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Direct linkBuzhardt, Jay; Greenwood, Charles R.; Jia, Fan; Walker, Dale; Schneider, Naomi; Larson, Anne L.; Valdovinos, Maria; McConnell, Scott R. – Exceptional Children, 2020
Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…
Descriptors: Data Analysis, Decision Making, Special Education, Infants
Buzhardt, Jay; Greenwood, Charles R.; Jia, Fan; Walker, Dale; Schneider, Naomi; Larson, Anne L.; Valdovinos, Maria; McConnell, Scott R. – Grantee Submission, 2020
Data-driven decision making (DDDM) helps educators identify children not responding to intervention, individualize instruction, and monitor response to intervention in multitiered systems of support (MTSS). More prevalent in K-12 special education, MTSS practices are emerging in early childhood. In previous reports, we described the Making Online…
Descriptors: Data Analysis, Decision Making, Special Education, Infants
Ramnarain, Taramattie – ProQuest LLC, 2013
The intent of this investigation was to examine the Kaplan K-12 program in an intervention process and identify the determinants that contributed to the void in performance in English language arts in Grade 3. As such, the researcher selected the Kaplan K-12 intervention program to shrink the void in performance in the English language arts within…
Descriptors: Language Arts, Grade 3, Intervention, Poverty
Pearson, 2018
aimswebPlus® is an assessment, data management, and reporting system that provides national and local performance and growth norms for the screening and progress monitoring of math and reading skills for all students in kindergarten through 8th grade. aimswebPlus uses two types of measures: (1) "curriculum-based measures" (CBMs)--brief,…
Descriptors: Management Systems, Data Analysis, Standards, Response to Intervention
Thompson, Carla J. – Journal of Educational Research and Practice, 2012
Improving student performance for high-need student populations by improving the use of data in decision-making for early reading intervention programs in northwest Florida is the focus of this research to practice effort. The study is conceptually based on using a relational-feedback intervention (RFI) database model in early learning…
Descriptors: Early Intervention, Reading Instruction, Reading Programs, Data Collection
