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Since its launch in late 2022, ChatGPT has ignited widespread interest in Large Language Models (LLMs) and broader Artificial Intelligence (AI) solutions. As this new wave of AI permeates various sectors of society, we are continually…

Computers and Society · Computer Science 2025-09-18 Juho Vepsäläinen , Petri Juntunen

Artificial Intelligence (AI) technologies like ChatGPT now threaten bibliometrics as the primary generators of research quality indicators. They are already used in at least one research quality evaluation system and evidence suggests that…

Digital Libraries · Computer Science 2025-06-10 Mike Thelwall

The study was conducted in an Advanced Quantitative Research Methods course involving 20 graduate students. During the course, student inquiries made to the AI were recorded and coded using Bloom's taxonomy and the CLEAR framework. A series…

Human-Computer Interaction · Computer Science 2025-06-04 Zhanxin Hao , Haifeng Luo , Yongyi Chen , Yu Zhang

Integrating large language models (LLMs) like ChatGPT into computer science education offers transformative potential for complex courses such as data structures and algorithms (DSA). This study examines ChatGPT as a supplementary tool for…

Human-Computer Interaction · Computer Science 2025-03-04 Pooriya Jamie , Reyhaneh Hajihashemi , Sharareh Alipour

Intelligent tutoring systems have long enabled automated immediate feedback on student work when it is presented in a tightly structured format and when problems are very constrained, but reliably assessing free-form mathematical reasoning…

Computers and Society · Computer Science 2026-01-08 Aron Gohr , Marie-Amelie Lawn , Kevin Gao , Inigo Serjeant , Stephen Heslip

Integrating Artificial Intelligence (AI) in educational settings has brought new learning approaches, transforming the practices of both students and educators. Among the various technologies driving this transformation, Large Language…

Computation and Language · Computer Science 2025-06-06 Giorgio Biancini , Alessio Ferrato , Carla Limongelli

Intelligent tutoring systems have demonstrated effectiveness in teaching formal propositional logic proofs, but their reliance on template-based explanations limits their ability to provide personalized student feedback. While large…

Artificial Intelligence · Computer Science 2025-11-24 Sutapa Dey Tithi , Arun Kumar Ramesh , Clara DiMarco , Xiaoyi Tian , Nazia Alam , Kimia Fazeli , Tiffany Barnes

Individual teaching is among the most successful ways to impart knowledge. Yet, this method is not always feasible due to large numbers of students per educator. Quantum computing serves as a prime example facing this issue, due to the hype…

Despite the development of various AI systems to support learning in various domains, AI assistance for art appreciation education has not been extensively explored. Art appreciation, often perceived as an unfamiliar and challenging…

Artificial Intelligence · Computer Science 2024-09-19 Unggi Lee , Minji Jeon , Yunseo Lee , Gyuri Byun , Yoorim Son , Jaeyoon Shin , Hongkyu Ko , Hyeoncheol Kim

Recent advances in artificial intelligence have created new possibilities for making education more scalable, adaptive, and learner-centered. However, existing educational chatbot systems often lack contextual adaptability, real-time…

Computation and Language · Computer Science 2026-02-10 Mohamed El Hajji , Tarek Ait Baha , Aicha Dakir , Hammou Fadili , Youssef Es-Saady

Advances in large language models (LLMs) enable many new innovations in education. However, evaluating the effectiveness of new technology requires real students, which is time-consuming and hard to scale up. Therefore, many recent works on…

Computation and Language · Computer Science 2026-05-06 Alexander Scarlatos , Jaewook Lee , Simon Woodhead , Andrew Lan

Generative AI and large language models hold great promise in enhancing computing education by powering next-generation educational technologies for introductory programming. Recent works have studied these models for different scenarios…

How much have students' ordinary learning processes shifted in response to generative AI, and how does that affect their durable learning outcomes? Self-report surveys show little change, while small-scale behavioral studies report…

Computers and Society · Computer Science 2026-05-22 Sina Rismanchian , Hasan Uzun , Jeffrey Matayoshi , Eric Cosyn , Eyad Kurd-Misto

Providing students with flexible and timely academic support is a challenge at most colleges and universities, leaving many students without help outside scheduled hours. Large language models (LLMs) are promising for bridging this gap, but…

Computers and Society · Computer Science 2025-09-12 Chang Liu , Loc Hoang , Andrew Stolman , Rene F. Kizilcec , Bo Wu

This study explores the integration of Large Language Models (LLMs) into the grading and appeal resolution process in computer science education. We introduce AI-PAT, an AI-powered assessment tool that leverages LLMs to evaluate computer…

Human-Computer Interaction · Computer Science 2025-04-21 I. Aytutuldu , O. Yol , Y. S. Akgul

The impressive essay writing and problem-solving capabilities of large language models (LLMs) like OpenAI's ChatGPT have opened up new avenues in education. Our goal is to gain insights into the widespread use of LLMs among secondary…

Human-Computer Interaction · Computer Science 2024-12-02 Tiffany Zhu , Kexun Zhang , William Yang Wang

In this study, I explored the impact of Generative AI on learning efficacy in academic reading materials using experimental methods. College-educated participants engaged in three cycles of reading and writing tasks. After each cycle, they…

Computers and Society · Computer Science 2023-11-13 Qirui Ju

Educators are increasingly concerned about the usage of Large Language Models (LLMs) such as ChatGPT in programming education, particularly regarding the potential exploitation of imperfections in Artificial Intelligence Generated Content…

Generative AI offers a simple, prompt-based alternative to fine-tuning smaller BERT-style LLMs for text classification tasks. This promises to eliminate the need for manually labeled training data and task-specific model training. However,…

Computation and Language · Computer Science 2024-08-19 Martin Juan José Bucher , Marco Martini

Resource limitations make it hard to provide all students with one of the most effective educational interventions: personalized instruction. Reinforcement learning could be a key tool to reduce the development cost and improve the…