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Brookhart, Susan M. – ASCD, 2015
In this book, best-selling author Susan M. Brookhart helps teachers and administrators understand the critical elements and nuances of assessment data and how that information can best be used to inform improvement efforts in the school or district. Readers will learn: (1) What different kinds of data can--and cannot--tell us about student…
Descriptors: Data, Decision Making, Student Evaluation, Data Analysis
Gaševic, Dragan; Jovanovic, Jelena; Pardo, Abelardo; Dawson, Shane – Journal of Learning Analytics, 2017
The use of analytic methods for extracting learning strategies from trace data has attracted considerable attention in the literature. However, there is a paucity of research examining any association between learning strategies extracted from trace data and responses to well-established self-report instruments and performance scores. This paper…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Educational Research
Irby, Stefan M.; Phu, Andy L.; Borda, Emily J.; Haskell, Todd R.; Steed, Nicole; Meyer, Zachary – Chemistry Education Research and Practice, 2016
There is much agreement among chemical education researchers that expertise in chemistry depends in part on the ability to coordinate understanding of phenomena on three levels: macroscopic (observable), sub-microscopic (atoms, molecules, and ions) and symbolic (chemical equations, graphs, etc.). We hypothesize this "level-coordination…
Descriptors: Chemistry, Formative Evaluation, Graduate Students, College Students
Conderman, Greg; Hedin, Laura – Kappa Delta Pi Record, 2012
The accountability movement in education has caused school administrators and teachers to think differently about how they report, interpret, and use student assessment data. For example, legislative measures such as No Child Left Behind require school officials to report how all students are progressing toward established standards typically…
Descriptors: Student Evaluation, Instructional Effectiveness, Teaching Methods, Feedback (Response)
Mandinach, Ellen B.; Gummer, Edith S. – WestEd, 2012
There's much talk about using data to inform education decision-making, both in and beyond the classroom. This paper examines the landscape of data literacy, based on a meeting in May 2012 which brought together the foremost researchers and professional development providers in the field of data-driven decision-making in education. The meeting…
Descriptors: Information Literacy, Data Analysis, Faculty Development, Data
Hart, Ray; Casserly, Michael; Uzzell, Renata; Palacios, Moses; Corcoran, Amanda; Spurgeon, Liz – Council of the Great City Schools, 2015
There has been little data collected on how much testing actually goes on in America's schools and how the results are used. So in the Spring of 2014, the Council staff developed and launched a survey of assessment practices. This report presents the findings from that survey and subsequent Council analysis and review of the data. It also offers…
Descriptors: Urban Schools, Student Evaluation, Testing Programs, Testing
Nabrs Olah, Leslie; Lawrence, Nancy R.; Riggan, Matthew – Peabody Journal of Education, 2010
Although interim assessments are currently promoted as a mechanism for improving teaching and student learning, we know little about how teachers use this data to modify instruction. This article presents findings from a larger study on teachers' use of interim assessment information in elementary mathematics. We address the following questions:…
Descriptors: Educational Assessment, Benchmarking, Evaluation Utilization, Formative Evaluation
Education Development Center, Inc., 2006
Countries that begin implementing the Intel[R] Teach to the Future Essentials course after March of 2006 are required to collect data using the Intel[R] Teach Essentials End of Training Survey to help support program improvement. This End of Training evaluation toolkit provides guidelines on: (1) End of Training Survey administration; (2) The…
Descriptors: Program Effectiveness, Program Improvement, Strategic Planning, Formative Evaluation

Fuchs, Lynn S. – Remedial and Special Education (RASE), 1986
Formative evaluation focuses on program modification based on ongoing measurement of student progress. The literature on formative evaluation for mildly handicapped students indicates that four measurement dimensions are critical: (1) focus of measurement; (2) frequency of measurement; (3) data display; and (4) data utilization methods. (Author/CB)
Descriptors: Data Analysis, Data Interpretation, Evaluation Criteria, Evaluation Utilization
Orr, Margaret Terry – 1995
This document, which is intended for individuals at the state and local levels with responsibility for school-to-work opportunities, focuses on recommended standard procedures for evaluating school-to-work transition programs. In the introduction, the role of evaluation as a critical element in an overall program management strategy is discussed…
Descriptors: Context Effect, Data Analysis, Data Collection, Data Interpretation
D'Amico, Joseph J.; Dawson, Judith A. – 1985
In 1981, the developers of a school-based change effort engaged researchers to conduct an evaluation study employing qualitative methodology that would provide the developers with information that could be used to improve the program. Resource constraints, short timelines, and the developers' preference for useable information encouraged…
Descriptors: Adoption (Ideas), Cooperative Programs, Data Analysis, Data Collection
Reder, Nancy – National Post-School Outcomes Center, 2006
The purpose of this document is to give state directors of special education, especially those who are new in their positions, a guide to understanding their role and responsibilities with respect to the collection, analysis and reporting of post-school outcomes data for Indicator 14 of the Part B State Performance Plan (SPP). To assist state…
Descriptors: Elementary Secondary Education, Educational Objectives, Outcomes of Education, Disabilities