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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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Daniel Amadiok; Winston Kwame Abroampa; Eric Opoku Osei – Education and Information Technologies, 2025
Numerous studies highlight that the high adoption rates of e-learning management systems (e-LMSs) are not necessarily matched by their actual use among students in sub-Saharan African higher education. Nevertheless, factors such as perceived behavioral control of e-LMS, teaching activities in e-LMS, administrative activities in e-LMS, and…
Descriptors: Foreign Countries, Learning Management Systems, Technology Uses in Education, Educational Technology
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Ecenur Demir; Adem Akbiyik – Education and Information Technologies, 2025
Digital nudging is a subtle technique used to guide individuals' behaviors and influence their decision-making processes in online environments. This study highlights the critical role of digital nudging in enhancing the educational experiences of students in distance learning settings. It suggests that digital nudges can mitigate some of the…
Descriptors: Electronic Learning, Prompting, Educational Technology, Distance Education
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Garbers, Samantha; Crinklaw, Allyson D.; Brown, Adam S.; Russell, Roxanne – Education and Information Technologies, 2023
Digital advances in the learning space have changed the contours of student engagement as well as how it is measured. Learning management systems and other learning technologies now provide information about student behaviors with course materials in the form of learning analytics. In the context of a large, integrated and interdisciplinary Core…
Descriptors: Learner Engagement, Course Content, Graduate Students, Public Health
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Garg, Anchal; Rajendran, Ramkumar – Education and Information Technologies, 2023
Procrastination is one of the issues affecting more than half of the student population and is known to impact them negatively. It is also one of the major reasons for failure and dropout. Therefore, several studies have been conducted in this domain to understand when and why students procrastinate. The existing studies use self-reported…
Descriptors: Behavior Patterns, Time Management, Web Sites, Editing
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Mohammed Jebbari; Bouchaib Cherradi; Soufiane Hamida; Abdelhadi Raihani – Education and Information Technologies, 2024
With the advancements in technology and the growing demand for online education, Virtual Learning Environments (VLEs) have experienced rapid development in recent years. This demand was especially evident during the COVID-19 pandemic. The incorporation of new technologies in VLEs provides new opportunities to better understand the behaviors of…
Descriptors: MOOCs, Algorithms, Computer Simulation, COVID-19
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Sercemeli, Murat; Baydas Onlu, Ozlem – Education and Information Technologies, 2023
The study aims to examine student emotions and behavior in a Gamified Learning Environment (GLE) in detail. In the study, in order to reveal the behavior (dynamics) and feelings (emotions) that emerge within the framework of the mechanics applied in the GLE process, it is within the scope of the main objectives of the study to determine how…
Descriptors: Accounting, Teaching Methods, Game Based Learning, Outcomes of Education
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Li, Yue; Jiang, Qiang; Xiong, Weiyan; Zhao, Wei – Education and Information Technologies, 2023
One of the recognized ways to enhance teaching and learning is having insights into the behavior patterns of students. Studies that explore behavior patterns in online self-directed learning (OSDL) are scant though. In addition, the focus is lacking on how high-achieving (HA) students' behavior patterns affect the academic performance of…
Descriptors: Student Behavior, Behavior Patterns, Electronic Learning, Online Courses
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Abdulkadir Palanci; Rabia Meryem Yilmaz; Zeynep Turan – Education and Information Technologies, 2024
This study aims to reveal the main trends and findings of the studies examining the use of learning analytics in distance education. For this purpose, journal articles indexed in the SSCI index in the Web of Science database were reviewed, and a total of 400 journal articles were analysed within the scope of this study. The systematic review…
Descriptors: Learning Analytics, Distance Education, Educational Trends, Periodicals