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Engin Demir; Huseyin Cevik – Turkish Online Journal of Distance Education, 2025
Students' attitudes towards distance education can be shaped by the compatibility of their learning styles with this new educational environment. The study aimed to investigate whether various variables and e-learning styles predict student's attitudes towards distance education. The present research was conducted on 387 students enrolled in the…
Descriptors: Student Attitudes, Electronic Learning, Educational Technology, Predictor Variables
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Niu, Liwei; Wang, Xinghua; Wallace, Matthew P.; Pang, Hui; Xu, Yanping – Journal of Computer Assisted Learning, 2022
Background: In view of the widespread use of digital technologies in English as a foreign language (EFL) learning and the importance of students' approaches to learning (SAL) and digital competence, as well as the threats of technostress in digital settings, digital EFL learning requires a critical examination. Objectives: This study sought to…
Descriptors: English (Second Language), Educational Technology, Electronic Learning, Second Language Learning
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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
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Fatahi, Somayeh; Shabanali-Fami, Faezeh; Moradi, Hadi – Education and Information Technologies, 2018
The learning style of a learner is an important parameter in his learning process. Therefore, learning styles should be considered in the design, development, and implementation of e-learning environments to increase learners' performance. Thus, it is important to be able to automatically determine learning styles of learners in an e-learning…
Descriptors: Cognitive Style, Educational Technology, Technology Uses in Education, Student Behavior
Alghamdi, Osamah Mohammed – ProQuest LLC, 2018
Online learning has the potential to expand collaborative learning and teaching. It has tremendous potential in the educational field, as it allows people to access computing services to share and edit data over the Internet. Yet few studies investigate the growing impacts of online learning on students' learning skills, such as collaborative…
Descriptors: Foreign Countries, Online Courses, Educational Technology, Technology Uses in Education
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Huang, Yong-Ming – Australasian Journal of Educational Technology, 2015
The use of collaborative technologies in learning has received considerable attention in recent years, but few studies to date have examined the factors that affect sequential and global learners' intention to use such technologies. Previous studies have shown that the learners of different learning styles have different needs for educational…
Descriptors: Technology Uses in Education, Intention, Performance Factors, Sequential Learning
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Al-Azawei, Ahmed; Lundqvist, Karsten – Electronic Journal of e-Learning, 2015
Online learning constitutes the most popular distance-learning method, with flexibility, accessibility, visibility, manageability and availability as its core features. However, current research indicates that its efficacy is not consistent across all learners. This study aimed to modify and extend the factors of the Technology Acceptance Model…
Descriptors: Student Attitudes, Online Courses, Psychometrics, Questionnaires
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Lai, Chun; Wang, Qiu; Lei, Jing – Computers & Education, 2012
A sound understanding of technology use from the learners' perspective is crucial. This study intends to contribute to our understanding on student technology use by focusing on identifying the factors that influence students' adoption of technology for learning and the relationships between these factors. Students studying at a Hong Kong…
Descriptors: Undergraduate Students, Foreign Countries, Educational Technology, Teaching Methods
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Liu, Ming-Chi; Huang, Yueh-Min; Kinshuk; Wen, Dunwei – Educational Technology Research and Development, 2013
It is critical that students learn how to retrieve useful information in hypermedia environments, a task that is often especially difficult when it comes to image retrieval, as little text feedback is given that allows them to reformulate keywords they need to use. This situation may make students feel disorientated while attempting image…
Descriptors: Navigation (Information Systems), Online Searching, Hypermedia, Predictor Variables
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Chen, Chih-Ming; Sun, Ying-Chun – Computers & Education, 2012
Multimedia materials are now increasingly used in curricula. However, individual preferences for multimedia materials based on visual and verbal cognitive styles may affect learners' emotions and performance. Therefore, in-depth studies that investigate how different multimedia materials affect learning performance and the emotions of learners…
Descriptors: Video Technology, Animation, Multimedia Materials, Learning Processes
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Bolliger, Doris U.; Supanakorn, Supawan – British Journal of Educational Technology, 2011
This study examined the effects of learning styles on learner perceptions of the use of interactive online tutorials. Learners were categorised into five learning style categories and four learning modalities. The responses to a questionnaire with four survey dimensions were analysed in order to ascertain differences based on learning styles,…
Descriptors: Assignments, Cognitive Style, Learning Modalities, Researchers
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Papadopoulos, Pantelis M.; Demetriadis, Stavros N.; Stamelos, Ioannis G.; Tsoukalas, Ioannis A. – Multicultural Education & Technology Journal, 2010
Purpose: The purpose of this paper is to explore the impact of question prompts on student learning in relation to their learning styles. The context of the study is technology-enhanced learning in an ill-structured domain. Design/methodology/approach: The study conditions were the same for all the students in the four learning style groups.…
Descriptors: Cognitive Style, Student Attitudes, Prompting, Predictor Variables
Mayben, Robert Edwin – ProQuest LLC, 2010
The purpose of this study was to investigate how the instructional use of GPS through instructional geocaching activities engages students and promotes achievement in a middle school social studies classroom. The impact of instructional geocaching on addressing the needs of students with various learning styles was also examined. In addition, the…
Descriptors: Learner Engagement, Experimental Groups, Control Groups, Cognitive Style
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Lu, Hsi-Peng; Chiou, Ming-Jen – British Journal of Educational Technology, 2010
This study investigated the impact of contingent variables on the relationship between four predictors and students' satisfaction with e-learning. Five hundred and twenty-two university students from 10 intact classes engaging in online instruction were asked to answer questionnaires about their learning styles, perceptions of the quality of the…
Descriptors: Electronic Learning, Online Courses, Program Effectiveness, Statistical Analysis
Shinnick, Mary Ann – ProQuest LLC, 2010
Public health relies on well trained nurses and clinical experience is an important component of that training. However, clinical experience training for student nurses also has significant challenges, as it can place patients at risk. Also it is difficult to schedule/predict patient conditions and procedures. Human patient simulation (HPS) can…
Descriptors: Nursing Students, Cognitive Style, Self Efficacy, Public Health
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