Large language models for education: A survey and outlook

S Wang, T Xu, H Li, C Zhang, J Liang, J Tang… - arxiv preprint arxiv …, 2024 - arxiv.org
The advent of Large Language Models (LLMs) has brought in a new era of possibilities in
the realm of education. This survey paper summarizes the various technologies of LLMs in …

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

Q Li, L Fu, W Zhang, X Chen, J Yu, W **a… - 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 …

Computing education in the era of generative AI

P Denny, J Prather, BA Becker… - Communications of the …, 2024 - dl.acm.org
Computing Education in the Era of Generative AI Page 1 key insights ˽ Generative AI
presents challenges and opportunities for computing education, necessitating updated …

Codeaid: Evaluating a classroom deployment of an llm-based programming assistant that balances student and educator needs

M Kazemitabaar, R Ye, X Wang, AZ Henley… - Proceedings of the …, 2024 - dl.acm.org
Timely, personalized feedback is essential for students learning programming. LLM-
powered tools like ChatGPT offer instant support, but reveal direct answers with code, which …

A survey on large language models for software engineering

Q Zhang, C Fang, Y **e, Y Zhang, Y Yang… - arxiv preprint arxiv …, 2023 - arxiv.org
Software Engineering (SE) is the systematic design, development, maintenance, and
management of software applications underpinning the digital infrastructure of our modern …

Patterns of student help-seeking when using a large language model-powered programming assistant

B Sheese, M Liffiton, J Savelka, P Denny - Proceedings of the 26th …, 2024 - dl.acm.org
Providing personalized assistance at scale is a long-standing challenge for computing
educators, but a new generation of tools powered by large language models (LLMs) offers …

An empirical study on usage and perceptions of llms in a software engineering project

S Rasnayaka, G Wang, R Shariffdeen… - Proceedings of the 1st …, 2024 - dl.acm.org
Large Language Models (LLMs) represent a leap in artificial intelligence, excelling in tasks
using human language (s). Although the main focus of general-purpose LLMs is not code …

Enhancing llm-based feedback: Insights from intelligent tutoring systems and the learning sciences

J Stamper, R **ao, X Hou - International Conference on Artificial …, 2024 - Springer
Abstract The field of Artificial Intelligence in Education (AIED) focuses on the intersection of
technology, education, and psychology, placing a strong emphasis on supporting learners' …

Ironies of generative AI: understanding and mitigating productivity loss in Human-AI interaction

A Simkute, L Tankelevitch, V Kewenig… - … Journal of Human …, 2024 - Taylor & Francis
Generative AI (GenAI) systems offer opportunities to increase user productivity in many
tasks, such as programming and writing. However, while they boost productivity in some …

Towards bidirectional human-ai alignment: A systematic review for clarifications, framework, and future directions

H Shen, T Knearem, R Ghosh, K Alkiek… - arxiv preprint arxiv …, 2024 - arxiv.org
Recent advancements in general-purpose AI have highlighted the importance of guiding AI
systems towards the intended goals, ethical principles, and values of individuals and …