Volume 3,Issue 5
AI-Empowered Innovative Research on Teaching Content in Fundamental Computer Courses
This study focuses on the teaching of Office software in fundamental computer courses, addressing issues such as repetitive basic operations and the lack of intelligent tool applications in traditional teaching. It conducts innovative research on AI-empowered teaching content. The study establishes guiding principles centered on "student-focused design, deep integration of technology and content, dynamic updates, and balanced theory-practice alignment." It designs three innovative dimensions—intelligent tool integration, scenario-based training, and personalized learning—forming an "input-process-output-feedback" holistic innovation model. By reconstructing the core modules of intelligent document processing, data analysis, and presentation design, the study achieves deep integration of AI technology with Office teaching. A three-tier evaluation framework (basic skills, intelligent tool application, and scenario-based application) combines quantitative and qualitative methods for assessment. Results show that the experimental group maintained stable basic skills while demonstrating a 3.2-fold increase in intelligent tool usage frequency, a 40% improvement in complex task efficiency, and a 32% boost in learning interest, with particularly significant benefits for low-proficiency students. The study validates the effectiveness of AI-empowered Office teaching, providing practical insights for reforming fundamental computer courses.
[1] Kan Y, Pan Y, Wang J, 2024, Exploration and practice of teaching reform in college basic computer courses based on the concept of effective teaching. Computer Education, 2024(3): 55-58, 63.
[2] Liu X, Wang Z, Chen J, 2025, Research on AIGC technology empowering teaching reform of basic computer courses. Journal of Military Higher Education, 48(1): 50-54, 93.
[3] Microsoft. Work Trend Index Special Report: AI at Work. Redmond: Microsoft Corporation, 2023: 15-18.
[4] Chinese Academy of Educational Sciences. Research Report on the Application of Generative Artificial Intelligence Technology in the Field of Education. Beijing: Chinese Academy of Educational Sciences, 2025.
[5] Qinghua Z, 2024, AI Empowers the Creation of a New Pattern for Future Education. China Higher Education Research, 2024(3):1-7.
[6] Yi K, Han X, 2025, From Blended Teaching to Human-Intelligent Collaborative Teaching: A New Form of Teaching Under the Transformation of Generative Artificial Intelligence Technology. China Distance Education, 45(04):85-98.
[7] Wu D, Sun X, 2024, Research on people-oriented AI literacy education: Interpretation and enlightenment of UNESCO's AI competency framework for teachers and students. Journal of Agricultural Library and Information, 36(8): 4-19.
[8] Mu S, Chen X, Zhou D, 2025, Analysis of Generative AI Empowering Instructional Design: Needs, Methods and Development. Open Education Research, 31(1):61-72.
[9] Teacher Education Department, Ministry of Education. National report on teachers' digital literacy[R]. Beijing: People's Education Press, 2023.
[10] Chinese Academy of Educational Sciences. Research Report on the Application of Generative Artificial Intelligence Technology in the Field of Education. Beijing: Chinese Academy of Educational Sciences, 2025.
[11] Central Institute for Educational Technology. Development report on educational applications of artificial intelligence. Beijing: Educational Science Press, 2022: 15-18.
[12] Deng L, 2025, Obstacles and Strategies for Implementing Educational Artificial Intelligence Ethical Principles in the Context of the Development of Artificial Intelligence Technology. Education Exploration, 2025(07):6-11.
[13] HolonIQ, 2023, Global Educational Technology Trends Report. New York: HolonIQ, 2023:33-35.
[14] Chen Y, 2024, Curriculum Development Based on Artificial Intelligence Technology: A Review of "In-depth Integration and Innovative Application of Artificial Intelligence and Education Teaching". Yangtze River, 55(12):265-266.
[15] Mu S, Chen X, Zhou D, 2025, Analysis of Generative AI Empowering Instructional Design: Needs, Methods and Development. Open Education Research, 31(01):61-72.