Evaluating Computer Science Professional Development for Teachers in the United States

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Abstract

Teacher professional development (PD) is a key factor in enabling teachers to develop mindsets and skills that positively impact students. It is also a key step in building capacity for computer science (CS) education in K-12 schools. Successful CS PD meets primary learning goals and enable teachers to grow their self-efficacy, asset and equity mindset, and interest in teaching CS. As part of a larger study, we conducted a secondary analysis of CS PD evaluation instruments (). We found that instruments across providers were highly dissimilar with limited data collected for measures related to teacher learning, which has implications for future K-12 CS education. Likewise, the instruments were limited in being connected to student learning and academic growth. As a way to enable PD providers to construct measures that align with known impacting factors, we offer recommendations for collecting demographic data and measuring program satisfaction, content knowledge, pedagogical content knowledge, growth and equity mindset, and self-efficacy. We also highlight questions for PD providers to consider when constructing their evaluation, including reflecting community values, the goals of the PD, and how the data collected will be used to continually improve CS programs.

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Mcgill, M. M., Zarch, R., Sexton, S., Smith, J. M., Ong, C., Rasberry, M., & Hollis, S. (2021). Evaluating Computer Science Professional Development for Teachers in the United States. In ACM International Conference Proceeding Series. Association for Computing Machinery. https://doi.org/10.1145/3488042.3488054

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