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AI-Driven Teaching Innovation: A Practical Exploration of the Programming Internship and Image Processing Undergraduate Programs
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项目报告 (Project Report)
Adobe PDF, 5.54 MB
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Authors
Editors
Date
2026
Educational Level
ISCED Level 6 Bachelor’s or equivalent
Geographical Setting
China
Abstract
Background: With the rapid advancement of AI, integrating AI tools into higher education has become a transformative trend. As a teacher teaching two undergraduate courses: Practice of Programming and Image Processing, I leveraged AI to enhance course design and pedagogy, addressing the growing demand for AI learning among students.
Problems, Challenges, or Opportunities Addressed: The innovation tackled: (1) Outdated programming course lacking AI relevance; (2) Limited student engagement in traditional image processing courses; (3) The need to equip students with practical AI skills. AI integration presented opportunities to modernize content, improve interactivity, and foster interdisciplinary competencies.
Methods for Development and Evaluation: For Practice of Programming, Python replaced C++ for AI alignment, and DeepSeek assisted in creating interactive coding examples (e.g., a mini-game); for Image Processing, AI tools (e.g., Photoshop, HuggingFace) and deep learning techniques (e.g., diffusion models) were embedded into lectures and assignments. Student feedback and project outcomes were analysed to evaluate effectiveness.
Key Findings and Outcomes: Students demonstrated improved engagement and creativity, especially in AI-driven projects. AI tools streamlined instructor workflows (e.g., generating teaching materials via
DeepSeek). The courses successfully bridged foundational knowledge and cutting-edge AI
applications.
Impact on Teaching Practice: The innovation reinforced the role of AI as both a pedagogical aid and a core skill for students. It highlighted the need for educators to continuously adapt courses and embrace AI tools to enhance learning outcomes and career readiness.
Description
Keywords (free text)
AI in education, curriculum innovation, Python programming, image processing, deep learning, AI generated content,, interactive learning, large learning models