One of the critical barriers to increasing pre-collegiate computer science course offerings in the U.S. is a lack of qualified computer science teachers. Programs such as TEALS, a teacher preparation program pairing high school teachers with computing professionals to offer CS courses, provide opportunities for in-service teachers to gain experience teaching computer science. However, it is not clear whether the high school teachers develop sufficient pedagogical expertise to sustain high-quality computer science course offerings at their schools. Furthermore, the field of computer science education lacks valid and reliable ways of measuring pedagogical content knowledge (PCK), a construct that describes the knowledge teachers need for effective instruction. In this poster, the authors present these results from the first year of a three-year NSF grant to study how TEALS participation influences novice computer science teachers' PCK: 1) a theoretical framework describing the critical components of CS PCK, 2) the results of the first field test of a CS PCK assessment, including the psychometric properties of the assessment, and 3) a comparison of how teachers performed on the assessment at the beginning and end of their first year of computer science teaching and how they performed relative to their computing professional mentors.
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Applying the Mathematical Work of Teaching Framework to Develop a Computer Science Pedagogical Content Knowledge Assessment
Pedagogical content knowledge (PCK) is specialized knowledge necessary to teach a subject. PCK integrates subject-matter content knowledge with knowledge of students and of teaching strategies so that teachers can perform the daily tasks of
teaching. Studies in mathematics education have found correlations between measures of PCK and student learning. Finding robust, scalable ways for developing and measuring computer science (CS) teachers’ PCK is particularly important in CS education in the United States, given the lack of formal CS teacher preparation programs and certifications. However, measuring pedagogical content knowledge is a challenge for all subject areas. It can be difficult to write assessment items that elicit the different aspects of PCK and there are often multiple appropriate pedagogical choices in any given teaching scenario. In this paper, we describe a framework and pilot data from a
questionnaire intended to elicit PCK from teachers of high school introductory CS courses and we propose future directions for this work.
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- Award ID(s):
- 1348866
- NSF-PAR ID:
- 10128095
- Date Published:
- Journal Name:
- SIGCSE '18: 49th Technical Symposium on Computer Science Education
- Page Range / eLocation ID:
- 888 to 893
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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The recent groundswell of interest in computer science education across many countries has created a pressing need for computing teachers at the secondary level. To satisfy this demand, some educational systems are drawing from their pool of in-service teachers trained in other disciplines. While these transitioning teachers can learn about computing pedagogy and subject matter at professional learning workshops, daily teaching experiences will also be a source of their learning. We studied a co-teaching program where instructional responsibilities were distributed between teachers and volunteers from the tech industry to explore how specific teaching practices supported teacher learning, with a focus on pedagogical content knowledge (PCK). Through qualitative analysis of questionnaire and interview data gathered from three teachers during one school year, we identified the practices they engaged in and how their learning related to the enactment of those practices. Our results highlight several factors that influenced the ways in which teaching practices provided participants with opportunities to learn PCK: (a) active participation of students and volunteers; (b) teacher’s level of content knowledge; (c) interdependent practices; and (d) immediacy of the classroom environment.more » « less
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Teachers’ pedagogical content knowledge (PCK) is a complex, multifaceted construct that is widely seen as foundational to the act of teaching. In this synthesis, we investigated how the National Science Foundation’s (NSF’s) recent research investments have advanced understanding and supported the development of teachers’ PCK in PK–12 mathematics and science education. In the 5 years from 2011 to 2015, NSF’s Discovery Research PK–12 program (DRK-12) funded or cofunded 27 projects relating to PCK, totaling $62 million awarded. These 27 DRK-12 projects primarily applied correlational/observational and longitudinal methods (rather than quasi-experimental or experimental methods), often targeting teaching in the middle school grades. Our synthesis of empirical findings focused on how these projects studied PCK, including its measurement, development, and relationship to teaching and student learning. Link to PDF: https://www.air.org/sites/default/files/2022-05/Teachers-Pedagogical-Content-Knowledge-in-Math-and-Science-April-2022.pdfmore » « less
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Abstract There is strong agreement in science teacher education of the importance of teachers' content knowledge for teaching (CKT), which includes their subject matter knowledge and their pedagogical content knowledge. However, there are limited instruments that can be easily administered and scored on a large scale to assess and study elementary science teachers' CKT. Such measures would support strategic monitoring of large groups of science teachers' CKT and the investigation of comparative questions about science teachers' CKT longitudinally across the professional continuum or across teacher education or professional development sites. To address this gap, this study focused on designing an automatically scorable summative assessment that can be used to measure preservice elementary teachers' (PSETs') CKT in one high‐leverage science content area: matter and its interactions. We conducted a field test of this CKT instrument with 822 PSETs from across the United States and used the response data to examine how this instrument functions as a potential tool for measuring PSETs' CKT in this science content area. Results suggest this instrument is reliable and can be used on large scale to support valid inferences about PSETs' CKT in this content area. In addition, the dimensionality analysis showed that all items measure a single construct of CKT about matter and its interactions, as participants did not show any differential performance by content topic or work of teaching science instructional tool categories. Implications for progressing the field's understanding of the nature of CKT and approaches to developing summative instruments to assess science teachers' CKT are discussed.
- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3159450.3159521
