Aim And Scope

Journal Focus Action of Research Mathematic (Factor M) invites original research articles and not simultaneously submitted to another journal or conference. The whole spectrum of research in mathematics education are welcome, which includes, but is not limited to the following topics:

Mathematics ability 

This scope covers research on the development, measurement, and enhancement of students' mathematical abilities across all educational levels, from primary education to higher education. The mathematical abilities investigated may include mathematical problem-solving, reasoning, critical thinking, creative thinking, mathematical communication, mathematical representation, mathematical connection, numeracy literacy, computational thinking, and other relevant mathematical competencies. Studies may employ quantitative, qualitative, or mixed-methods approaches and are expected to provide comprehensive analyses of the factors influencing the development of mathematical abilities and their implications for mathematics learning and teaching.

 

Innovative Mathematics instruction

This scope encompasses research on innovations in mathematics teaching and learning across all educational levels. Innovations may include the development or implementation of models, approaches, strategies, methods, techniques, learning media, digital technologies, artificial intelligence, and innovative learning environments designed to improve the quality of mathematics education. Studies focusing on active learning, differentiated instruction, problem-based learning, inquiry-based learning, discovery learning, flipped classrooms, blended learning, computational thinking, and other innovative approaches are welcomed. Authors are expected to provide a strong theoretical foundation, systematic descriptions of implementation procedures, and comprehensive analyses of the effectiveness, experiences, or impacts of innovative instructional practices on mathematics learning.

 

Novel Developmental Research in Mathematics Education 

This scope focuses on developmental research and design/development research that produces innovative, relevant, and evidence-based interventions in mathematics education. The interventions may include instructional designs, teaching materials, learning resources, educational media, assessment instruments, educational technologies, learning trajectories, or other educational products. Studies are expected to provide a comprehensive description and analysis of each stage of the development process, including needs analysis, initial design, prototype development, validation, field testing, evaluation, revision, and refinement. Research that contributes to the development of local instructional theories or advances existing theories in mathematics education is also encouraged. Studies employing educational design research, design research, development research, or other innovative developmental approaches are welcome, provided that they demonstrate methodological rigor and clear contributions to the field.

 

Mathematical Connection with Culture and cross-diciplinary research

This scope includes research exploring the relationships between mathematics and culture, society, the environment, and other academic disciplines. Studies may address ethnomathematics, culturally responsive mathematics education, contextual mathematics, mathematics knowledge embedded in local cultures and Indigenous communities, as well as the integration of mathematics with fields such as science, technology, engineering, arts, economics, education, social sciences, and humanities. Research is expected to go beyond merely describing cultural or interdisciplinary contexts by demonstrating their meaningful connections to mathematical concepts, processes, or practices and their contributions to mathematics learning, literacy, inclusivity, diversity, and the development of students' competencies.

 

Assessment and evaluation in mathematics learning

This scope covers research on the theory, design, development, implementation, and evaluation of assessment in mathematics learning across all educational levels. Topics may include diagnostic assessment, formative assessment, summative assessment, authentic assessment, performance assessment, numeracy literacy assessment, digital technology-based assessment, computer-based assessment, adaptive assessment, and the development and validation of mathematics assessment instruments. Research addressing program evaluation, instructional evaluation, item analysis, validity, reliability, fairness, assessment literacy, and the use of assessment results to support adaptive and differentiated mathematics instruction is also welcomed. Authors are expected to present rigorous methodologies and analyses that contribute to the advancement of assessment and evaluation practices in mathematics education.

 

Applied Mathematics

Applied Mathematics is a branch of mathematics that focuses on the development, analysis, and application of mathematical theories, methods, algorithms, and computational techniques to solve practical problems in science, engineering, technology, industry, economics, and other disciplines. Research in this field emphasizes the innovation of mathematical methods, the development of algorithms, the analysis of the mathematical properties of problems, and the improvement of the efficiency and accuracy of problem-solving, without necessarily constructing new mathematical models of real-world phenomena. The scope of Applied Mathematics includes, but is not limited to, optimization, operations research, numerical analysis, scientific computing, computational mathematics, mathematics-based machine learning, cryptography, control theory, inverse problems, uncertainty quantification, algorithm analysis, numerical methods for differential equations, and the development of mathematical methods for interdisciplinary applications.

 

Mathematical Modelling

Mathematical Modelling is a field of mathematics that focuses on the formulation, development, analysis, validation, and refinement of mathematical models that represent real-world phenomena or systems. Its primary objective is to explain the underlying mechanisms of phenomena, understand system behavior, perform simulations, predict future conditions, and support decision-making based on mathematically derived models. Research in this field emphasizes the process of constructing mathematical models from real-world problems, integrating theoretical assumptions with empirical data, and evaluating the accuracy and reliability of models in representing actual systems. The scope of Mathematical Modelling includes, but is not limited to, deterministic and stochastic modelling, dynamical systems, differential equation models, parameter estimation, model calibration, model verification and validation, sensitivity analysis, model-based simulation, multiscale modelling, agent-based modelling, data-driven modelling, and the application of mathematical modelling in engineering, energy systems, environmental science, biology, epidemiology, economics, finance, healthcare, and the social sciences.