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Evaluating Adaptive and Generative AI-Based Feedback and Recommendations in A Knowledge-Graph-Integrated Programming Learning System by krisna2205101053 is a document available to read on EtoBox.

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This paper presents a framework that combines a large language model (LLM) with a retrieval-augmented generation (RAG) approach to enhance feedback and recommendations in a programming learning system. An experimental study showed that the hybrid GenAI-adaptive mode significantly outperformed both adaptive-only and GenAI-only modes in terms of learners

Author

krisna2205101053

Language

EN