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Showing 1 to 15 of 52 results Save | Export
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Wang, Kai – International Review of Research in Open and Distributed Learning, 2023
This study incorporated the technology acceptance model (TAM) and theory of planned behavior (TPB) to interpret students' perception of MOOCs. This study was based on a survey questionnaire; all 525 respondents were undergraduates in China. A five-point Likert scale was used to collect data in order to measure relationships among the constructs of…
Descriptors: Foreign Countries, Undergraduate Students, MOOCs, Intention
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Faith Sylvester Orim; Usani Joseph Ofem; Imelda Barong Edam-Agbor; Nsan Njar Nsan; John Arikpo Okri; Patience Ekpang; Blessing Ogunjimi; Isu Michael Egbe; James Omaji Ukatu; Cecilia Undie Angrey; Moses Agba Undie; Oluwaseun Akin-Fakorede; Dymphina Abua; Peace Asukwo – Discover Education, 2025
The current educational landscape is flooded with new technological tools, especially with the arrival of artificial intelligence, which is applicable at all levels of instructional practices. However, the application of technology in assessment in higher education has been understudied. This study focused on filling this research gap by examining…
Descriptors: Higher Education, College Faculty, Computer Assisted Testing, Technology Integration
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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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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
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Oluwanife Segun Falebita; Petrus Jacobus Kok – Journal for STEM Education Research, 2025
This study investigates the relationship between undergraduates' technological readiness, self-efficacy, attitude, and usage of artificial intelligence (AI) tools. The study leverages the technology acceptance model (TAM) to explore the relationships among the study's variables. The study's participants are 176 undergraduate students from a public…
Descriptors: Artificial Intelligence, Technology Uses in Education, Structural Equation Models, Undergraduate Students
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Deliang Wang; Cunling Bian; Gaowei Chen – British Journal of Educational Technology, 2024
Deep neural networks are increasingly employed to model classroom dialogue and provide teachers with prompt and valuable feedback on their teaching practices. However, these deep learning models often have intricate structures with numerous unknown parameters, functioning as black boxes. The lack of clear explanations regarding their classroom…
Descriptors: Artificial Intelligence, Dialogs (Language), Discourse Analysis, Trust (Psychology)
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Anna Vysotskaya; Maria Prokofieva – Accounting Education, 2025
The purpose of this paper is to identify strategies for integrating data analytics into teaching management accounting. We conducted a literature review and evaluated students' perceptions of the introduction of data analytics in teaching management accounting courses. This research is based on the application of the Extended Technology Acceptance…
Descriptors: Accounting, Business Education, Data Analysis, Technology Uses in Education
Yazmin Muñiz de la Garza – ProQuest LLC, 2021
Once teachers begin their professional journey it is expected that they know how to integrate technology effectively. Therefore, exploring the experiences that influence their self-efficacy become an important aspect in which to inquire. The purpose of the study was to examine the self-efficacy of pre-service teachers related to the integration of…
Descriptors: Preservice Teachers, Student Attitudes, Self Efficacy, Technology Integration
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Balouchi, Shima; Samad, Arshad Abdul – Education and Information Technologies, 2021
There is a wealth of research investigating language learners' adoption of digital technology in higher education. To date, however, research primarily focuses on the implementation of technology in formal learning either inside or outside of the classroom, and the associations between factors influencing learners' informal English learning in…
Descriptors: Second Language Learning, English (Second Language), Informal Education, Intention
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Kaya, Suat – Research in Pedagogy, 2021
This research was conducted in an attempt to examine online learning satisfaction (OLS) level of the pre-service teachers and the influence of antecedents including computer anxiety (CA), internet anxiety (IA), online course anxiety (OCA), internet self-efficacy (ISE) and transactions including learner-instructor interaction (LII), learner-content…
Descriptors: Predictor Variables, Electronic Learning, Student Satisfaction, Preservice Teachers
Sharifa J. Simmons – ProQuest LLC, 2021
The digital age is reshaping learning and instruction and encouraging educational technology advances within higher education institutions. However, online faculty are not integrating technology into their classes despite the technology related professional development they receive. The purpose of this quantitative study was to determine if a…
Descriptors: Educational Technology, Online Courses, Technology Integration, Self Efficacy
LaDonna Hutchins – ProQuest LLC, 2021
Student motivation and technology use are important considerations for higher education institutions. With increasing proportions of institutional funding being tied to student success and retention outcomes, gaining an awareness of how students tend to be motivated as well as their comfort and skill level with technology is critical for…
Descriptors: Generational Differences, College Students, Community Colleges, Universities
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Haseski, Halil Ibrahim – International Journal of Research in Education and Science, 2020
The present study aimed to determine the effect of individual cyber security skills of pre-service teachers on their attitudes towards computer-assisted education. Thus, the present research was designed as a correlational study. The study participants included 241 senior pre-service teachers in different departments at Manisa Celal Bayar…
Descriptors: Computer Security, Computer Literacy, Preservice Teachers, Computer Assisted Instruction
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Bervell, Brandford; Umar, Irfan Naufal – Open Learning, 2020
Learning Management System (LMS)-enabled blended learning has been adopted by higher educational institutions for promoting accessible and effective pedagogy and andragogical practices. The introduction of this mode of learning has altered the traditional face-to-face interaction. However, the lack of actual usage and online presence by…
Descriptors: Blended Learning, Conventional Instruction, Instructional Effectiveness, Tutors
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Sheppard, Michael; Vibert, Conor – Education and Information Technologies, 2019
The technology acceptance model, and extensions of it, suggests a causal relationship between the perceived ease of use and usefulness of an information technology system. Using a dataset based on the responses from 247 undergraduate business students in relation to their use of an educational technology system, we compared competing structural…
Descriptors: Educational Technology, Adoption (Ideas), Information Technology, Computer Attitudes
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