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Muhammad Mujtaba Asad; Anum Qureshi – Higher Education, Skills and Work-based Learning, 2025
Purpose: Technology-based collaborative learning (TBCL) is the manner in which students can use technological tools and digital platforms to share knowledge and learn collaboratively. It can help increase students' participation, motivation and achievement due to the stimulating teaching environment. The study intends to examine the effect of TBCL…
Descriptors: Cooperative Learning, Competency Based Education, Technology Uses in Education, Undergraduate Students
Joaquín 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
Stéphane Colognesi; Vanessa Hanin – Technology, Pedagogy and Education, 2024
This article discusses a study conducted among final-year undergraduate students preparing to become primary school teachers. These students participated in an eight-week module on digital technology, working in pairs to create, test and analyse pedagogical scenarios using and not using digital tablets. The study aimed to address two main…
Descriptors: Technology Uses in Education, Undergraduate Students, Preservice Teachers, 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
Candas Uygan; Melih Turgut – International Journal for Technology in Mathematics Education, 2025
This paper focuses on solving net-related problems with SketchUp and emerging instrumented techniques regarding the use of push/pull tool. The data were collected from a series of task-based interviews with an undergraduate mathematics education student including three tasks focused on building 3D objects from given nets. Spatial structuring and…
Descriptors: Undergraduate Students, Mathematics Education, Educational Technology, Technology Uses in Education
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
Hulya Julie Yazici – Education and Information Technologies, 2025
As institutions continue blended or hybrid learning, video conferencing in education remains central. This study investigates learner acceptance with three popular videoconferencing platforms -- Zoom, Microsoft Teams, and BigBlueButton -- and the development of e-professionalism. E-professionalism applies professionalism to online behaviors,…
Descriptors: Videoconferencing, Technology, Professionalism, Behavior
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
Julie Donnelly; Kurt Winkelmann – Journal of Science Education and Technology, 2025
The sudden transition to remote learning in response to the COVID-19 pandemic resulted in a significant increase in reliance on instructional technology, some unique to STEM disciplines. This violation of students' expectations for the learning experience presented an additional crisis. Students had to react to the disruption without time to…
Descriptors: COVID-19, Pandemics, Educational Technology, Technology Uses in Education
Tom Peney; Paul A. Skarratt – Educational Technology Research and Development, 2024
Recent years have seen an increase in the use of immersive virtual reality (IVR) technology in education and training. Studies examining the efficacy of IVR-based interventions have shown improved performance compared to traditional training programmes; however, little is known about whether such improvements can be detected at the level of…
Descriptors: Foreign Countries, Undergraduate Students, Computer Simulation, Recall (Psychology)
Yang Tian; Tak Jie Chan; Sharifah Sofiah Syed Zainudin; Farhana Muslim Mohd Jalis – Journal of Educators Online, 2025
This study aims to identify the mediating effect of collaborative learning on the relationship between Learning Management System (LMS) usage and academic performance among undergraduate students in a public university through the constructivism theory. The study employed a purposive sampling survey method, and 381 valid respondents were…
Descriptors: Learning Management Systems, Cooperative Learning, Academic Achievement, Undergraduate Students
Maimoona 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
Ningxin Ma; Prasert Ruannakarn – Higher Education Studies, 2024
This study aims to evaluate the impact of the application of Internet + technology in accounting education on academic performance, with a special focus on the academic performance changes of 2022 accounting students of Ningxia Vocational and Technical College of Finance and Economics. The study adopted a quantitative analysis method to evaluate…
Descriptors: Foreign Countries, Undergraduate Students, Accounting, Academic Achievement