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Showing 1 to 15 of 35 results Save | Export
Hebah Alquran – ProQuest LLC, 2023
The rapid growth of electronic learning (e-learning) platforms has raised concerns about cybersecurity risks. The vulnerability of university students to cyberattacks and privacy concerns within e-learning platforms presents a pressing issue. Students' frequent and intense internet presence, coupled with their extensive computer usage, puts them…
Descriptors: Electronic Learning, Computer Security, Internet, Safety
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Sarah Alturkustani; Ashley Durfee; Olivia F. O'Leary; Siobhain M. O'Mahony; Conor O'Mahony; Mutahira Lone; Andreea Factor – Anatomical Sciences Education, 2025
Anatomy is fundamental to medical disciplines. However, its complexity can be challenging to learners, and traditional anatomy teaching may not be easily accessible. Virtual Reality has the potential to supplement anatomy education, but its effectiveness depends on students' willingness to accept it. This study aimed to measure students'…
Descriptors: Student Attitudes, Computer Simulation, Anatomy, Electronic Learning
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Kashive, Neerja; Mohite, Sayali – Interactive Technology and Smart Education, 2023
Purpose: This study aims to look at the integration of gamification in an e-learning model based on the technology acceptance model. The data was collected from respondents residing in India and elements of gamification (achievement, immersion and social) and personal characteristics of learners (self-efficacy, computer anxiety and enjoyment) and…
Descriptors: Gamification, Electronic Learning, Learning Experience, Foreign Countries
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Zhao, Yang; Wang, Ning; Li, Yixuan; Zhou, Ruoxin; Li, Shuangshuang – British Journal of Educational Technology, 2021
The great advantages of e-learning have been recognized, and efforts have been made to promote e-learning adoption. Despite valuable research achievements from technology adoption, previous studies built their models from different perspectives. In this study, to offer a comprehensive research model on e-learning adoption, we integrated these…
Descriptors: Cultural Differences, Electronic Learning, Student Attitudes, Computer Attitudes
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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
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Chou, Chun-Mei; Shen, Chien-Hua; Hsiao, Hsi-Chi; Shen, Tsu-Chguan; Shen, Tsu-Chi – International Journal of Psychology and Educational Studies, 2019
Mobile learning (M-learning) as a technology teaching has significant potential to improve student application and comprehension skills. The rapid development of the Internet and the resulting trends applying information available on the Internet have changed the nature of learning and learning behavior patterns of tertiary students. However,…
Descriptors: Foreign Countries, College Students, Student Attitudes, Computer Attitudes
Barrett, Beverly Pyle – ProQuest LLC, 2018
The study was designed to examine the relationship among computer anxiety, computer self-efficacy, computer experience, performance, and engagement. Previous research has demonstrated that these topics are related; however, few studies have included all of these variables. Specifically, this study was designed to answer the following research…
Descriptors: Experience, Anxiety, Computer Attitudes, Self Efficacy
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Revythi, Anastasia; Tselios, Nikolaos – Education and Information Technologies, 2019
This study examines the acceptance of technology and behavioral intention to use learning management systems (LMS). In specific, the aim of the research reported in this paper is to examine whether students ultimately accept LMSs such as eClass and the impact of behavioral intention on their decision to use them. An extended version of technology…
Descriptors: Integrated Learning Systems, Computer Attitudes, Educational Technology, Models
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Katsarou, Eirene – Journal of Education and e-Learning Research, 2021
Low computer anxiety (CA) and high computer self-efficacy (CSE) levels are important affective factors that promote students' academic success in the current digital era. In an effort to understand their role in successful and effective participation in online learning environments for language learning purposes, the study investigated their…
Descriptors: Anxiety, Computer Attitudes, Computer Literacy, Second Language Learning
Campbell, Charles L. – ProQuest LLC, 2018
The purpose of this research study was to examine several specific factors that could influence a project manager's behavioral intention to use e-learning technology for professional development learning activities. This study extended the technology acceptance model (TAM) with an external variable, computer self-efficacy, which was analyzed as a…
Descriptors: Influences, Intention, Computer Attitudes, Positive Attitudes
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Awofala, Adeneye O. A.; Olabiyi, Oladiran S.; Awofala, Awoyemi A.; Arigbabu, Abayomi A.; Fatade, Alfred O.; Udeani, Uchenna N. – Digital Education Review, 2019
For Nigeria to attain her Vision 20: 2020, the school curricula must change in line with the development in technology. Teachers should be able to adapt technology into the teaching and learning process. Three non-intellectual elements that affect the degree of integration of technology into teaching and learning are attitude toward computer,…
Descriptors: Computer Attitudes, Anxiety, Gender Differences, Correlation
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Larbi-Apau, Josephine; Oti-Boadi, Mabel; Tetteh, Albert – International Journal on E-Learning, 2018
Both computer attitude and eLearning self-efficacy are critical complementary factors in determining confidence levels and behavioral belief systems, and can directly affect students' actions, performances and achievements. This study applied a multidimensional construct in validating computer attitude and eLearning self-efficacy of Psychology…
Descriptors: Computer Attitudes, Electronic Learning, Self Efficacy, Undergraduate Students
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Adetimirin, Airen – Journal of Information Technology Education: Research, 2015
E-learning is an important trend globally that is believed to enhance the acquisition of knowledge by students within and outside the classroom to improve their academic pursuit. The Online Discussion Forum (ODF) is one of the tools that are used for e-learning in Nigerian universities. It facilitates interaction among postgraduate students as…
Descriptors: Electronic Learning, Discussion Groups, Graduate Students, Library Education
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Tarhini, Ali; Elyas, Tariq; Akour, Mohammad Ali; Al-Salti, Zahran – Higher Education Studies, 2016
The main aim of this paper is to develop an amalgamated conceptual model of technology acceptance that explains how individual, social, cultural and organizational factors affect the students' acceptance and usage behaviour of the Web-based learning systems. More specifically, the proposed model extends the Technology Acceptance Model (TAM) to…
Descriptors: Electronic Learning, Computer Attitudes, Adoption (Ideas), Web Based Instruction
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Al-Azawei, Ahmed; Parslow, Patrick; Lundqvist, Karsten – Australasian Journal of Educational Technology, 2017
This study assesses learner perceptions of a blended e-learning system (BELS) and the feasibility of accommodating educational hypermedia systems (EHSs) according to learning styles using a modified version of the technology acceptance model (TAM). Recently, Moodle has been adopted by an Iraqi university alongside face-to-face (F2F) classrooms to…
Descriptors: Cognitive Style, Blended Learning, Computer Attitudes, Models
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