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 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…

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…

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…

This article examines factors that could have influenced whether evaluations of U.S. government--funded foreign assistance programs completed in 2015 had considered unintended consequences. Logit regression models indicate that the odds of considering unintended consequences were increased when all or most of seven standard data collection methods…

Although "free tuition" programs are politically popular, some worry that these programs will exacerbate inequity. Scholars note that program outcomes depend on implementation, but few have probed the contextual conditions that contribute to differences in implementation or the consequences of implementation for equity. To address this…

School counselors are tasked with many activities, including demonstrating the effectiveness of interventions they use with students. The American School Counselor Association recommends that school counselors include assessment, appraisal, and evaluation of delivery and program management in their school counseling program. Single-case research…

Reporting requirements for capturing data on the delivery of Supplemental Nutrition Assistance Program Education (SNAP-Ed) have evolved. University of Minnesota (U of M) Extension developed the SNAP Education Evaluation and Database System (SEEDS) to capture unduplicated participant information for SNAP-Ed programming conducted by U of M Extension…

This systematic literature review analysed research related to education reform published between 2000 and 2020. Empirical evidence from 249 studies identified factors hindering or facilitating the long-term success of reform implementation. Eight overarching, actionable themes were found to influence success. Six themes describe requirements at…

The role of faculty in gathering, analyzing and using student learning data is growing and changing, but still underrepresented in the higher education research literature. While faculty are often expected and required to participate in assessment work, some faculty go beyond assessment work as service to take leadership roles. Using data…