JERAJournal of Electronic Research and Application2208-35022208-3510Bio-Byword Scientific Publishing Pty. Ltd.10.26689/jera.v9i6.13155ArticleApplied Research on AI Technology Empowerment in Single-Chip Microcomputer Course Teachinghttps://artdesignp.com/journal/JERA/9/6/10.26689/jera.v9i6.13155XuHang,MaiYao2025962025-12-16In recent years, the application of various advanced technologies, such as digitization and informatization, has become the primary tool for innovation in education and teaching. For traditional single-chip microcomputer course teaching, it is necessary to emphasize the introduction and application of high-tech innovations in its path of innovative development. This course is a typical representative of multidisciplinary teaching, involving multiple disciplines such as electronic engineering, automation, and computer science. In response to issues faced in traditional teaching, such as rigid organization of teaching content that struggles to keep pace with technological advancements, resulting in a noticeable lag in knowledge transfer, and monotonous teaching methods that fail to precisely meet the diverse learning needs of students, analyzing the innovative applications of this course under the empowerment of AI technology holds significant practical relevance. In this regard, the study relies on AI technology empowerment to analyze the application paths for the deep integration of AI technology and single-chip microcomputer courses, constructing a new teaching model to provide references for enhancing teaching quality and stimulating students’ innovative potential.

Su X, He Q, 2025, Exploration on the Innovation of Teaching and Learning Scenarios and Modes Empowered by Artificial Intelligence: Taking the Programming Course as an Example. China University Teaching, 2025(6): 65–72.

Liu B, Nie X, Wang Y, et al., 2025, Generative AI Empowering Education: Technical Framework, Application Scenarios, and Value: 2024 Research Report on the Development of Intelligent Education. China Educational Technology, 2025(3): 61–70.

Fu J, Wei J, Liu M, et al., 2024, AIGC Technology Empowering the Transformation of Engineering Education: Innovations in Teaching Methods and Learning Experiences. Research in Higher Education of Engineering, 2024(5): 51–57.

Yu G, Li F, Teng W, 2024, AI + Education: The Upgrade and Transformation of Teaching Modes in the Age of Artificial Intelligence. Social Sciences in Ningxia, 2024(2): 191–198.

Fan W, Zeng L, 2024, Analysis on the Generation Path of Smart Data for the Activation and Utilization of Cultural Heritage in the New Era of AI. Journal of Library Science in China, 50(2): 4–29.

Su X, Miao Q, Chen W, 2023, An Individualized Teaching Mode for Enhancing Programming Ability Based on AI Empowerment and Industry-Education Integration. China University Teaching, 2023(6): 4–9.

Zhan X, Li B, Sun J, 2023, Scenario-Based Applications and Development Opportunities of AIGC in the Context of Digital-Intelligent Integration. Documentation, Information & Knowledge, 40(1): 75–85.

Zhang P, Zheng X, 2025, Problems and Countermeasures of Generative Artificial Intelligence Empowering Classroom Teaching. Zhejiang Social Sciences, 2025(7): 106–109.

Yin H, Liu Y, Yang X, 2025, AI Empowering Innovation in Teaching Scenarios for the History of Industrial Design: Practical Exploration of Debate-Based Learning. Art & Design, 2025(3): 33–39.

Zhang F, Liu K, Han Y, et al., 2023, Design and Implementation of a Teaching-Oriented Analog Electronic Detonator Based on the STC15 Microcontroller. Blasting, 40(3): 236–242.