Dual-Element Collaboration and Intelligent Empowerment: Design of an AI-Enhanced Teaching Framework for the Software Construction Course
Year: 2025
Type: article
Abstract: As a core course for computer-related majors, Software Construction directly influences students’ ability to transition from programming to systematic software development. To address issues such as the disconnection between traditional teaching theory and practice, the monotony of teaching methods, and the rigidity of evaluation systems, we integrate the strengths of the “dual-system” education model with AI technology, and propose an AI-enhanced teaching framework. Based on uni-enterprise dual-element collaboration, this framework integrates the “two-dimensional, three-stage, and four-loop” structure with the concept of flipped classroom. Through innovative designs including intelligent course preparation systems, personalized learning paths, full-process project-driven approaches, and dynamic evaluation mechanisms, it achieves accurate alignment between teaching content and industrial needs, intelligent adaptation of teaching processes, and multi-dimensional coverage of teaching evaluation. This framework can effectively enhance students’ engineering practice capabilities and innovative thinking, providing a replicable paradigm for the teaching reform of computer-related professional courses.
Source: Education Study
DOI: 10.35534/es.0707146
Authors: Chen Yan, Wang Xiaofeng, Xu Qiang, Wang Renbao, Tu Jing, Hua Shanshan, Zhang Chen, Zhang Yanming
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4413229682