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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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So, Joseph Chi-Ho; Ho, Yik Him; Wong, Adam Ka-Lok; Chan, Henry C. B.; Tsang, Kia Ho-Yin; Chan, Ada Pui-Ling; Wong, Simon Chi-Wang – IEEE Transactions on Learning Technologies, 2023
Generic competence (GC) development is an integral part of higher education to provide holistic education and enhance student career development. It also plays a critical role in complementing the curriculum. Many tertiary institutions provide various GC development activities (GCDA). Moreover, institutions strongly need to further understand…
Descriptors: Predictor Variables, Higher Education, Online Courses, Correlation
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Clemente Rodríguez-Sabiote; Ana T. Valerio-Peña; Roberto A. Batista-Almonte; Álvaro M. Úbeda-Sánchez – International Review of Research in Open and Distributed Learning, 2024
The global pandemic caused by the SARS-CoV-2 virus brought about a true revolution in the predominant teaching-learning processes (i.e., face-to-face environment) that had been implemented up to that point. In this regard, virtual teaching-learning environments (VTLEs) have gained unprecedented significance. The main objectives of our research…
Descriptors: Electronic Learning, College Students, Online Courses, Models
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Pessi Lyyra; Sanna Anttonen; Tomi Waselius – European Journal of Open, Distance and E-Learning, 2024
A major challenge for distance learning in higher education is supporting course completion. Counteracting completion risk factors requires investigating their significance across (non)completion stages. We tested the predictability of known risk factors at each completion stage. Not initiating was explained by available time, low motivation and…
Descriptors: Distance Education, Open Education, Higher Education, Online Courses
Lori Sue Maxwell – ProQuest LLC, 2022
Increased demand in the online environment prompted IHEs to evaluate if student feelings of connectedness can predict student satisfaction. The purpose of this quantitative correlational predictive study was to examine if and to what extent student comfort, community, facilitation, and collaboration predict student satisfaction for undergraduate…
Descriptors: Undergraduate Students, Electronic Learning, Psychological Patterns, Student Attitudes
Nate S. Brophy – ProQuest LLC, 2023
This dissertation implements self-determination theory to examine learning environments conducive to student motivation in higher education. Specifically, this work is concerned with measuring the satisfaction and frustration of students' three basic psychological needs (BPNs), the need for autonomy, relatedness, and competence (ARC). To do so,…
Descriptors: Psychological Needs, Higher Education, Structural Equation Models, Introductory Courses
Danielle Lawson – ProQuest LLC, 2022
There is a growing demand for online education; however, online programs yield consistently lower student retention rates and student success. Students in online programs are typically nontraditional students from underrepresented populations in higher education. The purpose of this nonexperimental quantitative study was to determine whether…
Descriptors: Online Courses, School Holding Power, Success, Competency Based Education
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Tella, Adeyinka; Tsabedze, Vusi; Ngoaketsi, Joseph; Enakrire, Rexwhite Tega – Journal of Library & Information Services in Distance Learning, 2021
This study investigated predictors of Massive Online Open Courses (MOOCs) utilization by distance education librarians and drew out implications on library services in distance learning in Eswatini'. Eswatini is a small country in the Southern part of Africa where only a few studies on MOOCs have been conducted focusing on perceived usefulness,…
Descriptors: Value Judgment, Reputation, Institutional Characteristics, Tutors
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Weidlich, Joshua; Kalz, Marco – International Journal of Educational Technology in Higher Education, 2021
In 2020, Higher Education institutions were pressed to swiftly implement online-based teaching. Among many challenges associated with this, lecturers in Higher Education needed to promptly and flexibly adapt their teaching to these circumstances. This investigation adopts a resilience framing in order to shed light on which specific challenges…
Descriptors: Distance Education, Predictor Variables, Higher Education, Resilience (Psychology)
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Lee, Jeonghyun; Soleimani, Farahnaz; Irish, India; Hosmer, John, IV; Soylu, Meryem Yilmaz; Finkelberg, Roy; Chatterjee, Saurabh – Online Learning, 2022
In this study, we work towards a strategy to measure and enhance the quality of interactions in discussion forums at scale. We present a machine learning (ML) model which identifies the phase of cognitive presence exhibited by a student's post and suggest future applications of such a model to help online students develop higher-order thinking. We…
Descriptors: Online Courses, Models, Thinking Skills, Computer Mediated Communication
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Barnett, Donald E. – Journal of Leadership Education, 2019
Online higher education has rapidly expanded in the United States and displays a great opportunity for growth. Coupled with the growth of e-learning is the need for adjunct faculty to satisfy the need for additional online classes. Despite the importance of online adjunct faculty, little research has been performed to determine their work…
Descriptors: Leadership Styles, Questionnaires, Transformational Leadership, Predictor Variables
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Tsang, Jenny T. Y.; So, Mike K. P.; Chong, Andy C. Y.; Lam, Benson S. Y.; Chu, Amanda M. Y. – Education Sciences, 2021
The global coronavirus disease (COVID-19) outbreak forced a shift from face-to-face education to online learning in higher education settings around the world. From the outset, COVID-19 online learning (CoOL) has differed from conventional online learning due to the limited time that students, instructors, and institutions had to adapt to the…
Descriptors: COVID-19, Pandemics, Online Courses, Educational Technology
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Pozón-López, I.; Kalinic, Zoran; Higueras-Castillo, Elena; Liébana-Cabanillas, Francisco – Interactive Learning Environments, 2020
The purpose of this study is to classify the predictors of satisfaction and intention to use in Massive Open Online Courses (MOOC). Informed by a scientific literature review, this work poses a behavioral model to explain intention to use via various constructs. To this end, the authors have carried out a study through an online survey of Spanish…
Descriptors: Online Courses, Large Group Instruction, Predictor Variables, Student Satisfaction
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Torun, Emel Dikbas – Open Praxis, 2020
The purpose of this study was to examine the relationship between e-learning readiness and academic achievement in an online course in higher-level education. The survey method was employed when collecting the study data, and the data-collection instrument used was the E-Learning Readiness Scale. The scale comprises 33 items and six…
Descriptors: Electronic Learning, Distance Education, Higher Education, Learning Readiness
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Jokhan, Anjeela; Sharma, Bibhya; Singh, Shaveen – Studies in Higher Education, 2019
Early warning systems are being used to assist students in their studies as well as understanding student behaviour and performance better. A home-grown EWS plug-in for Moodle was used to predict the student performance in a first year IT literacy course at University of the South Pacific. The alert tool was designed to capture student logins,…
Descriptors: Higher Education, College Students, Online Courses, At Risk Students
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