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Anshita Chelawat; Richal Tuscano; Roshani Prasad; Seema Sant – International Journal of Learning Technology, 2025
This study aims to explore factors predicting the use of e-learning as a sustainable solution in Indian higher education institutions by employing a modified version of the technology acceptance model (TAM). An online questionnaire (n = 200), capturing post-graduate management students from the Mumbai Metropolitan Region, was analysed using…
Descriptors: Educational Technology, Electronic Learning, Graduate Students, Value Judgment
Andreas Hülshoff; Sonja Nonte; Christian Reintjes – Journal of Education for Teaching: International Research and Pedagogy, 2025
The outcomes of information and communications technology (ICT)-assisted teaching can at times be unclear, and this can be challenging, especially for less experienced teachers. This study examined pre-service teachers' uncertainty tolerance regarding the in-classroom use of ICT as well as underlying predictors, related concerns and perceived…
Descriptors: Educational Technology, Technology Uses in Education, Preservice Teachers, Student Attitudes
Adedapo, Adeyemi – International Journal of Education and Literacy Studies, 2020
Several factors have been attributed to learners' underachievement in postgraduate programmes. Two of such factors are gender and entry background of postgraduate distance learners which previous studies have identified in isolation of one another. No previous studies have been reported to have investigated a combination of gender and entry…
Descriptors: Graduate Students, Distance Education, Academic Achievement, Educational Technology
Isaacs, Talia; Hu, Ruolin; Trenkic, Danijela; Varga, Julia – Language Testing, 2023
The COVID-19 pandemic has changed the university admissions and proficiency testing landscape. One change has been the meteoric rise in use of the fully automated Duolingo English Test (DET) for university entrance purposes, offering test-takers a cheaper, shorter, accessible alternative. This rapid response study is the first to investigate the…
Descriptors: Predictive Validity, Educational Technology, Handheld Devices, Language Tests
Chow, Rebeca Isabel – ProQuest LLC, 2019
As higher education continues to integrate technology, the counselor education field has evolved and recognized the importance of graduate students' attitudes towards technology acceptance of a wide array of technology in their training programs (Burt, Gonzalez, Swank, Ascher, & Cunningham, 2011; Kennedy, 2011; Orr, 2011; Sabella, Poynton,…
Descriptors: Counselor Training, Graduate Students, Technology Uses in Education, Educational Technology
Al-Emran, Mostafa; Arpaci, Ibrahim; Salloum, Said A. – Education and Information Technologies, 2020
To the best of our knowledge, much research has been conducted concerning the topic of mobile learning (m-learning) adoption or acceptance. However, examining the continued use of m-learning is still in short supply and calling for further research. To bridge this limitation, this study develops an integrated model through the integration of three…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Telecommunications
Beeson, Eric; Aideyan, Babatunde; O'Shoney, Christy; Bowes, Daniel A.; Ansell, Kerryn L.; Peterson, Holly M. – Universal Journal of Educational Research, 2019
The purpose of the current study was to investigate the sense of community in graduate level distance education programs. This manuscript provides the results of a descriptive analysis of the existing sense of community among students while exploring the most robust prediction model to explain the variation. This cross-sectional analysis included…
Descriptors: Case Studies, Sense of Community, Graduate Students, Educational Technology
Honarzad, Radin; Rassaei, Ehsan – JALT CALL Journal, 2019
This study aims to identify which technology-based out-of-class activities are more commonly used by Iranian EFL learners outside language classrooms. Furthermore, it explored the relationship between the use of technology-based out-of-class language learning activities (TBOCLLAs) by EFL learners and three individual learner characteristics such…
Descriptors: English (Second Language), Second Language Learning, Personal Autonomy, Student Motivation
Hung, Jui-Long; Shelton, Brett E.; Yang, Juan; Du, Xu – IEEE Transactions on Learning Technologies, 2019
Performance prediction is a leading topic in learning analytics research due to its potential to impact all tiers of education. This study proposes a novel predictive modeling method to address the research gaps in existing performance prediction research. The gaps addressed include: the lack of existing research focus on performance prediction…
Descriptors: Prediction, Models, At Risk Students, Identification
Wendt, Jillian L.; Nisbet, Deanna L. – Journal of Research in Education, 2017
This study examined the predictive relationship among international students' sense of community, perceived learning, and end-of-course grades in computer-mediated, U.S. graduate-level courses. The community of inquiry (CoI) framework served as the theoretical foundation for the study. Step-wise hierarchical multiple regression showed no…
Descriptors: Predictor Variables, Foreign Students, Grades (Scholastic), Graduate Students
Shittu, Ahmed Tajudeen; Kareem, Bamidele Wahab; Obielodan, Omotayo Olabo; Fakomogbon, Michael Ayodele – Contemporary Educational Technology, 2017
This study examined predictors of pre-service science teachers' behavioral intention toward e-resources use for teaching in Nigeria. The study used cross-sectional survey research method and a questionnaire with a set of items that measure technology preparedness, perceived usefulness, perceived ease of use and behavioral intention to gather the…
Descriptors: Preservice Teachers, Science Teachers, Student Behavior, Intention
Du, Jianxia – Educational Psychology, 2016
Management of the study environment is crucial to the learning process, and this management in an online class setting is even more challenging. This study investigates models of environmental structuring in online groupwork in China, as reported by 307 graduate students in 80 groups. At the group level, environment management was positively…
Descriptors: Predictor Variables, Correlation, Feedback (Response), Cooperative Learning
Ronau, Robert N.; Rakes, Christopher R.; Bush, Sarah B.; Driskell, Shannon O.; Niess, Margaret L.; Pugalee, David K. – American Educational Research Journal, 2014
We examined 480 dissertations on the use of technology in mathematics education and developed a Quality Framework (QF) that provided structure to consistently define and measure quality. Dissertation studies earned an average of 64.4% of the possible quality points across all methodology types, compared to studies in journals that averaged 47.2%.…
Descriptors: Mathematics Education, Educational Technology, Doctoral Dissertations, Mentors
McKeown, Tui; Anderson, Mary – Education & Training, 2016
Purpose: While educators and students alike are increasingly moving to use on-line technologies, there is still much to be learned about how these tools influence student learning. The purpose of this paper is to present a comparative investigation of the online use of one undergraduate (UG) and two postgraduate (PG) student cohorts undertaking…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Educational Technology
Du, Jianxia; Xu, Jianzhong; Fan, Xitao – Technology, Pedagogy and Education, 2015
This study examined predictive models for students' help seeking in the context of online collaborative groupwork. Results from multilevel analysis revealed that most of the variance in help seeking was at the individual student level, and multiple variables at the individual level were predictive of help-seeking behaviour. Help seeking was…
Descriptors: Help Seeking, Cooperative Learning, Electronic Learning, Group Activities

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