Special Issue

Teaching, Learning & Modeling: Education Science Meets Mathematics

A JBRES Special Issue dedicated to rigorous, evidence-based advances at the intersection of education science and mathematics—linking pedagogical research, mathematical modeling, inquiry approaches, technology integration, and equity to strengthen teaching practices and student outcomes.

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JBRES Special Issue • Educational & Mathematics Sciences

Special Issue Title

Teaching, Learning & Modeling: Education Science Meets Mathematics

This Special Issue of the Journal of Biomedical Research & Environmental Sciences (JBRES) invites high-quality submissions that strengthen the evidence base for mathematics teaching and learning. We welcome work that advances pedagogical models & inquiry, integrates mathematical modeling, and demonstrates effective practices & equity across diverse learners and educational contexts.

Teaching & Learning Processes

Inquiry-based approaches, conceptual understanding, teacher professional development, equity & inclusion, growth mindset in math.

Modeling & Applications

Mathematical modeling activities, real-world problem solving, technology & AI integration, data reasoning, interdisciplinary links.

Submit to This Special Issue Submission Guidelines Peer Review Policy

About this Special Issue

Mathematics education is strongest when it connects evidence-based pedagogy with meaningful modeling and real-world application. This Special Issue focuses on teaching, learning, and modeling in mathematics—from inquiry-driven instruction and teacher development to mathematical modeling, technology integration, and equity-focused practices. We especially welcome submissions that report transparent methods, practical endpoints, and insights that can improve student engagement, reasoning, and long-term mathematical proficiency.

Preference is given to studies with clear outcomes (conceptual understanding, modeling competence, equity metrics), robust analysis, and a concise “What this changes in practice” statement.

Topics of interest

Submissions may address (but are not limited to):

Inquiry-Based Mathematics Teaching Mathematical Modeling in Classrooms Technology & AI in Math Education Equity, Inclusion & Diversity in Math Teacher Professional Development Conceptual Understanding & Reasoning Data Science & Statistical Literacy Growth Mindset in Mathematics Interdisciplinary Math Applications Assessment & Feedback Practices Digital Tools for Modeling & Learning Student Engagement & Motivation

Article types accepted

Original Research Articles
Intervention & Classroom Studies
Observational & Qualitative Studies
Review Articles
Systematic Reviews & Meta-Analyses
Mini-Reviews
Short Communications
Case Studies (where appropriate)

Tip: Include (1) primary/secondary outcomes, (2) a brief methods transparency note (preregistration/data availability if applicable), and (3) a “Clinical/Community Relevance” paragraph.

Why submit to this Special Issue?

Pedagogy-forward visibility: your work is presented alongside leading mathematics education and modeling research.
Efficient editorial pathway: JBRES targets rapid peer review (7–14 days where applicable).
Permanent DOI: accepted articles receive DOI for strong citation continuity.
Open access reach: broad discoverability for educators, researchers, and curriculum developers.
Author support: clear guidance through review, proofing, and publication.

Ready to submit?

Submit online, or share an abstract for an editorial scope check (methods + outcomes summary preferred).

Submit Manuscript Email Abstract

Submission Portal Submission Instructions Aims & Scope Archive

Alternative submission emails: [email protected] | [email protected]
License (upon publication): Creative Commons CC BY 4.0

Guest Editor

Ning Ding

Guest Editor

Affiliation: Department of Mathematics, Kangwon National University

Location: South Korea

Email: [email protected]

Research Focus: Mathematical education, modeling learning processes, behavioral mechanisms in human–AI collaboration, and interdisciplinary integration of educational science with intelligent technologies.