Math achievement of middle school students has been declining in many large cities in the Midwest. One approach that educators have taken to support student math learning has been to incorporate computational thinking (CT) practices into math instruction. CT is a set of practices that help students break down problems, look for patterns, and design step-by-step solutions. Research has shown that students’ CT knowledge is highly correlated with math achievement. Although interventions are available to support teachers in learning to integrate CT into their instruction, there are few brief and reliable measures that directly assess middle school teachers’ knowledge of how to integrate CT into math instruction. Such measures can alert local and state education agencies if there is a need to strengthen this ability in teachers in their schools. These measures are also critical for evaluating the effectiveness of CT integration into professional learning interventions. In response to this need, and as part of the ENgagement and Achievement through Computational Thinking (ENACT) partnership, REL Midwest developed and tested the Computational Thinking–Pedagogical Content Knowledge (CT–PCK) Survey for middle school math teachers. Key findings from the CT–PCK Survey include the following:
Access the report on the Institute of Education Sciences website. |
Tuesday, April 28, 2026
Middle school math teachers’ pedagogical knowledge of computational thinking
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