A Multistate District-Level Cluster Randomized Trial of the Impact of Data-Driven Reform on Reading and Mathematics Achievement
By Deven Carlson, Geoffrey D. Borman, M. Robinson. 2011
245 citations recorded by the source corpus.
Subfields: Education, Information Systems and Management, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/871c8f60bc25c994492e8e422ef4594b6ce14245
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
- Kim Schildkamp
- Sheryl L. Honig
- Cees A. W. Glas
- A. J. Visscher
- Ellen B. Mandinach
- Janke M. Faber
- Arie van der Ploeg
- S. Miller
In Information Systems and Management
- Kim Schildkamp
- Edith S. Gummer
- A. J. Visscher
- Ellen B. Mandinach
- Marieke van Geel
- Jean-Paul Fox
- Trynke Keuning
- Sheryl L. Honig
In Management Science and Operations Research
- Jean-Paul Fox
- A. J. Visscher
- Edith S. Gummer
- Marieke van Geel
- Trynke Keuning
- Sheryl L. Honig
- Todd D. Reeves
- Cees A. W. Glas
Citations in the corpus
- A Systemic View of Implementing Data Literacy in Educator Preparation (2013, background): “A recent study (Carlson, Borman, & Robinson, 2011) found mixed results for mathematics and reading achievement from a districtwide data-JANUARY driven reform intervention.”
- The Impact of Indiana’s System of Interim Assessments on Mathematics and Reading Achievement (2013, background): “First, Carlson, Borman, and Robinson (2011) reported very small (nearly .06 SDs) but significant impacts of the 4Sight quarterly assessment program on mathematics achievement in Grades 3 through 8, but not on reading.”
- Differentiated instruction in a data-based decision-making context (2018, background): “research projects (Carlson et al., 2011; Cordray et al., 2012; Konstantopoulos et al., 2013; May & Robinson, 2007; Van Geel et al., 2016; Van Kuijk et al., 2016); however, our knowledge of how DBDM affects student achievement is still very limited.”
- Assessing the Effects of a School-Wide Data-Based Decision-Making Intervention on Student Achievement Growth in Primary Schools (2016, background): “…a higher percentage of students with a lower socioeconomic background on average score less well than schools with a high-SES student population (Carlson et al., 2011; Inspectie van het Onderwijs, 2012). van Geel et al. Since teachers are more likely to underestimate the potential of students…”
- A classroom data literacy intervention for pre-service teachers (2015, background): “A second element found in reportedly effective data use interventions is the presence of an expert facilitator (Carlson et al. 2011; Gearhart & Osmundson, 2009; McDougal et al., 2007).”
- The Production of Human Capital in Developed Countries: Evidence from 196 Randomized Field Experiments (2016, unknown): “…have implemented various tutoring experiments, management best practices, and programs designed to increase the human capital of the adults in school buildings (e.g. Fryer 2014; Cook et al. 2014; Clark et al. 2013; Garet et al. 2008; Carlson et al. 2011; May et al. 2013; Blachman et al. 2004).”
- Combining the best of two worlds: a conceptual proposal for evidence-informed school improvement (2017, background): “However, several others suggest that, under the right conditions (i.e. a professional development intervention), data use can lead to school improvement in terms of higher student achievement (e.g. Carlson, Borman, and Robinson 2011; Lai et al. 2014; Van Geel et al. 2016) .”