Focus and Scope

Focus

The Journal of Advanced Mathematics and Science Education focuses on advancing knowledge in Advanced Science and Mathematics Education through high-quality theoretical, empirical, and applied research.

In Advanced Science, the journal emphasizes advanced and emerging scientific research grounded in quantitative, computational, and analytical approaches, including natural and applied sciences, computational and data science, artificial intelligence, modelling and simulation, environmental and sustainability science, as well as selective studies in quantitative economics, computational finance, and data-driven sport and physical activity sciences that support scientific innovation and problem solving.

In Mathematics Education, the journal prioritises research on theories and practices of teaching and learning mathematics, curriculum development, assessment and evaluation, mathematical reasoning, problem solving, and the integration of technology to enhance mathematical thinking and scientific literacy.

The journal also encourages studies that bridge advanced scientific knowledge, social sciences and education, particularly through interdisciplinary, technological, and data-informed approaches that support evidence-based educational practices and applied research contexts.

Scope

The scope of this Journal includes, but is not limited to, the following areas, organised into two main domains:

1. Advanced Science

  • Natural and applied sciences

  • Computational and data science

  • Artificial intelligence and machine learning

  • Modelling and simulation

  • Environmental and sustainability science

  • Quantitative economics and computational finance

  • Data-driven sport and physical activity science

2. Mathematics Education

  • Teaching and learning of mathematics

  • Curriculum development in mathematics education

  • Assessment and evaluation in mathematics learning

  • Mathematical reasoning and problem solving

  • Technology integration in mathematics education

3. Social Science and Education Integration

  • Interdisciplinary research between science and education

  • Data-driven educational research

  • Artificial intelligence and learning analytics in education

  • Computational approaches in education research

  • STEM education and technology-enhanced learning

  • Modelling and simulation for science and mathematics learning

  • Social Sciences

4. Engineering

This domain encompasses research in engineering that:

  • Is based on mathematical modeling and computational approaches
  • Integrates science, technology, and innovation
  • Includes areas such as:
    • Engineering design and system modeling
    • Computational engineering
    • Artificial Intelligence in engineering
    • Control systems and optimization
    • Renewable energy and sustainable engineering
    • Industrial and systems engineering

➡️ The focus is on the application of scientific and mathematical principles in developing technological systems and engineering solutions