About the Journal

ADERA – Journal of Analytics and Digital Education Research is an international, peer-reviewed scholarly journal dedicated to advancing research at the intersection of learning analytics, digital innovation, artificial intelligence, and quantitative approaches in education.

The journal provides a global platform for researchers, educators, policymakers, and technology developers to disseminate high-quality empirical, theoretical, and methodological studies that contribute to data-driven and digitally transformed educational systems.

ADERA emphasizes rigorous research designs, strong methodological foundations, and meaningful implications for practice, policy, and innovation in education.

Aims

ADERA aims to:

  • Promote evidence-based and data-driven educational research

  • Advance methodological innovation in learning analytics and educational data science

  • Encourage interdisciplinary research integrating technology, mathematics, and education

  • Support digital transformation in teaching, learning, and educational governance

  • Foster international collaboration in digital and analytical educational research

Focus and Scope

ADERA welcomes original research articles, review articles, and methodological papers in the following areas:

1. Learning Analytics and Educational Data Science

  • Student performance prediction models

  • Engagement and behavior analytics

  • Educational data mining

  • Learning dashboards and monitoring systems

  • Early warning systems

2. Artificial Intelligence in Education

  • Adaptive learning environments

  • Intelligent tutoring systems

  • AI-supported assessment

  • Generative AI in teaching and learning

  • Ethical, policy, and governance issues related to AI in education

3. Digital Innovation in Education

  • Digital pedagogy frameworks

  • Blended and online learning innovation

  • Learning management system evaluation

  • Emerging technologies (AR/VR/XR) in education

  • Digital transformation strategies in educational institutions

4. Mathematics and STEM Education Analytics

  • Learning analytics in mathematics education

  • AI-supported mathematics instruction

  • Computational thinking in education

  • Applied mathematical modeling in learning systems

  • Data-driven STEM teaching and assessment

5. Quantitative and Computational Approaches

  • Statistical modeling in educational research

  • Machine learning applications in education

  • Simulation and system modeling

  • Applied quantitative and computational methods in instructional design

Out of Scope

The journal does not consider submissions that:

  • Focus solely on pure computer science without educational context

  • Present pure mathematical theory without application to education

  • Discuss general education topics without analytical or digital dimensions

  • Address digital transformation in business or industry unrelated to education

Publication Model

ADERA is committed to:

  • Double-blind peer review

  • Academic integrity and publication ethics

  • International scholarly standards

  • Transparent editorial processes

The journal publishes articles in English to ensure global accessibility and impact.