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Eman Abdullah AlOmar – ACM Transactions on Computing Education, 2025
Large Language Models (LLMs), such as ChatGPT, have become widely popular for various software engineering tasks, including programming, testing, code review, and program comprehension. However, their impact on improving software quality in educational settings remains uncertain. This article explores our experience teaching the use of Programming…
Descriptors: Coding, Natural Language Processing, Artificial Intelligence, Computer Software
Shahper Richter; Marilyn Giroux; Inna Piven; Herbert Sima; Patrick Dodd – Journal of Marketing Education, 2025
AI advancements in higher education have reshaped marketing education, posing challenges for educators in integrating AI into curricula. This integration is essential for aligning with industry advancements and fostering responsible AI utilization among students. The purpose of this study is to provide insights into how marketing educators can…
Descriptors: Constructivism (Learning), Artificial Intelligence, Computer Software, Technology Integration
Özge Kübra Yilmaz; Selami Aydin – Reading Research Quarterly, 2025
Reading motivation is critical in learning English as a foreign language (EFL). Therefore, insufficient reading motivation leads to several problems concerning the learners' reading development. One of the strategies to maintain and boost learners' motivation is integrating artificial intelligence (AI) tools into language teaching practices. One…
Descriptors: Reading Materials, Reading Motivation, English (Second Language), Second Language Learning
Tina Jaber Rafidi; Nabiha El Khatib – Discover Education, 2025
As generative AI tools like ChatGPT become increasingly integrated into academic settings, understanding students' perspectives is critical--particularly in underrepresented regions such as Lebanon and Palestine. A mixed-methods approach using survey data and thematic analysis of in-depth interviews was employed to analyze students' perceived…
Descriptors: Cross Cultural Studies, Artificial Intelligence, Technology Integration, Teaching Methods
Molly Chehak; Maggie Debelius; Jake Holtschlag; Grace Kim; Kenny Le; Sarah Lyons; Hugo Nutting; Sophia Oh – International Journal for Students as Partners, 2025
We present a case study of co-creating a policy for the use of generative artificial intelligence (AI) in a writing course at Georgetown University in Washington, DC. Students and faculty in two sections of a required 1st-year writing course worked to draft and respond to a policy about AI and then reflected on the experience. Student reflections…
Descriptors: Artificial Intelligence, Computer Software, Policy Formation, Writing Instruction
Sunil Hazari – Marketing Education Review, 2025
Artificial intelligence tools such as ChatGPT have emerged as a disruptive force in higher education. Stakeholders are debating the integration and relevance of AI in education to improve student learning outcomes. Further investigation is needed to determine not only the pedagogical impact but also address issues such as ethics, bias, and…
Descriptors: Marketing, Business Education, Artificial Intelligence, Outcomes of Education
Sarah L. Rodriguez; Amanda Ross – Computer Science Education, 2025
Background and Context: Hispanic-serving community colleges represent promising sites for broadening participation and enhancing computing interests around AI. Objectives: This study investigated how students enrolled in an introductory AI computing course at an HSCC made meaning of their course experiences and how they described their interest in…
Descriptors: Artificial Intelligence, Computer Software, Computer Science Education, Technology Integration
Tolulope O. Sulaimon; Sheila Alber-Morgan; Marcella M. Gallmeyer – Insights into Learning Disabilities, 2025
The active processing theory of self-questioning instruction suggests that comprehension occurs when students generate questions during reading because it allows students to engage in deeper processing of the text as their attention is drawn to the content. Four secondary students with reading fluency and comprehension deficit were taught to…
Descriptors: Secondary School Students, Reading Difficulties, Reading Fluency, Reading Comprehension
Amanda D. Damiano; Eitel J. M. Lauría; Christian Sarmiento; Ningjing Zhao – Journal of Educational Technology Systems, 2024
This project explored perceptions of ChatGPT in higher education among students and faculty to assess teaching and learning implications of this Generative Artificial Intelligence (Generative AI)-based novel tool. Two theoretical frameworks inspired the project, including "Diffusion of Innovation theory" (Rogers, 1962) and…
Descriptors: Artificial Intelligence, Synchronous Communication, Technology Uses in Education, Higher Education
Tulegen Botagariyev; Svetlana Kubiyeva; Aiymgul Akhmetova; Petr Tissen; Nurolla Mambetov; Zhaxykul Sadykova – Interactive Learning Environments, 2024
This study aims to generate instructions for physical education teachers on how to improve physical fitness of students and enhance their physical development using digital applications. For this, the physical development levels of middle school students were analyzed. The secondary goal is to determine how effective the digital learning tools are…
Descriptors: Foreign Countries, Physical Education, Physical Education Teachers, Physical Fitness
Jonee Amanda Meiser – ProQuest LLC, 2024
By law, colleges and universities must provide people with disabilities with access to their digital activities, services, and programs. The problem is that when software development teams build digital educational products and services that support higher education institutions inaccessibly, they may exclude students with certain types of…
Descriptors: Compliance (Legal), Accessibility (for Disabled), Access to Computers, Colleges
Tapas Sudan; Arjun Hans; Rashi Taggar – Interactive Technology and Smart Education, 2024
Purpose: The intricate dynamics of ChatGPT adoption among Indian students are discussed while exploring the factors outlined by Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). By assessing these factors, this study aims to unravel their impact on the behavioral intention to use ChatGPT. Design/methodology/approach: While evaluating…
Descriptors: Transformative Learning, Technology Uses in Education, Artificial Intelligence, Computer Software
Wajeeh Daher; Faaiz Gierdien – African Journal of Research in Mathematics, Science and Technology Education, 2024
Texts generated by artificial intelligence agents have been suggested as tools supporting students' learning. The present research analyses the language of texts generated by ChatGPT when solving mathematical problems related to the quadratic equation. We use the functional grammar theoretical framework that includes three meta-functions: the…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Problem Solving
Gürhan Durak; Serkan Çankaya; Damla Özdemir; Seda Can – International Review of Research in Open and Distributed Learning, 2024
This study aimed to present a comprehensive bibliometric analysis of 1,726 academic studies from among those indexed by the Web of Science database platform between 2013 and 2023, to provide a general framework for the concept of artificial intelligence in education (AIEd). Trends in publications and citations across countries, institutions,…
Descriptors: Educational Change, Teaching Methods, Learning Processes, Artificial Intelligence
Fernando Castelló-Sirvent; Vanessa Roger-Monzó; Ricardo Gouveia-Rodrigues – Electronic Journal of e-Learning, 2024
In recent years, academic interest in new developments in Artificial Intelligence (AI) and its ethical challenges in higher education has increased. The new emerging technologies that have become popular among the university community in recent times require an exhaustive study to evaluate their impact on academic integrity and plagiarism. The…
Descriptors: Ethics, Higher Education, Artificial Intelligence, Computer Software

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