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Stephen J. Lind – Journal of Workplace Learning, 2025
Purpose: This study aims to investigate the effectiveness of widely adopted but under-studied synthetic humanlike spokespersons (SHS) compared to organic human spokespersons in workplace training videos. The primary aim is to evaluate whether employees will rate training videos more negatively when they perceive their trainer to be synthetic such…
Descriptors: Job Training, Trainees, Artificial Intelligence, Video Technology
Elif Ozturk – Journal of Education in Science, Environment and Health, 2025
This study examines the pedagogical, ethical, and political dimensions of artificial intelligence (AI) in early childhood STEM education from a theoretical perspective. As digital technologies become increasingly prevalent in education, AI applications offer significant opportunities in areas such as personalized learning experiences, game-based…
Descriptors: Early Childhood Education, STEM Education, Artificial Intelligence, Game Based Learning
Ishaya Gambo; Faith-Jane Abegunde; Omobola Gambo; Roseline Oluwaseun Ogundokun; Akinbowale Natheniel Babatunde; Cheng-Chi Lee – Education and Information Technologies, 2025
The current educational system relies heavily on manual grading, posing challenges such as delayed feedback and grading inaccuracies. Automated grading tools (AGTs) offer solutions but come with limitations. To address this, "GRAD-AI" is introduced, an advanced AGT that combines automation with teacher involvement for precise grading,…
Descriptors: Automation, Grading, Artificial Intelligence, Computer Assisted Testing
Hongfeng Zhang; Fanbo Li; Xiaolong Chen – Journal of Educational Computing Research, 2025
This study addresses the gap in understanding graduate students' sustained engagement behavior (SEB) with generative artificial intelligence (GAI) by integrating the Technology Acceptance Model (TAM), Expectation Confirmation Theory (ECT), and Theory of Reasoned Action (TRA) into a comprehensive embedding model. It introduces the Technology…
Descriptors: Graduate Students, Artificial Intelligence, Learner Engagement, Foreign Countries
Swarupa Asish Dash; S. Vijayakumar Bharathi – Journal of Educators Online, 2025
In today's fast-paced digital world, understanding Artificial Intelligence (AI) is crucial for management students. This paper explores using the Turing test, a famous method to see if AI can act like a human, as a key tool in management education. The focus is on how this test can help students learn about AI more deeply. This paper introduces an…
Descriptors: Artificial Intelligence, Business Education, Digital Literacy, Critical Thinking
Seyedeh Toktam Masoumian Hosseini; Karim Qayumi; Ata Pourabbasi; Elnaz Haghighi; Babak Sabet; Alireza Koohpaei; Zahra Shafiei; Mohsen Masoumian Hosseini; Parniya Nemati – Discover Education, 2025
Background: This study aims to explore the diverse applications of contemporary technological innovations in education and to propose effective strategies for their integration into the curriculum, addressing the complexities and collaborative efforts required for meaningful learning experiences. Methods: This systematic review examines the…
Descriptors: Technology Integration, Educational Technology, Artificial Intelligence, Computer Simulation
Zhengjun Li; Huayang Kang – International Journal of Web-Based Learning and Teaching Technologies, 2025
The rapid development of higher education in China has significantly advanced physical education within universities, contributing to students' comprehensive development and national health improvement. However, the expansion of university enrollment has introduced challenges such as a decrease in per capita sports resources and declines in…
Descriptors: Physical Education Teachers, Teacher Effectiveness, Physical Education, Evaluation Methods
Simon Ntumi – Discover Education, 2025
This study investigated the impact of AI-powered adaptive testing on student academic performance and test anxiety, comparing its effectiveness to traditional testing methods. Using a quantitative research approach, hierarchical regression analysis was employed to examine the influence of adaptive testing on student outcomes, controlling for…
Descriptors: Adaptive Testing, Computer Assisted Testing, Artificial Intelligence, Test Anxiety
Christina Costa; Nahid Husain-Habib; Alyssa Reiter – Teaching of Psychology, 2025
Background: Integrating artificial intelligence (AI) into psychological education represents an opportunity in teaching methodologies, offering possibilities for instructors. Despite its potential, there is a significant gap in knowledge regarding how psychology instructors implement AI tools in their teaching practices. Objective: The primary…
Descriptors: Technology Integration, Technology Uses in Education, Artificial Intelligence, Psychology
Tesia Marshik; Christopher McCracken; Bryan Kopp; Morgan O'Marrah – Teaching of Psychology, 2025
Background: Artificial intelligence (AI) applications have recently become more powerful and accessible. There has been much discussion about the potential impacts of AI on learning and sample applications. Yet, little research exists on how and to what extent AI is being used in educational contexts. Objective: The purpose of this study was to…
Descriptors: Student Attitudes, Teacher Attitudes, Artificial Intelligence, Undergraduate Students
Ronald Mtenga; Mathias Bode; Radwa Khalil – Journal of Creative Behavior, 2025
Creative thinking stems from the cognitive process that fosters the creation of new ideas and problem-solving solutions. Artificial intelligence systems and neural network models can reduce the intricacy of understanding creative cognition. For instance, the generation of ideas could be symbolized as patterns of binary code in which clusters of…
Descriptors: Inhibition, Creative Thinking, Cognitive Processes, Concept Formation
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)

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