Journal of Advanced Sciences and Mathematics Education

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