Large language models for education: A survey and outlook
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 …
the realm of education. This survey paper summarizes the various technologies of LLMs in …
Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools
Generative AI (GenAI) is advancing rapidly, and the literature in computing education is
expanding almost as quickly. Initial responses to GenAI tools were mixed between panic …
expanding almost as quickly. Initial responses to GenAI tools were mixed between panic …
Patterns of student help-seeking when using a large language model-powered programming assistant
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 …
educators, but a new generation of tools powered by large language models (LLMs) offers …
An automatic question usability evaluation toolkit
Evaluating multiple-choice questions (MCQs) involves either labor-intensive human
assessments or automated methods that prioritize readability, often overlooking deeper …
assessments or automated methods that prioritize readability, often overlooking deeper …
Automating autograding: Large language models as test suite generators for introductory programming
Background Automatically graded programming assignments provide instant feedback to
students and significantly reduce manual grading time for instructors. However, creating …
students and significantly reduce manual grading time for instructors. However, creating …
Software engineering education in the era of conversational AI: current trends and future directions
The developments in conversational AI raised urgent questions about the future direction of
many aspects of society, including computing education. The first reactions to the fast-paced …
many aspects of society, including computing education. The first reactions to the fast-paced …
A survey on data synthesis and augmentation for large language models
K Wang, J Zhu, M Ren, Z Liu, S Li, Z Zhang… - arxiv preprint arxiv …, 2024 - arxiv.org
The success of Large Language Models (LLMs) is inherently linked to the availability of vast,
diverse, and high-quality data for training and evaluation. However, the growth rate of high …
diverse, and high-quality data for training and evaluation. However, the growth rate of high …
ClimaQA: An Automated Evaluation Framework for Climate Foundation Models
The use of foundation models in climate science has recently gained significant attention.
However, a critical issue remains: the lack of a comprehensive evaluation framework …
However, a critical issue remains: the lack of a comprehensive evaluation framework …
Risk management strategy for generative AI in computing education: how to handle the strengths, weaknesses, opportunities, and threats?
N Humble - International Journal of Educational Technology in …, 2024 - Springer
The idea of Artificial intelligence (AI) has a long history in both research and fiction and has
been applied in educational settings since the 1970s. However, the topic of AI underwent a …
been applied in educational settings since the 1970s. However, the topic of AI underwent a …
[HTML][HTML] Enhancing data analysis and programming skills through structured prompt training: The impact of generative AI in engineering education
A Garg, KN Soodhani, R Rajendran - Computers and Education: Artificial …, 2025 - Elsevier
Abstract The advent of Generative Artificial Intelligence (GenAI) and large language models
like LLama, Palm2, GPT, Gemini, and Claude has revolutionized education by generating …
like LLama, Palm2, GPT, Gemini, and Claude has revolutionized education by generating …