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Sebastian Hobert; Florian Berens – Educational Technology Research and Development, 2024
Individualized learning support is an essential part of formal educational learning processes. However, in typical large-scale educational settings, resource constraints result in limited interaction among students, teaching assistants, and lecturers. Due to this, learning success in those settings may suffer. Inspired by current technological…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Learning Processes, Teaching Methods
Jessie S. Barrot – Technology, Knowledge and Learning, 2024
This emerging technology report delves into the role of ChatGPT, an OpenAI conversational AI, in language learning. The initial section introduces ChatGPT's nature and highlights its features, including accessibility, personalization, immersive learning, and instant feedback, which render it a valuable asset for language learners and educators…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Language Acquisition
Clinton Chidiebere Anyanwu; Pauline Ndidi Ononiwu; Grace Ngozi Isiozor – Education and Information Technologies, 2024
In contemporary society, information and communication technology permeates every aspect of human life, including education. This study investigates the impact of WhatsApp chatbot technology and Glaser's teaching approaches on the academic performance of economics education students in tertiary institutions. Grounded in activity theory, the study…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Teaching Methods
Fábio Albuquerque; Paula Gomes Dos Santos – Cogent Education, 2024
Using a quasi-experimental method and content analysis as a technique, this study tests ChatGPT, in its version 4, by assessing its textual characteristics and overall understanding regarding the recognition criteria of provisions under International Accounting Standards (IAS) 37, as issued by the International Accounting Standards Board (IASB).…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Accounting
Jeya Amantha Kumar; Min Zhuang; Stephen Thomas – Natural Sciences Education, 2024
Chat Generative Pre-Trained Transformer (ChatGPT) has emerged as a powerful artificial intelligence (AI) tool with an aptitude to transform course design in higher education significantly. While ChatGPT's applications in education are substantially growing, its role in natural sciences, particularly in course planning and content generation among…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Natural Sciences
David Baidoo-Anu; Daniel Asamoah; Isaac Amoako; Inuusah Mahama – Discover Education, 2024
This study examined the perspectives of Ghanaian higher education students on the use of ChatGPT. The Students' ChatGPT Experiences Scale (SCES) was developed and validated to evaluate students' perspectives of ChatGPT as a learning tool. A total of 277 students from universities and colleges participated in the study. Through exploratory factor…
Descriptors: Student Attitudes, Artificial Intelligence, Higher Education, Foreign Countries
David R. Firth; Mason Derendinger; Jason Triche – Information Systems Education Journal, 2024
In this paper we describe a framework for teaching students when they should, or should not use generative AI such as ChatGPT. Generative AI has created a fundamental shift in how students can complete their class assignments, and other tasks such as building resumes and creating cover letters, and we believe it is imperative that we teach…
Descriptors: Cheating, Artificial Intelligence, Man Machine Systems, Natural Language Processing
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
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
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
Carrie Kell; Brian Kraeer; William Cain – Impacting Education: Journal on Transforming Professional Practice, 2025
This essay explores the evolving role of generative AI within EdD programs, highlighting its transformative potential to support students throughout their dissertation journey. Through narrative inquiry, it shares the experiences of two doctoral students writing dissertations in practice about AI, while simultaneously negotiating the use of it in…
Descriptors: Artificial Intelligence, Technology Uses in Education, Writing (Composition), Doctoral Dissertations
Abdulla-All Mijan; Md Rabiul Hasan; Mehedi Hasan – International Journal of Technology in Education and Science, 2025
This study investigated the utilization of artificial intelligence (AI) platforms in Bangladeshi higher education institutions, with an emphasis on determining which AI platforms are most widely used and assessing the variables that affect AI adoption. The particular criteria influencing platform preferences and the comparative analysis of various…
Descriptors: Artificial Intelligence, Technology Integration, Technology Uses in Education, Foreign Countries
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
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