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Asmaa Thaer Aldulaijan; Shatha Mohammed Almalk – Journal of Information Technology Education: Research, 2025
Aim/Purpose: This study aimed to investigate the impact of generative artificial intelligence (GenAI) tools on postgraduate students' learning experiences. It examined how these students utilize GenAI tools, identified the perceived benefits of their use, and uncovered the challenges students face in their learning experiences with these tools.…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Graduate Students
Shehr Bano Zaidi – Changing English: Studies in Culture and Education, 2025
This research project is set in a Pakistani undergraduate translation studies class. Pakistan is an ex-British colony where English is taught in a linguistic neo-imperial context. Teachers often endeavor to lessen the palpable struggle of students by introducing activities that put less emphasis on grammatical correctness and more on fostering…
Descriptors: Translation, Second Languages, English (Second Language), Second Language Learning
Dania Bilal; Li-Min Cassandra Huang – Information and Learning Sciences, 2025
Purpose: This paper aims to investigate user voice-switching behavior in voice assistants (VAs), embodiments and perceived trust in information accuracy, usefulness and intelligence. The authors addressed four research questions: RQ1. What is the nature of users' voice-switching behavior in VAs? RQ2: What are user preferences for embodied voice…
Descriptors: Undergraduate Students, Artificial Intelligence, Natural Language Processing, Information Retrieval
Sghaier Guizani; Tehseen Mazhar; Tariq Shahzad; Wasim Ahmad; Afsha Bibi; Habib Hamam – Discover Education, 2025
Artificial intelligence-driven Chatbots, especially large language models (LLMs) like GPT-4, represent significant progress in digital education. These models excel in mimicking human-like text and transforming learning and teaching methods. This study examines the development, application, and impact of LLMs in education. It highlights their role…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Automation
Hao Zhou; Wenge Rong; Jianfei Zhang; Qing Sun; Yuanxin Ouyang; Zhang Xiong – IEEE Transactions on Learning Technologies, 2025
Knowledge tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant attention since it facilitates personalized experiences in educational situations. Simultaneously, the autoregressive (AR) modeling on the sequence of former exercises…
Descriptors: Learning Experience, Academic Achievement, Data, Artificial Intelligence
Matthew Landers – Higher Education for the Future, 2025
This article presents a brief overview of the state-of-the-art in large language models (LLMs) like ChatGPT and discusses the difficulties that these technologies create for educators with regard to assessment. Making use of the 'arms race' metaphor, this article argues that there are no simple solutions to the 'AI problem'. Rather, this author…
Descriptors: Ethics, Cheating, Plagiarism, Artificial Intelligence
Katt Blackwell-Starnes – Thresholds in Education, 2025
This paper examines the use of ChatGPT as an educational tool to teach writing and revision in a first-semester writing course in Fall 2023 at a regional university. The course used ChatGPT as a classroom model to show students how to ethically use generative AI as part of their writing and revision process. One-on-one conferences about student…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Writing Instruction
Holger Hopp; Jana Reifegerste; Michael T. Ullman – Language Learning, 2025
Second language (L2) grammar learning is difficult. Two frameworks--the psycholinguistic lexical bottleneck hypothesis and the neurocognitive declarative/procedural model--predict that faster L2 lexical processing should facilitate L2 incidental grammar learning. We tested these predictions in a pretest-posttest syntactic adaptation study of…
Descriptors: Lexicology, Vocabulary Development, Language Acquisition, Grammar
Nicole Alea Albada; Vanessa E. Woods – Teaching of Psychology, 2025
Background: Citation practices are fundamental to teaching scholarly writing. With the emergence of generative Artificial Intelligence (AI) technologies, students need a structured way to cite when and how these technologies are used. Objective: This paper introduces an instructor resource, an AI Contribution Statement, which provides students…
Descriptors: Citations (References), Technology Uses in Education, Ethics, Research Papers (Students)
Adam Lockwood; Ryan Farmer; Gagan Shergill; Nicholas Benson; Kacey Gilbert – Journal of Psychoeducational Assessment, 2025
This study examines the effectiveness of artificial intelligence (AI) in psychological report writing by comparing reports generated by human psychologists with those produced by OpenAI's Generative Pre-trained Transformer Version 4 (ChatGPT-4). A total of 249 licensed psychologists evaluated the reports based on overall quality, readability,…
Descriptors: Man Machine Systems, Artificial Intelligence, Psychological Evaluation, Reports
Adam Finkel-Gates – Journal of Learning Development in Higher Education, 2025
This study examines the impact of AI, particularly ChatGPT, on academic integrity and assessment practices in higher education. As AI integration grows, concerns about its potential to undermine academic rigour and increase inequalities have surfaced. Through interviews with students and a lecturer, the research explores the benefits and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Evaluation Methods
Olaperi Okuboyejo; Sigrid Ewert; Ian Sanders – ACM Transactions on Computing Education, 2025
Regular expressions (REs) are often taught to undergraduate computer science majors in the Formal Languages and Automata (FLA) course; they are widely used to implement different software functionalities such as search mechanisms and data validation in diverse fields. Despite their importance, the difficulty of REs has been asserted many times in…
Descriptors: Automation, Feedback (Response), Error Patterns, Error Correction
Yusuf Oc; Chahna Gonsalves; La Toya Quamina – Journal of Marketing Education, 2025
The integration of generative artificial intelligence (AI) tools is a paradigm shift in enhanced learning methodologies and assessment techniques. This study explores the adoption of generative AI tools in higher education assessments by examining the perceptions of 353 students through a survey and 17 in-depth interviews. Anchored in the Unified…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Zi Yang; Junjie Gavin Wu; Haoran Xie – Asia Pacific Journal of Education, 2025
The emergence of generative artificial intelligence (GAI) in the past two years is exerting profound effects throughout society. However, while this new technology undoubtedly promises substantial benefits, its disruptive nature also means that it poses a variety of challenges. The field of education is no exception. This position paper intends to…
Descriptors: Artificial Intelligence, Ethics, Technology Uses in Education, Natural Language Processing
Christopher Mah; Mei Tan; Lena Phalen; Alexa Sparks; Dorottya Demszky – Annenberg Institute for School Reform at Brown University, 2025
Effective writing feedback is a powerful tool for enhancing student learning, encouraging revision, and increasing motivation and agency. Yet, teachers face many challenges that prevent them from consistently providing effective writing feedback. Recent advances in generative artificial intelligence (AI) have led educators and researchers to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Writing Evaluation

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