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Bocala, Candice; Boudett, Kathryn Parker – Educational Leadership, 2022
Collaborative data inquiry can help schools serve their students better and improve student outcomes--but only if equity is prioritized. Researchers from Harvard's Data Wise Project discuss the importance of using an equity lens when engaging in collaborative data inquiry and what this can mean in terms of disrupting system inequities.
Descriptors: Data Use, Data Analysis, Inquiry, Equal Education
Louie, Josephine; Fagan, Emily; Stiles, Jennifer; Roy, Soma; Chance, Beth – Educational Leadership, 2023
Students need "critical data literacy" skills to help make sense of the multitude of information available to them, especially as it relates to high-stakes issues of social justice. The authors describe two curriculum modules they developed--one on income equality, one on immigration--that help students learn to analyze data in order to…
Descriptors: Social Justice, Data, Multiple Literacies, Critical Theory
Shah, Niral; Ortiz, Nickolaus; Christensen, Julie; Stroupe, David; Reinholz, Daniel – Educational Leadership, 2021
A crucial site of bias in classrooms is class discussions. A new free web-based tool developed by university researchers can help teachers actively monitor how their biases are affecting students in real-time.
Descriptors: Equal Education, Student Participation, Inclusion, Racial Bias
Attai, Linnette – Educational Leadership, 2019
With the growth of tech-driven instructional possibilities, school systems have an increasingly urgent responsibility for schools to continuously assess and improve student data-protection practices. Attai, a project director for the Consortium for School Networking, outlines a program designed to help education leaders master the fundamentals of…
Descriptors: Privacy, Information Security, Administrator Responsibility, Data Collection
Datnow, Amanda; Park, Vicki – Educational Leadership, 2015
School leaders are often drowning in data but are unsure which forms of data will help them create a portrait of student achievement that will motivate staff to look beyond simple trends and delve deeper into root causes. Teachers often wish for more guidance on the kinds of data analysis and teaching strategies that will help them move the needle…
Descriptors: Evaluation Utilization, Data, Data Analysis, Data Interpretation
Fisher, Doug; Frey, Nancy – Educational Leadership, 2015
Schools are awash in data, and teachers are being asked to gather data in a myriad of high-tech and low-tech ways. But gathering is not analyzing, and without analysis there is little reason to gather the data in the first place. Teachers need data-collection systems that lend themselves to rapid analysis and action. This article presents several…
Descriptors: Data Collection, Data Analysis, Formative Evaluation, Video Technology
Lockwood, Meghan – Educational Leadership, 2018
Teacher-led inquiry cycles--in which small groups of teachers study and address a promise--hold promise as a method of professional development, but only if they receive enough support. In particular, they need access to outside expertise that can help them meaningfully change instructional practices--often a difficult step for teachers working on…
Descriptors: Teacher Collaboration, Partnerships in Education, Teamwork, Faculty Development
Tucker, Catlin – Educational Leadership, 2015
Technology makes it easier than ever for educators to generate meaningful, ongoing data to inform their teaching, track student progress, and personalize learning. When the author began to explore how she could use technology to quickly assess student skills, data became exciting and took on a new role in her teaching practice. Now she uses data…
Descriptors: Data Collection, Student Motivation, Data, Evidence Based Practice
Scherer, Marge – Educational Leadership, 2015
This article shares what "Educational Leadership" authors have to say about doing data right, which is the theme of this issue. The following questions are addressed in this article: (1) Are you using data to guide improvement?; (2) Are you looking at the right kinds of data?; (3) Are you using data to motivate students?; and (4) Are you…
Descriptors: Data, Information Utilization, Educational Improvement, Student Motivation
Horn, Michael B.; Fisher, Julia Freeland – Educational Leadership, 2017
The Clayton Christiansen Institute maintains a database of more than 400 schools across the United States that have implemented some form of blended learning, which combines online learning with brick-and-mortar classrooms. Data the Institute has collected over the past six months suggests three trends as this model continues to evolve and mature.…
Descriptors: Blended Learning, Data Collection, Educational Trends, Individualized Instruction
Krachman, Sara Bartolino; LaRocca, Robert; Gabrieli, Christopher – Educational Leadership, 2018
In addition to excelling in subjects such as science, math, arts, and social studies, students must also develop skills like resiliency, adaptability, and collaboration in order to truly succeed in the world. But how do schools effectively measure those skills when they so often rely on standardized assessments? This article provides a thorough…
Descriptors: Student Evaluation, Evaluation Methods, Social Development, Emotional Development
Grimm, Emily Dolci; Kaufman, Trent; Doty, Dave – Educational Leadership, 2014
If your professional learning seems stalled, maybe you could put yourself and your colleagues in the driver's seat of professional development. The authors describe a professional learning approach that gives teachers both a say in what they focus their learning on and a chance to practice and refine teaching strategies that they hope to…
Descriptors: Faculty Development, Peer Relationship, Coaching (Performance), Observation
Tomlinson, Carol Ann – Educational Leadership, 2015
This article describes a language arts teacher's two-tiered way of using assessment data, which uses both standardized assessment data and teacher-created "skills" inventories. Standardized test data may help see where a learner performed in a previous year on items that often do not line up too well with future content. Standardized…
Descriptors: Standardized Tests, Skill Analysis, Data Analysis, Progress Monitoring
Neuman, Susan B. – Educational Leadership, 2016
"Data-drive instruction can distort the way reading is taught, harming the students who need high-quality instruction the most," Susan B. Neuman concludes from her research team's two years of observation in nine low-income New York City schools. She describes how some students are reminded that they are "failures" every day by…
Descriptors: Data, Decision Making, Teaching Methods, Educational Theories
Weissbourd, Richard – Educational Leadership, 2018
Surveys show rates of sexual harassment and misogyny among students are high in U.S. secondary schools--yet most schools fail to deal with this problem. Many educators would like to intervene when they hear students use degrading or sexualized language about girls (or LGBTQ youth) or harass them, but don't know how to do so effectively. The…
Descriptors: Sexual Harassment, Gender Bias, Secondary Schools, Intervention

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