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Generative AI for education (GAIED): Advances, opportunities, and challenges
This survey article has grown out of the GAIED (pronounced" guide") workshop organized by
the authors at the NeurIPS 2023 conference. We organized the GAIED workshop as part of a …
the authors at the NeurIPS 2023 conference. We organized the GAIED workshop as part of a …
Evaluating language models for generating and judging programming feedback
The emergence of large language models (LLMs) has transformed research and practice
across a wide range of domains. Within the computing education research (CER) domain …
across a wide range of domains. Within the computing education research (CER) domain …
Hints-In-Browser: Benchmarking Language Models for Programming Feedback Generation
Generative AI and large language models hold great promise in enhancing programming
education by generating individualized feedback and hints for learners. Recent works have …
education by generating individualized feedback and hints for learners. Recent works have …
Propagating Large Language Models Programming Feedback
Large language models (LLMs) such as GPT-4 have emerged as promising tools for
providing programming feedback. However, effective deployment of LLMs in massive …
providing programming feedback. However, effective deployment of LLMs in massive …
[PDF][PDF] Toward diagnosis of semantic errors in Python programming platforms for beginners
Reliable semantic error analysis of student codes can be used to improve both the learning
and teaching experience, through a better understanding of students' codes. We propose a …
and teaching experience, through a better understanding of students' codes. We propose a …
Simulated Interactive Debugging
Debugging software, ie, the localization of faults and their repair, is a main activity in
software engineering. Therefore, effective and efficient debugging is one of the core skills a …
software engineering. Therefore, effective and efficient debugging is one of the core skills a …