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Laura Landon; Nicole Grames; Maggie Gannon; Addison Jarus; Annie Trezza – Journal of Occupational Therapy Education, 2025
The integration of artificial intelligence (AI) in higher education has garnered much attention, prompting educators to thoughtfully examine its implementation within their curricula. This study explores the perceptions of occupational therapy (OT) students regarding the future integration of a novel, course-specific Anatomy AI chatbot: an…
Descriptors: Occupational Therapy, Allied Health Occupations Education, Artificial Intelligence, Computer Uses in Education
Ann-Marie Gresele; Natasha Anne Rappa; Wade Ellis; Ellin Sears; Rachael Kostusik – Issues in Educational Research, 2025
The Australian Teacher Education Ministerial Advisory Group (TEMAG) highlighted critical areas for improvement in teacher education, namely, effective pedagogies, assessment and feedback, classroom management, and collaborating with parents and the wider community. This paper describes one Australian university's implementation of a four-part…
Descriptors: Preservice Teacher Education, Computer Simulation, Computer Uses in Education, Preservice Teachers
Natalie Lander; Tao Zhou; Anna Timperio; Lisa M. Barnett; Yuxin Zhang – Journal of Motor Learning and Development, 2025
Purpose: This study developed and evaluated a video-based machine learning model to automate motor competence assessment and created a user-friendly web platform for teachers and coaches. Methods: A total of 1,063 children (mean age: 7.8 years) performed seven motor skills, recorded on video and assessed by experts using the Test of Gross Motor…
Descriptors: Artificial Intelligence, Computer Uses in Education, Motor Development, Children
Kevin J. Mallary; Eric J. Moore; Adam L. McClain – New Directions for Adult and Continuing Education, 2025
This article explores the transformative potential of integrating Universal Design for Learning (UDL) with generative artificial intelligence (GenAI) in adult and continuing higher education. By aligning UDL's principles with GenAI's capabilities in content generation, personalization, and accessibility, adult educators can design uniquely…
Descriptors: Adult Education, Continuing Education, Higher Education, Access to Education
David John Matthews; Alex Wheeler; Haydn A. Insley; Chris Mackintosh – Issues in Science and Technology Librarianship, 2025
This paper considers the educational benefits of ongoing collaboration between university lecturers and librarians supporting students within science, technology, engineering, and mathematics (STEM). The particular focus of the paper is the collaborative provision of guidance on the appropriate and ethical use of generative artificial intelligence…
Descriptors: Artificial Intelligence, STEM Education, Ethics, Librarian Teacher Cooperation
Hyunkyoung Yoon; Jihye Hwang; Kyungwon Lee; Kyeong Hah Roh; Oh Nam Kwon – ZDM: Mathematics Education, 2024
In this exploratory study, we investigate undergraduate students' engagement with generative Artificial Intelligence (genAI) in proving mathematical statements. We selected six mathematical statements to conduct interviews with three students. We present the emergent framework, Students' Interactive Proving Experience with AI (SIPE-AI), which…
Descriptors: Artificial Intelligence, Computer Uses in Education, Mathematical Logic, Ethics
José M. Fernández-Batanero; Marta Montenegro-Rueda; José Fernández-Cerero; Eloy López Menéses – Interactive Technology and Smart Education, 2024
Purpose: The purpose of this study is to determine the characteristics of the studies in terms of country, participant profile and methodology, as well as to determine what the Internet of Things (IoT) is currently contributing to higher education. Design/methodology/approach: The study was developed following the methodology supported by the…
Descriptors: Internet, Higher Education, Educational Technology, Information Technology
Edwin Chng – Journal of Science Education and Technology, 2024
With teachers continuing to report challenges in classroom management and difficulties in implementing scientific inquiry, the current manner in which science practical work is conducted in schools suggests the need for added teacher support. In this regard, we can leverage computer vision to provide instructional support by relieving teachers of…
Descriptors: Artificial Intelligence, Science Education, Computer Uses in Education, Science Teachers
Denis Shchepakin; Sreecharan Sankaranarayanan; Dawn Zimmaro – International Educational Data Mining Society, 2024
Bayesian Knowledge Tracing (BKT) is a probabilistic model of a learner's state of mastery for a knowledge component. The learner's state is a "hidden" binary variable updated based on the correctness of the learner's responses to questions corresponding to that knowledge component. The parameters used for this update are inferred/learned…
Descriptors: Algorithms, Bayesian Statistics, Probability, Artificial Intelligence
Pettersson, Anna F.; Karlgren, Klas; Al-Saadi, Jonathan; Hjelmqvist, Hans; Meister, Björn; Zeberg, Hugo; Silén, Charlotte – Anatomical Sciences Education, 2023
Learning anatomy holds specific challenges, like the appreciation of three-dimensional relationships between anatomical structures. So far, there is limited knowledge about how students construct their understanding of topographic anatomy. By understanding the processes by which students learn anatomical structures in 3D, educators will be better…
Descriptors: Anatomy, Visualization, Computer Simulation, Computer Uses in Education
Sisi Fan – International Journal of Information and Communication Technology Education, 2023
The purpose of this article is to discuss the innovation and development of university education management informationization construction in the context of big data. Through a comprehensive comparison of innovative and traditional university education management information systems, it reveals the advantages of the innovative model in terms of…
Descriptors: Management Information Systems, College Administration, Innovation, Data
Charles A. Lucy – Journal of Chemical Education, 2023
A survey of 21 free online buffer calculators and apps found only 2 that correctly calculated pH under conditions where [H[superscript +]] and [OH[superscript -]] cannot be ignored in the ratio term of the Henderson-Hasselbalch equation. Traditional guidelines for when use of formal concentrations is acceptable were found to be flawed. For acidic…
Descriptors: Science Education, Chemistry, Calculators, Web Sites
Xin Cui; Zhi-Qiang Ma; Xin-Ya You; Yuchen Chen; Jia-Jia Yao; Yun-Fang Tu – Educational Technology & Society, 2025
Collaborative argumentation allows groups to express, criticize, and integrate arguments to achieve the co-construction of collective knowledge. However, students often face challenges when proposing diversified arguments, gathering evidence, and rebutting others reasonably. Incorporating generative conversational agents (GCAs) into collaborative…
Descriptors: Persuasive Discourse, Rhetoric, Artificial Intelligence, Computer Uses in Education
Andrew Cavanaugh; D. Joel Whalen – Business and Professional Communication Quarterly, 2025
This article presents a curated collection of nine teaching innovations presented at the Association for Business Communication 89th conference in the "oil capital of the world," Tulsa, Oklahoma, as well as online, in October 2024. Many of the MFA presenters demonstrated how AI can be used, integrated, and analyzed in business…
Descriptors: Artificial Intelligence, Instructional Innovation, Business Communication, Assignments
Nazir Ahmed Jogezai; Fozia Ahmed Baloch; Muhammad Jaffar; Gulab Khilji – Turkish Online Journal of Distance Education, 2025
This study aims to understand how faculty members at higher education institutions in Pakistan respond to the opportunities and challenges associated with using GAI in teaching and learning. The research employed a phenomenological approach within the qualitative research tradition. Data were collected from 33 university faculty members through…
Descriptors: College Faculty, Artificial Intelligence, Teacher Attitudes, Foreign Countries

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