Abstract
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.
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Notes
- 1.
Knowledge Enrichment and Adaptive Learning/Teaching Framework: https://github.com/SonHaXuan/Knowledge-Enrichment-and-Adaptive-Learning-Teaching-Framework.
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Khiem, H.G. et al. (2024). Revolutionizing Programming Language Education with Generative AI: Knowledge Enrichment and Adaptive Learning/Teaching Framework. In: Kubincová, Z., et al. Emerging Technologies for Education. SETE 2023. Lecture Notes in Computer Science, vol 14607. Springer, Singapore. https://doi.org/10.1007/978-981-97-4246-2_10
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