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Shaofeng Wang; Zhuo Sun – Education and Information Technologies, 2025
Artificial Intelligence (AI) is increasingly being integrated into educational settings, with Intelligent Personal Assistants (IPAs) playing a significant role. However, the psychological impact of these AI assistants on fostering active learning behaviors needs to be better understood. This research study addresses this gap by proposing a…
Descriptors: Artificial Intelligence, Active Learning, Redundancy, Role
Alexandre Machado; Kamilla Tenório; Mateus Monteiro Santos; Aristoteles Peixoto Barros; Luiz Rodrigues; Rafael Ferreira Mello; Ranilson Paiva; Diego Dermeval – Smart Learning Environments, 2025
Researchers are increasingly interested in enabling teachers to monitor and adapt gamification design in the context of intelligent tutoring systems (ITSs). These contributions rely on teachers' needs and preferences to adjust the gamification design according to student performance. This work extends previous studies on teachers' perception of…
Descriptors: Faculty Workload, Educational Resources, Artificial Intelligence, Technology Uses in Education
Fahmi Zaidi Abdul Razak; Mohd Amli Abdullah; Badli Esham Ahmad; Wan Hashridz Rizal Bin Wan Abu Bakar; Nur Aulia Fahada Binti Misaridin – Education and Information Technologies, 2025
The utilization of artificial intelligence (AI) among students is rapidly gaining prominence worldwide. However, Malaysia lags in terms of research and information in this area. This quantitative study aims to identify the factors that contribute to the adoption of AI among postgraduate students. The study focuses on the postgraduate student…
Descriptors: Foreign Countries, Higher Education, Artificial Intelligence, Technology Uses in Education
Tanya Linden; Kewei Yuan; Antonette Mendoza – Information Systems Education Journal, 2025
Generative Artificial Intelligence (Gen AI) is making its impact on all levels of education. However, these tools must be used with caution, and it is up to instructors to teach their students responsible use of Gen AI. Therefore, there is a need to understand views of teaching staff on how to integrate Gen AI into education to maximize its…
Descriptors: Barriers, Artificial Intelligence, Computer Mediated Communication, Technology Uses in Education
Julie Eng; Heather Umphlett; Jocelyn Gilchrist; Alicia Howell; Mary Ann Howell; Wendy Miller-Edwards; Laurel Pope – Inquiry: The Journal of the Virginia Community Colleges, 2025
The country, the Commonwealth of Virginia, and Virginia Community College System initiatives all promote generative AI within education. It is a topic of great concern and interest for higher education instructors, yet at the same time many faculty members feel uncertain about effectively integrating it into class material. To further add pressure…
Descriptors: Artificial Intelligence, Community Colleges, Educational Practices, Technology Uses in Education
Abdelmohsen Hamed Okela – Journalism and Mass Communication Educator, 2025
Artificial intelligence (AI) is revolutionizing journalism, necessitating a reevaluation of journalism education. The mixed-method study employs the Unified Theory of Acceptance and Use of Technology (UTAUT) to investigate the factors influencing AI adoption among Egyptian journalism professors from eight universities. Findings indicate that…
Descriptors: Artificial Intelligence, Journalism Education, Foreign Countries, Technology Uses in Education
Joachim Schwarz – Teaching Statistics: An International Journal for Teachers, 2025
This study explores the use of generative AI, specifically ChatGPT, in statistical data analysis and its implications for statistics education at universities of applied sciences. This paper begins with first discussing the future division of labor between humans and machines in the context of statistical data analyses following the widespread…
Descriptors: Statistics Education, Artificial Intelligence, Computer Software, Teaching Methods
Kylie L. Anglin – Annenberg Institute for School Reform at Brown University, 2025
Since 2018, institutions of higher education have been aware of the "enrollment cliff" which refers to expected declines in future enrollment. This paper attempts to describe how prepared institutions in Ohio are for this future by looking at trends leading up to the anticipated decline. Using IPEDS data from 2012-2022, we analyze trends…
Descriptors: Validity, Artificial Intelligence, Models, Best Practices
Mary L. Churchill, Editor – Johns Hopkins University Press, 2025
The future of higher education is in crisis. Between falling undergraduate enrollment, rising student debt, program elimination, and widespread faculty burnout, families across America are left wondering: Is college worth it? In "The Conversation on Higher Ed," editor Mary Churchill explores the complicated landscape of academic life in…
Descriptors: Higher Education, Educational Change, Freedom of Speech, Artificial Intelligence
Abubaker Qutieshat – SpringerBriefs in Education, 2025
This book is multi-dimensional exploration of Ivan Illich's critique of institutionalized education. It dissects, analyzes, and understands the implications of his critique for the future of education in a world increasingly influenced by technology, particularly artificial intelligence (AI). The book outlines the problems with current educational…
Descriptors: Artificial Intelligence, Higher Education, Technology Uses in Education, Educational Technology
Wu Xu; Zhang Wei; Peng Yan – European Journal of Education, 2025
This study investigates the use of Large Language Models (LLMs) by undergraduates majoring in Instrumentation and Control Engineering (ICE) at University of Shanghai for Science and Technology. We conducted a questionnaire survey to assess the awareness and usage habits of these LLMs among ICE undergraduates in ICE courses, focusing on the model…
Descriptors: Artificial Intelligence, Natural Language Processing, Engineering Education, Majors (Students)
Hakan Güldal; Emrah Oguzhan Dinçer – Education and Information Technologies, 2025
The purpose of this study was to investigate student perceptions and acceptance of a rule-based educational chatbot in higher education, employing the TAM (Technology Acceptance Model) framework. The researchers developed a rule-based chatbot for this purpose and examined the students' technology acceptance using qualitative research methods.…
Descriptors: Foreign Countries, Artificial Intelligence, College Students, Simulation
Robert Godwin-Jones – Language Learning & Technology, 2025
Less commonly taught languages (LCTLs) have traditionally lagged behind in terms of the availability of learning/teaching materials and of appropriate pedagogical models. For many languages, online tools, courses, and digital archives have been developed in recent years that offer opportunities for both formal instruction and self-study. Now the…
Descriptors: Technology Integration, Second Language Instruction, Language Minorities, Artificial Intelligence
Sheng Bi; Zeyi Miao; Qizhi Min – IEEE Transactions on Learning Technologies, 2025
The objective of question generation from knowledge graphs (KGQG) is to create coherent and answerable questions from a given subgraph and a specified answer entity. KGQG has garnered significant attention due to its pivotal role in enhancing online education. Encoder-decoder architectures have advanced traditional KGQG approaches. However, these…
Descriptors: Grammar, Models, Questioning Techniques, Graphs
Craig Johnson; Emad Mohamed – Action Learning: Research and Practice, 2025
This paper proposes action learning has a role to play in advancing responsible AI. Despite the recent surge in attention towards artificial intelligence, predominantly focusing on its technological and commercial aspects, the social dimensions have often been overlooked. Action learning, known for fostering interdisciplinary discourse, is…
Descriptors: Experiential Learning, Artificial Intelligence, Interdisciplinary Approach, Cooperative Learning