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Large Language Models (LLMs) offer novel opportunities for educational applications that have the potential to transform traditional learning for students. Despite AI-enhanced applications having the potential to provide personalized…

Human-Computer Interaction · Computer Science 2025-06-06 Xiaotian Su , Thiemo Wambsganss , Roman Rietsche , Seyed Parsa Neshaei , Tanja Käser

This paper presents a new educational framework for integrating generative artificial intelligence (GenAI) platforms such as ChatGPT, Claude, and Gemini into laboratory activities aimed at developing critical thinking and digital literacy…

Computers and Society · Computer Science 2025-07-02 Vasiliy Znamenskiy , Rafael Niyazov , Joel Hernandez

Automatically generating feedback via large language models (LLMs) in intelligent tutoring systems and online learning platforms has the potential to improve the learning outcomes of many students. However, both feedback generation and…

Computation and Language · Computer Science 2024-12-13 Alexander Scarlatos , Digory Smith , Simon Woodhead , Andrew Lan

Generative AI (GAI) tools have seen rapid adoption in educational settings, yet their role in fostering critical thinking remains underexplored. While previous studies have examined GAI as a tutor for specific lessons or as a tool for…

Computers and Society · Computer Science 2025-09-10 W. F. Lamberti , S. R. Lawrence , D. White , S. Kim , S. Abdullah

Coaching, which involves classroom observation and expert feedback, is a widespread and fundamental part of teacher training. However, the majority of teachers do not have access to consistent, high quality coaching due to limited resources…

Computation and Language · Computer Science 2023-06-06 Rose E. Wang , Dorottya Demszky

Tutoring improves student achievement, but identifying and studying what tutoring actions are most associated with student learning at scale based on audio transcriptions is an open research problem. This present study investigates the…

Formative feedback is widely recognized as one of the most effective drivers of student learning, yet it remains difficult to implement equitably at scale. In large or low-resource courses, instructors often lack the time, staffing, and…

Computers and Society · Computer Science 2025-12-01 Chenyu Zhang , Xiaohang Luo

Evaluating the quality of automatically generated question items has been a long standing challenge. In this paper, we leverage LLMs to simulate student profiles and generate responses to multiple-choice questions (MCQs). The generative…

Human-Computer Interaction · Computer Science 2024-05-30 Xinyi Lu , Xu Wang

Recent advancements in artificial intelligence (AI) and machine learning have reignited interest in their impact on Computer-based Learning (CBL). AI-driven tools like ChatGPT and Intelligent Tutoring Systems (ITS) have enhanced learning…

Computers and Society · Computer Science 2025-05-07 Mohsen Balavar , Wenli Yang , David Herbert , Soonja Yeom

Large language models (LLMs) have been proposed as scalable tools to address the gap between the importance of individualized written feedback and the practical challenges of providing it at scale. However, concerns persist regarding the…

Other Statistics · Statistics 2025-11-12 Niklas Ippisch , Markus Herklotz , Anna-Carolina Haensch , Carsten Schwemmer

Generative AI systems such as ChatGPT challenge traditional assumptions about academic assessment by enabling students to generate explanations, code, and solutions in real time. Rather than attempting to restrict AI use, this study…

Computers and Society · Computer Science 2026-05-13 Qusay H. Mahmoud

Generative Artificial Intelligence (GenAI) tools such as ChatGPT are emerging as a revolutionary tool in education that brings both positive aspects and challenges for educators and students, reshaping how learning and teaching are…

Computers and Society · Computer Science 2025-04-29 Stefanie Krause , Ashish Dalvi , Syed Khubaib Zaidi

We claim that LLMs can be paired with formal analysis methods to provide accessible, relevant feedback for HRI tasks. While logic specifications are useful for defining and assessing a task, these representations are not easily interpreted…

Robotics · Computer Science 2024-05-28 Emily Jensen , Sriram Sankaranarayanan , Bradley Hayes

The burgeoning development of generative artificial intelligence (GenAI) and the widespread adoption of large language models (LLMs) in educational settings have sparked considerable debate regarding their efficacy and acceptability.Despite…

Computers and Society · Computer Science 2024-06-25 Aashish Ghimire , John Edwards

The effective integration of generative artificial intelligence in education is a fundamental aspect to prepare future generations. The objective of this study is to analyze from a quantitative and qualitative point of view the perception…

Computers and Society · Computer Science 2024-09-04 Sergio Altares-López , José M. Bengochea-Guevara , Carlos Ranz , Héctor Montes , Angela Ribeiro

Generative artificial intelligence (GenAI) holds great promise as a tool to support personalized learning. Teachers need tools to efficiently and effectively enhance content readability of educational texts so that they are matched to…

Design feedback helps practitioners improve their artifacts while also fostering reflection and design reasoning. Large Language Models (LLMs) such as ChatGPT can support design work, but often provide generic, one-off suggestions that…

Human-Computer Interaction · Computer Science 2026-01-28 Yongsu Ahn , Lejun R Liao , Benjamin Bach , Nam Wook Kim

As generative artificial intelligence (AI) continues to transform education, most existing AI evaluations rely primarily on technical performance metrics such as accuracy or task efficiency while overlooking human identity, learner agency,…

Computers and Society · Computer Science 2025-12-05 Shi Ding , Brian Magerko

AI and generative AI tools, including chatbots like ChatGPT that rely on large language models (LLMs), have burst onto the scene this year, creating incredible opportunities to increase work productivity and improve our lives. Statisticians…

Computation and Language · Computer Science 2024-03-27 Mark Glickman , Yi Zhang

Active Learning (AL) has been a powerful paradigm for improving model efficiency and performance by selecting the most informative data points for labeling and training. In recent active learning frameworks, Large Language Models (LLMs)…

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