Data-based instruction (DBI) is a process in which teachers use progress data to make ongoing instructional decisions for students with learning disabilities. Curriculum-based measurement (CBM) is a common form of progress monitoring, and CBM data are placed on a graph to guide decision-making. Despite the central role that graph interpretation…

Objective: The purpose of this study was to explore how public community college presidents draw upon data, their core values, and lived experiences to make decisions about how they can best respond to the holistic needs of their students. Method: Utilizing secondary elite focus group data with 15 community college presidents in Texas, we employed…

Although we know advising can be conceptualized as a critical component of an integrated and comprehensive student success strategy on a campus, it is often difficult to implement. This chapter will provide a case study of the development and execution of a leadership initiative at an American Association of State Colleges and Universities (AASCU)…

Accurate and efficient universal screening is a foundational component of multi-tiered systems of support for reading. By the time students reach middle school, educators often have extant data available to inform screening decisions. Therefore, the decision to collect additional data to inform screening should be considered carefully. The…

This article describes the step-by-step process of how data science, marketing and communications, and higher education improved access and success for students. Over the last three years, strategic planning efforts helped develop a data-informed culture on campus. The work described within the playbook required time, energy, and a lot of…

A gap in practice at CES Elementary School (pseudonym) was the lack of data driven instructional decision making that contributed to the problem of low school scores on the State of Texas Assessments of Academic Readiness (STAAR). Low STAAR scores have negatively impacted student, teacher, and administrator retention. Unsuccessfully, data chats…

Purpose: The authors demonstrate the usage of data visualization for conveying educational administration research, with a specific focus on differential principal turnover. They model when and how principals move, over time, between six categories of turnover. Design/methodology/approach: The authors construct several easy-to-interpret alluvial…

Educational data offer a powerful tool for supporting equity. In this article, the authors call for a shift toward greater use of data in educator preparation programs. The authors motivate their proposal by highlighting findings from the Department of Education report released January 2018, which found that the Texas Education Agency…

This qualitative content analysis study examined the framing of equity audits and the Texas Accountability Intervention System (TAIS) plans implemented by aspiring principal fellows to develop a support system for marginalized students. The purpose of this study was to demonstrate how a principal preparation program leverages equity-driven data to…

Student placement test records, course enrollments, and other student-level data collected by community colleges are vital for evaluating the outcomes of students in developmental education (dev-ed) courses. Researchers and policymakers rely on this information to examine the impact of existing programs and assess ongoing reforms to dev-ed -- the…

Student learning objectives (SLOs) have become an increasingly popular tool for teacher evaluations as an alternative to Value-added Models (VAMs). However, the use of SLOs faces two major challenges. First, the target setting is mostly subjective and arbitrary. Second, there is little evidence on the reliability and validity of the tool. In this…

Using data is foundational to school leadership; however, when "data" are narrowly construed as academic outcomes, important data perceived as tangential to academics can be backgrounded, ignored, or unused. Today's school leaders must also attend to data around chronic absenteeism, discipline, learning climate, and social, emotional,…

Just as accountability policies have led to increased levels of teacher data use, teachers have begun to increase the extent to which students track and analyse data about their own learning. Although some might argue that such "student-involved data use" (SIDU) might empower or motivate students to take charge of their own learning…

Survey data were gathered from college and university faculty, staff, and administrators at Hispanic-Serving Institutions (HSI) regarding Hispanic culture and Hispanic students as part of an NSF-funded investigation that focused on the characteristics and programming of HSIs as well as the background and experiences of their students. Two surveys…