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Bowsher, Amanda; Sparks, Dinah; Hoyer, Kathleen Mulvaney – National Center for Education Statistics, 2018
This Statistics in Brief adds to existing research on early-career teachers by presenting findings on their preparation and supports from data from the 2011-12 Schools and Staffing Survey (SASS). This brief, like past research, investigates several specific areas of preparation and types of support. For the purposes of this brief, early-career…
Descriptors: Beginning Teachers, Public School Teachers, Elementary Secondary Education, National Surveys
Datnow, Amanda; Park, Vicki; Kennedy-Lewis, Brianna – Journal of Education for Students Placed at Risk, 2012
The expectation that teachers will use student achievement data to improve their instruction is a major feature of national and local reform agendas. The theory of action behind data-driven decision making is a mostly causal model of professional action, whereby teachers diagnose weaknesses and implement solutions. The purpose of this article is…
Descriptors: Causal Models, Educational Change, Data, Secondary School Teachers
Knapp, Michael S.; Feldman, Susan; Yeh, Theresa Ling – Journal of School Leadership, 2013
This article traces how the work of instructional leadership in the urban high school embodies a response to particular pressures in the school's environment. Based on evidence from multiple-case study research in four urban districts, the article demonstrates how supervisory and nonsupervisory leaders fashioned responses to the district (and…
Descriptors: Urban Schools, High Schools, Instructional Leadership, Educational Environment
Kronholz, June – Education Next, 2012
Data-driven instruction began its spread across the country about a decade ago, in the footsteps of the No Child Left Behind requirement that schools administer yearly achievement tests. Those tests didn't help teachers spot and backfill learning gaps, though. Scores came back after everyone had moved on to the next grade, and anyway, the tests…
Descriptors: Academic Achievement, Charter Schools, Test Results, Data
Dougherty Stahl, Katherine A.; Keane, Annette E.; Simic, Ognjen – Urban Education, 2013
This mixed methods study explores the pilot implementation of a Response to Intervention framework in the first grade classrooms in three urban schools. Two schools in a fully implemented condition (FI) with a facilitator and a partially implemented condition (PI) without a facilitator were investigated using student achievement data, field notes,…
Descriptors: Academic Achievement, Teaching Methods, Questionnaires, Response to Intervention
Armstrong, Lisa M. – ProQuest LLC, 2012
This qualitative case study examined research exploring the role of a principal monitoring instruction during the implementation of a Readers Workshop model. The purpose of this study was to examine the role of an elementary school principal during the implementation of a Readers Workshop model and determine whether there was an affect on teaching…
Descriptors: Reading Instruction, Workshops, Principals, Administrator Role
Frank, Stephen – Education Resource Strategies, 2010
There is no disputing that for high school students to be college and career ready, they need adequate time to learn, and individualized attention to meet each student's academic goals, learning styles, and social needs. Over the past decade, Education Resource Strategies (ERS) has partnered with urban schools and districts to improve their use of…
Descriptors: Academic Achievement, Graduation Requirements, School Schedules, General Education
Root, Lonny Gene – ProQuest LLC, 2010
With the passage of the No Child Left Behind (NCLB) Act of 2002, schools, districts, and therefore, superintendents have been held increasingly accountable for the achievement of the students. The states and federal governments have used student achievement data to measure the progress and success of schools and districts and have held districts…
Descriptors: Urban Schools, Federal Legislation, Academic Achievement, Decision Making
Hammerman, James K.; Rubin, Andee – Statistics Education Research Journal, 2004
New software tools for data analysis provide rich opportunities for representing and understanding data. However, little research has been done on how learners use these tools to think about data, nor how that affects teaching. This paper describes several ways that learners use new software tools to deal with variability in analyzing data,…
Descriptors: Computer Software, Data Analysis, Grade 6, Middle School Teachers