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Segbenya, Moses; Bervell, Brandford; Minadzi, Vincent Mensah; Somuah, Beatrice Asante – Smart Learning Environments, 2022
This study examined perspectives of distance education students on online learning based on their access gadgets (availability and functionality), online presentation or teaching methods, actual use of online learning coupled with its challenges. A quantitative approach and descriptive survey design were adopted for the study. A sample of 1061 was…
Descriptors: Distance Education, Online Courses, COVID-19, Pandemics
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Polat, Murat – International Journal of Education and Literacy Studies, 2022
The COVID-19 Pandemic process has brought with it a climate of uncertainty. This uncertain environment also contains a lot of uncertainty about classroom management for preservice teachers. The main purpose of this study was to reveal the metaphorical perceptions and views of preservice teachers about the source of the uncertainties they encounter…
Descriptors: COVID-19, Pandemics, Preservice Teachers, Student Attitudes
González, Carlos; López, Dany; Calle-Arango, Lina; Montenegro, Helena; Clasing, Paula – ECNU Review of Education, 2022
Purpose: This study aims to explore Chilean students' digital technology usage patterns and approaches to learning. Design/Approach/Methods: We conducted this study in two stages. We worked with one semester learning management systems (LMS), library, and students' records data in the first one. We performed a k-means cluster analysis to identify…
Descriptors: Foreign Countries, Electronic Learning, Technology Uses in Education, Use Studies
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Razzak, Rima Abdul; Al-Shaibani, Tariq; Naguib, Yahya – Advances in Physiology Education, 2022
This an account of student feedback on the distance online tools adopted at the onset of the COVID-19 pandemic for teaching cardiovascular (CVS) physiology to Year 2 medical students within a problem-based learning (PBL) medical curriculum. Students' achievement upon assessment of CVS physiology theory content was also evaluated. Most students…
Descriptors: Physiology, Distance Education, Electronic Learning, Medical Students
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Hershkovitz, Arnon; Tabach, Michal; Cohen, Anat – Journal of Educational Computing Research, 2022
In a large-scale quantitative study that adopted a learning analytics approach, we searched for associations between students' activity in a game-based online mathematics learning environment and their mathematics achievements on a national standardized test. Students were active in the environment throughout the school year, and particularly…
Descriptors: Electronic Learning, Learning Activities, Mathematics Achievement, Elementary School Students
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Özüdogru, Gül – Journal of Learning and Teaching in Digital Age, 2022
This research aimed to investigate the effect of distance education during the COVID-19 pandemic on psychological counselor candidates' self-efficacy perceptions towards online technologies and their motivation for online learning. Single group pretest-posttest model, a quantitative method, was used in the research. The study participants were…
Descriptors: Distance Education, Self Efficacy, Technology Uses in Education, Student Motivation
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Oakley, Grace; Pegrum, Mark; Kheang, Thida; Seng, Krisna – Education and Information Technologies, 2022
This paper reports on a mixed-methods study of the "Total Reading Approach for Children Plus" (TRAC+) program, with a particular focus on its mobile learning element, where tablets and an app called "Aan Khmer" (Read Khmer) were introduced into Cambodian schools to assist 'struggling students' in Grades 1 to 3 learn early…
Descriptors: Electronic Learning, Handheld Devices, Early Reading, Foreign Countries
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Lan, En-Minh – Education and Information Technologies, 2022
English pronunciation training for real-world communication tasks is crucial in EFL learning because it is essential to learners' listening comprehension and speaking competence. As the e-generation emerges, computer-assisted pronunciation training (CAPT) has begun to receive more recognition in academic institutions for pronunciation learning.…
Descriptors: Foreign Countries, College Students, Computer Assisted Instruction, Pronunciation Instruction
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Zhu, Xiaowen – Educational Gerontology, 2022
Older adults' m-learning activities have attracted the attention of scholars because of the heterogeneity of older adults and ever-changing learning needs triggered by technology development. However, a profound division remains between the research framework of m-learning for young people and that for older adults. This research explores the…
Descriptors: Older Adults, Electronic Learning, Learning Motivation, Behavior
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Swaren, Chantelle; Cowden, Chapel; Smith, Wes – portal: Libraries and the Academy, 2022
The COVID-19 pandemic peeled back long-held assumptions about what is wanted, needed, and possible within academia. Many academic libraries had failed to fully imagine the potential uses of online and, in short, missed many opportunities to engage and support users. From this oversight have sprung opportunities to better understand and respond to…
Descriptors: Academic Libraries, Library Services, COVID-19, Pandemics
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Octaberlina, Like R.; Muslimin, Afif I. – Pegem Journal of Education and Instruction, 2022
Particularly in the field of education, technological developments are both quick and vast. Technology such as video conference utilization is a requirement that must be fulfilled. The goals of this study were to: (1) investigate students' perceptions of Jitsi Meet as an effective educational tool; and (2) investigate the impact of Jitsi Meet on…
Descriptors: Videoconferencing, Educational Technology, Student Attitudes, Second Language Learning
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Akyüz, Halil Ibrahim; Erdemir, Mustafa – International Journal of Technology in Education, 2022
Due to the COVID-19 epidemic, courses are carried out online in undergraduate programs and in this study, Web-Based Intelligent Tutoring System (WBITS) was used for online lessons. The aim of the study is to determine the opinions of 144 pre-service science teachers, who have used WBITS in three different undergraduate courses, about the system.…
Descriptors: Preservice Teachers, Intelligent Tutoring Systems, Internet, COVID-19
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Yilmaz, M. Betul; Orhan, Feza; Zeren, S. Gonca – Education and Information Technologies, 2022
People's day-to-day routines have changed drastically since the outbreak of the COVID-19 pandemic. One of the changes to take place has been the transition to online learning due to the changing conditions in learning environments. One of the factors that guide students through learning environments is their emotions. The few existing scales that…
Descriptors: Psychological Patterns, Affective Measures, Electronic Learning, Foreign Countries
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Hwang, Gwo-Jen; Tu, Yun-Fang; Tang, Kai-Yu – International Review of Research in Open and Distributed Learning, 2022
This study reviews the journal publications of artificial intelligence-supported online learning (AIoL) in the Web of Science (WOS) database from 1997 to 2019 taking into account the contributing countries/areas, leading journals, highly cited papers, authors, research areas, research topics, roles of AIoL, and adopted artificial intelligence (AI)…
Descriptors: Artificial Intelligence, Electronic Learning, Educational Research, Data Analysis
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Krishnakumar, Sandeep; Maier, Torsten; Berdanier, Catherine; Ritter, Sarah; McComb, Christopher; Menold, Jessica – Journal of Engineering Education, 2022
Background: During the onset of the COVID-19 crisis, universities rapidly pivoted to online formats and were often unable to adhere to the best practices of online learning highlighted in prior literature. It is well documented that a variety of barriers impeded "normal" educational practices. Purpose/Hypothesis: The purpose of this…
Descriptors: College Freshmen, Student Attitudes, Engineering Education, Introductory Courses
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