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Prediction of Learners' Dropout in E-Learning Based on the Unusual Behaviors
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Zhou, Yizhuo; Zhao, Jin; Zhang, Jianjun – Interactive Learning Environments, 2023
On e-learning platforms, most e-learners didn't complete the course successfully. It means that reducing dropout is a critical problem for the sustainability of e-learning. This paper aims to establish a predictive model to describe e-learners' dropout behavior, which can help the commercial e-learning platforms to make appropriate interventions…
Descriptors: Electronic Learning, Prediction, Dropouts, Student Behavior
Distributed Ensemble Based Iterative Classification for Churn Analysis and Prediction of Dropout Ratio in E-Learning
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Senthil Kumaran, V.; Malar, B. – Interactive Learning Environments, 2023
Churn in e-learning refers to learners who gradually perform less and become lethargic and may potentially drop out from the course. Churn prediction is a highly sensitive and critical task in an e-learning system because inaccurate predictions might cause undesired consequences. A lot of approaches proposed in the literature analyzed and modeled…
Descriptors: Electronic Learning, Dropouts, Accuracy, Classification
Performance Analysis of Study Material Recommendation System to Reduce Dropout in Online Learning Using Optimal Behavior Prediction Cluster and Online Poll Bot
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S. Sageengrana; S. Selvakumar; S. Srinivasan – Interactive Learning Environments, 2024
Students are termed "multitaskers," and it is likely that they easily fall prey to other subjects or topics that most interest them. They occasionally took heed or gave close and thoughtful attention to the lectures they were on. In the current educational system, our young generations receive materials from their leftovers, and their…
Descriptors: Electronic Learning, Dropouts, Student Behavior, Student Interests
Prediction of Students' Early Dropout Based on Their Interaction Logs in Online Learning Environment
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Mubarak, Ahmed A.; Cao, Han; Zhang, Weizhen – Interactive Learning Environments, 2022
Online learning has become more popular in higher education since it adds convenience and flexibility to students' schedule. But, it has faced difficulties in the retention of the continuity of students and ensure continual growth in course. Dropout is a concerning factor in online course continuity. Therefore, it has sparked great interest among…
Descriptors: Prediction, Dropouts, Interaction, Learning Analytics
Participation in Online Courses from the Students' Perspective
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Ozaydin Ozkara, Betul; Cakir, Hasan – Interactive Learning Environments, 2018
The purpose of this study is to uncover factors that affect participation in online classes from the student's perspective. Interest in the online environment has been increasing and renders the opinions of students participating in online courses more important since the opinions of students in this environment are closely related to interaction.…
Descriptors: Online Courses, Student Attitudes, Interaction, Psychological Patterns
Utilisation of Formative Peer-Assessment in Distance Online Education: A Case Study of A Multi-Model Sport Management Unit
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Sekendiz, Betul – Interactive Learning Environments, 2018
THigher education system has been globally evolving over time with the development of courses that offer distance online models of delivery to meet the changing needs of students in an era of technology-driven transformation. However, one of the biggest challenges of distance online education has been higher attrition rates mostly due to…
Descriptors: Formative Evaluation, Peer Evaluation, Team Sports, Management Development