人工智能赋能微课资源开发的策略研究——以高中信息技术《计算机解决问题的过程》为例

Research on Strategies for AI-Enabled Micro-Lesson Resource Development—A Case Study of The Process of Solving Problems with Computers in Senior High School Information Technology

摘要: 为探究人工智能赋能高中信息技术微课资源开发的路径，并解决《计算机解决问题的过程》一课中抽象概念的教学难题，文章以教科版高中信息技术必修1内容为研究对象，采用案例研究法，运用DeepSeek、夸克AI、蝉镜AI、剪映工具链，结合认知发展、人机协同与支架式教学理论开展微课开发。研究系统梳理学生学习本课的三重认知障碍，构建四类功能微课，提出“导入–探究–深化–迁移应用”人机协同微课开发闭环与实施策略，并剖析AI工具链的现实局限与教师的审核重构能力要求，可为高中信息技术微课智能化建设提供实践参考，助力发展学生计算思维与数字化问题解决能力。

Abstract: To explore the development path of AI-enabled micro-lesson resources for senior high school information technology and address the teaching challenges of abstract concepts in The Process of Solving Problems with Computers, this paper takes the content of Compulsory Module 1 of senior high school information technology published by the Educational Science Press as the research object. Adopting the case study method, it leverages the toolchain consisting of DeepSeek, Quark AI, ChanJing AI, and Jianying for micro-lesson development, incorporating theories of cognitive development, human-machine collaboration, and scaffolded instruction. The study identifies three types of cognitive barriers encountered by students in learning this lesson, constructs four categories of functional micro-lessons, and proposes a closed-loop human-machine collaborative micro-lesson development framework and implementation strategy following the sequence of “introduction - inquiry - deepening - transfer and application”, and analyzes the practical limitations of the AI toolchain as well as requirements for teachers’ review and reconstruction capabilities. The findings can provide practical references for the intelligent construction of micro-lessons in senior high school information technology and help foster students’ computational thinking and digital problem-solving competencies.