Math Strategies for Students With Learning Disabilities
This paper examines a range of instructional strategies and interventions designed to improve mathematics performance in students with learning disabilities. Drawing on multiple peer-reviewed studies, it surveys approaches including strategy instruction (such as the minimum addend strategy and RIDE), self-regulation and metacognitive techniques, the Touch Math program, self-monitoring methods, and schema-based instruction (SBI). The paper evaluates the evidence base for each approach, comparing outcomes for students with and without learning disabilities and across different grade levels. Collectively, the reviewed studies indicate that targeted strategy instruction consistently outperforms drill-and-practice methods and can substantially close the performance gap experienced by students with mathematics-related learning disabilities.
- Introduction: Mathematics Challenges for Students With Learning Disabilities: Prevalence of math difficulties and overview of strategies
- Strategy Instruction and Automaticity in Basic Math Facts: Minimum addend strategy versus drill-and-practice outcomes
- Self-Regulation and Metacognitive Strategies: Self-regulation as a metacognitive tool for math success
- The Touch Math Program and Multi-Modal Learning: Touch Math program improves accuracy and speed
- Self-Monitoring and Combined Strategy Approaches: Self-monitoring boosts task completion and accuracy
- Schema-Based Instruction for Word Problem Solving: Schema-based instruction outperforms general strategy instruction
- References: APA citations for all sources used
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What makes this paper effective
- The paper synthesizes multiple peer-reviewed empirical studies into a coherent argument, consistently linking each study's findings back to the central claim that strategy instruction benefits students with learning disabilities in mathematics.
- Each intervention is introduced with its theoretical basis before the study design and outcomes are described, giving the reader a clear logical sequence to follow.
- The paper maintains an appropriately academic tone throughout and uses comparative language (e.g., contrasting strategy instruction with drill-and-practice) to sharpen its evaluative points.
Key academic technique demonstrated
The paper demonstrates effective use of evidence synthesis: rather than summarizing sources in isolation, it positions each study in relation to a shared theme — the effectiveness of different instructional strategies for students with learning disabilities. This allows the paper to build a cumulative case rather than simply reporting individual findings one by one.
Structure breakdown
The paper opens with prevalence statistics to establish the significance of the problem, then moves through six distinct interventions in roughly chronological order by publication date. Each section follows a consistent pattern: introduce the strategy, describe the study methodology, and report the outcomes. The paper concludes by referencing schema-based instruction as a particularly high-performing approach. A full reference list in APA format closes the paper.
Introduction: Mathematics Challenges for Students With Learning Disabilities
Students with learning disabilities face several academic challenges. More often than not, these students advance approximately one academic year for every two years they attend school. Strategies employed by teachers can have a major impact on enhancing performance across all levels of schooling. Without comprehensive strategies and interventions, students with mathematics disabilities end up considerably lagging behind their peers. Statistics indicate that approximately 25% to 35% of students experience difficulty with math knowledge and application skills. Moreover, 5% to 8% of all school students have such considerable deficits that these affect their capability to solve computation problems (Sayeski and Paulsen, 2010).
According to Hott et al. (2014), strategy training has been beneficial to students with learning disabilities when learning math concepts and practices. One such strategy is RIDE, established by Mercer et al. (2011), which is used to help students answer word problems. Students with learning disabilities who face difficulties with abstract reasoning, memory, and attention skills may largely benefit from this strategy.
Strategy Instruction and Automaticity in Basic Math Facts
Teaching a variety of strategies to children with disabilities helps them learn and retain not only higher-order concepts and problems, but also simple mathematical facts. In particular, automaticity — the capability to undertake tasks without occupying the mind with low-level details — is considered significant for further development and understanding in mathematics for children with learning disabilities. According to Tournaki (2003), automaticity in math is taught either through drill and practice or through the direct teaching of a strategy.
Tournaki's (2003) study showed that it was useful and constructive to teach basic facts to students with learning disabilities via drill and practice. The author further posits that when students with disabilities are taught strategies, they are provided with routine and practical knowledge that can be applied to solving problems. Specifically, the study employed the minimum addend strategy, which involves students counting up from the higher addend by the number of units indicated by the lower addend. This strategy was taught to both students with and without learning disabilities, and comparisons were subsequently made with students in both groups who had been taught through drill and practice.
The outcomes of Tournaki's (2003) study established that students with learning disabilities improved significantly only in the strategy condition, compared to both the control and the drill-and-practice conditions. Furthermore, only students in the strategy condition became significantly more accurate on transfer tasks, for students with and without learning disabilities alike (Tournaki, 2003).
Self-Regulation and Metacognitive Strategies
Montague (2007) argued that students with learning disabilities exhibit significant difficulties with memory, attention, and self-regulation, which adversely affects their performance in both math and reading. According to Montague (2007), self-regulation is considered a metacognitive function that is fundamental to academic success. Students with learning disabilities are generally poor at self-regulation and therefore need to be taught explicitly how to monitor and control their cognitive activities as they engage in academic tasks, such as solving math problems. The author demonstrates that self-regulation strategies can be used to improve the mathematics performance of students with learning disabilities at the elementary, middle, and secondary school levels (Montague, 2007).
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