In the era of rapidly evolving artificial intelligence (AI), there is a profound shift in the pedagogical and cognitive strategies of key educational stakeholders, such as educators and students. The integration of AI techniques not only refines the teaching process but also expands the range of instructional strategies and enhances the achievement of educational goals. This research provides an in-depth exploration of the logic, context, and practical approaches to AI-augmented teaching, with the aim of paving the way for advanced teaching methods in the age of AI. It begins with an analysis of the foundational principles of AI-supported teaching, which are rooted in educational aims and the principles of AI. Following this, the study presents a conceptual framework for the development of an AIGC platform and suggests practical strategies for enhancing programming skills through the use of AIGC models. The goal of this research is to facilitate a seamless integration of AI in various teaching approaches, thereby nurturing the development of a cutting-edge educational ecosystem.

Haijun Xiong, Qi Zhang, Xiaohui Wang, Zhiyuan Xie. Empowerment of Programming Capability Development through AIGC. Frontiers in Educational Research (2024) Vol. 7, Issue 11: 57-64. https://doi.org/10.25236/FER.2024.071110.

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