“This study presents the construction of an Intelligent Teacher Assistant System (ITAS) grounded in the Technological Pedagogical Content Knowledge (TPACK) framework and machine learning for the real-time diagnosis of student misconceptions in work and energy. The TPACK framework structured the system by integrating technological knowledge (TK), pedagogical knowledge (PK), and content knowledge (CK) to produce adaptive instructional feedback. The system was developed and tested with 150 students and 30 teachers at Universitas Jambi, Indonesia. Results showed reliability of 93.02% and usability of 94.44%, with a 75% improvement in students’ conceptual understanding of work and energy following ITAS-mediated instruction. Findings indicate that TPACK-based intelligent systems can significantly improve diagnosis and remediation of physics misconceptions in secondary and tertiary contexts.”