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Corrado Matta; Jannika Lindvall; Andreas Ryve – American Journal of Evaluation, 2024
In this article, we discuss the methodological implications of data and theory integration for Theory-Based Evaluation (TBE). TBE is a family of approaches to program evaluation that use program theories as instruments to answer questions about whether, how, and why a program works. Some of the groundwork about TBE has expressed the idea that a…
Descriptors: Data Analysis, Theories, Program Evaluation, Information Management
Collin Shepley – Journal of Autism and Developmental Disorders, 2024
Program evaluation is an essential practice for providers of behavior analytic services, as it helps providers understand the extent to which they are achieving their intended mission to the community they serve. A proposed method for conducting such evaluations, is through the use of a consecutive case series design, for which cases are…
Descriptors: Program Evaluation, Data Collection, Data Analysis, Evaluation Methods
Jiang Li; Chen Zhu; Mark Goh – Research Evaluation, 2025
Data Envelopment Analysis (DEA) is a widely adopted non-parametric technique for evaluating R&D performance. However, traditional DEA models often struggle to provide reliable solutions in the presence of data uncertainty. To address this limitation, this study develops a novel robust super-efficiency DEA approach to evaluate R&D…
Descriptors: Foreign Countries, Research and Development, COVID-19, Pandemics
David Burlinson; Matthew Mcquaigue; Alec Goncharow; Kalpathi Subramanian; Erik Saule; Jamie Payton; Paula Goolkasian – Education and Information Technologies, 2024
BRIDGES is a software framework for creating engaging assignments for required courses such as data structures and algorithms. It provides students with a simplified API that populates their own data structure implementations with live and real-world data, and provides the ability for students to easily visualize the data structures they create as…
Descriptors: Computer Science Education, Majors (Students), Student Interests, College Faculty
Jordon J. Beasley – Professional School Counseling, 2024
Given the ever-evolving role of school counselors and increasing demands placed on them in today's sociopolitical climate, proficiency in program evaluation is more important than ever as school counselors advocate for their role and for comprehensive school counseling program delivery in schools. This article presents a reexamination of the…
Descriptors: Professional Identity, Counselor Training, Decision Making, Self Efficacy
Pinar Aksoy; Frank M. Gresham – International Journal of Psychology and Educational Studies, 2024
The preschool years, spanning from birth to age six, are crucial periods for acquiring social-emotional learning (SEL) skills. An effective way to address social-emotional learning deficits is to implement evidence-based intervention programs. The purpose of this article is to review specific evidencebased social-emotional learning intervention…
Descriptors: Social Emotional Learning, Evidence Based Practice, Preschool Children, Intervention
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
National Forum on Education Statistics, 2024
The "Forum Guide to Data Literacy" is designed to help education agencies understand and build data literacy skills among various stakeholder groups such as administrators, teachers, students, parents and other caregivers, school board members, legislators, and community groups. This resource defines and discusses the importance of data…
Descriptors: Public Agencies, Statistics, Data Analysis, Statistics Education