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Kentucky Teacher Education Journal: The Journal of the Teacher Education Division of the Kentucky Council for Exceptional Children

Data-based decision making

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Full-Text Articles in Education

Pre-Service Teachers’ Experiences With Multi-Tiered Systems Of Support: Universal Screening & Intervention Planning, Alexandra J. Taylor, Tommy Wells, Amy Lein Dec 2023

Pre-Service Teachers’ Experiences With Multi-Tiered Systems Of Support: Universal Screening & Intervention Planning, Alexandra J. Taylor, Tommy Wells, Amy Lein

Kentucky Teacher Education Journal: The Journal of the Teacher Education Division of the Kentucky Council for Exceptional Children

Assessment plays a key role in the multi-tiered system of support (MTSS) model. Universal screening is an assessment component embedded into MTSS, specifically within the response to intervention framework. The process of administering, scoring, and analyzing data from a universal screener is an essential skill that pre-service teachers need to gain in their educator preparation programs. In this qualitative, case study approach, we examined the ways an experimental learning project in implementing universal screeners impact pre-service teachers’ beliefs and practices for Tier 1 of MTSS. The project was provided to pre-service teachers to give them familiarization with the implementation of …


Setting Sail For Early Learning Success: Using A Data-Based Decision Making Process To Measure And Monitor Outcomes In Early Childhood Programs, Howard S. Muscott, Tina M. Pomerleau, Kristy L. Park, Elizabeth A. Steed, Andy J. Frey, Tara L. Korfhage May 2011

Setting Sail For Early Learning Success: Using A Data-Based Decision Making Process To Measure And Monitor Outcomes In Early Childhood Programs, Howard S. Muscott, Tina M. Pomerleau, Kristy L. Park, Elizabeth A. Steed, Andy J. Frey, Tara L. Korfhage

Kentucky Teacher Education Journal: The Journal of the Teacher Education Division of the Kentucky Council for Exceptional Children

The use of data to inform decision-making and monitor individual student progress is recognized as an important, yet elusive practice in early childhood programs. In this article, Data-based Navigation is presented as a five step data-based decision making process designed to help early childhood professionals measure and monitor desired programmatic outcomes. A case study that focuses on the reduction of challenging behaviors is provided to illustrate the process.