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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
Hui Yang – International Review of Research in Open and Distributed Learning, 2025
This study explored the impact of digital technologies on the development of musical skills among music students. A learning experiment was conducted with 66 students between the ages of 18 and 21 from China, France, Italy, and Spain. The study used the methods of a survey and online discussions. Participants verified that the present advancement…
Descriptors: Foreign Countries, Young Adults, Music Education, Music
Ridvan Kagan Agca; Özgen Korkmaz – International Journal of Technology in Education, 2025
The aim of this study was to determine the effect of training on the integration of artificial intelligence into education given to pre-service teachers on their concerns about artificial intelligence and their views on the integration of artificial intelligence into education. In this study, sequential explanatory design, one of the mixed…
Descriptors: Artificial Intelligence, Anxiety, Influence of Technology, Technology Uses in Education
Hao Lijie; Shahazwan Mat Yusoff; Anwar Farhan Mohamad Marzaini – Education and Information Technologies, 2025
This research examines the factors that affect critical thinking disposition (CTD) in Malaysian university students using AI-based educational technologies. It analyzes the impact of AI literacy (AIL), perceived ease of use (PEOU), perceived usefulness (PU), and motivation (MO) through the lens of the Technology Acceptance Model (TAM) and…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Technology Uses in Education
Joie N. Marhefka; Shirley Campbell; Amy Kuntz; Laura E. Cruz – Biomedical Engineering Education, 2024
In an effort to better engage biomedical engineering technology (BMET) students with material covered in lectures and to connect them with their future careers, we created interactive 360° videos in typical BMET workplaces. Students watched the videos using virtual reality (VR) headsets and reflected on the experience. Students commented that the…
Descriptors: Biomedicine, Engineering Education, Technology, College Students
Driss Ait Ali; Brahim El Houate; Mohamed Adane; Mohamed El Koutbi; Idriss Houmam; Abdelilah El Meniari; Fatima Senhaji – Journal of Educators Online, 2024
One of the top concerns of educational policies around the world is the use of digital tools in the teaching and learning process. In Morocco, the integration of technology into nursing education is taking on an increasingly prominent role, particularly after the introduction of the LMD (Licence-Master-Doctorat) system. This study investigates…
Descriptors: Technology Uses in Education, Information Technology, Nursing Students, Student Attitudes
Krittanai Thararattanasuwan; Veena Prachagool – International Education Studies, 2024
The relevance of incorporating AI into educational settings is growing as the technology develops. This research delves into the perspective of pre-service teachers on generative AI technology. This study employed 45 pre-service teachers to raise their perspective towards AI technology and then explore its correlation about components of AI…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Preservice Teachers
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
Ricardo-Adán Salas-Rueda; Ricardo Castañeda-Martínez; Jesús Ramírez-Ortega; Selene-Marisol Martínez-Ramírez – Digital Education Review, 2025
The aim of this mixed research is to analyze the perception of the students about the use of Zoom and the Learning Management Systems such as Moodle and Google Classroom in the educational field during the COVID-19 pandemic considered data science. In particular, Zoom facilitates the communication, presentation of contents and resolution of…
Descriptors: Foreign Countries, Student Attitudes, Technology Integration, Educational Technology
Elisa Nadire Caeli; Francesco Caviglia; Jeppe Bundsgaard – TechTrends: Linking Research and Practice to Improve Learning, 2025
In this study, we have examined gender differences in the way students relate to information and communication technologies (ICT), to learn more about their perceptions of gender-based stereotypes in this area. This study is based on the results of the 2018 International Computer and Information Literacy Study (ICILS), specifically regarding…
Descriptors: Foreign Countries, Grade 8, Information Technology, Technology Integration
Granit Baca; Genc Zhushi – Higher Education, Skills and Work-based Learning, 2025
Purpose: This study aims to examine the integration of AI in student engagement and its benefits in the learning environment. Design/methodology/approach: The study employed a quantitative research method, analyzing data from a sample of 720 students. The econometric data analysis used the structural equation modeling (SEM) technique. Findings:…
Descriptors: Artificial Intelligence, Technology Integration, Technology Uses in Education, Higher Education
Boo Young Lim; Vickie E. Lake; Amber H. Beisly; Rae K. Ross-Lightfoot – Early Education and Development, 2024
Research Findings: This mixed-methods study utilized the Technological Pedagogical Content Knowledge (TPACK) framework to examine surveys, reflections, focus groups, and lesson plans from 22 pre-service teachers (PSTs) participating in two technology-rich courses. Following the completion of these courses, the results indicated a notable…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Preservice Teachers, Student Attitudes
Gustavo Gutierrez Carreon – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: The need for this paper arises from the lack of comprehensive studies comparing the impact of cloud-based versus local database systems on student learning outcomes. Specifically, there is a need to understand how these different approaches affect usability and cognitive load in educational settings, which are critical factors for…
Descriptors: Cognitive Processes, Difficulty Level, Information Storage, Information Technology
Adam Ishak – Malaysian Online Journal of Educational Technology, 2024
Despite vast improvements in technology infrastructure and classroom technology implementation across Malaysia, there still remain teachers who fail to seamlessly integrate technology in their lessons. Potential explanations for this behaviour span from low self-efficacy and computer anxiety to personal attitudes and beliefs. Technology has been…
Descriptors: Preservice Teachers, Technology Uses in Education, Computers, Student Attitudes
Fahmi Zaidi Abdul Razak; Mohd Amli Abdullah; Badli Esham Ahmad; Wan Hashridz Rizal Bin Wan Abu Bakar; Nur Aulia Fahada Binti Misaridin – Education and Information Technologies, 2025
The utilization of artificial intelligence (AI) among students is rapidly gaining prominence worldwide. However, Malaysia lags in terms of research and information in this area. This quantitative study aims to identify the factors that contribute to the adoption of AI among postgraduate students. The study focuses on the postgraduate student…
Descriptors: Foreign Countries, Higher Education, Artificial Intelligence, Technology Uses in Education