Conceptual Understanding in Mathematics: Focusing on Students with Learning Disabilities or Difficulties

A special issue of Education Sciences (ISSN 2227-7102). This special issue belongs to the section "Special and Inclusive Education".

Deadline for manuscript submissions: 15 August 2025 | Viewed by 1473

Special Issue Editor


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Guest Editor
Department of Educational Studies, Purdue University, West Lafayette, IN, USA
Interests: mathematics problem solving; students with learning disabilities and difficulties; intervention strategies; computer-assisted instruction

Special Issue Information

Dear Colleagues,

Early school mathematics is the foundation for the future success of advanced mathematics and other gatekeeper courses in secondary settings, leading to various educational and occupational opportunities. However, about 86% of students with disabilities performed below the proficiency level in the 4th grade, and 94% performed below proficiency at the 8th grade level (NAEP, 2023). How do we help at-risk students early on so they are not further falling behind?   

In this Special Issue, we invite researchers and practitioners to report empirical studies that examine the effect of innovative intervention/instructional strategies or programs that (a) address students’ conceptual understanding in learning mathematics, (b) teach mathematical big ideas to promote generalization, (c) explore the impact of problem posing on advancing students’ mathematical problem-solving abilities/skills, (d) take advantages of AI technology to analyze students learning process providing diagnostic information that can guide instructional decision making and planning. 

In sum, this Special Issue will collect cutting-edge knowledge in examining the effect of mathematics intervention programs in real education settings and the use of AI in education assessment and/or intervention pertinent to mathematics learning of K-12 students with learning disabilities or difficulties in mathematics (LDM). Possible topics include but are not limited to:

  • Empirical research to evaluate the effect of innovative intervention strategies or programs for teaching mathematics to students with LDM in real classrooms or school settings.
  • Empirical research to evaluate the impact of intervention/programs to promote the implementation of evidence-based practice in real classroom settings.
  • Empirical research or literature synthesis pertinent to the use of AI in analyses of mathematical learning process providing diagnostic information to facilitate instructional planning and decision makings.

Prof. Dr. Yan Ping Xin
Guest Editor

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Keywords

  • mathematics
  • problem solving
  • problem posing
  • conceptual understanding
  • artificial intelligence
  • learning disabilities
  • at risk
  • K-12 students

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Published Papers (1 paper)

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16 pages, 1752 KiB  
Systematic Review
A Meta-Analysis of Technology-Based Word-Problem Interventions for Students with Disabilities
by Soo Jung Kim and Yan Ping Xin
Educ. Sci. 2024, 14(12), 1372; https://doi.org/10.3390/educsci14121372 - 13 Dec 2024
Viewed by 929
Abstract
The aim of this meta-analysis was to investigate the effect of technology-based interventions on mathematical word problem solving for students with disabilities. This study also assessed the quality of research based on What Works Clearinghouse (WWC) design standards. A total of 21 studies [...] Read more.
The aim of this meta-analysis was to investigate the effect of technology-based interventions on mathematical word problem solving for students with disabilities. This study also assessed the quality of research based on What Works Clearinghouse (WWC) design standards. A total of 21 studies were included in the analysis. This study computed an overall effect and analyzed moderators of group design studies (Hedges’ g) and single-case design studies (between-case standardized mean difference) in the same analyses. The results show that the overall effect of technology-based interventions on word problems across 21 studies was large (Hedges’ g = 1.18, 95% CI = 0.84, 1.52). Additionally, the studies meeting WWC design standards demonstrated significantly greater effects. The moderator analyses indicated that certain study characteristics, such as publication years, settings, intervention agents, technology devices and types, and mathematics topics moderated the effects of interventions. The four studies that evaluated the generalization effect of the intervention using distal standardized assessments showed a near moderate effect (Hedges’ g = 0.49, 95% CI = 0.09, 0.9). Implications for future research and practice are discussed. Full article
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