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Faiz Subhani; Subayal Aftab Khan; Maqsood Ahmad Sandhu; Muhammad Farrukh Shahzad – TechTrends: Linking Research and Practice to Improve Learning, 2025
The adoption of generative AI in education has revolutionized science by producing human-like texts through contextual understanding, as OpenAI ChatGPT shows. OpenAI's widely used large language model, such as ChatGPT, has become quite popular, especially in higher education. This study examines different factors influencing the adoption and…
Descriptors: Artificial Intelligence, Higher Education, Foreign Countries, College Students
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Caitlin Riegel; Angel Y. Ford; Jodie L. Brinkmann; Ginger Christian; Danielle Weinstein; Carol S. Cash – Issues and Trends in Learning Technologies, 2025
The rapid expansion of Artificial Intelligence (AI) is affecting many industries and organizations, including educational institutions of all levels. The purpose of this mixed methods multi-state study was to investigate K12 teachers' and administrators' knowledge of AI, use of AI, perceptions of AI, and concerns around this emerging technology.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Elementary Secondary Education, Knowledge Level
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Ellie Ingle; Andrew Williams – International Journal for Students as Partners, 2025
This case study reports on a co-creation initiative that explored the use of generative artificial intelligence (AI) technologies in the context of higher education assessments. The AI Co-Creators project aimed to promote dialogue between students and staff on the impact of AI with the objective of using AI tools more effectively. The case study…
Descriptors: Teacher Student Relationship, Test Construction, Artificial Intelligence, Man Machine Systems
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Haiyang Xing; Yu Zhang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This paper investigates a flipped classroom teaching model that integrates deep learning into the design of college physical education instruction. By adjusting the time schedule inside and outside the classroom, the model shifts the focus of teaching to students, and the teacher's role changes from knowledge transmitter to learning guide. The…
Descriptors: Physical Education, Flipped Classroom, Higher Education, Independent Study
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Yibing Wang; Yunxiang Pang; Siji Wang; Yiqun Pang; Xiaobing Wang – International Journal of Web-Based Learning and Teaching Technologies, 2025
To target improving the physical fitness for female college students and to meet the individualized needs of different subgroups. A total of 6987 female college students from a teacher training college were assessed for physical fitness. Their fitness indices were analyzed using K-means clustering and GBDT regression algorithms. Based on physical…
Descriptors: Artificial Intelligence, Females, College Students, Physical Fitness
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Ellen Larsen; Cecily Jensen-Clayton; Elizabeth Curtis; Tony Loughland; Hoa T. M. Nguyen – Professional Development in Education, 2025
Teachers are dealing with a profession characterised by rapidly evolving educational research, societal shifts, and political agendas. They are faced with unforeseen events that create educational futures that are yet unknown, with the global pandemic a clear example. Mentoring has a long history as an approach to support teachers, particularly…
Descriptors: Faculty, Development, Mentors, Futures (of Society)
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Marc Vinyard; Mark Roosa – portal: Libraries and the Academy, 2025
This study examined undergraduate students' use of generative artificial intelligence (GAI) for research assignments and its intersection with traditional library databases. Semi-structured interviews with 16 students revealed GAI is primarily used for grammar, summarizing, brainstorming, and locating sources. While students value GAI for…
Descriptors: Undergraduate Students, Student Attitudes, Student Research, Artificial Intelligence
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Sasha Nikolic; Thomas F. Suesse; Sarah Grundy; Rezwanul Haque; Sarah Lyden; Sulakshana Lal; Ghulam M. Hassan; Scott Daniel; Marina Belkina – European Journal of Engineering Education, 2025
Generative Artificial Intelligence (GenAI), such as ChatGPT, is reshaping educational paradigms by offering unparalleled benefits and introducing challenges, particularly academic integrity. This study investigates teaching laboratory practices (traditional, recorded, remote, simulation and virtual), considered an academic safe haven due to its…
Descriptors: Evaluation Methods, Learning Laboratories, Educational Practices, Learning Objectives
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Wesley Morris; Langdon Holmes; Joon Suh Choi; Scott Crossley – International Journal of Artificial Intelligence in Education, 2025
Recent developments in the field of artificial intelligence allow for improved performance in the automated assessment of extended response items in mathematics, potentially allowing for the scoring of these items cheaply and at scale. This study details the grand prize-winning approach to developing large language models (LLMs) to automatically…
Descriptors: Automation, Computer Assisted Testing, Mathematics Tests, Scoring
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Alex Goslen; Yeo Jin Kim; Jonathan Rowe; James Lester – International Journal of Artificial Intelligence in Education, 2025
The development of large language models offers new possibilities for enhancing adaptive scaffolding of student learning in game-based learning environments. In this work, we present a novel framework for automatic plan generation that utilizes text-based representations of students' actions within a game-based learning environment, Crystal…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Game Based Learning
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Xin Meng; Bo Yang; Lianrong Yang; Jian Zhang; Ying Liu – International Journal of Science and Mathematics Education, 2025
The rapid advancement of artificial intelligence (AI) has presented transformative opportunities for education, particularly in addressing the limitations of traditional lecture-based teaching methods commonly employed in large-class settings. While these methods efficiently deliver content, they often fail to foster active engagement, critical…
Descriptors: Artificial Intelligence, Student Centered Learning, Teaching Methods, Large Group Instruction
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Muhammad Khalilur Rahman; Md Arafat Hossain; Noor Azizi Ismail; Mohammad Shahadat Hossen; Moniya Sultana – Interactive Technology and Smart Education, 2025
Purpose: This study aims to investigate the key factors influencing students' adoption of artificial intelligence (AI) chatbot applications in higher education. It further examines the mediating and moderating role of AI chatbots and tech readiness in determining the effect of perceived usefulness, subjective norms, tech simplicity and tech…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Readiness
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Manish Malik – Journal of Learning Development in Higher Education, 2025
Higher education staff and students are beginning to emerge from the liminal space created by the exponential rise in generative artificial intelligence technologies such as large language models. Both groups exhibit a low or developing understanding of the issues related with the use of such tools. On one hand, staff in many institutions are…
Descriptors: Higher Education, Artificial Intelligence, Technological Literacy, College Faculty
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Chunyu Piao; Jiwei Zhang; Jing Lu – Educational Measurement: Issues and Practice, 2025
In educational assessments, detecting aberrant test-taking behaviors is crucial for ensuring test validity and reliability. We propose a deep learning method based on a one-dimensional convolutional neural network (1D-CNN) combined with a sliding window technique, and detect aberrant behaviors by analyzing responses and response times. To validate…
Descriptors: Student Behavior, Test Wiseness, Computer Assisted Testing, Item Response Theory
Victor R. Lee; Denise Pope; Sarah Miles – Phi Delta Kappan, 2025
Cheating with AI is the proverbial elephant in the room, with the widespread assumption that the amount of cheating has exploded since the appearance of generative AI tools like ChatGPT. However, the research on cheating tells a more complicated story. For high schools, cheating levels did not significantly increase after the release of ChatGPT.…
Descriptors: Cheating, Artificial Intelligence, Technology Uses in Education, High School Students
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