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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
Roegman, Rachel; Samarapungavan, Ala; Maeda, Yukiko; Johns, Gary – Educational Leadership, 2019
The "Every Student Succeeds Act" requires that student's test scores be disaggregated by racial characteristics. Nevertheless, the author's recent study suggests that K-12 school principals may not intentionally think about race when they collect, interpret, analyze, and make decisions about data. By not disaggregating data by race,…
Descriptors: Elementary Secondary Education, Race, Data Collection, Data Analysis
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
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
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
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
Dill, Vicky; Lopez, Patrick; Stahlke, Tim; Stamp, Jeanne – Educational Leadership, 2016
We know that students cannot learn if they are not in school, and that students with economic challenges miss school more frequently than other students. What obstacles create this attendance gap, and how can school districts provide the supports to improve attendance for these students? The authors of this article, who work with the Texas…
Descriptors: Attendance, School Districts, Homeless People, Poverty
Popham, W. James – Educational Leadership, 2009
Despite repeated calls for educators to get more instructional mileage out of the assessment data they have at hand, two deterrents typically stand in the way of most educators' effective use of test data. First, there's a missing "realization", and second, there's a missing "skill". Educators who possess both this realization and this skill will…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Student Evaluation
Haycock, Kati; Crawford, Candace – Educational Leadership, 2008
Schools and districts rarely have a fair distribution of teacher talent. Poor children and black children are less likely to be taught by the strongest teachers and more likely to be taught by the weakest. Several districts have implemented programs to reduce the teacher quality gap. Hamilton County, Tennessee, launched an initiative that included…
Descriptors: African American Students, Equal Education, Teacher Effectiveness, Physicians

Cole, Richard A.; Williams, David M. – Educational Leadership, 1973
The purpose of this paper is to attempt to operationalize a number of Gall's criteria in order to measure whether there is any empirical relationship between these criteria and the level of teacher questions. (Author)
Descriptors: Correlation, Data Analysis, Data Collection, Questioning Techniques

Bernhardt, Victoria L. – Educational Leadership, 2003
A primer for schools attempting to analyze the data they collect. Describes ways schools can get a better picture of how to improve learning by gathering, intersecting, and organizing four categories of data more efficiently: (1) demographic data; (2) student-learning data; (3) perceptions data; and (4) school-processes data. (WFA)
Descriptors: Data Analysis, Data Collection, Data Interpretation, Data Processing

Parsons, Beverly A. – Educational Leadership, 2003
Discusses how connecting instruction, professional development, and student learning can make the difference between successful and unsuccessful data use. Uses a case-study approach to show that by acknowledging that implementation occurs over time, schools can safeguard against discarding new instructional practices prematurely. (Contains one…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation