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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
Bharati, V. Jayendra; Srikanth, R. – International Journal of Learning and Change, 2018
Ubiquitous technologies have a great potential to enrich students' academic experience. Students are more interested in using interactive learning techniques apart from the traditional learning techniques. Several research studies for m-learning has been done in the USA, UK concentrating on students undergoing a graduation degree, especially…
Descriptors: Foreign Countries, Electronic Learning, Adoption (Ideas), Models
Oladejo, Maruff Akinwale; Adetoro, Jeremiah Adeniran; Oyebade, Stephen Adebanjo; Adedoyin, Adenike Omowunmi Fagunwa – Malaysian Online Journal of Educational Sciences, 2018
There has been an increased global attention on the need to make education more flexible and accessible due to the advent of modern mobile technologies. These modern mobile technologies enable people including those with disabilities to receive education anywhere and anytime. This study therefore investigated the behavioural intentions of Nigerian…
Descriptors: Foreign Countries, Disabilities, Student Behavior, Intention
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
Lim, Janine M. – Distance Education, 2016
Self-paced online courses meet flexibility and learning needs of many students, but skepticism persists regarding the quality and the tendency for students to procrastinate in self-paced courses. Research is needed to understand procrastination and delay patterns of students in online self-paced courses to predict successful completion and…
Descriptors: Online Courses, Time Factors (Learning), Pacing, Time Management
Ee, Mong Shan; Yeoh, William; Boo, Yee Ling; Boulter, Terry – Studies in Higher Education, 2018
Time control plays a critical role within the online mastery learning (OML) approach. This paper examines the two commonly implemented mastery learning strategies--personalised system of instructions and learning for mastery (LFM)--by focusing on what occurs when there is an instructional time constraint. Using a large data set from a postgraduate…
Descriptors: Foreign Countries, Graduate Students, Time Management, Electronic Learning
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
Determinants of Student Satisfaction in Online Tutorial: A Study of A Distance Education Institution
Harsasi, Meirani; Sutawijaya, Adrian – Turkish Online Journal of Distance Education, 2018
Education system nowadays tends to utilize online learning, including in higher education. Online learning system becomes a major requirement in implementing learning process, including in Indonesia. Universitas Terbuka has implemented online learning system known as online tutorials to support the distance learning system. One interesting issue…
Descriptors: Foreign Countries, College Students, Student Satisfaction, Online Courses
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
Kazanidis, Ioannis; Theodosiou, Theodosios; Petasakis, Ioannis; Valsamidis, Stavros – Interactive Learning Environments, 2016
Database files and additional log files of Learning Management Systems (LMSs) contain an enormous volume of data which usually remain unexploited. A new methodology is proposed in order to analyse these data both on the level of both the courses and the learners. Specifically, "regression analysis" is proposed as a first step in the…
Descriptors: Foreign Countries, Online Courses, Course Evaluation, Electronic Learning
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
Sharp, Laurie A.; Hamil, Marc – Online Learning, 2018
Much literature has presented evidence that supplemental digital resources enhance student performance with mathematics. The purpose of this study was to explore the impact of a web-adaptive digital resource, Think Through Math©, on student performance with state-mandated annual standardized mathematics assessments. This study utilized a…
Descriptors: Mathematics Achievement, Educational Researchers, Electronic Libraries, Electronic Learning
Buabeng-Andoh, Charles – Interactive Technology and Smart Education, 2018
Purpose: The purpose of this paper is to investigate undergraduate nursing students' use of mobile learning (m-learning) and the factors contributing to their use of m-learning. Design/methodology/approach: In total, 586 nursing students from three universities in Ghana participated in this study. Survey questionnaires were used to collect data.…
Descriptors: Technological Advancement, Health Education, Nursing Students, College Applicants