Utilizing Program Specific Data to Develop Case Studies for Use With Preservice Teachers

Utilizing Program Specific Data to Develop Case Studies for Use With Preservice Teachers

Heather M. Reynolds, A. Tina Wagle
ISBN13: 9781522530688|ISBN10: 1522530681|EISBN13: 9781522530695
DOI: 10.4018/978-1-5225-3068-8.ch001
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MLA

Reynolds, Heather M., and A. Tina Wagle. "Utilizing Program Specific Data to Develop Case Studies for Use With Preservice Teachers." Innovative Practices in Teacher Preparation and Graduate-Level Teacher Education Programs, edited by Drew Polly, et al., IGI Global, 2018, pp. 1-20. https://doi.org/10.4018/978-1-5225-3068-8.ch001

APA

Reynolds, H. M. & Wagle, A. T. (2018). Utilizing Program Specific Data to Develop Case Studies for Use With Preservice Teachers. In D. Polly, M. Putman, T. Petty, & A. Good (Eds.), Innovative Practices in Teacher Preparation and Graduate-Level Teacher Education Programs (pp. 1-20). IGI Global. https://doi.org/10.4018/978-1-5225-3068-8.ch001

Chicago

Reynolds, Heather M., and A. Tina Wagle. "Utilizing Program Specific Data to Develop Case Studies for Use With Preservice Teachers." In Innovative Practices in Teacher Preparation and Graduate-Level Teacher Education Programs, edited by Drew Polly, et al., 1-20. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3068-8.ch001

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Abstract

With a focus on data driven decision making, teacher education programs need to prepare preservice teachers to analyze data while modeling data driven practices in our own programs. Research has demonstrated the effectiveness of using case studies to promote critical thinking, analysis and interpretation, and higher order thinking. This study utilized the results from surveys of residents enrolled in a clinically rich residency program to develop and implement relevant case studies for use in program coursework. The utility of using case studies in graduate coursework was evaluated through a survey of current residents. The theoretical and practical value of creating case studies based on program specific challenges, and examples of the case studies that were generated from this data will be shared.

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