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Showing 1 to 15 of 148 results Save | Export
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Ove E. Hatlevik; Vibeke Bjarnø – Journal of Computer Assisted Learning, 2024
Background: With the rapid advancement of digital technology, student teachers must be proficient in evaluating digital information, resilient to digital distractions, and able to discern the usefulness of Information and Communication Technology. Objectives: This study investigates the relationships between these concepts at two points in time.…
Descriptors: Educational Technology, Preservice Teachers, Attention, Foreign Countries
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Suzhen Duan; Marisa Exter; Qing Li – TechTrends: Linking Research and Practice to Improve Learning, 2024
Preservice teachers' beliefs regarding technology integration significantly influence their future teaching practices. This qualitative study examines the beliefs and intentions of 51 preservice teachers within the context of technology integration in their envisioned teaching scenarios. Thematic analysis identified three primary themes. Firstly,…
Descriptors: Preservice Teachers, Student Attitudes, Beliefs, Technology Integration
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Julian Küsel; Florence Martin; Silvija Markic; Erik Jon Byker; Drew Polly – Compare: A Journal of Comparative and International Education, 2025
Based on different educational policies around the world, pre-service teachers are expected to use digital technology in their future teaching in school. However, to do this successfully, they need knowledge, skills and appropriate beliefs regarding utilising digital technology in learning scenarios. Thus, this study explores pre-service teachers'…
Descriptors: Foreign Countries, Preservice Teachers, Student Attitudes, Educational Technology
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Zhicheng Dai; Ling Wang; Xian Peng; Liang Zhao; Junxia Xiong – Journal of Computer Assisted Learning, 2024
Background: Smart classroom environment has drawn worldwide attention, however, there is still a lack of studies that can explore and analyse potential factors, which affect students' satisfaction with smart classrooms in higher education. Objectives: To assess students' satisfaction with smart classrooms in higher education, this study proposed…
Descriptors: Student Satisfaction, Classroom Environment, College Students, Educational Technology
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Pengfei Yang; Shaowen Qian – SAGE Open, 2025
E-learning has revolutionized the educational landscape, changing how knowledge is imparted to students and enhancing the learning process. Despite the growing popularity of e-learning worldwide, a lingering question remains regarding the behavioral intentions of Physical Education students toward its use. This study endeavors to address this…
Descriptors: Foreign Countries, Physical Education, Intention, Electronic Learning
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Jian Dai; Xing Zhang; Chengliang Wang – Education and Information Technologies, 2024
The extant research on the factors influencing online education platform learners' continuance intention has yielded inconsistent results, which necessitates a thorough review and reanalysis of relevant literature. Therefore, this study combines different theoretical models and conducts a meta-analysis on 219 articles obtained from Web of Science,…
Descriptors: Educational Technology, Technology Uses in Education, Intention, Online Courses
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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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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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Feng Zhang; Gege Li; Heng Luo – Educational Technology & Society, 2025
With the development of virtual reality technology, 3D multi-user virtual environments (MUVEs) have attracted increasing research attention and are thought to bring many learning benefits in higher education. However, the widespread and sustained application of MUVEs in higher education lies in learners' intention to use them, but the mechanism…
Descriptors: Student Attitudes, Intention, College Students, Educational Technology
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Bhatnagar, Neelima; Horcher, Ann-Marie – Information Systems Education Journal, 2023
The study examines the motivating factors driving mobile information systems use (MISU) for mobile learning. The primary objectives include comparing attitudes of students and faculty towards the influence of perceived usefulness (PU), perceived playfulness (PP), and perceived enjoyment (PE) on MISU. Additionally, the influence of personal…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Student Attitudes
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Mohammed A. E. Suliman; Wenlan Zhang; Kamal Abubker Abrahim Sleiman – Innovations in Education and Teaching International, 2024
This study set out to determine what variables led students to choose mobile learning during COVID-19 and to study the direct impact of the perceived fear of COVID-19 (PCF) on undergraduate learners' intentions to adopt m-learning in developing countries such as Sudan. It utilizes the Technology Acceptance Model (TAM) as a foundation and uses PCF…
Descriptors: Educational Technology, Technology Uses in Education, Telecommunications, Handheld Devices
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Sajuddin Saifi; Shaista Tanveer; Mohd Arwab; Dori Lal; Nabila Mirza – Education and Information Technologies, 2025
The current study is an attempt to bring to light the influence of Open AI adoption among users regarding the Indian Higher Education system by incorporating the TCT and TTF models. A questionnaire was designed to collect the data from 571 participants associated with higher education in India. The developed model with Perceived usefulness,…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Higher Education
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Baji, Fatima; Azadeh, Fereydoun; Sabaghinejad, Zivar; Zalpour, Amir – Journal of Global Education and Research, 2022
E-learning can address some of the unmet needs of learners and educational communities; however, not all learners and educators accept e-learning as a delivery modality. This research endeavored to study the factors which affect e-learning acceptance among Iranian post-graduate students using the Davis Technology Acceptance Model (TAM) and to…
Descriptors: Foreign Countries, Electronic Learning, Educational Technology, Graduate Students
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Persada, Satria Fadil; Miraja, Bobby Ardiansyah; Nadlifatin, Reny; Belgiawan, Prawira Fajarindra; Perwira Redi, A. A. N.; Lin, Shu-Chiang – Technology, Knowledge and Learning, 2022
Despite the debates surrounding online private tutoring, most scholars agree that the private tutor approach provides much positive insight to be adopted. The present study measures the students' intention in using online private tutoring. The measurement was conducted with a structural equation model analysis. The expectation confirmation model…
Descriptors: Student Attitudes, Intention, Tutoring, Private Education
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Salimon, Maruf Gbadebo; Mokhtar, Sany Sanuri Mohd; Aliyu, Olayemi Abdullateef; Yusr, Maha Mohammed; Perumal, Selvan – Journal of Applied Research in Higher Education, 2023
Purpose: E-learning system has been widely acknowledged to have positive impacts on the learning process. Nevertheless, the intention to use it is globally low, thereby constituting puzzles to be solved. This study aims to proffer some insights to solve the puzzles. Design/methodology/approach: The data of the study were collected through an…
Descriptors: Foreign Countries, Electronic Learning, Educational Technology, Intention
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