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Large Language Models (LLMs), such as ChatGPT, exhibit advanced capabilities in generating text, images, and videos. However, their effective use remains constrained by challenges in prompt formulation, personalization, and opaque…

Human-Computer Interaction · Computer Science 2025-03-04 Si Thu , A. Baki Kocaballi

Large language models (LLMs) are increasingly used to generate feedback, yet their impact on learning remains underexplored, especially compared to existing feedback methods. This study investigates how on-demand LLM-generated explanatory…

Computation and Language · Computer Science 2025-06-23 Danielle R. Thomas , Conrad Borchers , Shambhavi Bhushan , Erin Gatz , Shivang Gupta , Kenneth R. Koedinger

Large language models (LLMs) are increasingly embedded in AI-based tutoring systems. Can they faithfully model novice reasoning and metacognitive judgments? Existing evaluations emphasize problem-solving accuracy, overlooking the fragmented…

Computation and Language · Computer Science 2026-05-12 Conrad Borchers , Jill-Jênn Vie , Roger Azevedo

The importance of managing feedback practices in higher education has been widely recognised, as they play a crucial role in enhancing teaching, learning, and assessment processes. In today's educational landscape, feedback practices are…

Computers and Society · Computer Science 2026-02-04 Daniele Agostini , Federica Picasso

Self-reflection on learning experiences constitutes a fundamental cognitive process, essential for the consolidation of knowledge and the enhancement of learning efficacy. However, traditional methods to facilitate reflection often face…

Generative artificial intelligence (AI) has the potential to scale up personalized tutoring through large language models (LLMs). Recent AI tutors are adapted for the tutoring task by training or prompting LLMs to follow effective…

Computation and Language · Computer Science 2025-07-30 Alexander Scarlatos , Naiming Liu , Jaewook Lee , Richard Baraniuk , Andrew Lan

Prior research shows that how students engage with Large Language Models (LLMs) influences their problem-solving and understanding, reinforcing the need to support productive LLM-uses that promote learning. This study evaluates the impact…

Computers and Society · Computer Science 2025-08-25 Jerome Brender , Laila El-Hamamsy , Kim Uittenhove , Francesco Mondada , Engin Bumbacher

The rapid proliferation of generative artificial intelligence (AI) tools - especially large language models (LLMs) such as ChatGPT - has ushered in a transformative era in higher education. Universities in developed regions are increasingly…

Human-Computer Interaction · Computer Science 2025-06-30 Russell Beale

Project-based learning (PBL) is an instructional method that is very helpful in nurturing students' creativity, but it requires significant time and energy from both students and teachers. Large language models (LLMs) have been proven to…

Human-Computer Interaction · Computer Science 2024-04-08 Siyu Zha , Yuehan Qiao , Qingyu Hu , Zhongsheng Li , Jiangtao Gong , Yingqing Xu

The rapid emergence of generative AI tools is transforming the way software is developed. Consequently, software engineering education must adapt to ensure that students not only learn traditional development methods but also understand how…

Software Engineering · Computer Science 2025-12-08 Uwe M. Borghoff , Mark Minas , Jannis Schopp

This study investigates the application effectiveness of the Large Language Model (LLMs) ChatGLM in the automated generation of high school information technology exam questions. Through meticulously designed prompt engineering strategies,…

Computers and Society · Computer Science 2024-08-22 Yanxin Chen , Ling He

The dream of achieving a student-teacher ratio of 1:1 is closer than ever thanks to the emergence of large language models (LLMs). One potential application of these models in the educational field would be to provide feedback to students…

Computers and Society · Computer Science 2025-05-06 Marc Ballestero-Ribó , Daniel Ortiz-Martínez

The study explores the role of large language models (LLMs) in the context of the architectural design studio, understood as the pedagogical core of architectural education. Traditionally, the studio has functioned as an experiential…

Computers and Society · Computer Science 2025-10-23 Juan David Salazar Rodriguez , Sam Conrad Joyce , Nachamma Sockalingam , Khoo Eng Tat , Julfendi

The evolving pedagogy paradigms are leading toward educational transformations. One fundamental aspect of effective learning is relevant, immediate, and constructive feedback to students. Providing constructive feedback to large cohorts in…

Computers and Society · Computer Science 2025-10-14 Javed Ali Khan , Muhammad Yaqoob , Mamoona Tasadduq , Hafsa Shareef Dar , Aitezaz Ahsan

Recent research has explored the creation of questions from code submitted by students. These Questions about Learners' Code (QLCs) are created through program analysis, exploring execution paths, and then creating code comprehension…

Computers and Society · Computer Science 2024-04-19 Teemu Lehtinen , Charles Koutcheme , Arto Hellas

As large language models (LLMs) become more common in educational tools and programming environments, questions arise about how these systems should interact with users. This study investigates how different interaction styles with…

Human-Computer Interaction · Computer Science 2025-07-08 Kai Deng

Grasping complex computing concepts often poses a challenge for students who struggle to anchor these new ideas to familiar experiences and understandings. To help with this, a good analogy can bridge the gap between unfamiliar concepts and…

Human-Computer Interaction · Computer Science 2024-04-16 Seth Bernstein , Paul Denny , Juho Leinonen , Lauren Kan , Arto Hellas , Matt Littlefield , Sami Sarsa , Stephen MacNeil

Large language model (LLM) applications, such as ChatGPT, are a powerful tool for online information-seeking (IS) and problem-solving tasks. However, users still face challenges initializing and refining prompts, and their cognitive…

Human-Computer Interaction · Computer Science 2024-02-12 Ben Wang , Jiqun Liu , Jamshed Karimnazarov , Nicolas Thompson

In the aftermath of COVID-19, many universities implemented supplementary "reinforcement" roles to support students in demanding courses. Although the name for such roles may differ between institutions, the underlying idea of providing…

Computers and Society · Computer Science 2025-11-05 Noa Izsak

Contextualizing problems to align with student interests can significantly improve learning outcomes. However, this task often presents scalability challenges due to resource and time constraints. Recent advancements in Large Language…

Human-Computer Interaction · Computer Science 2023-06-02 Gautam Yadav , Ying-Jui Tseng , Xiaolin Ni