Frontiers in Educational Research, 2026, 9(10); doi: 10.25236/FER.2026.091004.
Cuiling Li, Xinxin Lu
School of Artificial Intelligence, Hezhou University, Hezhou, Guangxi, China
In electrical and electronic skills training for ASEAN international students, instructional efficacy is often impeded by language barriers, scarce multilingual resources, and insufficient formative assessment. Addressing these challenges, this study develops an AI enabled pedagogical model structured around the experiential learning cycle. The proposed architecture unites preparatory inquiry, in class scaffolding, and post class practice into a closed loop learning continuum. Relying on a domain specific multilingual corpus and an intelligent conversational agent, the system provides contextualized scaffolding for theoretical modeling and practical circuit debugging. In parallel, an AI driven evaluation mechanism captures both formative engagement logs and final operational outcomes. Empirical trials and questionnaire findings reveal marked improvements in student practical competencies alongside positive user reception, offering adaptable paradigms for cross border engineering curriculum reform.
Electrical and electronic skills training, Multilingual corpus, ASEAN international students, AI assisted instruction
Cuiling Li, Xinxin Lu. AI-Assisted Instructional Reform in Electrical and Electronic Skills Training for ASEAN International Students. Frontiers in Educational Research (2026), Vol. 9, Issue 10: 23-30. https://doi.org/10.25236/FER.2026.091004.
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