Revolutionizing Programming Language Education with Generative AI: Knowledge Enrichment and Adaptive Learning/Teaching Framework

会议论文
发表日期：

2024年

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H. G. Khiem,
L. Q. Khoi,
M. N. Triet,
N. T. Phuc,
T. D. Khoa,
N. Q. Hien,
L. K. Tung,
T. B. Nam,
N. T. Vinh,
N. H. Kha,
Q. T. Thuan,
L. K. Bang,
N. V. Minh,
N. T. K. Ngan,
H. V. Khanh

摘要

The digital era, marked by swift advancements in artificial intelligence (AI), has reshaped the educational landscape, particularly in e-learning platforms and digital assistants. While initial forays into AI-enhanced education relied on static algorithms, the evolving needs of global learners demand more dynamic solutions. This paper introduces the Knowledge Enrichment and Adaptive Learning/Teaching Framework (KEALTF), a transformative approach that marries cutting-edge technologies with intricate data preparation. Designed to offer a dynamic educational experience, this framework leverages tools such as Node.js, MongoDB, and advanced AI libraries, including ChatGPT. By ensuring a holistic and synergistic learning environment, KEALTF aims to redefine the future of programming language education.