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National Forum on Education Statistics, 2021
"The Forum Guide to Strategies for Education Data Collection and Reporting (SEDCAR)" was created to provide timely and useful best practices for education agencies that are interested in designing and implementing a strategy for data collection and reporting, focusing on these as key elements of the larger data process. It builds upon…
Descriptors: Data Collection, Educational Research, Statistical Data, Data Analysis
Selfridge, Richard – SAGE Publications Ltd (UK), 2018
Data rules schools and ignorance is far from bliss. From assessment results to questioning educational claims, there is a growing need to understand the numbers used in education. Education data blogger and teacher Richard Selfridge (aka Jack Marwood) unravels the complexities of dealing with educational data and explains statistics in an…
Descriptors: Evaluation, Data Analysis, Numbers, Graphs
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Ubilla, Francisca M.; Gorgorió, Núria – Teaching Statistics: An International Journal for Teachers, 2021
Statistical data is used in the media and on online platforms, often with an interpretation that serves some commercial or political purpose. Primary preservice teachers must be able to understand statistical data and analyze it critically. Only in this way will they be able to contribute as future teachers to the development of a critical spirit…
Descriptors: Statistical Data, Preservice Teachers, Elementary School Teachers, Data Analysis
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Kulp, Christopher W.; Sprechini, Gene D. – Teaching Statistics: An International Journal for Teachers, 2016
A classroom activity is presented, which can be used in teaching students statistics with an easily generated, large, real world data set. The activity consists of analyzing a video recording of an object. The colour data of the recorded object can then be used as a data set to explore variation in the data using graphs including histograms,…
Descriptors: Statistics, Class Activities, Statistical Data, Video Technology
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Daniel, Ben – British Journal of Educational Technology, 2015
Institutions of higher education are operating in an increasingly complex and competitive environment. This paper identifies contemporary challenges facing institutions of higher education worldwide and explores the potential of Big Data in addressing these challenges. The paper then outlines a number of opportunities and challenges associated…
Descriptors: Higher Education, Statistical Data, Data Analysis, Program Implementation
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Lonn, Steven; McKay, Timothy A.; Teasley, Stephanie D. – New Directions for Higher Education, 2017
This chapter details the process the University of Michigan developed to build institutional capacity for learning analytics. A symposium series, faculty task force, fellows program, research grants, and other initiatives are discussed, with lessons learned for future efforts and how other institutions might adapt such efforts to spur cultural…
Descriptors: Institutional Characteristics, Statistical Data, Data Analysis, Capacity Building
American Institutes for Research, 2014
This tool and its supporting resources are intended to help education leaders understand and assess equitable access data to support a root-cause analysis and, ultimately, draft a State Plan to Ensure Equitable Access to Excellent Educators. The activities in this tool introduce metrics, address staff capacity for analyzing equitable access data,…
Descriptors: Data, Access to Information, State Policy, Guidelines
Snow, Erica L. – International Educational Data Mining Society, 2015
Intelligent tutoring systems are adaptive learning environments designed to support individualized instruction. The adaptation embedded within these systems is often guided by user models that represent one or more aspects of students' domain knowledge, actions, or performance. The proposed project focuses on the development and testing of user…
Descriptors: Intelligent Tutoring Systems, Models, Individualized Instruction, Needs Assessment
Mellody, Maureen – National Academies Press, 2014
As the availability of high-throughput data-collection technologies, such as information-sensing mobile devices, remote sensing, internet log records, and wireless sensor networks has grown, science, engineering, and business have rapidly transitioned from striving to develop information from scant data to a situation in which the challenge is now…
Descriptors: Workshops, Training, Competence, Data Collection
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Duncan, Bruce; Fitzallen, Noleine – Australian Mathematics Teacher, 2013
The learning sequence described in this article was developed to provide students with a demonstration of the development of box plots from authentic data as an illustration of the advantages gained from using multiple forms of data representation. The sequence follows an authentic process that starts with a problem to which data representations…
Descriptors: Data Analysis, Data, Teaching Methods, Comparative Analysis
Diverse: Issues in Higher Education, 2012
Each year, "Diverse: Issues In Higher Education" publishes lists of the Top 100 producers of associate, bachelor's, and graduate degrees awarded to minority students based on research conducted by Dr. Victor M. H. Borden, professor of educational leadership and policy studies at Indiana University Bloomington. This article presents a…
Descriptors: Academic Degrees, Minority Group Students, Journalism, Journalism Education
Borden, Victor M. H. – Diverse: Issues in Higher Education, 2012
This article presents the Top 100 institutions that conferred the most bachelor's degrees to students of color in academic year 2010-2011. The data for this analysis are collected from all U.S. postsecondary institutions through the completions survey of the Integrated Postsecondary Education Data System (IPEDS) maintained by the National Center…
Descriptors: Higher Education, Minority Groups, Bachelors Degrees, Institutional Characteristics
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Ingels, Steven J.; Pratt, Daniel J.; Herget, Deborah R.; Dever, Jill A.; Fritch, Laura Burns; Ottem, Randolph; Rogers, James E.; Kitmitto, Sami; Leinwand, Steve – National Center for Education Statistics, 2013
This manual has been produced to familiarize data users with the design, and the procedures followed for data collection and processing, in the base year and first follow-up of the High School Longitudinal Study of 2009 (HSLS:09), with emphasis on the first follow-up. It also provides the necessary documentation for use of the public-use data…
Descriptors: High School Students, Longitudinal Studies, Annual Reports, Followup Studies
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Ingels, Steven J.; Pratt, Daniel J.; Herget, Deborah R.; Dever, Jill A.; Fritch, Laura Burns; Ottem, Randolph; Rogers, James E.; Kitmitto, Sami; Leinwand, Steve – National Center for Education Statistics, 2013
The manual that accompanies these appendices was produced to familiarize data users with the design, and the procedures followed for data collection and processing, in the base year and first follow-up of the High School Longitudinal Study of 2009 (HSLS:09), with emphasis on the first follow-up. It also provides the necessary documentation for use…
Descriptors: High School Students, Longitudinal Studies, Annual Reports, Followup Studies
Bill & Melinda Gates Foundation, 2010
This paper serves as a supplement to the "This School Works for Me: Creating Choices to Boost Achievement. A Guide for Data Analysts" report. This paper contains the following sections: (1) Initial Steps; (2) Developing Baseline District Facts; (3) Identifying Effective Options; (4) Identifying Effective Options: Preventative; and (5) Identifying…
Descriptors: Administrator Guides, Change Strategies, Educational Change, Data Analysis
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