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Showing 1 to 15 of 34 results Save | Export
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Khurshid, Shabana; Amin, Faseeh; Masoodi, Nayera; Khan, Mohammad Furqan – International Journal of Learning Technology, 2023
This work has investigated the relationship between SM use and its four antecedents, i.e., perceived interactivity, perceived usefulness, perceived ease of use and perceived enjoyment. Moreover, it has also examined the association of SM use with its outcome variables, i.e., active learning, creativity and collaborative learning, leading to…
Descriptors: Electronic Learning, Social Media, Interaction, Usability
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Nikou, Shahrokh; Maslov, Ilia – International Journal of Information and Learning Technology, 2021
Purpose: During the COVID-19 pandemic, educational institutions were forced to shut down, causing massive disruption of the education system. This paper aims to determine the critical factors for the intention to participate in e-learning during COVID-19. Design/methodology/approach: Data were collected by surveying 131 university students and…
Descriptors: Student Attitudes, Electronic Learning, Student Participation, COVID-19
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Zhai, Na; Ma, Xiaomei – Computer Assisted Language Learning, 2022
Automated writing evaluation (AWE) has been used increasingly to provide feedback on student writing. Previous research typically focused on its inter-rater reliability with human graders and validation frameworks. The limited body of research has only discussed students' attitudes or perceptions in general. A systematic investigation of the…
Descriptors: Automation, Writing Evaluation, Feedback (Response), College Students
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Alshurideh, Muhammad; Al Kurdi, Barween; Salloum, Said A.; Arpaci, Ibrahim; Al-Emran, Mostafa – Interactive Learning Environments, 2023
Despite the plethora of m-learning acceptance studies, few have tackled the importance of examining the actual use of m-learning systems from the lenses of social influence, expectation-confirmation, and satisfaction. Additionally, most of the prior technology adoption literature tends to use the structural equation modeling (SEM) technique in…
Descriptors: Electronic Learning, Prediction, Least Squares Statistics, Structural Equation Models
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Salar, Riza; Arici, Faruk; Caliklar, Seyma; Yilmaz, Rabia M. – Journal of Science Education and Technology, 2020
The aim of this study is to investigate the augmented reality (AR) immersion experiences of university students studying in science education. The relationship between interest, usability, emotional investment, focus of attention, presence and flow was examined for university students studying in the science education department who used AR…
Descriptors: College Students, Science Education, Usability, Correlation
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Al-Emran, Mostafa; Teo, Timothy – Education and Information Technologies, 2020
Studying the factors that affect the e-learning adoption is not a new research topic. Nevertheless, exploring the effect of knowledge acquisition and knowledge sharing on e-learning adoption is a relatively new research trend that has not been featured in the existing literature. Thus, this study was conducted to build a new model by extending the…
Descriptors: Electronic Learning, Educational Technology, Information Technology, Technology Integration
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Yakubu, Mohammed Nasiru; Dasuki, Salihu Ibrahim; Abubakar, A. Mohammed; Kah, Muhammadou M. O. – Education and Information Technologies, 2020
Research has shown that technology, when used prudently, has the potential to improve instruction and learning both in and out of the classroom. Only a handful of African tertiary institutions have fully deployed learning management systems (LMS) and the literature is devoid of research examining the factors that foster the adoption of LMS. To…
Descriptors: Management Systems, Instructional Improvement, Student Surveys, Intention
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Dalvi-Esfahani, Mohammad; Wai Leong, Lam; Ibrahim, Othman; Nilashi, Mehrbakhsh – Journal of Educational Computing Research, 2020
In the literature, there is a scarcity of studies investigating the factors influencing the deployment of mobile Web 2.0 (MW2.0) as pedagogical tools in higher education. The purpose of this study is to investigate the adoption of mobile Web 2.0 learning (MW2.0L) by students and further to explore their perceived learning. Accordingly, a research…
Descriptors: Student Attitudes, Web 2.0 Technologies, Telecommunications, Handheld Devices
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Teo, Timothy; Doleck, Tenzin; Bazelais, Paul – Interactive Learning Environments, 2018
Considering the increasingly ubiquitous and frequent use of Facebook among college students, this study sought to explicate and unravel the salient determinants of Facebook use. Specifically, the main goal was to ascertain the factors influencing "Collège d'enseignement général et professionnel" (CEGEP) students' Facebook use, for which…
Descriptors: Foreign Countries, Attachment Behavior, College Students, Structural Equation Models
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Raza, Syed Ali; Qazi, Wasim; Umer, Amna – Journal of Educational Computing Research, 2017
This study analyzes the influence of Facebook usage on building social capital among university students in Karachi by using a modified framework of technology acceptance model. Important information was gathered utilizing organized questionnaire containing items of Facebook intensity, social self-efficacy, perceived ease of use, perceived…
Descriptors: College Students, Social Capital, Social Media, Developing Nations
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Moreno, Valter; Cavazotte, Flavia; Alves, Isabela – British Journal of Educational Technology, 2017
Students' success in e-learning programs depends on how they adopt and embed technology into their learning activities. Drawing on the Technology Acceptance Model, we propose a framework to explain students' intention to use e-learning platforms effectively, that is, their intention to fully exploit system's functionalities in leaning processes,…
Descriptors: College Students, Electronic Learning, Intention, Student Attitudes
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Vululleh, Pee – International Journal of Education and Development using Information and Communication Technology, 2018
Several studies have shown that apart from the mechanics of specific technologies involved in such educational solutions, successful implementation of e-learning is also based on behavioral and social factors. However, no substantial studies have been conducted to understand the importance of these factors in developing countries as it relates to…
Descriptors: Electronic Learning, Online Surveys, Developing Nations, Social Influences
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Escalera-Chávez, Milka Elena; García-Santillán, Arturo; Venegas-Martínez, Francisco – EURASIA Journal of Mathematics, Science & Technology Education, 2014
In this study, we examined whether the constructs of usefulness, motivation, likeness, confidence, and anxiety influence the student's attitude towards statistics. Two hundred ninety eight students enrolled in the private university were surveyed by using the questionnaire proposed by Auzmendi (1992). Data analysis was done by structural…
Descriptors: Student Attitudes, Statistics, College Students, Questionnaires
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Wombacher, Kevin A.; Harris, Christina J.; Buckner, Marjorie M.; Frisby, Brandi; Limperos, Anthony M. – Communication Education, 2017
Online environments increasingly serve as contexts for learning. Hence, it is important to understand how student characteristics, such as student computer-mediated communication anxiety (CMCA) affects learning outcomes in mediated classrooms. To better understand how student CMCA may influence student online learning experiences, we tested a…
Descriptors: Computer Mediated Communication, Student Attitudes, Teacher Behavior, Anxiety
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Al-Samarraie, Hosam; Selim, Hassan; Zaqout, Fahed – Interactive Learning Environments, 2016
A model is proposed to assess the effect of different content representation design principles on learners' intuitive beliefs about using e-learning. We hypothesized that the impact of the representation of course contents is mediated by the design principles of alignment, quantity, clarity, simplicity, and affordance, which influence the…
Descriptors: Electronic Learning, Learning Motivation, Course Content, Intuition
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