Author Jason Williams develops a framework that balances data-based decision making with a deep consideration for addressing students' unique needs to foster improved learning outcomes. Focusing on five qualities integral to a healthy data culture, Williams offers educators a simple, reliable way to assess and reconsider their data practices to…

Purpose: In light of a need for more critical education about datafication, this paper aims to develop a framework for critical datafication literacy that is grounded in theoretical and empirical research. The framework draws upon existing critical data literacies, an in-depth analysis of three well-established educational approaches - media…

The purpose of this study is to review journal papers on educational big data research published from 2010 to 2018. A total of 143 papers were selected. The papers were characterized based on three dimensions: (a) educational goals; (b) educational problems addressed; and (c) big data analytical techniques used. A qualitative content analysis…

Members of the Data Science Program at George Washington University (GWU) designed and implemented a tuition-free two-week summer camp at GWU for high-school students from the Washington Metro Area. The United States Department of Agriculture (USDA) Office of the Chief Information Officer and his staff were our main partners in the project. The…

Leading an individualized education program (IEP) meeting can be a daunting task for special education teachers, particularly if they want to make changes to the status quo when it comes to inclusive opportunities for students with higher support needs. This article explores how special educators can begin to advocate for that change within their…

This report describes examples of actions that school principals have taken in trying to lead turnaround. Most principals have either not worked in a turnaround situation or have fallen short in a turnaround attempt, despite their best efforts. Not all of the principals highlighted in this report have successfully turned around their schools, but…

Existing personalized learning systems (PLSs) have primarily focused on providing learning analytics using data from learners. In this paper, we extend the capability of current PLSs by incorporating data from instructors. We propose a latent factor model that analyzes instructors' preferences in explicitly "excluding" particular…

In this paper, we study the relationship between the use of "crib sheets" or "cheat sheets" and performance on in-class exams. Our extensive survey of the existing literature shows that it is not decisive on the questions of when or whether crib sheets actually help students to either perform better on an exam or better learn…

The pivot point for educational change is now firmly placed with the district, rebalancing the position of the state and the school relative to the local education agency (LEA). The state education agency (SEA) has been shifting its emphasis for decades, from a compliance-focused authority to a change agent equipped with systems, processes,…

In this book, author, consultant, and longtime educator Betsy Moore shows teachers how to use data to make informed instructional changes in their classrooms. Strategies will help them to pinpoint and carry out instructional changes that ensure student success. Teachers will learn to: (1) Compile and make sense of data; (2) Analyze data--Find out…

The overall picture that emerges from a review of literature pinpoints two elements that inhibit recruiting and hiring effective principals. Primary hindrances include the growing shortage of qualified applicants in conjunction with a growing student population and the reality of the challenging demands, responsibilities, and complexities of the…

The need to manage, analyze, and extract knowledge from data is pervasive across industry, government, and academia. Scientists, engineers, and executives routinely encounter enormous volumes of data, and new techniques and tools are emerging to create knowledge out of these data, some of them capable of working with real-time streams of data. The…

With the increase in available educational data, it is expected that Learning Analytics will become a powerful means to inform and support learners, teachers and their institutions in better understanding and predicting personal learning needs and performance. However, the processes and requirements behind the beneficial application of Learning…

Although there is an emerging body of research that examines data-driven decision making (DDDM) in schools, little attention has been paid to how local leaders strategically frame sensemaking around data use. This exploratory case examines how district and school leaders consciously framed the implementation of DDDM in one urban high school.…

This study investigated an innovative approach of program evaluation through analyses of student learning logs, demographic data, and end-of-course evaluation surveys in an online K-12 supplemental program. The results support the development of a program evaluation model for decision making on teaching and learning at the K-12 level. A case study…