Nathan H. Clemens

Solving mathematics word problems requires skills from multiple domains, including efficient word-decoding skills, text comprehension, problem solving, and arithmetic. Word problems can be especially difficult for students with dyslexia (i.e., word-level reading disability), causing frustration for students and teachers. This article discusses the complex process of solving word problems and outlines four strategies for supporting the co-development of skills in word-problem solving and reading for students with dyslexia: (a) adapt word problems for readability and support word reading; (b) teach students to recognize word-problem types; (c) explicitly teach word-problem specific vocabulary; and (d) integrate writing through student-generated word problems.

Data-based instruction (DBI) is a process in which teachers use progress data to make ongoing instructional decisions for students with learning disabilities. Curriculum-based measurement (CBM) is a common form of progress monitoring, and CBM data are placed on a graph to guide decision-making. Despite the central role that graph interpretation plays in the successful implementation of DBI, relatively little attention has been devoted to investigating this skill among special education teachers. In the present study, we examined the data decisions of 32 pre-service special education teachers (29 females and 3 males). Participants viewed data presented sequentially on CBM progress graphs and used a think-aloud procedure to explain their reasoning each time they indicated they would make instructional changes. We also asked participants to make the same type of decisions in response to static CBM progress graphs depicting 10 weeks of data. Overall, there was inconsistency in pre-service teachers’ responses related to when or why they would make an instructional change. Decisions were often influenced by graph-related features, such as variability in the data. Furthermore, responses suggested misunderstandings that led to premature instructional change decisions and reliance on individual data points.