Journal Description:
Journal of Data Science and Education (JDSEDU) is an open access scholarly journal dedicated to publishing original research articles and recent studies in the fields of Data Science, Statistics, Information Technology, and Data-Driven Education. The journal serves as a platform for academics, researchers, educators, and practitioners to share and disseminate knowledge and innovations that integrate data-driven approaches with educational systems and quality improvement.
JDSEDU focuses on the intersection of data analytics and education, promoting empirical studies, methodological advancements, and practical applications of data science to support decision-making, instructional design, educational management, and policy evaluation.
Scope of the Journal:
- Learning Analytics and Educational Data Mining
- Artificial Intelligence in Education
- Machine Learning Applications in Education
- Big Data and Educational Technology
- Predictive Modeling in Learning Systems
- Intelligent Tutoring Systems
- Data-Driven Decision Making in Education
- Online Learning and Learning Management Systems (LMS) Analytics
- Educational Policy and Data Science Integration
