Purpose: The main objective of the paper is to develop an investment model using data envelopment analysis (DEA) that provides a decision-making framework to allocate resources efficiently, such that the relative efficiency is improved within an available investment budget. Design/methodology/approach: Firstly, DEA models are used to evaluate the…

While the use of numbers in governance has a long history, the kinds of numbers we now produce enable a range of new possibilities for monitoring, regulation and policy decision-making. Global policy actors are now calling for a steep increase in investment in education data. The growing trust in numbers has been critiqued by education policy…

Complete College America (CCA) is partnered with the National Student Clearinghouse in promoting the latter's Postsecondary Data Partnership (PDP), a data and reporting tool for tracking student success metrics. The PDP is offered at nominal cost, built for democratized data access, and encompasses transfer data native to Clearinghouse products,…

The main goal of learning analytics and early detection systems is to extract knowledge from student data to understand students' trends of activities towards success and risk and design intervention methods to improve learning performance and experience. However, many factors contribute to the challenge of designing and building effective…

This Case Study provides an understanding of the ways in which intersectional feminist research can be carried out despite the complexities of sensitive data and a precarious landscape. The term "sensitive data" captures the taboo nature and cultural hesitance surrounding women's bodies and the practice of female genital cutting.…

Research indicates that data-informed practice helps teachers change their teaching and promotes teacher professional development (TPD). Although educational data are often collected from digital spaces, in-action evidence from physical spaces is seldom gathered, providing an incomplete view of the classroom reality. Also, most learning analytics…

The idea of data-based decision-making (DBDM) at the classroom level is that teachers use assessment data to adapt their instruction to students' individual needs and thus improve students' learning progress. In this study, we first investigate this theoretically assumed DBDM process, and second, we evaluate the effectiveness of teacher support on…

Prioritizing social, emotional, and behavioral supports is essential for student success. By establishing systems to support students' social (how they interact), emotional (how they feel), and behavioral (how they act) needs and growth, educators and leaders can ensure that all students have full access to instruction and the essential skills for…

A revised version of a traditional physical chemistry laboratory experiment has been developed to enhance student discussion in the laboratory and to improve students' connections between physical chemistry concepts and real molecular systems. In this experiment, students explore the keto-enol tautomerization of 2,4-pentanedione. However, unlike…

Research data services--support offerings which enable and improve data-intensive research--have garnered sustained attention from library research support service providers for nearly two decades. Libraries have played a leading role in developing research data services, and on most university campuses they provide the largest and most diverse…

The National Association of School Psychology recognizes the role that family engagement holds on school functioning and student outcomes. This article describes a qualitative study using constructivist grounded theory to explore systems-level family engagement practices in urban schools that implemented a Comprehensive Behavioral Health Model…

Adapting interventions based on learner progress is paramount to the effectiveness of interventions in special education and applied behavior analysis. Although there is some research on effective methods for training practitioners to make general instructional decisions (e.g., modify an intervention) based on graphed performance data, research on…

This dissertation study explores how teachers perceive and use data to inform their instructional practices and ultimately impact student achievement. The research focuses on whether or not data availability impacted how often teachers used data for instructional purposes and if leadership and coaching practices impacted teachers' perception of…

Students need to know how to discern patterns and make decisions using visual information in our modern economy. However, there are few sources of real-world information available to instructors that give students access to visualizations to help develop their skills in interpreting complex situations using diverse data sources. This article…

According to the United States Department of Education (2012, 2016), degree completions are a vital measure of overall institution success. Significantly, declining student persistence rates and low degree completions are consistent problems in public colleges throughout the United States. Not only are diminishing retention and incomplete degrees…