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Showing 1 to 15 of 49 results Save | Export
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Ghai, Akanksha; Tandon, Urvashi – Education and Information Technologies, 2023
The current study investigates the interaction of Gamification, and Instructional Design to enhance the Usability of e-Learning in higher education programs. The study also examines the mediating role of Instructional design. Data were collected from a self-structured questionnaire from the academicians and was analyzed through Structural Equation…
Descriptors: Gamification, Instructional Design, Usability, Electronic Learning
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El-aasar, Said Abdelmawgoud; Farghali, Gomaa Farouk – International Journal of Education in Mathematics, Science and Technology, 2022
In the light of the accelerating trends in recent years towards the adoption of e-learning and its delivery platforms, e-learning has become a strategic solution to face many challenges, especially those imposed by the coronavirus pandemic (COVID-19). The findings of previous studies revealed the effectiveness of e-learning in reducing negative…
Descriptors: COVID-19, Pandemics, Educational Technology, Usability
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Kaur, Irameet; Joordens, Steve – International Journal on E-Learning, 2021
The rapid surge of digitalization in the education sector has redefined the dynamics of the modern classroom. In a world that embraces convenience, online learning has established its own relevance and has been a subject of considerable interest to researchers worldwide. The majority of studies have focused upon factors that make or break the…
Descriptors: Electronic Learning, Technology Uses in Education, Learning Experience, Predictor Variables
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Shishakly, Rima – EURASIA Journal of Mathematics, Science and Technology Education, 2021
Universities benefit from the merging of classroom lecturing and the use of technological resources to provide an innovative environment for their students. E-learning resources facilitate the process of teaching and learning. Although students use these resources widely, their usage behaviours and the factors the dominate the instructor-students…
Descriptors: Electronic Learning, Undergraduate Students, Private Colleges, Technology Integration
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Foung, Dennis; Chen, Julia – Electronic Journal of e-Learning, 2019
In recent years, research using learning analytics to predict learning outcomes has begun to increase. This emerging field of research advocates the use of readily-available data to inform teaching and learning. The current case study adopts a learning analytics approach to evaluate the online learning package of an academic English course in a…
Descriptors: Foreign Countries, Blended Learning, Electronic Learning, English for Academic Purposes
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Kauffman, Heather – Research in Learning Technology, 2015
Students perceive online courses differently than traditional courses. Negative perceptions can lead to unfavourable learning outcomes including decreased motivation and persistence. Throughout this review, a broad range of factors that affect performance and satisfaction within the online learning environment for adult learners will be examined…
Descriptors: Electronic Learning, Predictor Variables, Academic Achievement, Success
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Li, Nai; Marsh, Vicky; Rienties, Bart – Decision Sciences Journal of Innovative Education, 2016
A key concern for most institutions and instructors is whether students are satisfied with their learning experience. However, relatively few studies have unpacked what the key drivers for learner satisfaction are in blended and online courses. Using logistical regression modelling, learner satisfaction data of 62,986 learners in 401 undergraduate…
Descriptors: Foreign Countries, Undergraduate Students, Student Attitudes, Satisfaction
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McGee, Patricia; Valdes, Erin; Bullis, Danica – International Journal on E-Learning, 2016
While online course offerings have steadily risen over the last decade and it is estimated that 32% of college students have taken an online course (Allen & Seaman, 2013), the process of preparing students for blended and online courses has varied and is inconsistent across institutions. Attrition rates for online courses have been…
Descriptors: Blended Learning, Electronic Learning, Online Courses, College Students
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Eom, Sean B.; Ashill, Nicholas – Decision Sciences Journal of Innovative Education, 2016
A stream of research over the past decade that identifies predictors of e-learning success suggests that there are several critical success factors (CSFs) that must be managed effectively to fully realize promise for e-learning. Grounded in constructivist learning theories, this study advances previous work on CSFs in university online education.…
Descriptors: Electronic Learning, Learning Processes, Outcomes of Education, Distance Education
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Brooks, Catherine F.; Young, Stacy L. – Technology, Pedagogy and Education, 2015
This research focused on teacher communication behaviour as an influential factor in students' educational experiences. This study examined students' perceptions of emotion (involving teachers' emotional support, students' emotional work and students' positive emotional valence toward class and teacher) as influenced by a variety of predicting…
Descriptors: Online Courses, Electronic Learning, Teacher Behavior, Virtual Classrooms
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Casteleyn, Jordi; Mottart, André; Valcke, Martin – Technology, Pedagogy and Education, 2013
There is abundant educational research indicating that graphic organisers (knowledge maps, concept maps, or mind maps) have a beneficial impact on learning, but hardly any research has examined this in the context of presentations. This study therefore investigated how graphic organisers -- as delivered via presentation software -- affect learning…
Descriptors: Instructional Materials, Intermode Differences, Multimedia Instruction, Electronic Learning
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Kim, Jin-Young – Computers & Education, 2012
This study explores and describes different viewpoints on blended e-Education by using Q methodology to identify students' perspectives and classify them into perceptional types. It is also designed to examine possible relationships among learner's perceptional type, characteristics (i.e., academic self-efficacy, interest in blended e-Education,…
Descriptors: Foreign Countries, Undergraduate Students, College Instruction, Self Efficacy
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Miller, Charles – Distance Education, 2011
The purpose of this study has been to examine the impacts of aesthetic design on learner experience in an e-assessment environment, specifically on cognitive load and task performance. Sixty-six postsecondary students were randomly assigned to one of two aesthetic design configurations of the e-assessment environment: (1) an environment with low…
Descriptors: Experiential Learning, Aesthetics, Evaluation, Cognitive Processes
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Sansone, Carol; Fraughton, Tamra; Zachary, Joseph L.; Butner, Jonathan; Heiner, Cecily – Educational Technology Research and Development, 2011
Successful online students must learn and maintain motivation to learn. The Self-regulation of Motivation (SRM) model (Sansone and Thoman 2005) suggests two kinds of motivation are essential: Goals-defined (i.e., value and expectancy of learning), and experience-defined (i.e., whether interesting). The Regulating Motivation and Performance Online…
Descriptors: Electronic Learning, Student Motivation, Online Courses, Learning Motivation
Bose, Eric V. – ProQuest LLC, 2012
This study sought to examine and extend the existing knowledge of IBSTPI competencies of instructional design (International Board of Standards for Training, Performance and Instruction, 2000), the instructional rubric standard expectations of Quality Matters (2010), the identified categories of online learning affordances (Kirschner, Strijbos,…
Descriptors: Instructional Design, Standards, Scoring Rubrics, Educational Quality
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