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Direct linkJoaquín Rodríguez-Ruiz; Inmaculada Marín-López; Raquel Espejo-Siles – Education and Information Technologies, 2025
The present study aimed to analyse if self-control, self-esteem and self-efficacy are related to the use of artificial intelligence tools. These tools are being incorporated to educational practices, but there is a lack of empirical evidence about the relation between artificial intelligence use by students and their personal and psychological…
Descriptors: Artificial Intelligence, Self Control, Self Esteem, Self Efficacy
Aaron S. Veenstra; Marcy Wilder; Farhin Shimu; Luke Schlauder; Francesca Dousdebés – Journalism and Mass Communication Educator, 2025
This study investigates how journalism students perceive and use large language models (LLMs), such as ChatGPT, their understanding of the technology, and their ethical considerations. Findings indicate that while students see LLMs as inevitable tools in their future careers, they often misunderstand how these tools generate content, in part…
Descriptors: Journalism Education, Artificial Intelligence, Ethics, Student Attitudes
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
Harry Barton Essel; Dimitrios Vlachopoulos; Henry Nunoo-Mensah; John Opuni Amankwa – British Journal of Educational Technology, 2025
Conversational user interfaces (CUI), including voice interfaces, which allow users to converse with computers via voice, are gaining wide popularity. VoiceBots allow users to receive a response in real-time, regardless of the communication device. VoiceBots have been explored in fields such as customer service to automate repetitive queries and…
Descriptors: Foreign Countries, Artificial Intelligence, Program Effectiveness, Undergraduate Students
Luis Medina-Gual; José-Luis Parejo – European Journal of Education, 2025
The present research explores AI's impact on education among Mexican undergraduate students through a non-experimental, correlational, cross-sectional study. A validated public questionnaire was distributed to 840 students via Google Forms from February to May 2024. Analysis revealed significant AI exposure and use patterns, primarily influenced…
Descriptors: Artificial Intelligence, Teaching Methods, Ethics, Learning Processes
Download full textMaimoona Al Abri; Abdullah Al Mamari; Zakria Al Marzouqi – Journal of Education and e-Learning Research, 2025
This study aims to explore the implications of using AI-generative tools (tools for generative AI (GAI)) in teaching and learning practices in higher education settings. This exploratory study employs a mixed-methods approach. Data was collected through focus-group discussions, participants' reflections and questionnaires. The participants of this…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Undergraduate Students
Jinhee Kim; Young Hoan Cho – Asia Pacific Journal of Education, 2025
Educators expect artificial intelligence (AI) to augment student capabilities and rapidly transform teaching and learning practices. However, little is known about students' perceptions of AI and what they expect from AI in student-AI teaming. There is a lack of holistic understanding of the nature, effects, and areas of improvement in teamwork by…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Attitudes, Expectation
Jon-Philippe K. Hyatt; Elisa Jayne Bienenstock; Carla M. Firetto; Elizabeth R. Woods; Robert C. Comus – Advances in Physiology Education, 2025
Generative artificial intelligence (AI) large language models have become sufficiently accessible and user-friendly to assist students with course work, studying tactics, and written communication. AI-generated writing is almost indistinguishable from human-derived work. Instructors must rely on intuition/experience and, recently, assistance from…
Descriptors: Artificial Intelligence, Technology Uses in Education, STEM Education, Writing Skills
Nicole B. Reinke; Ann L. Parkinson; Georgia R. Kafer – Advances in Physiology Education, 2025
Freely accessible generative artificial intelligence (GenAI) poses challenges to physiology education regarding learning and academic integrity. Although many studies have explored the capabilities of GenAI to complete assessments, few have implemented educative activities to highlight GenAI risks and benefits or explored physiology students'…
Descriptors: Tutoring, Artificial Intelligence, Technology Uses in Education, Student Attitudes
Mengrong Han; Hasri Mustafa; Saira Kharuddin – Journal of Pedagogical Research, 2025
This study investigates the adoption and usage of artificial intelligence (AI) technologies among Chinese undergraduate accounting students, focusing on the roles of Social Influence (SI), Behavioral Intention (BI), and Actual Usage (AU), while examining the mediating effect of BI and the moderating effect of Voluntariness of Use (VOU). By…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Accounting
Qian Wang; Shiwang Hou; Sixian Wan; Xin Feng; Hao Feng – European Journal of Education, 2025
To prepare undergraduates for complex careers, interdisciplinary higher education is gaining popularity. However, implementing interdisciplinary learning in engineering management is challenging due to the complex and intertwined knowledge structures. While smart education platforms provide access to extensive knowledge bases, the intricate web of…
Descriptors: Undergraduate Students, Higher Education, Interdisciplinary Approach, Engineering Education
Yao Qu; Michelle Xin Yi Tan; Jue Wang – Smart Learning Environments, 2024
The rapid development of generative artificial intelligence (GenAI) technologies has sparked widespread discussions about their potential applications in higher education. However, little is known about how students from various disciplines engage with GenAI tools. This study explores undergraduate students' GenAI knowledge, usage intentions, and…
Descriptors: Undergraduate Students, Learner Engagement, Technology Uses in Education, Artificial Intelligence
Privacy Fatigue and Its Effects on ChatGPT Acceptance among Undergraduate Students: Is Privacy Dead?
Jiwon Chung; Hun-yeong Kwon – Education and Information Technologies, 2025
OpenAI's generative pre-trained transformer (ChatGPT) is rapidly transforming fields such as education and becoming an integral part of our daily lives. However, its rise has sparked intense privacy debates, raising concerns about the storage of personal information and attracting global regulatory scrutiny. ChatGPT is gaining popularity among…
Descriptors: Artificial Intelligence, Privacy, Technology Uses in Education, Undergraduate Students
Haley A. Delcher; Enas S. Alsatari; Adeyeye I. Haastrup; Sayema Naaz; Lydia A. Hayes-Guastella; Autumn M. McDaniel; Olivia G. Clark; Devin M. Katerski; Francois O. Prinsloo; Olivia R. Roberts; Meredith A. Shaddix; Bridgette N. Sullivan; Isabella M. Swan; Emily M. Hartsell; Jeffrey D. DeMeis; Sunita S. Paudel; Glen M. Borchert – Biochemistry and Molecular Biology Education, 2025
Today, due to the size of many genomes and the increasingly large sizes of sequencing files, independently analyzing sequencing data is largely impossible for a biologist with little to no programming expertise. As such, biologists are typically faced with the dilemma of either having to spend a significant amount of time and effort to learn how…
Descriptors: Artificial Intelligence, Technology Uses in Education, Training, Teaching Methods
Xiaojing Duan; Bo Pei; G. Alex Ambrose; Arnon Hershkovitz; Ying Cheng; Chaoli Wang – Education and Information Technologies, 2024
Providing educators with understandable, actionable, and trustworthy insights drawn from large-scope heterogeneous learning data is of paramount importance in achieving the full potential of artificial intelligence (AI) in educational settings. Explainable AI (XAI)--contrary to the traditional "black-box" approach--helps fulfilling this…
Descriptors: Academic Achievement, Artificial Intelligence, Prediction, Models
