Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 6 |
Since 2016 (last 10 years) | 19 |
Since 2006 (last 20 years) | 62 |
Descriptor
Electronic Learning | 62 |
Models | 62 |
Predictor Variables | 62 |
Online Courses | 25 |
Foreign Countries | 22 |
College Students | 20 |
Educational Technology | 20 |
Student Attitudes | 19 |
Student Surveys | 16 |
Correlation | 14 |
Web Based Instruction | 11 |
More ▼ |
Source
Author
Publication Type
Journal Articles | 51 |
Reports - Research | 46 |
Dissertations/Theses -… | 8 |
Information Analyses | 4 |
Reports - Descriptive | 3 |
Collected Works - Proceedings | 2 |
Reports - Evaluative | 2 |
Tests/Questionnaires | 2 |
Education Level
Audience
Practitioners | 1 |
Location
South Korea | 4 |
Taiwan | 4 |
Australia | 3 |
United Kingdom | 3 |
Finland | 2 |
Germany | 2 |
Israel | 2 |
Netherlands | 2 |
Pennsylvania | 2 |
Spain | 2 |
Asia | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Massachusetts Comprehensive… | 1 |
Motivated Strategies for… | 1 |
What Works Clearinghouse Rating
Meets WWC Standards with or without Reservations | 1 |
Deeva, Galina; De Smedt, Johannes; De Weerdt, Jochen – IEEE Transactions on Learning Technologies, 2022
Due to the unprecedented growth in available data collected by e-learning platforms, including platforms used by massive open online course (MOOC) providers, important opportunities arise to structurally use these data for decision making and improvement of the educational offering. Student retention is a strategic task that can be supported by…
Descriptors: Electronic Learning, MOOCs, Dropouts, Prediction
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
Schmucker, Robin; Wang, Jingbo; Hu, Shijia; Mitchell, Tom M. – Journal of Educational Data Mining, 2022
We consider the problem of assessing the changing performance levels of individual students as they go through online courses. This student performance modeling problem is a critical step for building adaptive online teaching systems. Specifically, we conduct a study of how to utilize various types and large amounts of log data from earlier…
Descriptors: Academic Achievement, Electronic Learning, Artificial Intelligence, Predictor Variables
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
Hui-Tzu Hsu; Chih-Cheng Lin – Journal of Computer Assisted Learning, 2024
Background: Behavioural intention (BI) has been predicted using other variables by adopting the technology acceptance model (TAM). However, few studies have examined whether BI can predict learning performance. Objectives: The present study used an extended TAM to investigate whether students' BI is a predictor of their listening learning…
Descriptors: Intention, Vocabulary Development, Handheld Devices, College Students
Abuhassna, Hassan; Al-Rahmi, Waleed Mugahed; Yahya, Noraffandy; Zakaria, Megat Aman Zahiri Megat; Kosnin, Azlina Bt. Mohd; Darwish, Mohamad – International Journal of Educational Technology in Higher Education, 2020
This research aims to explore and investigate potential factors influencing students' academic achievements and satisfaction with using online learning platforms. This study was constructed based on Transactional Distance Theory (TDT) and Bloom's Taxonomy Theory (BTT). This study was conducted on 243 students using online learning platforms in…
Descriptors: Electronic Learning, Models, Academic Achievement, Student Satisfaction
Schwarzenberg, Pablo; Navon, Jaime; Pérez-Sanagustín, Mar – Journal of Computing in Higher Education, 2020
The flipped classroom gives students the flexibility to organize their learning, while teachers can monitor their progress analyzing their online activity. In massive courses where there are a variety of activities, automated analysis techniques are required in order to process the large volume of information that is generated, to help teachers…
Descriptors: Models, Blended Learning, Teaching Methods, Electronic Learning
Al-Shihi, Hafedh; Sharma, Sujeet Kumar; Sarrab, Mohamed – Education and Information Technologies, 2018
The proliferation of mobile computing technologies is playing major role in the growth of mobile learning (M-learning) market around the globe. The purpose of this paper is to develop a research model in the lines of commonly used models the Unified Theory of Acceptance and Use of Technology (UTAUT) and Technology Acceptance Model (TAM) by…
Descriptors: Predictor Variables, Technology Uses in Education, Models, College Students
Chien, Hsiang-Yu; Kwok, Oi-Man; Yeh, Yu-Chen; Sweany, Noelle Wall; Baek, Eunkyeng; McIntosh, William – Online Learning, 2020
The purpose of this study was to investigate a predictive model of online learners' learning outcomes through machine learning. To create a model, we observed students' motivation, learning tendencies, online learning-motivated attention, and supportive learning behaviors along with final test scores. A total of 225 college students who were…
Descriptors: Identification, At Risk Students, College Students, Psychological Patterns
Cheng, Eddie W. L. – Educational Technology Research and Development, 2019
Conflicting perspectives exist regarding the application of the technology acceptance model (TAM) and the theory of planned behavior (TPB) to the study of technology acceptance behavior. The present study addressed the controversy by evaluating and comparing the predictive power of the two theories in a specific context, which was to measure…
Descriptors: Behavior Theories, Computer Attitudes, Positive Attitudes, Models
Pratama, Aditya – Cypriot Journal of Educational Sciences, 2021
The purpose of this research was to measure the acceptance of Google Classroom use by junior high school students using variables such as habits, satisfaction, knowledge, and skills. To achieve the set objective, it adopted the TAM, which measures technology usability and ease of use. TAM also provides a theoretical basis for measuring students'…
Descriptors: Technology Integration, Educational Technology, Electronic Learning, COVID-19
Aldholay, Adnan; Isaac, Osama; Abdullah, Zaini; Abdulsalam, Rasheed; Al-Shibami, Ahmed Hamoud – International Journal of Information and Learning Technology, 2018
Purpose: While many researchers have investigated the adoption and usage of online learning in different settings, one area that has yet to be examined thoroughly, particularly in the context of online learning in Yemen, is the self-efficacy role. The purpose of this paper is to extend the Delone and McLean information system success model by…
Descriptors: Foreign Countries, Self Efficacy, Electronic Learning, Information Systems
Atkins, Charlene – ProQuest LLC, 2016
Low success rates in developmental mathematics courses have caused a growing concern for many institutions including moderately selective four-year universities. As a result, institutions have adopted various course redesign models, such as the emporium and replacement models, which take advantage of interactive online learning tools. Though these…
Descriptors: Remedial Mathematics, Models, Electronic Learning, Algebra
Alqurashi, Emtinan – ProQuest LLC, 2017
This study aimed to explore the relationship between four predictor variables (online learning self-efficacy, learner-content interaction, learner-instructor interaction, and learner-learner interaction) and student satisfaction and perceived learning. The purpose of this study was to investigate the extent to which the four variables are…
Descriptors: Self Efficacy, Interaction, Models, Student Satisfaction
Turayev, Oybek – ProQuest LLC, 2018
Over the last two decades, educational technology (ET) integration has become an increasingly important aspect of higher education, particularly with the growth of online, distance and hybrid courses and degree programs. Furthermore, accrediting agencies such as the Higher Learning Commission (HLC) are paying close attention to online and hybrid…
Descriptors: Educational Technology, Technology Integration, Community Colleges, College Faculty