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Boninger, Faith; Molnar, Alex – Phi Delta Kappan, 2022
The Along digital SEL product marketed to teachers by Gradient Learning and the Chan Zuckerberg Initiative (CZI) promises to help teachers establish strong relationships with their students via an exchange of personal reflections. In so doing, it collects intimate personal information from students about their lives. Faith Boninger and Alex Molnar…
Descriptors: Data Collection, Social Emotional Learning, Technology Uses in Education, Privacy
Conaway, Carrie – Phi Delta Kappan, 2021
State education agencies play critically important roles in promoting research use in education. They influence policy design and implementation, collect data about schools and districts, and can use their statewide reach to advance research use within the state agency and in districts. As Carrie Conaway explains, the states that have done the…
Descriptors: Educational Research, Theory Practice Relationship, State Departments of Education, Research Utilization
Hollands, Fiona; Kushner, Anna – Phi Delta Kappan, 2021
Making evidence-based decisions in schools seems like an impossible task when hundreds of activities are available, the evidence base fails to address most of them, and budget deadlines are immovable. In addition, different stakeholders hold different views on what it means for a program, strategy, or intervention to "work." Fiona…
Descriptors: Evidence Based Practice, Decision Making, Cost Effectiveness, Program Implementation
Goldhaber, Dan; Holden, Kristian L. – Phi Delta Kappan, 2021
Understanding the early teacher pipeline, how many and what types of individuals are pursuing a teaching credential, is critically important. Unfortunately, as Dan Goldhaber and Kris Holden explain, the two national data collections that can be used to explore these areas provide incomplete and sometimes contrasting pictures about the number of…
Descriptors: Career Choice, Teaching (Occupation), Data Collection, Teacher Education Programs
Temkin, Deborah; Thompson, Joy A.; Gabriel, Alex; Fulks, Emily; Sun, Sarah; Rodriguez, Yosmary – Phi Delta Kappan, 2021
As states consider non-academic measures of school quality for their accountability plans under the Every Student Succeeds Act, few are choosing to focus on the school climate in which students learn. That's not a surprise, given concerns about the validity and usefulness of existing climate surveys. However, the authors argue, a recent study…
Descriptors: Educational Environment, Data Collection, Evaluation Methods, Elementary Secondary Education
Brighouse, Harry; Ladd, Helen; Loeb, Susanna; Swift, Adam – Phi Delta Kappan, 2019
In this article, based on their book Educational Goods: Values, Evidence and Decision Making, Harry Brighouse, Helen Ladd, Susanna Loeb, and Adam Swift encourage education decision makers to give careful thought to the values that underlie the data they collect and use to inform policy. Rather than basing decisions entirely on what improves…
Descriptors: Educational Policy, Policy Formation, Evidence Based Practice, Decision Making
Wasta, Michael J. – Phi Delta Kappan, 2017
Research on educators' professional learning communities (PLCs) suggest that while they often help teachers to make sense of student performance data, they tend to spend relatively little time studying what teachers actually do in the classroom. Evidence suggests that, given modest amounts of guidance and support, PLCs can collect useful data on…
Descriptors: Communities of Practice, Educational Practices, Classroom Research, Classroom Environment
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
Schneider, Jack; Jacobsen, Rebecca; White, Rachel; Gehlbach, Hunter – Phi Delta Kappan, 2017
When it comes to measuring the quality of a school, policy leaders tend to embrace standardized tests as the go-to indicator, whereas parents and community members tend to rely on reputation, word-of-mouth, and what they perceive with their own eyes. The authors suggest a better approach: a new framework that looks at three categories of inputs…
Descriptors: Educational Quality, Measurement Techniques, Educational Environment, School Culture
Phi Delta Kappan, 2015
Who uses student data? is an infographic created by the Data Quality Campaign. (Used with permission) It answers important privacy-related questions about who collects, uses, and distributes student data. Most personal student information stays local. Districts, states, and the federal government all collect data about students for important…
Descriptors: Data, Information Utilization, Privacy, Students
Chang, Hedy N.; Russell-Tucker, Charlene M.; Sullivan, Kari – Phi Delta Kappan, 2016
When troubling attendance data in New Britain, Conn., caught district leaders by surprise, they reconsidered their focus on truancy in the older grades and turned their attention on their elementary schools. With support from local philanthropy and assistance from Attendance Works, the district significantly reduced the incidence of chronic…
Descriptors: Attendance Patterns, Elementary School Students, School Districts, State Government
Parsons, Seth A.; Nuland, Leila Richey; Parsons, Allison Ward – Phi Delta Kappan, 2014
Student engagement is an important consideration for teachers and administrators because it is explicitly associated with achievement. What the authors call the ABC's of engagement they outline as: Affective engagement, Behavioral engagement, and Cognitive engagement. They also present "Three Things Every Teacher Needs to Know about…
Descriptors: Student Participation, Learner Engagement, Affective Behavior, Behavioral Objectives
Heritage, Margaret; Chen, Evan – Phi Delta Kappan, 2005
Without using data to inform their actions at every step of the way, teachers and administrators will probably not reach their goals for school improvement. In this article, the authors describe a CRESST initiative that helps educators develop the skills to collect, analyze, and be guided by data. Five steps to effective date use are described in…
Descriptors: Academic Achievement, Educational Improvement, Data Collection, Data Analysis
Barber, Larry W.; McClellan, Mary C. – Phi Delta Kappan, 1987
Policymakers at state and district levels disagree on definitions for terms such as "dropout,""withdrawn,""removed," and "early leaver." Until these terms acquire generally accepted meanings allowing comparisons across school district and state lines, existing information processing technology will be only marginally beneficial. Includes three…
Descriptors: Data Collection, Definitions, Dropout Characteristics, Dropouts
Goodlad, John I.; And Others – Phi Delta Kappan, 1979
Details the kinds of data and data sources used in "A Study of Schooling," the limitations of these data, examples of research questions explored, and the intentions of the researchers during analysis and interpretation of the data. (Author/IRT)
Descriptors: Data Collection, Educational Research, Elementary Secondary Education, Objectives
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