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Data Quality Campaign, 2022
Each year, state legislators craft new policies that drive data use across their states, and as part of a comprehensive review of state education data legislation, the Data Quality Campaign (DQC) keeps track. In 2022, state legislators introduced 131 bills in 35 states--42 of which became law in 17 states-- that would govern the use of data along…
Descriptors: Privacy, State Legislation, Student Records, Confidentiality
Mathies, Charles – New Directions for Institutional Research, 2018
Evidence-based decision-making requires access to good and reliable data. In recent years, there has been a tremendous increase of data available to institutions, from internal as well as external sources. With this increase in data and its analytics, new challenges and questions arise. One of the most pertinent of which is the ethics and best…
Descriptors: Ethics, Information Utilization, Data, Access to Information
Borgmeier, Chris; Loman, Sheldon L.; Strickland-Cohen, M. Kathleen – Beyond Behavior, 2017
Students with persistent challenging behavior are present in nearly every classroom. Teachers need the knowledge and skills to understand student behavior and intervene effectively. This article presents a framework to guide teachers in understanding student behavior and feasible tools for collecting data about the function of student behavior.…
Descriptors: Student Behavior, Behavior Problems, Functional Behavioral Assessment, Data Collection
Day, Annette – New Review of Academic Librarianship, 2018
This article describes a project undertaken as part of a cross-campus strategic planning effort. The project documented current campus practices and systems in use for collecting, analyzing and reporting key research metrics. The project identified organizational issues around siloed data collection and lack of clarity on data stewards, data…
Descriptors: Strategic Planning, Data Collection, Data Analysis, College Libraries
Foundation for Excellence in Education (ExcelinEd), 2017
The effective use of student data is essential for improving student outcomes and equipping educators with the information they need to help every student remain on a path to educational success. Student data can help teachers personalize and customize instruction, equip parents and students with information to make informed educational choices,…
Descriptors: Student Records, Privacy, Information Security, Information Utilization
Muhammad, Robert; McManus, Kristen – Strategic Enrollment Management Quarterly, 2018
If universities want to survive into the century while maintaining relevancy to the business world and the global market, they must utilize innovative methods that engage students from the time of admission through graduation. Successful engagement equates to economic growth and positive branding. Students who are 'invested' and feel that the…
Descriptors: Enrollment Management, Learning Analytics, Data Collection, Evidence Based Practice
Sirinides, Philip; Coffey, Missy – State Education Standard, 2018
Americans share an expectation that government will serve the common good, creating inescapable pressure for public agencies--especially those that serve young children--to perform well. Yet education and human services agencies continually struggle to respond to the complex conditions in which children are born. How can they address the practical…
Descriptors: Early Childhood Education, Evidence Based Practice, Decision Making, Educational Policy
Pak, Katie; Desimone, Laura M. – Phi Delta Kappan, 2019
Under both No Child Left Behind and the Every Student Succeeds Act, school leaders have been mandated to employ data-driven decision-making (DDDM) to diagnose student needs, implement targeted supports, and design school improvements. However, district administrators tasked with developing principals' DDDM capacity face a tough road. The authors…
Descriptors: Principals, Decision Making, Capacity Building, Evidence Based Practice
Makela, Carole J. – Journal of Family and Consumer Sciences, 2016
"Big data" prompts a whole lexicon of terms--data flow; analytics; data mining; data science; smart you name it (cars, houses, cities, wearables, etc.); algorithms; learning analytics; predictive analytics; data aggregation; data dashboards; digital tracks; and big data brokers. New terms are being coined frequently. Are we paying…
Descriptors: Data Analysis, Information Utilization, Data Collection, Consumer Science
National Forum on Education Statistics, 2018
The Forum Guide to Reporting Civil Rights Data presents a variety of effective methods through which local education agencies (LEAs) report civil rights data to the U.S. Department of Education's Office for Civil Rights. In addition, the guide provides examples of how state education agencies can voluntarily help their LEAs with Civil Rights Data…
Descriptors: Civil Rights, Student Rights, Data, Information Utilization
Zimmerman, Julie N.; Kahl, Daniel – Journal of Extension, 2018
Although there have been calls for many years for Extension professionals to use secondary data in their work, finding appropriate data online can still be a challenge. With the multitude of data sources available online, it can be helpful to use the concept of developing a community portrait as the context for becoming proficient at locating…
Descriptors: Extension Education, Educational Planning, Information Seeking, Information Utilization
Mauzy, Denise; Bull, Bruce; Gould, Tate – Center for IDEA Early Childhood Data Systems (DaSy), 2016
Since the initial authorizing legislation for Part C of the Individuals with Disabilities Education Act (IDEA) in 1986, the scope and complexity of data collected by Part C programs have significantly increased. Formal governance establishes responsibility for Part C data and enables program staff to improve the effectiveness of data processes and…
Descriptors: Disabilities, Educational Legislation, Federal Legislation, Equal Education
Center on Standards and Assessments Implementation, 2018
The recommendations in this brief create a framework for using data effectively to make instructional decisions. The availability of student-level data for educators has pushed forward the movement to strengthen the role of data to guide instruction and improve student learning. While improvements in technology and assessments, as well as recent…
Descriptors: Student Evaluation, Information Utilization, Data Collection, Data Analysis
Privacy Technical Assistance Center, 2016
In February 2014, the Privacy Technical Assistance Center (PTAC) issued guidance titled "Protecting Student Privacy While Using Online Educational Services: Requirements and Best Practices." This Model Terms of Service document is intended to further assist schools and school districts in implementing that guidance. In a traditional…
Descriptors: Privacy, Student Records, Contracts, Educational Legislation
NWEA, 2017
Northwestern New Mexico is widely known as the Four Corners region, and for locals, it is also known as the Checkerboard area--a patchwork of sections owned by the federal government, private citizens, and the Navajo reservation. Oil and gas fields are spread out along the arid mesas, but below is fertile farmland, irrigated by the San Juan River.…
Descriptors: Information Utilization, Data Collection, School Turnaround, Community Schools