Across higher education, educational developers and their supporting campus communities are being called upon to scale up evidence-informed practices, to enhance student experiences, and to document the changes. This article builds on the work of scholars who have taken up this evaluative challenge, by examining varied aspects of the evidencing…

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…

In 2018, the United States Congress passed the "Strengthening of Career and Technical Education for the 21st Century Act." This legislation included the requirement to conduct a comprehensive local needs assessment, which must include input from community stakeholders. This project designed and evaluated a three-step process that…

In this chapter, we draw on the data collected during our evaluations of six TAACCCT grants to describe the challenges, successes, and transformative effect of adopting a developmental evaluation approach for community college programs.

This paper explores using data mining in English teaching assessment in higher education within the 'Internet + Education' era. Traditional assessment methods struggle to meet modern teaching needs. By collecting diverse data like student performance and learning behavior, and employing data mining, a comprehensive assessment model is built. This…

Educators working in museums, zoos, and botanic gardens are increasingly required to demonstrate impact. These requirements position 'performative evaluation' as the dominant model, one which also acts as a political, non-neutral, and managerial form of accountability. In contrast, 'practice evaluation' is intended to be democratic, dialogic, and…

Traditional student information systems were designed primarily to collect and manage records of course enrollment and credit hours earned, as well as other data elements needed to monitor each student's progress to graduation. Now, institutions want to monitor and improve the quality and equity of students' learning experiences in courses and the…

Higher education professionals often are tasked with providing evidence to stakeholders that programs, services, and practices implemented on their campuses contribute to student success. Furthermore, in the absence of a solid base of evidence related to effective practices, higher education researchers and practitioners are left questioning what…

Education Savings Accounts (ESAs) are government-funded accounts typically established for parents who opt not to enroll their children in public kindergarten through grade 12 (K--12) schools. ESAs allow parents to spend funds that the state would have spent for their student to attend their local public school on a broad array of educational…

A growing understanding of the importance of children's earliest years has led to an increasing desire to measure early childhood development (ECD) outcomes. There are now nearly 150 tools for measuring ECD outcomes internationally, which can make it challenging to choose an appropriate measurement tool for a given measurement effort. This…

Data-based individualization (DBI) is a process of collecting and analyzing data on students' response to intervention and then making intervention adaptations accordingly. Although this process can lead to better student outcomes, very few teachers are trained in the components of DBI, particularly in relation to behavior. Improving practice…

Data--done right--has the power to put schools on the path to true change. Rely on this research-backed resource to help you kickstart, implement, and sustain data-informed school-wide transformation. There are many ways to use student data, and the author's 10 steps offer practical, clear methods for establishing a data team, collecting relevant…

This guidance is for program and agency staff who have identified the need to develop a new data system or make major enhancements to an existing system. Key considerations are presented as questions to help guide staff through the initiation and planning process. The system initiation phase requires a broad team with the expertise and knowledge…

The report "How a Federal Grant Program Is Training and Supporting Educators of English Learners" examines the extent to which National Professional Development (NPD) grantees implemented their projects in ways aligned with program objectives, drawing primarily on a survey of all 2016 and 2017 NPD grantees. This document provides…

Governments and educational authorities around the world are emphasizing performance evaluation of educational systems. Opinion Mining (OM) has gained acceptance among experts in various regions, including the preparation space. The proposed model involves Two modules: the data preprocessing module and the opinion mining module. The main objective…