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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
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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
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Polly, Drew; Martin, Florence; Byker, Erik – Computers in the Schools, 2023
This study examines 105 pre-service and in-service teachers' perceptions of the importance and helpfulness of digital technologies for their learning and their teaching as well as their perceived competence and level of interest in digital technologies. The descriptive statistics from an online survey show that all respondents (n = 105) found…
Descriptors: Preservice Teachers, Teachers, Student Attitudes, Teacher Attitudes
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Chi-Jung Sui; Miao-Hsuan Yen; Chun-Yen Chang – Education and Information Technologies, 2024
This study examined the effects of a technology-enhanced intervention on the self-regulation of 262 eighth-grade students, employing information and communication technology (ICT) and web-based self-assessment tools set against science learning. The data were analyzed using Bayesian structural equation modeling to unravel the intricate…
Descriptors: Technology Uses in Education, Independent Study, Middle School Students, Grade 8
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Oguz Onat; Sevinç Gülseçen – International Journal of Technology in Education and Science, 2023
This study investigates the impact of utilizing a chatbot named "YakinDost" on the perceptions of transactional distance among distance education students. Transactional distance, which involves communication and interaction between students and instructional personnel, is a critical aspect of distance education. To address this,…
Descriptors: Distance Education, Technology Uses in Education, Educational Technology, Artificial Intelligence
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Mohsen Asgari; Fong-Chun Tsai; Linda Mannila; Filip Strömbäck; Kazi Masum Sadique – Discover Education, 2024
As programming emerges as a critical skill in the digital age and digital tools continue to evolve, understanding students' perspectives on the integration of such technologies into their education is crucial. This empirical study explores the perspectives of students in Sweden and Taiwan on the use of digital tools in their programming courses.…
Descriptors: Foreign Countries, Comparative Education, Student Attitudes, Technology Uses in Education
Leslie Browning-Samoni – ProQuest LLC, 2024
In the dynamic landscape of fashion, the integration of Generative Artificial Intelligence technology (GAI) stands as a transformative force. Fashion professionals and students must adapt to this technological shift, recognizing AI's pivotal role in enhancing product development. This paper explores the incorporation of GAI into fashion curricula…
Descriptors: Artificial Intelligence, Student Attitudes, Technology Uses in Education, Ethics
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Ohanu, Ifeanyi B.; Shodipe, Taiwo O.; Ohanu, Chinenye M-G.; Anene-Okeakwa, Josephine E. – E-Learning and Digital Media, 2023
There are declines in learning outcomes despite teacher's efforts to attain the lesson goals and objectives. The application of technology in education paved way for constructive teaching and learning, which made the evaluative processes convenient. Hence, this study investigated system quality, technology acceptance model and theory of planned…
Descriptors: Educational Technology, Technology Uses in Education, Blended Learning, College Students
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Nathalie Barz; Manuela Benick; Laura Dörrenbächer-Ulrich; Franziska Perels – Discover Education, 2024
The present study examines university students' acceptance of e-learning according to the Technology Acceptance Model (TAM). We also investigate the influence of external factors, including self-efficacy with digital media, self-regulated learning, prior experience, and affinity for technology, to extend the model with valid individual factors.…
Descriptors: Undergraduate Students, Electronic Learning, Self Management, Foreign Countries
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Shuaiyao Ma; Lei Lei – Asia Pacific Journal of Education, 2024
This study, rooted in the Technology Acceptance Model (TAM), investigates the multifaceted factors that influence teacher education students in Information-Based Teaching to embrace artificial intelligence technologies. To enrich the TAM framework, we have incorporated elements such as Artificial Intelligence Literacy (AIL), Subjective Norms (SN),…
Descriptors: Preservice Teachers, Artificial Intelligence, Technology Uses in Education, Educational Technology
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Xuefeng Zhang; Yelin Huang; Mingshuang Chen; Fenglian Wang – International Journal of Web-Based Learning and Teaching Technologies, 2024
Online teaching platforms (OTPs) are becoming important mediums for supporting college students in course learning activities. Their intention to use is critical for promoting learning effectiveness, efficiency, and continuous development of OTPs. Drawing upon the technology acceptance model (TAM), this study builds the research model of students'…
Descriptors: College Students, Student Behavior, Intention, Usability
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Mohammed Abdullatif Almulla – International Journal of Information and Communication Technology Education, 2024
Mobile learning (M-learning) has become a crucial tool for both students and educators. The unified theory of acceptance and use of technology (UTAUT), the technology acceptance model (TAM), and outside factors were all included in this study's integrative review approach to examine the variables affecting university students' intention to use…
Descriptors: Handheld Devices, Computer Oriented Programs, Educational Technology, Undergraduate Students
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Fengyao Sun; Peiyao Tian; Daner Sun; Yanhua Fan; Yuqin Yang – British Journal of Educational Technology, 2024
In the ever-evolving AI-driven education, integrating AI technologies into teaching practices has become increasingly imperative for aspiring STEM educators. Yet, there remains a dearth of studies exploring pre-service STEM teachers' readiness to incorporate AI into their teaching practices. This study examined the factors influencing teachers'…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Preservice Teachers
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Ismail Yildiz; Ersin Topcu; Esra Izmir – i.e.: inquiry in education, 2023
This study delves into the transformative potential of gamification within the realm of education by integrating game elements into a lesson process primarily designed for non-gaming purposes and contexts. In this study, gamification was created by incorporating game elements such as points, badges and leaderboards into a lesson process designed…
Descriptors: Gamification, Preservice Teachers, Social Studies, Student Attitudes
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Songkram, Noawanit; Chootongchai, Suparoek; Osuwan, Hathaiphat; Chuppunnarat, Yootthana; Songkram, Nutthakorn – Education and Information Technologies, 2023
The purpose of this research was to investigate students' behavioral intentions toward a digital learning platform. In the framework of Thai education, an empirical study evaluated and applied the adoption model. The recommended research model was tested using structural equation modeling with a sample of 1406 students from every part of Thailand.…
Descriptors: Student Behavior, Intention, Educational Technology, Technology Uses in Education
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