Publication Date
In 2025 | 2 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 10 |
Since 2016 (last 10 years) | 11 |
Since 2006 (last 20 years) | 12 |
Descriptor
College Students | 12 |
Learning Management Systems | 12 |
Predictor Variables | 12 |
Foreign Countries | 10 |
Electronic Learning | 6 |
Intention | 5 |
Student Attitudes | 5 |
Usability | 5 |
Student Behavior | 4 |
Value Judgment | 3 |
Academic Achievement | 2 |
More ▼ |
Source
Author
Adjei, Laurene | 1 |
Agbesi, Victor Kwaku | 1 |
Ahmet Murat Uzun | 1 |
Al-Shargabi, Bassam | 1 |
Ali, Umair | 1 |
Amani, Masoumeh | 1 |
Ankora, Carlos | 1 |
Ashrafi, Amir | 1 |
Azad, Nasreen | 1 |
Bensah, Lily | 1 |
Christie Lynne Codod | 1 |
More ▼ |
Publication Type
Journal Articles | 11 |
Reports - Research | 10 |
Dissertations/Theses -… | 1 |
Information Analyses | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 12 |
Postsecondary Education | 12 |
Adult Education | 1 |
Audience
Location
Finland | 1 |
Ghana | 1 |
Guyana | 1 |
Indonesia (Jakarta) | 1 |
Iran (Tehran) | 1 |
Philippines | 1 |
Saudi Arabia | 1 |
South Africa | 1 |
South Korea | 1 |
Turkey | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
Ahmet Murat Uzun; Erhan Üna; Selcan Kilis – Educational Process: International Journal, 2024
Background/purpose: Widespread adoption of e-learning was triggered worldwide during the COVID-19 pandemic and modern higher education institutions dedicated significant resources to the use of diverse e-learning systems. However, to maximize the benefits of these investments, it is crucial that the degree to which end-users accept and continue…
Descriptors: Electronic Learning, COVID-19, Pandemics, Learning Management Systems
Shahzadi, Irram; Ali, Umair – Pakistan Journal of Distance and Online Learning, 2022
This study intends to inspect the relationship between e-learner's Self Efficacy of Learning Management System (SELMS) usage and Motivational Regulation Strategies (MRSs) which are Interest Enhanced Strategies (IES) And Goal-Oriented Strategies (GOS). Moreover, the moderating impact of academic level was also investigated. A total of 119…
Descriptors: Learning Management Systems, Self Efficacy, Distance Education, Motivation
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
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
Shanomae Rose – i.e.: inquiry in education, 2024
The COVID-19 pandemic necessitated the use of technology such as Moodle in course delivery to facilitate student engagement. This research explored how lecturers delivered courses through Moodle and how students perceived interaction with instructors, content, and peers via Moodle and the influence on student satisfaction. This mixed-method…
Descriptors: Teacher Attitudes, Student Attitudes, Learning Management Systems, COVID-19
Joseph Lobo; Kirth Teodosio; Kristia Estilo; Michael Achas; Johnlenon Aliser; Christie Lynne Codod – Journal of Educators Online, 2025
This predictive-causal study determined the factors affecting students' Behavioral Intention (BI) and Actual Use (AU) of Canvas Learning Management System (LMS) and Zoom for both synchronous and asynchronous classes in a private higher education institution in the Philippines adopting Technology Acceptance Mode (TAM). After surveying 496 students,…
Descriptors: Learning Management Systems, Videoconferencing, Physical Activities, Health Promotion
Hakami, Tahani Ali; Al-Shargabi, Bassam; Sabri, Omar; Khan, Syed Md Faisal Ali – Journal of Educators Online, 2023
The information revolution has transformed higher education. After the COVID-19 pandemic, teachers and instructors were encouraged to improve technology-enhanced teaching methods. Furthermore, various factors influenced the adoption of internet and digital-based technologies as an aspect of teaching methodology, including its usefulness, ease of…
Descriptors: Foreign Countries, Educational Technology, Technology Integration, Electronic Learning
Ashrafi, Amir; Zareravasan, Ahad; Rabiee Savoji, Sogol; Amani, Masoumeh – Interactive Learning Environments, 2022
In the last decades, universities and higher education institutes have widely employed a learning management system (LMS) to monitor and manage electronic learning and teaching. Contrary to the significant role of LMS in educational settings, most research has focused on initial acceptance, and few attempts have been made to investigate factors…
Descriptors: College Students, Intention, Learning Management Systems, Educational Technology
Jongile, Sonwabo – International Journal on E-Learning, 2022
The identification of predictor variables for students at-risk of dropping out of university has received increased attention in higher education settings internationally concerning the context of origin in which they are developed and the different academic context in which they are introduced, often lacking schema-theoretic perspectives to offer…
Descriptors: Predictor Variables, At Risk Students, Potential Dropouts, College Students
Morenike Adebodun – ProQuest LLC, 2020
The purpose of this study was to examine the predictive power of Academic and Learning Analytics models on the persistence, retention, and graduation rates for students enrolled in higher education institutions in the United States. Specifically, this study is concerned with the relationships between the present usage of Academic and Learning…
Descriptors: Predictor Variables, Learning Analytics, Academic Achievement, Higher Education
Islam, A. K. M. Najmul; Azad, Nasreen – International Journal of Information and Learning Technology, 2015
Purpose: The purpose of this paper is to compare the perceptions of educators and students with a learning management system (LMS). The comparison is based on survey data collected from 185 educators and 249 students in a Finnish university who use a popular LMS, Moodle. Design/methodology/approach: The analysis of the survey data follows a…
Descriptors: Teacher Attitudes, Parent Attitudes, Learning Management Systems, Access to Education