Improving Child Outcomes With Data-Based Decision Making: Interpreting and Using Data

2009 ◽  
Vol 13 (1) ◽  
pp. 2-18 ◽  
Author(s):  
Karen L. Gischlar ◽  
Robin L. Hojnoski ◽  
Kristen N. Missall
2021 ◽  
Vol 24 (1_part_3) ◽  
pp. 2156759X2110119
Author(s):  
Brett Zyromski ◽  
Catherine Griffith ◽  
Jihyeon Choi

Since at least the 1930s, school counselors have used data to inform school counseling programming. However, the evolving complexity of school counselors’ identity calls for an updated understanding of the use of data. We offer an expanded definition of data-based decision making that reflects the purpose of using data in educational settings and an appreciation of the complexity of the school counselor identity. We discuss implications for applying the data-based decision-making process using a multifaceted school counselor identity lens to support students’ success.


2021 ◽  
Vol 11 (3) ◽  
pp. 129
Author(s):  
Gabrielle Wilcox ◽  
Cristina Fernandez Conde ◽  
Amy Kowbel

There are longstanding calls for inclusive education for all regardless of student need or teacher capacity to meet those needs. Unfortunately, there are little empirical data to support full inclusion for all students and even less information on the role of data-based decision making in inclusive education specifically, even though there is extensive research on the effectiveness of data-based decision making. In this article, we reviewed what data-based decision making is and its role in education, the current state of evidence related to inclusive education, and how data-based decision making can be used to support decisions for students with reading disabilities and those with intellectual disabilities transitioning to adulthood. What is known about evidence-based practices in supporting reading and transition are reviewed in relationship to the realities of implementing these practices in inclusive education settings. Finally, implications for using data-based decisions in inclusive settings are discussed.


2021 ◽  
pp. 002221942098612
Author(s):  
Stefan Blumenthal ◽  
Yvonne Blumenthal ◽  
Erica S. Lembke ◽  
Sarah R. Powell ◽  
Patricia Schultze-Petzold ◽  
...  

The purpose of this explorative study was to examine the use and understanding of key components of data-based decision making by educators in two countries—Germany and the United States. Educators responded to a survey that asked about data use and characteristics related to data-based decision making (DBDM). Results suggest educators in both countries are focused on using data to monitor progress, although less so in Germany. Educators in both countries noted similar understanding of important features (e.g., psychometric properties) of data. Educators in the United States reported they used data for decision making at the classroom level almost twice as often as their counterparts in Germany, while German educators focused on decision making at the student level. These findings will influence future research, including joint studies that could use the best practices of both countries, and professional learning opportunities for educators in Germany and the United States.


2009 ◽  
Vol 12 (3) ◽  
pp. 32-44 ◽  
Author(s):  
Robin L. Hojnoski ◽  
Karen L. Gischlar ◽  
Kristen N. Missall

2009 ◽  
Vol 12 (4) ◽  
pp. 15-30 ◽  
Author(s):  
Robin L. Hojnoski ◽  
Karen L. Gischlar ◽  
Kristen N. Missall

2019 ◽  
Vol 55 (1) ◽  
pp. 3-12
Author(s):  
Marissa J. Filderman ◽  
Christy R. Austin ◽  
Jessica R. Toste

The process of implementing intensive reading interventions using data-based decision-making (DBDM) becomes increasingly challenging as students move into the secondary grades and reading tasks correspondingly become more complex. This article provides teachers with guidelines to support effective implementation of DBDM for students with or at risk for reading disabilities in the secondary grades. Specifically, this article presents four steps for secondary teachers to follow within the context of a reading intervention to decide when instructional changes are needed based on progress-monitoring data. Diagnostic assessment is explained to determine students’ strengths and weaknesses in order to target instruction accordingly. A case study is included throughout to demonstrate application of the steps as well as supplemental materials to help teachers implement this practice in their classrooms.


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