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The exponential growth of text-based data in domains such as healthcare, education, and social sciences has outpaced the capacity of traditional qualitative analysis methods, which are time-intensive and prone to subjectivity. Large…

It is of critical importance to analyse the factors influencing college students' intention to use generative artificial intelligence (GenAI) to understand and predict learners' learning behaviours and academic outcomes. Nevertheless, a…

Computers and Society · Computer Science 2024-09-12 Yifei Diao , Ziyi Li , Jiateng Zhou , Wei Gao , Xin Gong

This study explores the effectiveness of AI tools in enhancing student learning, specifically in improving study habits, time management, and feedback mechanisms. The research focuses on how AI tools can support personalized learning,…

Artificial Intelligence · Computer Science 2024-12-04 Ben Ward , Deepshikha Bhati , Fnu Neha , Angela Guercio

The rapid evolution of Large Language Models (LLMs) has made them powerful tools for enhancing student writing. This study explores the extent and limitations of LLMs in assisting secondary-level English as a Foreign Language (EFL) students…

Human-Computer Interaction · Computer Science 2026-04-20 Hengky Susanto , David James Woo , Chingyi Yeung , Stephanie Wing Yan Lo-Philip , Chi Ho Yeung

Although generative artificial intelligence (AI) is not new, recent technological breakthroughs have transformed its capabilities across many domains. These changes necessitate new attention from educators and specialized training within…

Human-Computer Interaction · Computer Science 2025-10-27 Maria J. Molina , Amy McGovern , Jhayron S. Perez-Carrasquilla , Xiaowen Li , Robin L. Tanamachi

Generative AI (genAI) is being used in education for different purposes. From the teachers' perspective, genAI can support activities such as learning design. However, there is a need to study the impact of genAI on the teachers' agency.…

Artificial Intelligence · Computer Science 2024-07-10 Thomas B Frøsig , Margarida Romero

Large language models (LLMs) are transforming how students learn by providing readily available tools that can quickly augment or complete various learning activities with non-trivial performance. Similar paradigm shifts have occurred in…

Human-Computer Interaction · Computer Science 2025-07-29 Rahul R. Divekar , Sophia Guerra , Lisette Gonzalez , Natasha Boos , Helen Zhou

The manual assessment and grading of student writing is a time-consuming yet critical task for teachers. Recent developments in generative AI, such as large language models, offer potential solutions to facilitate essay-scoring tasks for…

Computation and Language · Computer Science 2024-11-26 Kathrin Seßler , Maurice Fürstenberg , Babette Bühler , Enkelejda Kasneci

The advent of generative artificial intelligence, especially large language models (LLMs), presents opportunities for innovation in research, clinical practice, and education. Recently, Dihan et al. lauded LLM tool NotebookLM's potential,…

Artificial Intelligence · Computer Science 2025-05-06 Max Reuter , Maura Philippone , Bond Benton , Laura Dilley

In this report, we share findings from a nationally representative survey of US public school math and science teachers, examining current generative AI (GenAI) use, perceptions, constraints, and institutional support. We show trends in…

Ongoing advancements in Generative AI (GenAI) have boosted the potential of applying long-standing learning-by-teaching practices in the form of a teachable agent (TA). Despite the recognized roles and opportunities of TAs, less is known…

Computers and Society · Computer Science 2024-09-12 Yukyeong Song , Jinhee Kim , Zifeng Liu , Chenglu Li , Wanli Xing

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

Course evaluation plays a critical role in ensuring instructional quality and guiding curriculum development in higher education. However, traditional evaluation methods, such as student surveys, classroom observations, and expert reviews,…

Computation and Language · Computer Science 2025-12-29 Bo Yuan , Jiazi Hu

Artificial Intelligence (AI) holds transformative potential in education, enabling personalized learning, enhancing inclusivity, and encouraging creativity and curiosity. In this paper, we explore how Large Language Models (LLMs) can act as…

Computers and Society · Computer Science 2026-05-18 Eleonora Grassucci , Gualtiero Grassucci , Aurelio Uncini , Danilo Comminiello

The emergent abilities of Large Language Models (LLMs), which power tools like ChatGPT and Bard, have produced both excitement and worry about how AI will impact academic writing. In response to rising concerns about AI use, authors of…

Computers and Society · Computer Science 2024-01-31 Nir Chemaya , Daniel Martin

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

In the contemporary educational landscape, the advent of Generative Artificial Intelligence (AI) presents unprecedented opportunities for personalised learning, fundamentally challenging the traditional paradigms of education. This research…

Information Retrieval · Computer Science 2024-12-03 Stephen Elbourn

The rapid development of generative artificial intelligence (GenAI) tools such as ChatGPT has intensified interest in their role in higher education, particularly in how students perceive and use them and how these perceptions may relate to…

Computers and Society · Computer Science 2026-03-20 Seyma Yaman Kayadibi

Large language models (LLMs) are becoming increasingly better at a wide range of Natural Language Processing tasks (NLP), such as text generation and understanding. Recently, these models have extended their capabilities to coding tasks,…

Machine Learning · Computer Science 2024-10-23 Nishat Raihan , Mohammed Latif Siddiq , Joanna C. S. Santos , Marcos Zampieri

Students are increasingly relying on Generative AI (GAI) to support their writing-a key pedagogical practice in education. In GAI-assisted writing, students can delegate core cognitive tasks (e.g., generating ideas and turning them into…

Human-Computer Interaction · Computer Science 2024-12-11 Kaixun Yang , Mladen Raković , Zhiping Liang , Lixiang Yan , Zijie Zeng , Yizhou Fan , Dragan Gašević , Guanliang Chen