Topic: Educational Data Mining (EDM) and Learning Analytics (LA)
Educational data mining (EDM) and learning analytics (LA) are used to represent the application of data mining in higher education and other educational settings. They are fundamentally based on computational data analysis and can consecutively collect, process, report, and work on digital data to improve the educational process. EDM and LA are used to offer more personalized, adaptive, and interactive educational environments to enhance learning outcomes, teaching and learning effectiveness, and optimize institutional proficiency, contributing to both learning sciences and educational theory more broadly.
The topic seeks to connect learning analytics researchers, developers, and practitioners who share a common interest in computational approaches to educational data mining, to better understand and improve learning through the creation and implementation of new tools and techniques.
Specifically, it welcomes high-quality original work including but not limited to:
►Student modeling
►Social Network Analysis
►Analysis and Visualization of Data
►Prediction, Clustering, and Relationship Mining
►Developing concept maps
►Discovering or improving domain models
►Predicting students’ future learning behavior
…
Make a new submission to the Topic: Educational Data Mining (EDM) and Learning Analytics (LA) section.
The topic seeks to connect learning analytics researchers, developers, and practitioners who share a common interest in computational approaches to educational data mining, to better understand and improve learning through the creation and implementation of new tools and techniques.
Specifically, it welcomes high-quality original work including but not limited to:
►Student modeling
►Social Network Analysis
►Analysis and Visualization of Data
►Prediction, Clustering, and Relationship Mining
►Developing concept maps
►Discovering or improving domain models
►Predicting students’ future learning behavior
…
Make a new submission to the Topic: Educational Data Mining (EDM) and Learning Analytics (LA) section.
List of Publications
2026
(4)
2026
- The Use of Assistive Technology in Teaching: A Systematic Review and Meta-Analysis
- Factors Influencing Algorithmic Thinking among Pre-Service Primary Teachers: A Structural Equation Modeling Approach
- Enhancing Inclusive Computer Science Education through Project-Based Learning
- Evaluating Classification Machine Learning Models for Identifying External Factors Influencing Student Choices in Virtual Learning Environments
2025
(11)
2025
- Enhancing the Performance of Multiple Intelligence Learning Styles Prediction in e-Learning Systems Using Machine Learning Techniques
- The Effect of Problem-Based Learning Assisted by Video on Student’s Scientific Literacy and Problem-Solving Ability in Eight-Grade of Junior High School
- Development of an Intellectual Model for Assessing the Level of Competence Formation of Students
- A Comparative Analysis of MOOC Platforms Using Educational Data Mining Techniques
- SuccessNet: An Automated Approach to Predict Student Academic Performance Using PCA Extracted CNN Novel Features and RF-SVM Ensemble Model
- The Effectiveness of Using Mobile Technologies in the Formation of Professional Competencies of Biology Teachers
- The Impact of Using Computer Simulation in Industrial Technology Learning on Student Outcomes
- Transforming the Professional Development of Computer Science Teachers through Intelligent Technologies: Focus on Digital Competencies and Educational Outcomes
- Leveraging Machine Learning to Forecast Candidate Selection Outcomes
- Enhancing the Preparation of Future Mathematics Teachers in a Digital Learning Environment
- Enhancing Student Performance Prediction in e-Learning Ecosystems Using Machine Learning Techniques
2024
(12)
2024
- Blended Inquiry Learning: An LMS-Based Learning Model to Improve Students’ Higher-Order Thinking Skills in Higher Education
- Understanding Student Performance in Foundation Year: Insights from Logistic Regression, Naïve Bayes, and Random Forest Models
- Predicting the Professional Field of Students Using Data Mining: A Case Study of an Autonomous University in Thailand
- Advancing Models Portability of Students’ Failure Prediction Using Ontology Modeling Approach
- Optimizing Dropout Prediction in University Using Oversampling Techniques for Imbalanced Datasets
- Analysis of Decision Support System for Character Assessment of Elementary School Students to Improve Teacher Assessment
- Learning Analytics Model for Predictive Analysis of Learners Behavior for an Indigenous MOOC Platform (Tadakhul System) in Oman
- Assessing Teacher Competencies in Higher Education: A Sentiment Analysis of Student Feedback
- Effectiveness of Robotic Technology in Vocational Education: A Meta-Analysis
- Assessment of Teachers’ Needs to Integrate Learning Analytics in Higher Education: The Morocco Case
- Machine Learning Based Developmental Capability Prediction: A Diagnosis to the Learning Capacity Disorder for Specially-Abled Children
- Use of the Naive Bayes Classifier Algorithm in Machine Learning for Student Performance Prediction