Pre-Service Teachers' Behavioral Intention for AI-Integrated Instruction: A Path Analysis of the Theory of Motivation-Opportunity-Ability (MOA)
2023 5th International Conference on Computer Science and Technologies in Education (CSTE)(2023)
摘要
The advancement of artificial intelligence has presented teachers with unprecedented changes in their teaching practice, necessitating teachers proactively adapt to AI and be prepared to conduct AI-integrated instruction. Therefore, based on MOA (motivation-opportunity-ability) theory, this study investigated pre-service teachers' self-reported intention for AI-integrated instruction. For the direct effect, we confirmed that both intrinsic and extrinsic motivation positively influenced preservice teachers' behavioral intention for AI-integrated instruction. Also, we found motivation (intrinsic and extrinsic motivation) mediated the relation of facilitating conditions and perceived self-efficacy. The proposed framework will offer an approach for educators to design effective teacher-training curriculums based on the related factors of the behavioral intention for AI-integrated instruction.
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关键词
artificial intelligence integrated instruction,behavioral intention,pre-service teachers,motivation-opportunity-ability theory
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