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Ordene V. Edwards – Journal of Education and Learning, 2025
Motivation is critical to student success in learning environments. However, changes in situation-specific motivation over time are rarely explored among online learners. Drawing from the Situated Expectancy Theory (SEVT), in the current study, I examined changes in situational task-specific task value and cost over the short term and tested the…
Descriptors: Student Motivation, Electronic Learning, College Students, Online Courses
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Ruben Till Wittrin; Benny Platte; Christian Roschke; Marc Ritter; Maximilian Eibl; Carolin Isabel Steiner; Volker Tolkmitt – IEEE Transactions on Learning Technologies, 2024
Virtual environments open up far-reaching possibilities with respect to knowledge impartation. Nevertheless, they have the potential to negatively influence learning behavior. As a possible positive determinant, especially in the digital context, the moment "game" can be listed. Accordingly, previous studies prove an overall positive…
Descriptors: Game Based Learning, Learning Motivation, Academic Achievement, Electronic Learning
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Safa Ridha Albo Abdullah; Ahmed Al-Azawei – International Review of Research in Open and Distributed Learning, 2025
This systematic review sheds light on the role of ontologies in predicting achievement among online learners, in order to promote their academic success. In particular, it looks at the available literature on predicting online learners' performance through ontological machine-learning techniques and, using a systematic approach, identifies the…
Descriptors: Electronic Learning, Academic Achievement, Grade Prediction, Data Analysis
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Kajal Mahawar; Punam Rattan – Education and Information Technologies, 2025
Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…
Descriptors: Electronic Learning, Artificial Intelligence, Academic Achievement, Prediction
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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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Nedime Selin Çöpgeven; Mehmet Firat – Journal of Educators Online, 2024
Learning processes can now be transferred to digital environments, allowing for the tracking of learners' digital footprints. The field of learning analytics focuses on the efficient use of these digital records to improve both learning experiences and processes. Dashboards are the tangible outputs of learning analytics. The use of dashboards in…
Descriptors: Electronic Learning, Distance Education, Academic Achievement, Educational Technology
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Ahmed Tlili; Soheil Salha; Juan Garzón; Mouna Denden; Kinshuk; Saida Affouneh; Daniel Burgos – Journal of Computer Assisted Learning, 2024
Background Study: Several meta-analysis studies have investigated the effects of mobile learning on learning performance. However, limited attention has been paid to pedagogy in mobile learning, making quantitative evidence of the effects of pedagogical approaches on learning performance in mobile learning scarce. Filling this gap can therefore…
Descriptors: Teaching Methods, Instructional Effectiveness, Electronic Learning, Student Experience
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Jiahui Du; Khe Foon Hew; Long Zhang – Education and Information Technologies, 2025
Self-regulated learning (SRL) is a prerequisite for successful learning. However, studies have reported that many students struggle with self-regulation in online learning, indicating the need to provide students with additional support for SRL. This study adopted a design-based research methodology to iteratively design, implement, and evaluate…
Descriptors: Independent Study, Artificial Intelligence, Electronic Learning, Graduate Students
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Yaqian Zheng; Deliang Wang; Junjie Zhang; Yanyan Li; Yaping Xu; Yaqi Zhao; Yafeng Zheng – Education and Information Technologies, 2025
Generating personalized learning pathways for e-learners is a critical issue in the field of e-learning as it plays a pivotal role in guiding learners towards the successful achievement of their learning objectives. The existing literature has proposed various methods from different perspectives to address this issue, including learner-based,…
Descriptors: Individualized Instruction, Electronic Learning, Academic Achievement, Student Educational Objectives
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Cathy Weng; Mona Adria Wirda – Education and Information Technologies, 2025
This study explores the relationship between student readiness for online learning and its impacts on engagement, satisfaction, and academic achievement in Indonesian higher education. Using a mixed-methods design, the quantitative phase employed Structural Equation Modeling (SEM) to reveal that online learning readiness significantly affects…
Descriptors: Foreign Countries, Electronic Learning, Learning Readiness, Learner Engagement
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Jamal Kay B. Rogers; Tamara Cher R. Mercado; Ronald S. Decano – Journal of Education and Learning (EduLearn), 2025
Poor academic performance remains among the most concerning educational issues, especially in higher education and online learning. To address the concern, institutions like the University of Southeastern Philippines (USeP) leverage educational data mining (EDM) techniques to generate relevant information from learning management systems (LMS)…
Descriptors: Foreign Countries, Learning Management Systems, Academic Achievement, Data Analysis
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Shuwen Wang; Yang Wang; Li Zhao – Asia-Pacific Education Researcher, 2025
Online learning has accentuated the role and interaction of numerous educational and psychological factors among students, especially undergraduates. Psychological resilience, as an evaluative factor of mental health, has been confirmed in previous studies as having an effect on undergraduates' online learning performance and satisfaction.…
Descriptors: Foreign Countries, Undergraduate Students, Electronic Learning, Resilience (Psychology)
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Justin C. Ortagus; Rodney Hughes; Hope Allchin – American Educational Research Journal, 2024
This study leverages national data and a quasi-experimental design to examine the influence of enrolling in an exclusively online degree program on students' likelihood of completing their degree. We find that enrolling in an exclusively online degree program had a negative influence on students' likelihood of completing their bachelor's degree or…
Descriptors: Online Courses, Electronic Learning, Student Attitudes, Teaching Methods
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Li Zhao; Shuwen Wang; Yu-Sheng Su – Education and Information Technologies, 2024
Pre-service student teachers (PSSTs) should improve their metacognition in order to support their long-term development in their future complex teaching and learning lives. Although previous studies have explored the role of metacognition in learners' learning effectiveness, the interrelationships pattern of metacognition elements in the process…
Descriptors: Preservice Teachers, Metacognition, Electronic Learning, Communities of Practice
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Silva, Leonardo; Mendes, Antonio Jose; Gomes, Anabela; Fortes, Gabriel – IEEE Transactions on Education, 2023
Contribution: Students' problem-understanding abilities and their relationship with programming learning were investigated using a methodology little explored in the existing literature. Background: Problem comprehension is an ability used during software development. Current research points to conflicting results on students' ability to interpret…
Descriptors: Programming, Comprehension, Computer Software, Electronic Learning
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