About the Journal

EJEDPR, published by Elicit Publishing Limited, serves as a scholarly hub for researchers, educators, and policymakers seeking to explore and apply advanced techniques in psychometric research and educational data analytics. The journal promotes rigorous theoretical and empirical contributions that improve how learning outcomes are measured, analyzed, and interpreted for meaningful educational impact.

The journal embraces both quantitative and computational approaches, emphasizing the use of psychometric models, statistical tools, and machine learning techniques to address complex issues in education. It welcomes interdisciplinary studies that fuse psychological measurement with big data, educational technology, and policy analysis to foster innovation in teaching and learning environments.

Scope and Key Areas of Interest:

• Educational measurement and test development

• Psychometric modeling (IRT, CTT, Rasch models)

• Cognitive diagnostic assessment and learning analytics

• Machine learning and artificial intelligence in education

• Educational data mining and predictive modeling

• Instrument design, validation, and reliability testing

• Evaluating student, teacher, and institutional performance

• International large-scale assessments and benchmarking (e.g., PISA, TIMSS)

EJEDPR is committed to publishing research that not only meets academic excellence but also offers practical insights for improving education systems. The journal encourages submissions from both established and emerging scholars globally, ensuring a rich and diverse exchange of knowledge.