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Silva, Laura Ann – ProQuest LLC, 2018
Adult online learners represent the largest demographic in higher education. Academic leaders increasingly use non-designer instructors (NDIs) to meet demands. NDIs have little control over course design, part of teaching presence valued by learners. This quantitative, predictive correlational study investigated (1) to what frequency online…
Descriptors: Electronic Learning, Statistical Analysis, Correlation, Educational Media
Heo, JeongChul; Han, Sumi – Education and Information Technologies, 2018
The purpose of this study is to determine whether the self-directed learning readiness (SDLR) among online students might be significantly predicted by motivation, academic stress, and age. To complete the purpose of this study, the Pearson correlation and multiple-regression are analyzed. The participants for this study are college students who…
Descriptors: Motivation, Independent Study, Online Courses, Electronic Learning
Uppal, Muhammad Amaad; Ali, Samnan; Gulliver, Stephen R. – British Journal of Educational Technology, 2018
e-Learning courses are fast becoming common-place, yet the success of these online courses varies considerably. Since limited research addresses the issue of e-learning quality (ELQ) of service in higher education environments, there is an increasing need to effectively assess ELQ. In this paper, we argue that to obtain a satisfactory e-learning…
Descriptors: Electronic Learning, Educational Quality, Quality Assurance, Reliability
Hammouri, Qais; Abu-Shanab, Emad – International Journal of Information and Communication Technology Education, 2018
E-learning is emerging as the new phenomenon of modern education. Universities are adopting e-learning as a strategy for the improving the teaching/learning process. The primary question addressed in this paper is related to the factors influencing the adoption of e-learning. An integrated model was used to explore the factors influencing…
Descriptors: User Satisfaction (Information), Electronic Learning, Student Satisfaction, Foreign Countries
Ergün, Esin; Avci, Ümmühan – Educational Technology & Society, 2018
This study examines the extent to which knowledge sharing self-efficacy, motivation and sense of community variables predict undergraduate students' knowledge sharing behaviors (knowledge receiving and knowledge giving) in online learning environments. The participants included undergraduate students (N = 284) from two different universities in…
Descriptors: Knowledge Management, Sharing Behavior, Self Efficacy, Sense of Community
Brooker, Abi; Corrin, Linda; de Barba, Paula; Lodge, Jason; Kennedy, Gregor – Australasian Journal of Educational Technology, 2018
Recent scholarly discussions about massive open online courses (MOOCs) highlight pedagogical and practical issues that separate MOOCs from other learning settings, especially how theories of learning translate to MOOC students' motivation, participation, and performance. What is missing from these discussions is the purpose of the MOOC. We report…
Descriptors: Online Courses, Student Motivation, Student Participation, Predictor Variables
Sahawneh, Faris George; Benuto, Lorraine T. – Online Learning, 2018
Servant leadership has the potential to improve student satisfaction within online learning. However, the relationship between servant leadership and student satisfaction in an online environment had not yet been understood at the level of the individual instructor. The purpose of this quantitative, correlational study was to evaluate the…
Descriptors: Student Satisfaction, Statistical Analysis, Correlation, Leadership Styles
Lee, Soon Min; Oh, Yunjin – Journal of Visual Impairment & Blindness, 2017
Introduction: This study examined a mediator role of perceived stress on the prediction of the effects of academic stress on depressive symptoms among e-learning students with visual impairments. Methods: A convenience sample for this study was collected for three weeks from November to December in 2012 among students with visual impairments…
Descriptors: Anxiety, Depression (Psychology), Electronic Learning, Visual Impairments
Zhao, Jingming; Yuping, Wei; Maideen, Ismail; Moe, Zan Khin; Nasirudeen, A. M. A. – Journal of Educational Technology, 2018
The use of smartphone for socialising and learning has become a norm among students in Singapore. Educational institutions are creating lessons and applications for use on mobile platforms. However, the effectiveness of smartphones for learning has not been well studied in Singapore. This study was conducted to understand the association between…
Descriptors: Correlation, Handheld Devices, Telecommunications, Academic Achievement
Choi, Beomkyu – Canadian Journal of Learning and Technology, 2016
The purpose of this study was to examine the relationships between learners' learning strategies and learning satisfaction in an asynchronous online learning environment. In an attempt to shed some light on how people learn in an online learning environment, one hundred and sixteen graduate students who were taking online learning courses…
Descriptors: Graduate Students, Learning Processes, Learning Strategies, Satisfaction
Technology Matters--The Impact of Transactional Distance on Satisfaction in Online Distance Learning
Weidlich, Joshua; Bastiaens, Theo J. – International Review of Research in Open and Distributed Learning, 2018
Transactional distance (TD), the perception of psychological distance between the student and his peers, his instructor/teacher, and the learning content, has long been a prominent construct in research on distance education. Today, distance education primarily takes place over the internet, with technology mediating engagement and communication.…
Descriptors: Technology Uses in Education, Distance Education, Online Courses, Electronic Learning
You, Ji Won – Educational Technology & Society, 2015
This study aimed to investigate the effect of academic procrastination on e-learning course achievement. Because all of the interactions among students, instructors, and contents in an e-learning environment were automatically recorded in a learning management system (LMS), procrastination such as the delays in weekly scheduled learning and late…
Descriptors: Academic Achievement, Time Management, Prediction, Electronic Learning
Mentzer, Bruce; Black, Ellen Lowrie; Spohn, R. Terry – Online Learning, 2015
This study sought to describe the correlation of academic, financial, and social supports to the persistence of a military student population: veterans, active duty and their families. The study also contrasted these relationships with those of nonmilitary students and looked at the results of both groups together to determine how supports…
Descriptors: Military Personnel, Veterans, Academic Persistence, Correlation
Oloyede, Ganiyat Kehinde; Mercy, Ofole Ndidi – Journal of Education and Practice, 2016
This research was designed to investigate the effect of media usage, religiosity and gender on performance in chemistry subject. This study employed survey research design. Two hundred participants (66 males and 134 females) drawn from public Senior Secondary Schools in Ibadan North Local Government Area, Oyo State constituted the study's sample.…
Descriptors: Religious Factors, Gender Differences, Chemistry, Secondary School Students
Oh, Yunjin; Lee, Soon Min – International Review of Research in Open and Distributed Learning, 2016
This study explored whether learning-related anxiety would negatively affect intention to persist with e-learning among students with visual impairment, and examined the roles of three online interactions in the relationship between learning-related anxiety and intention to persist with e-learning. For this study, a convenience sample of…
Descriptors: Electronic Learning, Online Systems, Visual Impairments, Foreign Countries