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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
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
Lindsey S. Ward – ProQuest LLC, 2023
Educational institutions increasingly rely on educational technology to deliver academic experiences, particularly since the COVID-19 pandemic. This study focused on graduate students' attitudes about online privacy specific to use of technology for educational purposes. Students who participated were all current students at a university in the…
Descriptors: Graduate Students, Student Attitudes, Privacy, Technology
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
Emily Carol King – ProQuest LLC, 2024
This dissertation comprises work developing and leveraging technology as a means to aid student learning as well as to provide access to course-specific information. As technology continues to advance, tools are being developed and adopted by instructors to help fill gaps in previous systems and further extend their usefulness in the classroom.…
Descriptors: Science Education, Chemistry, Artificial Intelligence, Intelligent Tutoring Systems
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
Dwayne Wood; Scott H. Moss – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: The purpose of the study was to evaluate the impact of generative artificial intelligence (GenAI) on students' learning experiences and perceptions through a master's-level course. The study specifically focused on student engagement, comfort with GenAI and ethical considerations. Design/methodology/approach: The study used an action…
Descriptors: Artificial Intelligence, Learning Experience, Influence of Technology, Evaluation
Folasade Esther Jimola; Semmy Oluwatumbi Oso – International Journal of Technology in Education and Science, 2024
Teaching has gone beyond mere memorizing of rules and the use of talk and chalk method of teaching. Learning is no longer tied to the four-walls of the classroom hence teachers should adapt to the new digital way of learning. This paper investigated pre-service teachers' perceptions, preparedness and competence in using virtual meeting solutions…
Descriptors: Preservice Teachers, Electronic Learning, Educational Technology, Competence
Sha Tian; Wenjiao Yang – Education and Information Technologies, 2024
The growing popularity of interpreting technology in the industry has raised awareness of incorporating it into interpreter education. However, it is unclear what factors may contribute to students' behavioral use and the consequent effects of using it. With the addition of three external factors (motivation, task-technology fit, and technology…
Descriptors: Translation, Educational Technology, Technology Integration, Technology Uses in Education
Sercan Özer; Levent Çetinkaya – Educational Policy Analysis and Strategic Research, 2024
This study aimed to gather middle school students' opinions on the utilization of cryptologic methods in education. Using a case study approach, data were collected through a semi-structured interview form developed with expert input. The focus was on the effects of integrating cryptologic methods within the Information Technologies and Software…
Descriptors: Middle School Students, Grade 6, Technology Integration, Information Technology
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
Rusman; Rusman O. Setiasih; Nandi; Wawan Setiawardani; Eri Yusron – Pegem Journal of Education and Instruction, 2024
This study aims to identify factors that can influence students when using the learning management system (LMS) in learning educational pedagogy. The LMS that we mean in this study is Pedagogi.id Platform. The design model in the study uses the UTAUT model. Questionnaires with five UTAUT variables, namely performance expectancy, effort expectancy,…
Descriptors: Learning Management Systems, Technology Integration, Educational Technology, Expectation