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Zhou, Yizhuo; Zhao, Jin; Zhang, Jianjun – Interactive Learning Environments, 2023
On e-learning platforms, most e-learners didn't complete the course successfully. It means that reducing dropout is a critical problem for the sustainability of e-learning. This paper aims to establish a predictive model to describe e-learners' dropout behavior, which can help the commercial e-learning platforms to make appropriate interventions…
Descriptors: Electronic Learning, Prediction, Dropouts, Student Behavior
Kuadey, Noble Arden; Mahama, Francois; Ankora, Carlos; Bensah, Lily; Maale, Gerald Tietaa; Agbesi, Victor Kwaku; Kuadey, Anthony Mawuena; Adjei, Laurene – Interactive Technology and Smart Education, 2023
Purpose: This study aims to investigate factors that could predict the continued usage of e-learning systems, such as the learning management systems (LMS) at a Technical University in Ghana using machine learning algorithms. Design/methodology/approach: The proposed model for this study adopted a unified theory of acceptance and use of technology…
Descriptors: Foreign Countries, College Students, Learning Management Systems, Student Behavior
Mohammed Jebbari; Bouchaib Cherradi; Soufiane Hamida; Abdelhadi Raihani – Education and Information Technologies, 2024
With the advancements in technology and the growing demand for online education, Virtual Learning Environments (VLEs) have experienced rapid development in recent years. This demand was especially evident during the COVID-19 pandemic. The incorporation of new technologies in VLEs provides new opportunities to better understand the behaviors of…
Descriptors: MOOCs, Algorithms, Computer Simulation, COVID-19
Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
Varun Mandalapu – ProQuest LLC, 2021
Educational data mining focuses on exploring increasingly large-scale data from educational settings, such as Learning Management Systems (LMS), and developing computational methods to understand students' behaviors and learning settings better. There has been a multitude of research dedicated to studying the student learning process, leading to…
Descriptors: Models, Student Behavior, Learning Management Systems, Data Use
Kai, Shimin; Andres, Juan Miguel L.; Paquette, Luc; Baker, Ryan S.; Molnar, Kati; Watkins, Harriet; Moore, Michael – International Educational Data Mining Society, 2017
As higher education institutions develop fully online course programs to provide better access for the non-traditional learner, there is increasing interest in identifying students who may be at risk of attrition and poor performance in these online course programs. In our study, we investigate the effectiveness of an online orientation course in…
Descriptors: Online Courses, Student Behavior, Prediction, Models
Robinson, Leroy – Journal of Marketing for Higher Education, 2017
As the marketplace for higher education changes, attracting and retaining students is of utmost importance. Providing successful course delivery methods (e.g. face-to-face, fully online, hybrid) offers an opportunity for universities to differentiate from each other. This research investigates the relationships involved in student acceptance of…
Descriptors: Success, Online Courses, Delivery Systems, Courseware
Alshare, Khaled A.; El-Masri, Mazen; Lane, Peggy L. – Journal of Information Systems Education, 2015
This paper develops a research model based on the Unified Theory of Acceptance and Use of Technology model (UTAUT) and Hofstede's cultural dimensions to explore factors that influence student effort at learning Enterprise Resource Planning (ERP) systems. A Structural Equation Model (SEM) using LISREL was utilized to validate the proposed research…
Descriptors: Management Information Systems, Adoption (Ideas), Models, College Students
Izberk-Bilgin, Elif; Klein, Barbara D.; Chandra, Charu; Lee, Hei-Wai; Susko, David; Lee, Moses; Zikanov, Oleg – Journal of Case Studies in Education, 2012
Sustainability has been identified as one of the most pressing challenges for business and society. However, research shows that sustainability topics are still not given sufficient attention in higher education, particularly in the undergraduate business curriculum. This paper offers a template for an interdisciplinary, team-taught undergraduate…
Descriptors: Interdisciplinary Approach, Team Teaching, Sustainability, Business Administration Education
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers