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:
- Data Science and Its Applications in Education
- Machine Learning and AI in Learning Environments
- Applied Statistics and Educational Data Analysis
- Learning Analytics and Educational Data Mining
- Curriculum Development Based on Data Insights
- Decision Support Systems in Education
- Quality Assurance in Education through Data
- ICT Innovation in Teaching and Learning
