[HTML][HTML] A survey of GPT-3 family large language models including ChatGPT and GPT-4

KS Kalyan - Natural Language Processing Journal, 2024 - Elsevier
Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …

Adapting large language models for education: Foundational capabilities, potentials, and challenges

Q Li, L Fu, W Zhang, X Chen, J Yu, W Xia… - arXiv preprint arXiv …, 2023 - arxiv.org
Online education platforms, leveraging the internet to distribute education resources, seek to
provide convenient education but often fall short in real-time communication with students …

The robots are here: Navigating the generative ai revolution in computing education

J Prather, P Denny, J Leinonen, BA Becker… - Proceedings of the …, 2023 - dl.acm.org
Recent advancements in artificial intelligence (AI) and specifically generative AI (GenAI) are
threatening to fundamentally reshape computing and society. Largely driven by large …

Generative AI for Education (GAIED): Advances, Opportunities, and Challenges

P Denny, S Gulwani, NT Heffernan, T Käser… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

Evaluating ChatGPT and GPT-4 for Visual Programming

A Singla - Proceedings of the 2023 ACM Conference on …, 2023 - dl.acm.org
Generative AI has the potential to drastically improve the landscape of computing education
by automatically generating personalized feedback and content. In particular, this potential …

Evaluating Contextually Personalized Programming Exercises Created with Generative AI

E Logacheva, A Hellas, J Prather, S Sarsa… - Proceedings of the …, 2024 - dl.acm.org
Programming skills are typically developed through completing various hands-on exercises.
Such programming problems can be contextualized to students' interests and cultural …

Neural Task Synthesis for Visual Programming

VA Pădurean, G Tzannetos, A Singla - arXiv preprint arXiv:2305.18342, 2023 - arxiv.org
Generative neural models hold great promise in enhancing programming education by
synthesizing new content. We seek to design neural models that can automatically generate …

Evaluating the effectiveness of llms in introductory computer science education: A semester-long field study

W Lyu, Y Wang, T Chung, Y Sun, Y Zhang - Proceedings of the Eleventh …, 2024 - dl.acm.org
The integration of AI assistants, especially through the development of Large Language
Models (LLMs), into computer science education has sparked significant debate …

Automating human tutor-style programming feedback: Leveraging gpt-4 tutor model for hint generation and gpt-3.5 student model for hint validation

T Phung, VA Pădurean, A Singh, C Brooks… - Proceedings of the 14th …, 2024 - dl.acm.org
Generative AI and large language models hold great promise in enhancing programming
education by automatically generating individualized feedback for students. We investigate …

Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming from One-Shot Observation

MH Nguyen, S Tschiatschek, A Singla - arXiv preprint arXiv:2310.10690, 2023 - arxiv.org
Student modeling is central to many educational technologies as it enables the prediction of
future learning outcomes and targeted instructional strategies. However, open-ended …