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 and mathematics 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

This domain covers advanced and emerging scientific research with strong quantitative, computational, and analytical foundations, including:

  • Natural and applied sciences

  • Computational science and data science

  • Artificial intelligence and machine learning

  • Modelling and simulation

  • Environmental and sustainability science

  • Quantitative economics and computational finance (selective)
    Research focusing on the application of mathematical models, statistical and econometric methods, computational techniques, and data-driven analysis to economic and financial systems, including economic modelling, forecasting, risk analysis, and financial decision making.

  • Sport science and physical activity studies with quantitative and data-driven approaches (selective)
    Studies that employ quantitative measurement, statistical analysis, mathematical modelling, biomechanics, performance analytics, and technology-based data collection to investigate physical activity, sport performance, training processes, and human movement.

2. Mathematics Education

This domain focuses on research related to the teaching, learning, and application of mathematics in educational contexts, including:

  • Theories and practices of mathematics education

  • Mathematics curriculum development and instructional design

  • Teaching and learning strategies in mathematics

  • Assessment, evaluation, and measurement in mathematics learning

  • Mathematical reasoning, problem solving, and representation

  • Technology-enhanced mathematics learning and digital media

  • Mathematics teacher education and professional development

  • STEM and STEAM-based mathematics learning (selective)

  • Learning analytics and AI-supported educational research (selective)

  • Integration of advanced scientific concepts into mathematics education (selective)