Publication Date
In 2025 | 27 |
Since 2024 | 145 |
Since 2021 (last 5 years) | 386 |
Since 2016 (last 10 years) | 495 |
Since 2006 (last 20 years) | 586 |
Descriptor
Electronic Learning | 589 |
Student Behavior | 589 |
Foreign Countries | 298 |
College Students | 180 |
Student Attitudes | 163 |
Learner Engagement | 123 |
Educational Technology | 116 |
Online Courses | 115 |
COVID-19 | 106 |
Pandemics | 106 |
Undergraduate Students | 103 |
More ▼ |
Source
Author
Hou, Huei-Tse | 5 |
Lin, Jian-Wei | 3 |
Wu, Sheng-Yi | 3 |
Al-Azawei, Ahmed | 2 |
Bagdi, Himanshu | 2 |
Bulsara, Hemantkumar P. | 2 |
Chang Xu | 2 |
Chang, Kuo-En | 2 |
Cohen, Anat | 2 |
Costley, Jamie | 2 |
Eglington, Luke G. | 2 |
More ▼ |
Publication Type
Education Level
Location
China | 35 |
Turkey | 26 |
Taiwan | 24 |
Indonesia | 19 |
Australia | 16 |
Malaysia | 15 |
India | 14 |
United States | 13 |
Saudi Arabia | 12 |
Japan | 9 |
Pakistan | 9 |
More ▼ |
Laws, Policies, & Programs
Higher Education Act Title IV | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Zahrotush Sholikhah; Wiwiek Rabiatul Adawiyah; Bambang Agus Pramuka; Eka Pariyanti – Journal of International Education in Business, 2024
Purpose: Although the academic literature provides extensive insight into the motivations for the unethical use of information technology in online classes, little is known about how perceived justice, the opportunity to cheat and spiritual legitimacy mitigate unethical behavior among young academics. The purposes of this study are two folds:…
Descriptors: Cheating, Electronic Learning, Student Behavior, Religious Factors
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
Francisco Pitthan; Kristof De Witte – Education and Information Technologies, 2025
Despite the potential for personalized learning, e-learning courses often suffer from low completion rates. In order to address this issue, we propose and empirically test a theoretical mechanism that examines how gamification can enhance the completion rate in adaptive learning courses by promoting a more positive behavioral response and attitude…
Descriptors: Gamification, Student Behavior, Student Attitudes, Financial Education
Kerstin Huber; Maria Bannert – Journal of Computing in Higher Education, 2024
The empirical study investigates what log files and process mining can contribute to promoting successful learning. We want to show how monitoring and evaluation of learning processes can be implemented in the educational life by analyzing log files and navigation behavior. Thus, we questioned to what extent log file analyses and process mining…
Descriptors: Learning Processes, Data Analysis, Navigation (Information Systems), Student Behavior
Shuanghong Shen; Qi Liu; Zhenya Huang; Yonghe Zheng; Minghao Yin; Minjuan Wang; Enhong Chen – IEEE Transactions on Learning Technologies, 2024
Modern online education has the capacity to provide intelligent educational services by automatically analyzing substantial amounts of student behavioral data. Knowledge tracing (KT) is one of the fundamental tasks for student behavioral data analysis, aiming to monitor students' evolving knowledge state during their problem-solving process. In…
Descriptors: Student Behavior, Electronic Learning, Data Analysis, Models
Peijian Paul Sun; Zeqi Ren; Xian Zhao – Journal of Computer Assisted Learning, 2025
Background: Student engagement has been conceptualised and operationalised in various learning environments. However, there is currently a lack of established scales to measure student engagement in synchronous online learning. One possible reason is the existence of the conceptual and structural ambiguity regarding student engagement. Objective:…
Descriptors: Student Participation, Second Language Learning, Synchronous Communication, Electronic Learning
Hiba M. Cheema – ProQuest LLC, 2023
The purpose of this study is to evaluate the efficacy of two virtual prerecorded trainings. Training 1 is a three-hour training titled "Basics of Classroom Behavior Management." Training 2 is a 10-hour training titled "Behavior Reduction." Evidence of implementation was confirmed by direct observations of teacher and student…
Descriptors: Behavior Modification, Faculty Development, Classroom Techniques, Teacher Behavior
Fu Chen; Shan Li; Lijia Lin; Xiaoshan Huang – Education and Information Technologies, 2024
Social annotation plays a crucial role in nurturing and sustaining a collaborative reading community, offering the potential to enhance students' motivation and performance within socially supportive learning environments. Nonetheless, research on the dynamic changes in student engagement in social annotation remains limited. This study aims to…
Descriptors: Computer Mediated Communication, Documentation, Undergraduate Students, Reading Assignments
Rochdi Boudjehem; Yacine Lafifi – Education and Information Technologies, 2024
Teaching Institutions could benefit from Early Warning Systems to identify at-risk students before learning difficulties affect the quality of their acquired knowledge. An Early Warning System can help preemptively identify learners at risk of dropping out by monitoring them and analyzing their traces to promptly react to them so they can continue…
Descriptors: At Risk Students, Identification, Dropouts, Student Behavior
D. Garmondyu Whorway – ProQuest LLC, 2024
Instruction, designed to impact learning, accentuates the quantity and quality of learner interactions. Theoretically, the higher the level or quantity of learner interaction within instruction, the higher the quality of instruction. Learner interactions are fostered through learner-to-learner (L2L), learner-to-instructor (L2I), and…
Descriptors: In Person Learning, Electronic Learning, Educational Quality, Student Behavior
Shan Li; Xiaoshan Huang; Lijia Lin; Fu Chen – British Journal of Educational Technology, 2024
Upvotes serve important purposes in online social annotation environments. However, limited studies have explored the influential factors affecting peer upvoting in online collaborative learning. In this study, we analysed the factors influencing students' upvotes received from their peers as 91 participants utilized Perusall, an online social…
Descriptors: Documentation, Internet, Computer Mediated Communication, Peer Relationship
Önder, Asuman; Akçapinar, Gökhan – Education and Information Technologies, 2023
The effective use of self-regulation strategies has been considered significant in online learning environments. It is known that learners must be supported in this context. Academic help-seeking (AHS), as one of the main self-regulated learning strategies, is associated with academic success. However, learners may avoid seeking help for…
Descriptors: Students, Help Seeking, Student Behavior, Learning Analytics
Mohammed Munther Al-Hammouri; Jehad A. Rababah – Online Learning, 2025
Online learning has become a popular form of education, particularly accelerated by the COVID19 pandemic, providing flexibility but posing challenges like reduced collaboration, limited student-faculty interactions, and decreased engagement. Therefore, there is a pressing need to implement effective instructional modalities, designs, and…
Descriptors: Educational Games, Learner Engagement, Electronic Learning, Student Behavior
Maria Townsend; Emma Champion; Gwendoline Berndt – Open Learning, 2025
Standard online tutorials at The Open University, based in the UK, are generally tutor-led with the tutor setting the agenda and content. This study investigated the inclusion of online student-led drop-in tutorials to support assessment on an OU level one module. The aims were to gauge the value to students of this style of tutorial, to…
Descriptors: Electronic Learning, Open Education, Tutorial Programs, Computer Assisted Testing
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