Refining and Implementing AI-Education Application Scenarios:A Study Based on Exploratory Multi-Case Research
As a driving force behind technological and industrial transformation,artificial intelligence(AI)is expanding its scope and impact in education.Facilitating the deep integration of AI in education is critical for high-quality educational development.This study employed an exploratory multi-case analysis method,establishing case selection criteria and an analytical framework.It examined 50 representative cases of AI integration practices in education from domestic and international contexts.The research team analyzed these cases across seven dimensions:teaching and learning,student development,teacher development,educational assessment,scientific research,educational environment,and educational management.The study identified six significant scenarios,15 key functions,and over 130 points for AI integration and fusion.The study also revealed five key obstacles to implementation:capacity gaps,mindset barriers,contextual constraints,systemic limitations,and potential risks.Based on these findings,the study proposes six strategies for promoting future AI integration and infusion in Education:Fostering mindset shifts,enhancing capacity building,diversifying resource supply,stimulating motivation,strengthening collaboration,and mitigating risks.The strategies provide valuable guidance for promoting the in-depth integration of AI in education in China.
artificial intelligence and educationmulti-case studyscenario implementation
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