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Sönmez, Selami; Korucuk, Murat – Shanlax International Journal of Education, 2023
In this study, students' e-learning styles (ELS) and attitudes towards online learning were examined. Besides, it was also aimed to reveal the relationship between students' ELS and their attitudes towards online learning. Another of the main aims of the study is; the aim of this study is to explain the effect of university students' e-learning…
Descriptors: Educational Technology, Electronic Learning, Student Attitudes, Cognitive Style
Oliwa, Robert – Journal of Interactive Learning Research, 2022
The study examined the relationship between student satisfaction with online learning and the intelligence types postulated by Howard Gardner in the multiple intelligences theory. Student satisfaction, being a multifaceted construct, is contingent on an array of factors in an educational setting. Additionally, the introduction of an online…
Descriptors: Student Satisfaction, Multiple Intelligences, Online Courses, Electronic Learning
Yang, Tzu-Chi; Chen, Sherry Y. – Interactive Learning Environments, 2023
Individual differences exist among learners. Among various individual differences, cognitive styles can strongly predict learners' learning behavior. Therefore, cognitive styles are essential for the design of online learning. There are a variety of cognitive style dimensions and overlaps exist among these dimensions. In particular, Witkin's field…
Descriptors: Student Behavior, Educational Technology, Electronic Learning, Cognitive Style
Gina Tsz-Ching Lau – ProQuest LLC, 2024
The rise of virtual learning established e-learning as an emerging education delivery method (Jones et al., 2022). One of the barriers to virtual education was the lack of insight into the quality of students' online learning experience. For instance, without an active instructor to clarify the course content, virtual learners viewed instructional…
Descriptors: Online Courses, Mathematics Instruction, Electronic Learning, Educational Practices
Miller, Michael T. – Online Submission, 2021
Adult learners have more options for enrolling in postsecondary education than ever before, and they are able to use their learning style preference in deciding which program best meets their needs. For some of these students, those programs are fully online, and for others, there is minimal use of technology. As technology grows and become more…
Descriptors: Sense of Community, Adult Students, Electronic Learning, College Students
Zeynep Tatli; Ahmet Gülay; Bahar Muradoglu; Seyma Nur Bekar – Journal of Educational Technology and Online Learning, 2023
This embedded design mixed-method study aimed to evaluate the teaching materials developed by primary school teacher candidates using Web 2.0 tools in line with their learning styles. The participants comprised 60 primary school teacher candidates identified via purposive sampling. The data were collected with the Maggie McVay Lynch Learning Style…
Descriptors: Elementary School Teachers, Instructional Materials, Electronic Learning, Online Courses
Sarika Sharma; Jatinderkumar R. Saini – Interactive Learning Environments, 2024
During the COVID-19 pandemic period of almost two years, online teaching was adopted by Higher Educational Institutes (HEIs) mostly as an emergency measure to maintain endurance in teaching-learning activities in academics. Although a lot of research works have focussed on the teaching-learning strategies deployed during the pandemic period, the…
Descriptors: Online Courses, Electronic Learning, Cognitive Ability, Cognitive Style
Wijaya, Adi; Setiawan, Noor Akhmad; Shapiai, Mohd Ibrahim – Electronic Journal of e-Learning, 2023
This study aims to provide a comprehensive overview of the current state and potential future research in learning style detection. With the increasing number and diversity of research in this area, a quantitative approach is necessary to map out current themes and identify potential areas for future research. To achieve this goal, a bibliometric…
Descriptors: Bibliometrics, Cognitive Style, Diagnostic Tests, Content Analysis
Lin, Lin; Barber, Krystal A. – Excelsior: Leadership in Teaching and Learning, 2022
This paper outlines instructional strategies and course projects that demonstrate multiple means of engagement, representation, action, and expression, the essential principles of the Universal Design for Learning (UDL). The authors first share specific practices and examples related to each of the essential principles of UDL. Next, three projects…
Descriptors: Learner Engagement, Access to Education, Teaching Methods, Preservice Teacher Education
Zhang, Yuxiong – Contemporary Educational Technology, 2022
The present study aimed to investigate the ownership and usage of Tablets among Chinese foreign language students. Adopted a quantitative approach, this research was considered a case study with exploratory nature. The data were collected from a self-reported questionnaire between May 31st and June 6th, and 276 valid responses were analyzed…
Descriptors: Tablet Computers, Foreign Countries, Second Language Learning, Electronic Learning
Mu, Su; Cui, Meng; Wang, Xiao Jin; Qiao, Jin Xiu; Tang, Dong Mei – Interactive Technology and Smart Education, 2019
Purpose: This study aims to use eye-tracking technology to conduct an empirical study about online learning process analysis, thus aiming to understand the attentional preferences and learning paths in online learners. Design/methodology/approach: With eye movement tracking and data analysing technology, the Tobii X120 eye-tracking instrument,…
Descriptors: Attention, Preferences, Electronic Learning, Eye Movements
Sim, Siew-Chen; Gan, Siew-Wei; Tang, Yu-Hoe; Sarma, Vengadeshvaran J. – Journal of Further and Higher Education, 2023
This study examines the learning experiences including academic performance and assessments of Foundation students at a British University's campus in Malaysia during the first year of the COVID-19 pandemic. A focus on foundation students is important because First-Year Experience is crucial to their academic success in higher education. Using a…
Descriptors: Foreign Countries, College Freshmen, COVID-19, Pandemics
Yurdal, Mustafa Onur; Sahin, Erkan Melih; Aytug Kosan, Aysen Melek; Toraman, Cetin – Turkish Online Journal of Distance Education, 2021
This study aims at determining students' attitudes towards distance education/online learning through a scale developed by the authors and determine the relationship between these attitudes and e-learning styles. The study carried out on students of Canakkale Onsekiz Mart University Faculty of Medicine using the online system of the university,…
Descriptors: Foreign Countries, Medical Students, Student Attitudes, Distance Education
Radhamani, Rakhi; Kumar, Dhanush; Nizar, Nijin; Achuthan, Krishnashree; Nair, Bipin; Diwakar, Shyam – Education and Information Technologies, 2021
COVID-19 pandemic has brought uncertainty in educational response, skilling methods, and training practices among teachers and institutions. Even before the pandemic shutdowns, the incorporation of virtual laboratories within classroom education had brought transformations in teaching laboratory courses. Virtual laboratories were integrated as…
Descriptors: Laboratory Experiments, Skill Development, Virtual Classrooms, Electronic Learning
Kamal, Anju; Radhakrishnan, Souhreda – Education and Information Technologies, 2019
Differences in styles of learning have become important considerations at all levels of education over the last several years. Examining college students' preferred style of learning is useful for course design and effective instructional methods. Using the Felder-Silverman Index of Learning Styles (ILS), and MBTI Inventories we investigate the…
Descriptors: Cognitive Style, Personality Traits, Preferences, Electronic Learning