STEMM Institute Press
Science, Technology, Engineering, Management and Medicine
AI-Enabled Educational Innovation and Quality Enhancement: A Practice-Based Study in the "Fundamentals of Web Design" Course
DOI: https://doi.org/10.62517/jhve.202616106
Author(s)
Peihong Ren
Affiliation(s)
School of Artificial Intelligence, Zhejiang Dongfang Polytechnic, Wenzhou, Zhejiang, China
Abstract
The rapid advancement of generative artificial intelligence (GenAI) presents both unprecedented opportunities and significant risks for vocational education, particularly in resource-constrained institutional settings. This practice-based study investigates the systematic integration of AI into the "Fundamentals of Web Design" curriculum at an ordinary junior college in China. Employing a design-based research methodology over two academic semesters, the study develops and implements a tri-phase "AI-Integrated Teaching Cycle" grounded in the theoretical framework of "Cognitive Offloading for Higher-Order Empowerment" (COHE). This model strategically delegates lower-order cognitive tasks to AI, thereby liberating students' cognitive capacity for complex problem-solving, creative synthesis, and critical evaluation. Empirical findings demonstrate significant positive outcomes: student projects exhibited a 40% increase in advanced feature implementation, core competency benchmarks remained stable through designated "AI-free" assessments, and students developed sophisticated metacognitive capabilities as documented in process logs. The study concludes that pedagogically-anchored AI integration, accompanied by robust ethical safeguards including cognitive firewalls and process-focused assessment redesign, can effectively transform vocational learners from reproductive technicians into "augmented developers" equipped for the contemporary digital workplace. This research provides a replicable roadmap for institutions seeking to harness AI not as a substitute for human intelligence, but as a catalyst for deeper cognitive empowerment.
Keywords
Artificial Intelligence in Education; Vocational Education; Human-Computer Collaboration; Capacity Empowerment; Web Design Instruction; Pedagogical Innovation.
References
[1]Qi Zhanyong, Zhan Mengjun. The Internal Mechanisms and Action Pathways of AI Empowering Vocational Education under the Technology-Economy Paradigm. Journal of Southwest University (Social Sciences Edition), 2025(06): 211-222. [2]Huang Dan, Zhou Weibo. Teaching Reform of Web Design Driven by Generative AI and Knowledge Graphs. Computer Era, 2025, (07): 78-82. [3]Zhu Xudong, Xu Peiyuan, Yu Saidi. Teachers' Whole-Profession Development in the Age of Artificial Intelligence. Journal of Distance Education, 2025, 43(04): 12-19. [4]Wu Cunhua, Zhu Huizhen. Research on the Integrated Application of Generative Artificial Intelligence and Smart Education Platforms in Vocational Education. Modern Vocational Education, 2025, (11): 121-124. [5]Maher S D, Kelly J. Learning with AI, not from AI: Ethical and pedagogical implications of ChatGPT in undergraduate education. Nurse education today, 2025, 158106961. [6]Song Ruoxiang. Exploration on Teaching Reform of Web Design and Production Course Based on Innovation Ability Cultivation. Theory and Practice of Innovation and Entrepreneurship, 2025, 8(10): 50-52. [7]Zhu Wenfei. AIGC-Empowered Teaching Reform Practice in Computer-Related Major Courses: Taking the Web Design and Production Course as an Example. Journal of Tianjin Vocational Institutes, 2025, 27(05): 57-63. [8]Li Zhenhuan, Wang Aisheng. Exploration and Practice of AI-Empowered Experimental Teaching in Information System Design: Taking the Lesson "AI Generation of Web Design" as an Example. China Information Technology Education, 2025, (01): 32-34. [9]Wang Xuewei, Liu Jun, Ding Xilong. Research on the Innovation of Talent Cultivation Mode Through Industry-Education Integration in the Era of Artificial Intelligence. Journal of Ningbo Polytechnic, 2025, 29(02): 57-64+71. [10]Lyu Yujing, Du Yanyong. Research on Generative AI Ethics Policies at Prominent Foreign Universities. Journal of China University of Mining & Technology (Social Sciences), 2025, 27(4): 110-125. Yanggao Xue'er, Wang Xianchen, Li Ping. Teacher Role Reshaping in the Digital Transformation of Education: Innovation of Teaching Models Based on Artificial Intelligence. Science and Education Article Collects, 2025, (11): 11-14.
Copyright @ 2020-2035 STEMM Institute Press All Rights Reserved