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All Journal Formosa Journal of Multidisciplinary Research (FJMR)
Erlita Ariyanti Widiyastuti
Universitas Kristen Indonesia
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Social Sciences

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Enhancing the Effectiveness of Technology-Based Learning with AI Training for Teachers: A Literature Review Andrie Riomalen Yordan Rissi; Balthasar Insantuan; Marlina Evelyn; Erlita Ariyanti Widiyastuti; Mariyanti Nenohai; Bernadetha Nadeak
Formosa Journal of Multidisciplinary Research Vol. 4 No. 4 (2025): April 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjmr.v4i4.157

Abstract

This study aims to explore and analyze the role of artificial intelligence (AI) training in enhancing the effectiveness of technology-based learning for teachers. Using a literature review method, the results show that AI training can improve teachers' digital skills, personalize learning, and foster innovation and development of teaching methods that meet students' needs and technological advancements. The challenges faced include limited infrastructure and budget, lack of pedagogical understanding of AI, resistance to change, and data privacy issues. To address these challenges, increased investment in technology, comprehensive training for teachers, inclusive change approaches, and strict data security policies are needed. Consequently, teachers can design appropriate learning strategies, as well as implement and assess technology-based learning effectively.
Co-Authors Andrie Riomalen Yordan Rissi Balthasar Insantuan Bernadetha Nadeak Mariyanti Nenohai Marlina Evelyn