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Al-Rahmi, Waleed Mugahed; Yahaya, Noraffandy; Alturki, Uthman; Alrobai, Amen; Aldraiweesh, Ahmed A.; Omar Alsayed, Alhuseen; Kamin, Yusri Bin – Interactive Learning Environments, 2022
Social media (SM) provide new opportunities to foster collaboration and engagement between students. However, the moderating effect of cyberstalking and cyberbullying on the relationship between students' academic performance and collaborative learning has not yet been addressed. Therefore, this study aims to bridge the literature gap concerning…
Descriptors: Social Media, Cooperative Learning, Predictor Variables, Academic Achievement
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Yadegaridehkordi, Elaheh; Nilashi, Mehrbakhsh; Shuib, Liyana; Samad, Sarminah – Education and Information Technologies, 2020
Despite numerous potential benefits of cloud computing usage, there are still some users reluctant to adopt this technology. This study aims to investigate the factors that influence student adoption of cloud computing in higher education settings and to generate a set of decision rules to guide through a series of critical decisions needed in…
Descriptors: College Students, Student Attitudes, Adoption (Ideas), Computer Uses in Education
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Valentin, Alberto; Mateos, Pedro M.; Gonzalez-Tablas, Maria M.; Perez, Lourdes; Lopez, Estrella; Garcia, Inmaculada – Computers & Education, 2013
Within the European Higher Education Area (EHEA) considerable efforts are being made to promote the incorporation of Information and Communication Technology (ICTs) in Higher Education (HE), together with placing emphasis on the cognitive and motivational components underlying learning. The objectives of this research were to analyze: (a) the…
Descriptors: Foreign Countries, Higher Education, Student Motivation, Learning Strategies
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Yoo, Jaebong; Kim, Jihie – International Journal of Artificial Intelligence in Education, 2014
Although many college courses adopt online tools such as Q&A online discussion boards, there is no easy way to measure or evaluate their effect on learning. As a part of supporting instructional assessment of online discussions, we investigate a predictive relation between characteristics of discussion contributions and student performance.…
Descriptors: Discussion Groups, Participation, Group Activities, Student Projects
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Henson, Amy R. – Research in Higher Education Journal, 2014
The purpose of this research was to determine the extent that computer-related factors affect the success of nontraditional college students. Since nontraditional students typically have fewer skills than traditionally-aged students, they may be less efficacious regarding their ability to use technology. Unfortunately, such reduced confidence may…
Descriptors: Nontraditional Students, College Students, Information Technology, Computer Uses in Education
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Dishaw, Mark T.; Eierman, Michael A.; Iversen, Jacob H.; Philip, George – Journal of Information Technology Education: Research, 2013
As collaboration among teams that are distributed in time and space is becoming increasingly important, there is a need to understand the efficacy of tools available to support that collaboration. This study employs a combination of the Technology Acceptance Model (TAM) and the Task-Technology Fit (TTF) model to compare four different technologies…
Descriptors: Cooperation, Collaborative Writing, Electronic Publishing, Word Processing
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Munoz-Repiso, Ana Garcia-Valcarcel; Tejedor, Francisco Javier Tejedor – British Journal of Educational Technology, 2012
This paper has focused on the productive use of information and communications technology (ICT) by university students and its influence on academic performance. The objective is to determine whether a comparison of successful and non-successful students (in relation to academic achievements) versus the variables studied (linked to the process of…
Descriptors: Foreign Countries, Data Analysis, Teaching Conditions, Educational Needs
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Chen, I-Jung; Chang, Chi-Cheng – Computer Assisted Language Learning, 2011
This study investigated whether the modality effect of content presentation modes on students' cognitive load and listening comprehension depends on the moderating effect of the learners' language proficiencies in a mobile learning context. One hundred and sixty-two students majoring in English in a technology university used personal digital…
Descriptors: Electronic Learning, Listening Comprehension, Cognitive Processes, Difficulty Level
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Trew, Jennifer L.; Nelsen, Jacqueline L. – Learning, Media and Technology, 2012
Audience response systems (ARS) are effective tools for improving learning outcomes and student engagement in large undergraduate classes. However, if students do not accept ARS and do not find them to be useful, ARS may be less effective. Predicting and improving student perceptions of ARS may help to ensure positive outcomes. The present study…
Descriptors: Foreign Countries, Learner Engagement, Student Attitudes, Prediction
Rowe-Whyte, Ann-Marie Simone – ProQuest LLC, 2012
This study examined the nature of communication experienced by ethnically diverse students who participated in an online distance education course. A quantitative survey research design was used to gather data from students enrolled in an online distance education course. The research examined whether the independent variables, (a) instructional…
Descriptors: Student Diversity, Online Courses, Distance Education, Statistical Analysis
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Teo, Timothy – Interactive Learning Environments, 2012
This study examined pre-service teachers' self-reported intention to use technology. One hundred fifty-seven participants completed a survey questionnaire measuring their responses to six constructs from a research model that integrated the Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB). Structural equation modeling was…
Descriptors: Foreign Countries, Educational Technology, Structural Equation Models, Computer Uses in Education
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Wu, Will F. W.; Magill, Richard A. – Research Quarterly for Exercise and Sport, 2011
For this study, we investigated the effects of self-controlled practice on learning multiple motor skills. Thirty participants were randomly assigned to self-control or yoked conditions. Participants learned a three-keystroke pattern with three different relative time structures. Those in the self-control group chose one of three relative time…
Descriptors: Learning Strategies, Error Patterns, Learner Controlled Instruction, Self Management
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Laru, Jari; Naykki, Piia; Jarvela, Sanna – Internet and Higher Education, 2012
In this single-case study, small groups of learners were supported by use of multiple social software tools and face-to-face activities in the context of higher education. The aim of the study was to explore how designed learning activities contribute to students' learning outcomes by studying probabilistic dependencies between the variables.…
Descriptors: Web Sites, Electronic Publishing, Cooperative Learning, Group Activities
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Ojokheta, K. O. – Turkish Online Journal of Distance Education, 2010
This study examined the influence of some predictors in the enhancement of persistence and students success in distance education in the two most recognised and respected distance learning institutions in Nigeria--the Distance Learning Institute (DLI) of University of Lagos and Distance Learning Centre of University of Ibadan. The need for this…
Descriptors: Employment Level, Distance Education, Academic Persistence, Student Attitudes
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Suki, Norazah Mohd; Suki, Norbayah Mohd – Turkish Online Journal of Distance Education, 2011
Mobile technologies have enabled a new way of communicating, for whom mobile communications are part of normal daily interaction. This paper explores the proposed and verified Technology Acceptance Model (TAM) that can be employed to explain the acceptance of Mobile Learning (M-learning), an activity in which users access learning material with…
Descriptors: Foreign Countries, Electronic Learning, Internet, Adoption (Ideas)
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