A Study on the Innovation of Computer Education and Teaching Models in the Context of Artificial Intelligence
Abstract
assessment approaches, and teacher–student interaction. Through technologies such as generative AI, intelligent tutoring systems, adaptive
learning platforms, and automated programming feedback, AI creates new opportunities for personalized learning, project-based instruction,
intelligent assessment, and human–machine collaborative programming. However, it also raises concerns about academic integrity, overreliance on AI tools, algorithmic bias, data privacy, and the decline of independent computational thinking. This paper proposes an innovative
teaching model based on AI-enhanced curriculum reconstruction, learner-centered pedagogy, process-oriented assessment, and ethical governance. It argues that computer education should move beyond simply adopting AI tools and instead redesign learning objectives, teaching
strategies, assessment systems, and teacher competencies to cultivate students' creativity, problem-solving ability, and responsible computing
literacy in the AI era.
Keywords
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DOI: http://dx.doi.org/10.70711/aitr.v4i2.9830
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