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Sarah Klevan; Melanie Leung-Gagné; Tomoko M. Nakajima – Learning Policy Institute, 2024
Across the United States, there is an increased interest in improving school climate, reflecting a deepening understanding of the foundational role that school climate can play in supporting students' well-being, learning, and development. School climate is constructed from norms, expectations, and interpersonal relationships that come together to…
Descriptors: Educational Environment, Middle Schools, School Districts, Data Use
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Lewis, Kendra M.; Ewers, Timothy; Bird, Marianne; Wilkins, Tamekia – Journal of Extension, 2019
A data party is an engaging way to involve stakeholders in program evaluation. We explain the use of a data party for engaging 4-H program stakeholders (e.g., staff and volunteers) in data interpretation and helping them understand, embrace, and use program evaluation information to make data-driven decisions about their programs. We present two…
Descriptors: Program Evaluation, Stakeholders, Data Interpretation, Data Use
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Bui, Ngoc H. – Journal of College Reading and Learning, 2017
Studies on reading literacy have yet to connect how students perceive the importance of different literacy areas to their ability perception in those areas. This article analyzes students' importance ranking of four different areas of literacy: prose (comprehending written information), document (interpreting information in forms, schedules,…
Descriptors: Undergraduate Students, Self Efficacy, Reading Attitudes, Prose
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Eastham, Susan L. – Physical Educator, 2018
The purpose of this study was to examine physical education teachers' physical fitness test administration practices, specifically how physical education teachers helped their students to develop a cognitive understanding of the health-related physical fitness components before and after test administration. Ten middle school and high school…
Descriptors: Physical Fitness, Testing, Cognitive Ability, Physical Education Teachers
von Zastrow, Claus; Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…
Descriptors: Data Analysis, Student Characteristics, Data Collection, Barriers
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Rankin, Jenny Grant – Universal Journal of Educational Research, 2016
Most data-informed decision-making in education is undermined by flawed interpretations. Educator-driven interventions to improve data use are beneficial but not omnipotent, as data misunderstandings persist at schools and school districts commended for ideal data use support. Meanwhile, most data systems and reports display figures without…
Descriptors: Evidence Based Practice, Data Interpretation, Information Utilization, Standards
Lee, Patrick; Reed, Sherrie; Hernandez, Ambar; Kurlaender, Michal – Policy Analysis for California Education, PACE, 2018
This Intersegmental Data Partnerships Resource Guide, and the accompanying PACE policy brief (see ED591080), are products of a year-long qualitative research project exploring promising practices in data sharing and data use among intersegmental partnerships throughout California. This Resource Guide provides institutions engaged in intersegmental…
Descriptors: Partnerships in Education, Guides, Guidelines, Data Analysis
Rankin, Jenny Grant – ProQuest LLC, 2013
There is extensive research on the benefits of making data-informed decisions, but research also contains evidence many educators incorrectly interpret student data. Meanwhile, the types of detailed labeling on over-the-counter medication have been shown to improve use of "non"-medication products, as well. However, data systems most…
Descriptors: Data, Data Analysis, Accuracy, Decision Making
Rankin, Jenny Grant – Online Submission, 2013
There is extensive research on the benefits of making data-informed decisions to improve learning, but these benefits rely on the data being effectively interpreted. Despite educators' above-average intellect and education levels, there is evidence many educators routinely misinterpret student data. Data analysis problems persist even at districts…
Descriptors: Statistical Data, Data Interpretation, Data Analysis, Error of Measurement
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Scales, Barbara; Perry, Jane; Tracy, Rebecca – Early Education and Development, 2012
Research Findings: Three former teaching colleagues at the University of California's Harold E. Jones Child Study Center discuss an interpretative approach to child observation and assessment and how this approach was developed (1970s-2005) within this lab school's early childhood education setting. With teaching practice shaped and driven by a…
Descriptors: Early Childhood Education, Play, Classroom Research, Interaction
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Hagedorn, Linda Serra; Cabrera, Alberto; Prather, George – Journal of College Student Retention: Research, Theory & Practice, 2011
Using a newly developed software application entitled "The Community College Transfer Calculator"[C], this article both quantifies the effect of specific course-taking patterns and stresses the need for an easy to understand tool for community college academic advisors, faculty, and students. The "Calculator" calculates the…
Descriptors: Community Colleges, Course Selection (Students), College Transfer Students, Computer Software
Chingos, Matthew M. – Brookings Institution, 2013
College completion rates in the U.S. are stubbornly low despite the large and rising returns to a college degree. Efforts to increase student success in college have largely ignored a potentially key factor: the instruction that students receive in the sequence of courses that add up to a college education. Improving the quality of instruction may…
Descriptors: Academic Achievement, Algebra, Exit Examinations, Comparative Testing
Rankin, Jenny Grant – Online Submission, 2013
There is extensive research on the benefits of making data-informed decisions, but research also contains evidence many educators incorrectly interpret student data. Meanwhile, the types of detailed labeling on over-the-counter medication have been shown to improve use of non-medication products, as well. However, data systems most educators use…
Descriptors: Data, Decision Making, Accuracy, Statistical Analysis
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Brownell, Sara E.; Hekmat-Scafe, Daria S.; Singla, Veena; Seawell, Patricia Chandler; Imam, Jamie F. Conklin; Eddy, Sarah L.; Stearns, Tim; Cyert, Martha S. – CBE - Life Sciences Education, 2015
We present an innovative course-based undergraduate research experience curriculum focused on the characterization of single point mutations in p53, a tumor suppressor gene that is mutated in more than 50% of human cancers. This course is required of all introductory biology students, so all biology majors engage in a research project as part of…
Descriptors: Research Projects, Science Instruction, Science Education, College Science
Carey, Kevin – Education Sector, 2012
For years California has been a leader in public education. In 1999, the state implemented some of the strongest content standards in the country through its main accountability metric, the Academic Performance Index (API). The state has also signed onto the Common Core State Standards, taking important steps to ensure its students are college-…
Descriptors: State Standards, Standardized Tests, Academic Achievement, Educational Quality
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