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Oriane Pierrès; Alireza Darvishy; Markus Christen – Education and Information Technologies, 2025
The release of a free generative artificial intelligence (GAI), ChatGPT, in November 2022 has opened up numerous opportunities for students with disabilities in higher education. While the transformative impact of GAI on teaching and learning in general is being debated intensively, little attention has been given to its potential for fostering or…
Descriptors: Artificial Intelligence, Computer Uses in Education, College Students, Students with Disabilities
Chengliang Wang; Xiaojiao Chen; Zhebing Hu; Sheng Jin; Xiaoqing Gu – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, as a cutting-edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and educational equity. Existing studies have not fully explored learners' intentions to adopt artificial intelligence generated content (AIGC) technology, highlighting the need…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Computer Uses in Education
Yining Zhao; Yavor Bozhkov; Xiaolei Chen; Katharina Fuchs; Michael Buchfelder; Lars Fester; Daniela Souza de Oliveira; Alessandro Del Vecchio; Thomas Kinfe – Educational Technology Research and Development, 2025
To date, neuroanatomy education courses are still based on two-dimensional (2D) illustrations combined with cadaver dissections. To gain a more comprehensive understanding of neuroanatomy, we offered mixed reality experience using a head-mounted device (HMD) for medical students during their neuroanatomy course. This pilot study´s purpose was to…
Descriptors: Anatomy, Medical Education, Computer Simulation, Computer Uses in Education
Brian E. Clauser; Victoria Yaneva; Peter Baldwin; Le An Ha; Janet Mee – Applied Measurement in Education, 2024
Multiple-choice questions have become ubiquitous in educational measurement because the format allows for efficient and accurate scoring. Nonetheless, there remains continued interest in constructed-response formats. This interest has driven efforts to develop computer-based scoring procedures that can accurately and efficiently score these items.…
Descriptors: Computer Uses in Education, Artificial Intelligence, Scoring, Responses
Christine M. Pribbenow; D'Andrew Harrington; Chinmay P. Rele; Katie M. Sandlin; Wilson Leung; David Lopatto; Laura K. Reed – Journal of Microbiology & Biology Education, 2025
The Genomics Education Partnership (GEP; thegep.org) is a collaboration of more than 260 faculty from over 200 colleges and universities across the continental United States and Puerto Rico, all of whom are engaged in bringing Course-based Undergraduate Research Experiences (CUREs) centered in genomics and bioinformatics to their students. The…
Descriptors: Undergraduate Students, Genetics, Student Research, Computer Uses in Education
Rune Johan Krumsvik – Education and Information Technologies, 2025
This exploratory case study examines how AI technologies, specifically a GPT-4-based synopsis chatbot, can serve as a sparring partner for doctoral students in Norway. Despite favourable conditions, only two-thirds of Norwegian PhD candidates complete their doctorates, partly due to challenges with article-based dissertations that require a…
Descriptors: Doctoral Students, Artificial Intelligence, Academic Language, Computer Uses in Education
Cynthia Y. Delgado; Richard E. Mayer – Journal of Educational Computing Research, 2025
This study examined whether answering focused explanative questions during pauses in an immersive virtual reality (IVR) lesson on pipetting procedures could enhance learning. The goal was to take a generative learning activity, known to be effective for declarative knowledge with conventional media, to the context of procedural knowledge with…
Descriptors: Computer Simulation, Computer Uses in Education, Laboratory Procedures, Learning Activities
Joseph Lobo; Genesis Dimalanta; Conrad Buerkley; Susan Manuel; Amiel Alfonso; Celter Cris Torres; Gerald Suba – Journal of Educators Online, 2025
This study adapted Davis' (1989) Technology Acceptance Model (TAM) to investigate what influences students' attitudes on using Microsoft Teams (MS Teams) as a learning tool for Physical Education (PE). Partial Least Square-Structural Equation Modeling (PLS-SEM) analysis of survey responses from 1,916 Mabalacat City College students enrolled in an…
Descriptors: Physical Education, Computer Software, Instructional Effectiveness, Computer Uses in Education
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
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
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
Ludovica Mastrobattista; María Muñoz-Rico; José Antonio Cordón-García – Journal of Technology and Science Education, 2024
The main objective of this article is to highlight the importance of training in digital tools at the university level to foster the development of innovative and efficient data analysis from a scientific perspective. In an increasingly digitised world, the acquisition of digital skills has become a fundamental requirement for success in various…
Descriptors: Digital Literacy, Data Analysis, Computer Software, Computer Uses in Education
Nancy Plumer – ProQuest LLC, 2024
The study helped investigate Peruvian Higher Education Institutions' (PHEI) security posture and how the adoption of modern technology enhanced the operational processes to reduce cyber threats. The purpose of the research was based on research questions to assess access controls effectiveness, infrastructure security gaps, emerging technology…
Descriptors: Computer Security, Universities, Foreign Countries, Computer Uses in Education
Salomé Cojean; Manon Grand – British Journal of Educational Psychology, 2024
Background: Taking notes during learning has benefits both during class (through writing things down to encode information) and after class (by using written notes as external storage for revision). Comparisons of note-taking methods (i.e., using paper or a computer) have mainly shown that paper leads to better learning. However, previous studies…
Descriptors: Notetaking, College Students, Preferences, Writing Strategies