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Brooke Wilkins – Phi Delta Kappan, 2025
An efficient assessment cycle is a necessary component of early literacy instruction. To support student growth, educators must screen, diagnose, and monitor student progress. Diagnostic assessments provide critical information that can empower educators to address student needs. Using information from diagnostic assessments requires educators to…
Descriptors: Diagnostic Tests, Data Use, Emergent Literacy, Models
Švábenský, Valdemar; Baker, Ryan S.; Zambrano, Andrés; Zou, Yishan; Slater, Stefan – International Educational Data Mining Society, 2023
Students who take an online course, such as a MOOC, use the course's discussion forum to ask questions or reach out to instructors when encountering an issue. However, reading and responding to students' questions is difficult to scale because of the time needed to consider each message. As a result, critical issues may be left unresolved, and…
Descriptors: Generalization, Computer Mediated Communication, MOOCs, State Universities
Slater, Stefan; Baker, Ryan S.; Wang, Yeyu – International Educational Data Mining Society, 2020
Feature engineering, the construction of contextual and relevant features from system log data, is a crucial component of developing robust and interpretable models in educational data mining contexts. The practice of feature engineering depends on domain experts and system developers working in tandem in order to creatively identify actions and…
Descriptors: Data Analysis, Engineering, Classification, Models
Matsuda, Noboru; Furukawa, Tadanobu; Bier, Norman; Faloutsos, Christos – International Educational Data Mining Society, 2015
How can we automatically determine which skills must be mastered for the successful completion of an online course? Large-scale online courses (e.g., MOOCs) often contain a broad range of contents frequently intended to be a semester's worth of materials; this breadth often makes it difficult to articulate an accurate set of skills and knowledge…
Descriptors: Online Courses, Skills, Automation, Models
Auspos, Patricia – Annie E. Casey Foundation, 2017
Integrated data systems are often used to inform decision making at the top tiers of local or state government. Policymakers use analyses based on large numbers of integrated data system (IDS) records (from which personal identifying information has been removed) to understand the overlap between cases that receive services from different systems…
Descriptors: Prediction, Models, Data Use, Databases
Neely, Stephen R.; Diebold, Jeffrey – Education Policy Analysis Archives, 2016
The relationship between public education expenditures and student outcomes remains an important concern for policy analysts, educational administrators, and the public at large. While previous studies have failed to identify a consistent relationship between public investments in education and positive student outcomes, most analyses have not…
Descriptors: Expenditures, Public Education, Productivity, Outcomes of Education
Salvesen, Susan L. – ProQuest LLC, 2016
With the passing of Act 82, the state of Pennsylvania has provided school districts with Danielson's Framework as a tool for principals to evaluate teachers. The purpose of this study was to determine the perceived professional development needs of Pennsylvania principals as they implemented the new educator effectiveness system. Three hundred…
Descriptors: Principals, Professional Development, Needs Assessment, Personnel Needs
Hadley, Barbara; Rudolph, Kara E.; Mogul, Marjie; Perry, Deborah F. – ZERO TO THREE, 2014
Maternal, Infant, and Early Childhood Home Visiting legislation permits states to fund "promising practices"--with the understanding that these models will have a rigorous evaluation component. This article describes an innovative, low cost paraprofessional home visiting model developed in Pennsylvania by the Maternity Care Coalition. In…
Descriptors: Home Visits, Early Intervention, Paraprofessional Personnel, Models
Sirinides, Philip; Fink, Ryan – Regional Educational Laboratory Mid-Atlantic, 2014
Faced with rising demand for information about early childhood programs, states need to find tools and strategies to monitor the progress of and to identify high-quality early childhood programs. In response, REL Mid-Atlantic convened a regional workgroup for state personnel who work with the systems containing early childhood data. The workgroup…
Descriptors: Early Childhood Education, Educational Strategies, Educational Practices, Effective Schools Research
Demski, Jennifer – T.H.E. Journal, 2009
Response to Intervention, or RTI, is a framework for using data to establish the nature and degree of the help a student needs, and then applying strategies targeting those areas. It is a carefully drawn, systematic form of data-driven decision-making that establishes multiple stages of interventions for varying degrees of problems. Though some…
Descriptors: Student Needs, Disabilities, Decision Making, Data
Lipscomb, Stephen; Chiang, Hanley; Gill, Brian – Mathematica Policy Research, Inc., 2012
The Commonwealth of Pennsylvania plans to develop a new statewide evaluation system for teachers and principals in its public schools by school year 2013-2014. To inform the development of this evaluation system, the Team Pennsylvania Foundation (Team PA) undertook the first phase of the Pennsylvania Teacher and Principal Evaluation…
Descriptors: Academic Achievement, Models, Outcomes of Education, Teacher Evaluation
Lipscomb, Stephen; Chiang, Hanley; Gill, Brian – Mathematica Policy Research, Inc., 2012
The Commonwealth of Pennsylvania plans to develop a new statewide evaluation system for teachers and principals in its public schools by school year 2013-2014. To inform the development of this evaluation system, the Team Pennsylvania Foundation (Team PA) undertook the first phase of the Pennsylvania Teacher and Principal Evaluation…
Descriptors: Academic Achievement, Models, Outcomes of Education, Teacher Evaluation
Bozick, Robert; Gonzalez, Gabriella; Engberg, John – Journal of Student Financial Aid, 2015
The Pittsburgh Promise is a scholarship program that provides $5,000 per year toward college tuition for public high school graduates in Pittsburgh, Pennsylvania who earned a 2.5 GPA and a 90% attendance record. This study used a difference-in-difference design to assess whether the introduction of the Promise scholarship program directly…
Descriptors: Merit Scholarships, College Bound Students, Enrollment Influences, Enrollment Management
Baker, Ryan S.; Hershkovitz, Arnon; Rossi, Lisa M.; Goldstein, Adam B.; Gowda, Sujith M. – Journal of the Learning Sciences, 2013
We present a new method for analyzing a student's learning over time for a specific skill: analysis of the graph of the student's moment-by-moment learning over time. Moment-by-moment learning is calculated using a data-mined model that assesses the probability that a student learned a skill or concept at a specific time during learning (Baker,…
Descriptors: Learning Processes, Intelligent Tutoring Systems, Probability, Skill Development
Adzima, Kerry – Journal of School Choice, 2014
As charter school waitlists around the United States continue to grow, it is important to analyze the factors that are possibly attracting parents away from the traditional public school setting and into the charter school system. Using waitlist data from Pennsylvania to proxy for parental valuation, the article examines numerous factors that…
Descriptors: Charter Schools, Parent Attitudes, Performance Factors, Data Analysis