Research on Intelligent Question-Answering Assistant for New Energy Vehicles Based on Heuristic Interaction

Against the backdrop of artificial intelligence, students majoring in new energy vehicle technology at higher vocational colleges often rely on AI tools due to insufficient problem-solving abilities, which easily leads to dependency addiction and mental inertia. Moreover, existing AI tools lack emotional interaction and guidance on professional literacy, making them unable to meet the needs of education. To address this, an intelligent question-answering assistant for this major is constructed. It innovatively adopts heuristic interaction simulating teacher-student communication to stimulate independent exploration, integrates emotional recognition and feedback mechanisms, and incorporates professional spirit and ideological-political elements to realize whole-process education. Verified through analysis of its design ideas, effect comparisons, and simulated teaching cases, it can effectively improve students' problem-solving abilities and cultivate their professional literacy, providing a new paradigm for the deep integration of vocational education and artificial intelligence.

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Publication Details

Journal
Journal of Education and Educational Research
Published
2025-08-29
DOI
https://doi.org/10.54097/bqbnr361
Primary Topic
Educational Technology and Assessment
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on Intelligent Question-Answering Assistant for New Energy Vehicles Based on Heuristic Interaction

Wen Pan, Xingxing ShangGuan, Tianrui Pan
Journal of Education and Educational Research
Educational Technology and Assessment
article

Research on Intelligent Question-Answering Assistant for New Energy Vehicles Based on Heuristic Interaction

Wen Pan, Xingxing ShangGuan, Tianrui Pan
article en

Abstract

Against the backdrop of artificial intelligence, students majoring in new energy vehicle technology at higher vocational colleges often rely on AI tools due to insufficient problem-solving abilities, which easily leads to dependency addiction and mental inertia. Moreover, existing AI tools lack emotional interaction and guidance on professional literacy, making them unable to meet the needs of education. To address this, an intelligent question-answering assistant for this major is constructed. It innovatively adopts heuristic interaction simulating teacher-student communication to stimulate independent exploration, integrates emotional recognition and feedback mechanisms, and incorporates professional spirit and ideological-political elements to realize whole-process education. Verified through analysis of its design ideas, effect comparisons, and simulated teaching cases, it can effectively improve students' problem-solving abilities and cultivate their professional literacy, providing a new paradigm for the deep integration of vocational education and artificial intelligence.

Journal of Education and Educational ResearchVol. 14(2)
Wenzhou Polytechnic (CN)
Openalex Percentile: Top 66%
Educational Technology and Assessment
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