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Abstract Teachers must know how to use language to support students in knowledge generation environments that align to the Next Generation Science Standards. To measure this knowledge, this study refines a survey on teachers’ knowledge of language as an epistemic tool. Rasch modelling was used to examine 15 items’ fit statistics and the functioning of a previously-designed questionnaire’s response categories. Cronbach’s alpha reliability was also examined. Additionally, interviews were used to investigate teachers’ interpretations of each item to identify ambiguous items. The results indicated that three ambiguous items were deleted based on qualitative data and three more items were deleted because of negative correlation and mismatched fit statistics. Finally, we present a revised language questionnaire with nine items and acceptable correlation and good fit statistics, with utility for science education researchers and teacher educators. This research contributes a revised questionnaire to measure teachers’ knowledge of language that could inform professional development efforts. This research also describes instrument refinement processes that could be applied elsewhere.
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Development of a questionnaire on teachers' knowledge of language as an epistemic tool
We report on the development of a new instrument for measuring teachers' knowledge of language as an epistemic tool in science classes. Language is essential for science learning, as all learning requires the use of language to constitute one's own ideas and to engage with others' ideas. Teachers with knowledge of language as an epistemic tool can recognize the ways that language allows students to generate and validate knowledge for themselves, rather than to replicate canonical knowledge transmitted by other sources.We used a construct‐driven development approach with iterations of domain analysis, item revision, teacher feedback, expert review, and item piloting to address the content, substance, and structure aspects of validity. Data from 158 preservice and in‐service teachers on 27 preliminary items were collected. Findings from Rasch measurement modeling indicate a single dimension fits the items well and can distinguish teachers of higher and lower knowledge. We revised and selected 15 items for an updated instrument. This contributes to ongoing measurement projects and provides a potential instrument for future, broader use by the field to gauge teachers' knowledge of language as an epistemic tool.
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- Award ID(s):
- 1812576
- PAR ID:
- 10216126
- Date Published:
- Journal Name:
- Journal of research in science teaching
- ISSN:
- 1098-2736
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/DOI: 10.1002/tea.21666
