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Luping Wang; Yun Hao; Shanshan Wang – Discover Education, 2025
In the traditional teaching mode, it is difficult for teachers to have a comprehensive understanding of each student's study, and it is also hard for them to provide targeted guidance and assistance. With the development of data collection and analysis technology, schools and educational institutions can make better use of big data technology to…
Descriptors: College Students, Predictor Variables, Scores, Academic Achievement
Junxian Shen; Hongfeng Zhang; Jiansong Zheng – Psychology in the Schools, 2024
Online learning is becoming more and more common, so how to maintain learners' online learning engagement is very important. This study aims to explore the impact of future self-continuity on college students' online learning engagement and its underlying mechanism of action. We utilized the Future Self-Continuity Questionnaire, the Learning…
Descriptors: College Students, Learner Engagement, Electronic Learning, Predictor Variables
Ayça Fidan; Yasemin Koçak Usluel – Education and Information Technologies, 2024
It is pointed out that one of the main problems of online learning environments is determining whether students engage or not. As engagement is a complex and multifaceted concept, researchers have stated that engagement is effected by many factors (environmental conditions and learner characteristics) and changes according to the context. Among…
Descriptors: Online Courses, Electronic Learning, Metacognition, Emotional Response
Miftah Arifin; Anas Ma'ruf Annizar; Moh. Khusnuridlo; Abd. Halim Soebahar; Agus Yudiawan – Journal of Education and e-Learning Research, 2025
This study examines a level and model for technology acceptability and use in online learning inside universities. The unified theory of UTAUT is used as an analysis tool. An associative quantitative method is used with a sample of 392 students. Data were collected by distributing questionnaires through a specially designed Google Form. The data…
Descriptors: Educational Technology, Electronic Learning, Technology Uses in Education, College Students
Humida, Thasnim; Al Mamun, Md Habib; Keikhosrokiani, Pantea – Education and Information Technologies, 2022
Digital transformation and emerging technologies open a horizon to a new method of teaching and learning and revolutionizes the e-learning industry. The goal of this study is to scrutinize a proposed research model for predicting factors that influence student's behavioral intention to use e-learning system at Begum Rokeya University, Bangladesh.…
Descriptors: Student Behavior, Intention, Electronic Learning, College Students
Al-Harthi, Aisha Salim Ali; Ani, Wajeha Thabit Al – Education and Information Technologies, 2023
This study investigates the level of readiness for massive open online courses (MOOCs) of students in Oman. It compares the readiness of ordinary students in the Omani higher education institutions (HEIs) and those outside HEIs who took a MOOC from the larger Omani society and tests for the differences between their levels of readiness.…
Descriptors: Foreign Countries, MOOCs, Readiness, College Students
Phan, Nga Thi Tuyet – Knowledge Management & E-Learning, 2023
Most previous studies have focused on learners' self-efficacy in face-to-face learning environments, while few have delved into that of MOOC learners. No research has touched upon the MOOC self-efficacy of engineering students in developed and developing countries. This research compared the self-efficacy levels of engineering students in Taiwan…
Descriptors: Self Efficacy, MOOCs, Comparative Analysis, Foreign Countries
Mark Littler – ProQuest LLC, 2024
The dynamics of higher education have changed as a result of online learning. However, it can be challenging for teachers to effectively engage students online. Furthermore, limited research about the relationship between presence and online student engagement is a social problem that impacts the quality of online nursing education. The purpose of…
Descriptors: Electronic Learning, Learner Engagement, Predictor Variables, Teacher Student Relationship
Doris U. Bolliger; Florence Martin; Stella Kim – Educational Technology Research and Development, 2024
Learner satisfaction is an important element in online learning because it impacts achievement motivation, success, and retention. It was the purpose of this study to develop an instrument that measures the satisfaction of learners in online learning environments. Data were collected from 335 students at higher education institutions. The Online…
Descriptors: Likert Scales, Test Construction, Test Validity, Student Satisfaction
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
Sevim-Cirak, Nese; Erol, Osman; Baser-Gulsoy, Vesile Gul – Journal of Educational Technology and Online Learning, 2023
Students' readiness for e-learning is necessary in order to make the e-learning process more effective. Readiness for e-learning refers to the degree of having pre-knowledge and skills, and affective characteristics such as the necessary attitude and motivation to experience this process most effectively. Academic orientations of the students also…
Descriptors: College Students, Electronic Learning, Readiness, Goal Orientation
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
Jovanka, Della Raymena; Habibi, Akhmad; Mailizar, Mailizar; Yaqin, Lalu Nurul; Kusmawan, Udan; Yaakob, Mohd Faiz Mohd; Tanu Wijaya, Tommy – Cogent Education, 2023
The Internet has been massively utilized for educational purposes during the last ten years with many platforms, including e-Learning Services (e-LS). This survey study aimed to report factors affecting the intention to use e-LS in the Indonesian Open University (OU) context. The original technology acceptance model (TAM) was extended, involving…
Descriptors: Foreign Countries, Electronic Learning, College Students, Student Attitudes
Jose Ma Gopez; Beatriz Gopez – European Journal of Psychology of Education, 2024
Due to the advent of the pandemic, online learning was fully introduced into the Philippine educational setup. One of the emerging challenges that online teachers face is fostering student engagement in virtual classrooms. Thus, this paper aimed to examine the predictors of student engagement in online learning. The mediating role of…
Descriptors: Foreign Countries, College Students, Electronic Learning, Online Courses
Huayta-Meza, Madeleine Victoria; Turpo Chaparro, Josué Edison; Mamani-Benit, Oscar; Apaza Tarqui, Edison Effer – Electronic Journal of Research in Educational Psychology, 2022
Introduction: The COVID-19 pandemic has generated repercussions in higher education. Therefore, the objective was to determine whether the use of virtual academic media, academic repercussions and adaptability predict satisfaction with studies in university students. Method: Explanatory and transversal study, in which 725 university students of…
Descriptors: Predictor Variables, Foreign Countries, College Students, COVID-19