Nadi Suprapto, Hasan N. Hidaayatullaah, Beken Arymbekov, Septian R. Hakim, Yulkifli
This study investigates 232 preservice physics teachers' attitudes toward using ChatGPT, an artificial intelligence-based conversational agent, in educational settings. With the increasing integration of technology in education, understanding preservice teachers' perceptions of AI-driven tools is crucial for effective implementation. The research employs Partial Least Squares-Structural Equation Modeling (PLS-SEM) to analyze preservice teachers' attitudes, including evaluating and checking, instructional design, multiple information, problem-solving, and time efficiency. The findings provide valuable insights into the validity and reliability of the measurement model and shed light on the structural relationships among the constructs under investigation. These insights have implications for theory and practice in educational research and instructional design. The implications for teacher education programs and the future integration of AI tools in pedagogical practices are also discussed. © 2025 Malque Publishing. All rights reserved.
Universitas Negeri Surabaya, Surabaya, Indonesia; Al-Farabi Kazakh National University, Satbayev University, Kazakhstan; Universitas Negeri Yogyakarta, Sleman, Indonesia; Universitas Negeri Padang, Padang, Indonesia
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