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Showing 1 to 15 of 24 results Save | Export
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Emine Cabi – Education and Information Technologies, 2025
Learning Management System (LMS) can track student interactions with digital learning resources during an online learning activity. Learners with different goals, motivations and preferences may exhibit different behaviours when accessing these materials. These different behaviours may further affect their learning performance. The purpose of this…
Descriptors: Academic Achievement, Electronic Learning, Learning Management Systems, Student Behavior
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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
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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
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Samuel Nii Boi Attuquayefio; David Aboagye-Darko; Amanda Quist Okronipa – International Journal of Educational Management, 2025
Purpose: Through the lens of the information systems success model, self-determination theory, and TAM2, this study proposes and tests an integrative model to investigate students' satisfaction with the use of e-learning systems in higher education institutions in a developing country context. Design/methodology/approach: This study adopted a…
Descriptors: Student Satisfaction, Electronic Learning, Learning Management Systems, Developing Nations
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Bessadok, Adel; Abouzinadah, Ehab; Rabie, Osama – Interactive Technology and Smart Education, 2023
Purpose: This paper aims to investigate the relationship between the students' digital activities and their academic performance through two stages. In the first stage, students' digital activities were studied and clustered based on the attributes of their activity log of learning management system (LMS) data set. In the second stage, the…
Descriptors: Learning Activities, Academic Achievement, Learning Management Systems, Data Analysis
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Shard; Kumar, Devesh; Koul, Sapna; Siringoringo, Hotniar – IEEE Transactions on Learning Technologies, 2023
Students' and instructors' adoption of "e-learning management systems (e-LMSs)" is critical to their success in a "virtual learning environment." Students can use "e-learning" to obtain instructional materials to supplement "traditional classroom" instruction. This study intends to highlight the important…
Descriptors: Foreign Countries, Students, Behavior, Intention
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Dapeng Liu; Lemuria Carter; Jiesen Lin – Online Learning, 2024
The COVID-19 pandemic precipitated a global shift to fully remote learning via learning management systems (LMS). Despite this significant shift, there has been a paucity of research exploring how students of varying academic performance engage with online learning resources. This study investigates the utilization of LMS among students with…
Descriptors: Learning Management Systems, COVID-19, Pandemics, Electronic Learning
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Mohd Hanafi Azman Ong; Nur Syafikah Ibrahim – International Journal of Information and Learning Technology, 2024
Purpose: Since there is lack of studies in determine factors that affecting enjoyment sentiment when using online learning system, this study aims to explore the antecedents of perceived online learning enjoyment by using extended technology acceptance model (TAM) and its effect on behavioral intentions (BIN) among higher education institutions…
Descriptors: Electronic Learning, Positive Attitudes, Undergraduate Students, Public Colleges
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Yu-Yin Wang; Yu-Wei Chuang – Interactive Learning Environments, 2024
A review of the literature shows that much academic effort has been expended studying information system usage and information technology adoption. However, these theories/models based on psychological research are not specific to the virtual reality context and may not fully capture the nature of virtual reality-based learning system (VR-BLS)…
Descriptors: Computer Simulation, Electronic Learning, Technology Uses in Education, Learning Management Systems
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Na-Ra Nam; Sue-Yeon Song – Innovations in Education and Teaching International, 2025
This empirical study uses a random forest algorithm to examine the factors that influence learners' persistence in online learning at a prominent Korean institution. The data were collected from students who began their studies in Spring 2021, and encompassed a range of variables including individual attributes, academic engagement, academic…
Descriptors: Adult Students, Academic Persistence, Foreign Countries, Influences
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Ikhsan, Ridho Bramulya; Prabowo, Hartiwi; Yuniart; Simamora, Bachtiar; Ruan, Ximing; Kumar, Vikas – Journal of Educators Online, 2023
A mobile learning management system (mobile LMS) facilitates the interaction between lecturers and students to transfer knowledge flexibly. With the high possibility of universities adopting a mobile LMS into their learning systems, predicting student acceptance of mobile LMS is critical. Based on an extension of the unified theory of acceptance…
Descriptors: Foreign Countries, Electronic Learning, Distance Education, College Students
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Gomathy Ramaswami; Teo Susnjak; Anuradha Mathrani – Journal of Learning Analytics, 2023
Learning Analytics Dashboards (LADs) are gaining popularity as a platform for providing students with insights into their learning behaviour patterns in online environments. Existing LAD studies are mainly centred on displaying students' online behaviours with simplistic descriptive insights. Only a few studies have integrated predictive…
Descriptors: Learner Engagement, Learning Analytics, Electronic Learning, Student Behavior
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Legramante, Douglas; Azevedo, Ana; Azevedo, Jose Manuel – International Journal of Information and Learning Technology, 2023
Purpose: This paper aims to analyse the factors that influence the satisfaction and intention of continuity of use, of teachers and students, regarding using Moodle in undergraduate courses in one Campus at the Federal Institute of Rondônia in Brazil. The starting point was an integration of DeLone and McLean's Information Systems Success Model…
Descriptors: Technology Integration, Undergraduate Students, Learning Management Systems, Student Attitudes
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Lee, Youngjin – International Journal on E-Learning, 2023
This study investigates how the course format change caused by covid-19 pandemic affected learning behaviors and performance of college students enrolled in a large introductory history course. Clickstream log files capturing how students were interacting with online learning contents were analyzed to identify the learning behaviors of students…
Descriptors: Educational Change, Student Behavior, Academic Achievement, COVID-19
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Kai Li – International Association for Development of the Information Society, 2023
Assessing students' performance in online learning could be executed not only by the traditional forms of summative assessments such as using essays, assignments, and a final exam, etc. but also by more formative assessment approaches such as interaction activities, forum posts, etc. However, it is difficult for teachers to monitor and assess…
Descriptors: Student Evaluation, Online Courses, Electronic Learning, Computer Literacy
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