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Mikroyannidis, Alexander; Gómez-Goiri, Aitor; Smith, Andrew; Domingue, John – Interactive Learning Environments, 2020
The main challenges commonly associated with acquiring practical network engineering skills are the requirements for access to specialised and up-to-date network equipment, as well as the high costs associated with obtaining and maintaining this equipment. The PT Anywhere initiative addresses these challenges by offering a mobile environment for…
Descriptors: Computer Science Education, Computer Networks, Data Analysis, Engineering
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Lavigne, Alyson L.; Olson, Amy M. – Leadership and Policy in Schools, 2020
The current study explores how principals (n = 568) experience a new teacher evaluation model under Race to the Top. Findings suggest that principals felt the least confident in their ability to identify teacher behaviors associated with student achievement gains and placed the least value on student achievement data. Evaluation experience…
Descriptors: Teacher Evaluation, Value Added Models, Academic Achievement, Accountability
McKay, Heather; Haviland, Sara; Michael, Suzanne – Western Interstate Commission for Higher Education, 2020
The Multistate Longitudinal Data Exchange (MLDE) facilitates data sharing between states from K-12 education, higher education, and labor agencies. Its goal is to provide practitioners, policymakers, and researchers with a comprehensive data source to understand educational and career trajectories, including how these trajectories can cross state…
Descriptors: Trust (Psychology), Longitudinal Studies, State Universities, State Agencies
Rennie Center for Education Research & Policy, 2020
Defining and measuring success are not merely process steps, but critical conversations that shape how education is understood and delivered. They influence how individuals within and outside the system perceive the goals of education. They shape the incentives for stakeholders seeking to improve educational outcomes. Methods of measuring success…
Descriptors: Academic Achievement, Educational Assessment, Measurement, Measurement Objectives
European Training Foundation, 2020
The end of the school year is approaching in most countries of the EU neighbourhood and Central Asia. Most countries closed schools and all forms of face-to-face education and training in mid-March/early April 2020. As the crisis progresses, a stable picture is emerging. Countries have passed through similar stages since the outbreak: being…
Descriptors: COVID-19, Pandemics, Foreign Countries, Disease Control
Sáez, Leilani; Irvin, P. Shawn – Behavioral Research and Teaching, 2020
In this technical report we document the development and piloting of the Learning Receptiveness Assessment (LRA) Greenhouse for Prekindergarten. This technological tool was designed to prevent reading disabilities by supporting effective "assessment-guided instructional decision-making" by Preschool teachers. The LRA Greenhouse comprises…
Descriptors: Preschool Children, Formative Evaluation, Computer Assisted Testing, Reading Readiness
Goodwin, Gretta L. – US Government Accountability Office, 2020
The Bureau of Prisons (BOP) is responsible for managing the care and custody of approximately 175,000 federal inmates--an estimated 20 percent of whom have been diagnosed with a substance use disorder. The Government Accountability Office (GAO) was asked to review BOP's efforts to provide drug treatment to federal inmates. This report (1)…
Descriptors: Correctional Institutions, Institutionalized Persons, Clinical Diagnosis, Substance Abuse
Payne, J. Scott; San Pedro, Sweet Z.; Moore, Raeal; Sanchez, Edgar I. – ACT, Inc., 2020
High-stakes, standardized testing plays an important role in the lives of many students as they apply to college and compete for scholarships. In states where college readiness measures, like the ACT® test, are used for school and district accountability, the ACT scores of all students, whether college-bound or not, are a top priority for school…
Descriptors: Test Preparation, Testing Programs, State Programs, School Districts
von Schroeter, Max; Weiss, Nina; O'Rourke, Thomas – Pioneer Institute for Public Policy Research, 2020
Individual teachers, administrators, and parents made tremendous efforts to continue educating the Commonwealth's children between March and June of this year. But no amount of dedicated individual effort could have overcome fundamental challenges: weak guidance to districts from the Department of Elementary and Secondary Education (DESE) against…
Descriptors: School Closing, School Safety, Disease Control, Distance Education
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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
Elise Swanson; Joseph Kitchen; Tatiana Melguizo; Francisco Martorell – Annenberg Institute for School Reform at Brown University, 2020
We examine the impact of the Thompson Scholars Learning Community (TSLC), a comprehensive college transition program serving students with a variety of majors, on students' science, technology, engineering, and math (STEM)-related outcomes. We use an explanatory mixed-methods design, which prioritizes the quantitative analyses and uses qualitative…
Descriptors: STEM Education, School Transition, Communities of Practice, Student Experience
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Blozis, Shelley A.; Ge, Xiaojia; Xu, Shu; Natsuaki, Misaki N.; Shaw, Daniel S.; Neiderhiser, Jenae M.; Scaramella, Laura V.; Leve, Leslie D.; Reiss, David – Structural Equation Modeling: A Multidisciplinary Journal, 2013
Missing data are common in studies that rely on multiple informant data to evaluate relationships among variables for distinguishable individuals clustered within groups. Estimation of structural equation models using raw data allows for incomplete data, and so all groups can be retained for analysis even if only 1 member of a group contributes…
Descriptors: Data, Structural Equation Models, Correlation, Data Analysis
Regional Educational Laboratory Mid-Atlantic, 2013
This event focused on the What Works Clearinghouse practice guide, "Using Student Achievement Data to Support Instructional Decision Making" (ED506645). During the event, the presenter, Sharnell Jackson, led school data teams in activities involving analysis of their own student data. This Q&A addressed the questions participants had…
Descriptors: Academic Achievement, Decision Making, Data Analysis, Feedback (Response)
Gibson, David; Clarke-Midura, Jody – International Association for Development of the Information Society, 2013
The rise of digital game and simulation-based learning applications has led to new approaches in educational measurement that take account of patterns in time, high resolution paths of action, and clusters of virtual performance artifacts. The new approaches, which depart from traditional statistical analyses, include data mining, machine…
Descriptors: Psychometrics, Educational Games, Educational Research, Data Collection
Reform Support Network, 2013
This publication examines how some States and local educational agencies (LEAs) are implementing teacher evaluations that incorporate measures of student achievement. The information in this publication was collected in response to a technical assistance request to the Reform Support Network from Maryland. Education leaders charged with designing…
Descriptors: Educational Indicators, Teacher Effectiveness, Student Evaluation, Teacher Evaluation
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