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Lewis, Kendra M.; Ewers, Timothy; Bird, Marianne; Wilkins, Tamekia – Journal of Extension, 2019
A data party is an engaging way to involve stakeholders in program evaluation. We explain the use of a data party for engaging 4-H program stakeholders (e.g., staff and volunteers) in data interpretation and helping them understand, embrace, and use program evaluation information to make data-driven decisions about their programs. We present two…
Descriptors: Program Evaluation, Stakeholders, Data Interpretation, Data Use
Silvia-Jessica Mostacedo-Marasovic; Cory T. Forbes – International Journal of Sustainability in Higher Education, 2024
Purpose: A faculty development program (FDP) introduced postsecondary instructors to a module focused on the food-energy-water (FEW) nexus, a socio-hydrologic issue (SHI) and a sustainability challenge. This study aims to examine factors influencing faculty interest in adopting the instructional resources and faculty experience with the FDP,…
Descriptors: Faculty Development, Learning Modules, Program Evaluation, Program Attitudes
May, Henry; Blackman, Horatio; Van Horne, Sam; Tilley, Katherine; Farley-Ripple, Elizabeth N.; Shewchuk, Samantha; Agboh, Darren; Micklos, Deborah Amsden – Center for Research Use in Education, 2022
In this technical report, the Center for Research Use in Education (CRUE) presents the methodological design of a large-scale quantitative investigation of research use by school-based practitioners through the "Survey of Evidence in Education for Schools (SEE-S)." It documents the major technical aspects of the development of SEE-S,…
Descriptors: Surveys, Schools, Educational Research, Research Utilization
Gouëdard, Pierre – OECD Publishing, 2021
Across OECD countries, the increasing demand for evidence-based policy making has further led governments to design policies jointly with clear measurable objectives, and to define relevant indicators to monitor their achievement. This paper discusses the importance of such indicators in supporting the implementation of education policies.…
Descriptors: Educational Indicators, Program Implementation, Educational Policy, Policy Formation

Journal of Industrial Teacher Education, 1986
This article reviews and analyzes the literature from 1980 through 1983 dealing with summative evaluation of training and development efforts in industry and business. An analysis is made to determine to what extent evaluation process components used by professional program evaluators are addressed by each of the articles reviewed. (CT)
Descriptors: Data Interpretation, Decision Making, Employment Qualifications, Evaluation Methods
Creighton, Theodore B. – Corwin Press, 2006
Since the first edition of "Schools and Data", the No Child Left Behind Act has swept the country, and data-based decision making is no longer an option for educators. Today's educational climate makes it imperative for all schools to collect data and use statistical analysis to help create clear goals and recognize strategies for…
Descriptors: Federal Legislation, Program Evaluation, Educational Technology, Decision Making

Gable, Robert A.; Arllen, Nancy L.; Evans, William H.; Whinnery, Keith M. – Preventing School Failure, 1997
This discussion of collaboration between general and special educators focuses on selection of instructional interventions in mainstream settings and curriculum-based methods of evaluating programs designed to increase the academic performance of students with and without disabilities. It then suggests ways to incorporate data-based decision…
Descriptors: Curriculum Based Assessment, Data Collection, Data Interpretation, Decision Making
Ysseldyke, James; And Others – 1994
This paper examines issues in gathering data for purposes of making accountability decisions for students with disabilities. The first section describes five alternative methods being used: (1) administration of norm-referenced tests; (2) focus on results or outcomes; (3) Individualized Education Program aggregation; (4) secondary analysis of…
Descriptors: Accountability, Data Collection, Data Interpretation, Decision Making