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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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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
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Chrispus Zacharia Oroni; Fu Xianping; Daniela Daniel Ndunguru; Arsenyan Ani – Education and Information Technologies, 2025
In recent times, the rapid growth of e-learning has brought about increased concerns regarding cybersecurity risks within digital learning environments. Despite the growing importance of cybersecurity awareness among e-learning students, there is limited research on the factors that influence students' understanding and adherence to cyber safety…
Descriptors: Educational Technology, Electronic Learning, Information Security, Knowledge Level
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Li Feng; Xiaoqing Shen; Zhaoyuan Xie; Xiaohui Yan – Education and Information Technologies, 2025
Gamification mechanisms have been increasingly integrated into educational environments to enhance learner's engagement and improve the effectiveness of online courses. However, the precise effects of gamification on learner's engagement, including the factors that influence this behavior, remain under-explored. This study addresses this gap by…
Descriptors: Gamification, Electronic Learning, Learner Engagement, Student Motivation
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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
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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
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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
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Ahmet Kara; Funda Ergulec; Esra Eren – Education and Information Technologies, 2024
Online learning environments have become increasingly prevalent in higher education, necessitating an understanding of factors influencing student engagement. This study examines the mediating role of self-regulated online learning in the relationship between five-factor personality traits and student engagement among university students. A sample…
Descriptors: Self Management, Electronic Learning, Student Behavior, Personality Traits
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Chen, Jihe; Zhou, Ying; Lv, Litian – Education and Information Technologies, 2023
This study aims to explore the significant variables affecting online knowledge-sharing and the hierarchical structure, from the perspective of online learners. To comprehensively discuss the relationship between these variables, binary logit regression and interpretative structural model (ISM) was used. Based on literature analysis, the data of…
Descriptors: Students, Electronic Learning, Sharing Behavior, Knowledge Level
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Akbari, Morteza; Danesh, Mozhgan; Rezvani, Azadeh; Javadi, Nazanin; Banihashem, Seyyed Kazem; Noroozi, Omid – Education and Information Technologies, 2023
Over the last decades, using e-learning systems as an alternative format of education for traditional classroom has been growing in higher education and due to COVID-19 pandemic, this transition has been unprecedently accelerated. Although there is a large body of research on e-learning, little is known about the extent to which innovative and…
Descriptors: College Students, Electronic Learning, Identification (Psychology), Interpersonal Relationship
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Fengjiao Tu; Linjing Wu; Kinshuk; Junhua Ding; Haihua Chen – Education and Information Technologies, 2025
With the development of information and communication technology, project-based learning (PBL) has become an important pedagogical approach. Group leaders are critical in PBL, and prestige influences learner leadership. Regulation affects learners' prestige, but research on their relationship is lacking. Through content analysis and epistemic…
Descriptors: Learning Processes, Reputation, Active Learning, Student Projects
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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
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Alblehai, Fahad – Education and Information Technologies, 2022
Virtual learning environments have been recognized as an area of particular importance by which educators can use to improve desirable learning behaviours. Investigating the impact of different virtual environments on learners' behaviours has become the centre of attention of researchers, especially during COVID-19. The homophily effect of…
Descriptors: Computer Simulation, Electronic Learning, Educational Environment, Learning Activities
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Youssouf Abda; Zohra Mehenaoui; Yacine Lafifi; Rochdi Boudjehem – Education and Information Technologies, 2024
In this paper, we present an approach for online course evaluation based on learners' behaviors during the learning process, where the course creator can monitor the quality status of their online courses based on learners' learning outcomes and then intervene to improve the success rate. For this purpose, a set of criteria has been developed.…
Descriptors: Educational Quality, Quality Assurance, Electronic Learning, Evaluation Methods
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Hang Wang; Xiaorong Hou; Jiaxiu Liu; Xiaoyu Zhou; Mengyao Jiang; Jing Liao – Education and Information Technologies, 2025
The purpose of this study was to explore the factors of college students' learning intention when they use online learning platforms by using structural equation model (SEM), integration technology acceptance model (TAM) and planned behavior theory (TPB). With the help of this study, the development of distance online learning for college students…
Descriptors: Academic Achievement, Learning Motivation, College Students, Intention
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