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Reham Adel Ali; Mohamed Soliman; Muhammad Roflee Weahama; Muhammadafeefee Assalihee; Imran Mahmud – Smart Learning Environments, 2025
The current study explores metaverse adoption among higher education institutions (HEIs) in the light of a theoretical framework to empower future perspectives of the metaverse as a learning platform. Even though this technology was just recently introduced to the higher education sector, very few attempts have been made to evaluate its impact.…
Descriptors: Technology Uses in Education, College Students, Student Attitudes, Private Colleges
María Agustina Tuzinkievicz; Nadia Soledad Peralta; Mariano Andrés Castellaro – European Journal of Psychology of Education, 2025
The present study examined the influence of the technological environment and the technological mediation on argumentative interactions among university students. Eighty-two students, paired in dyads, participated in discussions on an academic task in different settings (face-to-face, chat, video call), and with or without technological mediation…
Descriptors: Influence of Technology, Persuasive Discourse, Environmental Influences, College Students
Stephy K. Sunny; K. Ramasamy – Journal of Applied Research in Higher Education, 2025
Purpose: The study aimed to assess the digital literacy skills of the students of Sacred Heart College, Chalakudy, to know whether they possess the digital literacy skills to perform well in the digital environment. The study also analyzed how digital literacy skills were affected by various factors. Design/methodology/approach: The study used…
Descriptors: Foreign Countries, Digital Literacy, College Students, Information Technology
Azmi Fitriati; Subuh Anggoro; Corrienna Abdul Talib; Tin Lam Toh – Turkish Online Journal of Distance Education, 2025
The Technology Acceptance Model (TAM) is a concise and efficient predictive model used to explain the acceptance of m-learning technology. However, several studies have shown that TAM cannot fully explain the acceptance of m-learning among Generation Z. This study aims to formulate TAM as a model of m-learning acceptance for Generation Z. TAM…
Descriptors: Foreign Countries, College Students, Young Adults, Self Efficacy
Jonathan W. Camp; Heather Johnson – Communication Teacher, 2025
This paper introduces generative AI for the graphic design of student presentation aids in a university public-speaking classroom. Students learn to use generative AI as an efficient enhancement to the creative process while preserving the integrity of the content. Students' slide presentations show improvement resulting from the activity, and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Public Speaking, Computer Software
Sita Lama – E-Learning and Digital Media, 2025
The objective of this study is to analyse the role that motivation and attitude play as mediators in the relationship between student satisfaction with online learning and comfort during COVID-19 pandemic in Sikkim, India. We define perceived comfort as the level of flexibility and convenience in using technologies for online learning. Motivation…
Descriptors: Foreign Countries, Student Attitudes, Student Satisfaction, Online Courses
Sophia Magaretha Brink – Journal of Applied Research in Higher Education, 2025
Purpose: The objective of the study was to explore which COVID-19 teaching and learning methods, that enhanced accounting students' learning experience, should be applied at a residential university after the pandemic. Design/methodology/approach: A qualitative exploratory approach within an interpretive paradigm was applied. A total of 15…
Descriptors: COVID-19, Pandemics, Student Experience, Accounting
Zuhan Liu; Lili Wang – Education and Information Technologies, 2025
With the continuous development of embodied cognition theory and virtual reality (VR) technology, its application in teaching has been paid more and more attention by researchers. However, there are still few practical studies on the combination of VR technology and embodied learning. Starting from literature research, the paper analyzes the…
Descriptors: Cognitive Processes, Computer Simulation, Human Body, Experiential Learning
Katarína Žáková; Diana Urbano; Ricardo Cruz-Correia; José Luis Guzmán; Jakub Matišák – Education and Information Technologies, 2025
Understanding how students interact with AI bots is a first step towards integrating them into instructional design. In this report, the results of a survey conducted in three European higher education institutions, and in the context of four different areas are presented. Among other things, they reveal for what purposes students use ChatGPT,…
Descriptors: Student Attitudes, Teacher Attitudes, Artificial Intelligence, Natural Language Processing
Alex Adams; Don Belcher; Alysia Jenkins; Tyler Goad – International Journal of Kinesiology in Higher Education, 2025
Video feedback is a commonly recommended tool for online physical education (OLPE) instructors. However, there is little evidence to support its effectiveness in motor skill learning. This study investigated the impact of different forms of pedagogical guidance delivered alongside video feedback on the acquisition and retention of two-disc golf…
Descriptors: Video Technology, Feedback (Response), Psychomotor Skills, Online Courses
Lakshana Assalaarachchi; Thilini Rambukwella; Ganguli Ranasinghe; Kaveesha Silva; Champa Hewagamage – Education and Information Technologies, 2025
In a period where digital transformation has become a buzzword in every industry, the higher education sector can also be further improved using digital transformation. This study explores the limitations faced when supervising and evaluating the interns manually and develops an information systems-based solution to overcome such identified…
Descriptors: Internship Programs, Supervision, Student Evaluation, College Students
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
Ian Thacker; Hannah French; Shon Feder – International Journal of Science Education, 2025
Presenting novel numbers about climate change to people after they estimate those numbers can shift their attitudes and scientific conceptions. Prior research suggests that such science learning can be supported by encouraging learners to make use of given benchmark information, however there are several other numerical estimation skills that may…
Descriptors: Climate, Computation, College Students, Hispanic American Students
Wali Khan Monib; Atika Qazi; Malissa Maria Mahmud – Education and Information Technologies, 2025
ChatGPT has emerged as a transformative technology with its remarkable ability to generate human-like responses, propelling its widespread adoption. While prior research has investigated the general landscape of AI-driven tools such as ChatGPT, the current study focuses specifically on exploring learners' experiences and perceptions regarding the…
Descriptors: Student Attitudes, Student Experience, Artificial Intelligence, Natural Language Processing
Harrison Hao Yang; Zhongyue Yin; Sha Zhu – British Journal of Educational Technology, 2025
The HyFlex course has been widely adopted in higher education settings. However, there is a paucity of empirical studies examining students' acceptance of large-scale HyFlex courses, as well as factors influencing their acceptance. To fill this research gap, the present study investigated students' acceptance of a large-scale HyFlex course and the…
Descriptors: Foreign Countries, College Students, Blended Learning, Public Colleges