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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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Slez, Adam; O'Connell, Heather A.; Curtis, Katherine J. – Sociological Methods & Research, 2017
Areal data have been used to good effect in a wide range of sociological research. One of the most persistent problems associated with this type of data, however, is the need to combine data sets with incongruous boundaries. To help address this problem, we introduce a new method for identifying common geographies. We show that identifying common…
Descriptors: Data, Data Processing, Geographic Information Systems, Research Methodology
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Duesbery, Luke; Braun-Monegan, Jenelle; Liu, Kimy; McCoy, Jan – Journal of Visual Literacy, 2017
The quality of a data display can have an impact on the interpretation of those data. A survey of the literature indicates that data displays can vary in quality of accuracy, clarity, and efficacy. In this study we develop and apply an evaluative rubric to graphs in a sample of six education journals: three research and three practitioner. Results…
Descriptors: Data, Graphic Arts, Visual Aids, Data Interpretation
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Queiroz, Tamires; Monteiro, Carlos; Carvalho, Liliane; François, Karen – Statistics Education Research Journal, 2017
In recent years, research on teaching and learning of statistics emphasized that the interpretation of data is a complex process that involves cognitive and technical aspects. However, it is a human activity that involves also contextual and affective aspects. This view is in line with research on affectivity and cognition. While the affective…
Descriptors: Data Interpretation, Affective Behavior, College Seniors, Student Research
Nelson, R.; Kelley, G.; Hebbeler, K.; Vinh, M.; Gillaspy, K.; Barton, L.; Reid, J. K. – Center for IDEA Early Childhood Data Systems (DaSy), 2017
The Local Child Outcomes Measurement System (L-COMS) is a framework that identifies seven key components of a high-quality child outcomes measurement system at the local level. The L-COMS framework was designed to apply to all local programs regardless of their specific child outcomes measurement approach. Development of the L-COMS originated with…
Descriptors: Early Childhood Education, Outcomes of Education, Measurement Techniques, Data Collection
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Henry, Susan F.; Mello, Dan; Avery, Maria-Paz; Parker, Caroline; Stafford, Erin – Regional Educational Laboratory Northeast & Islands, 2017
Most state departments of education across the United States recommend or require that districts use a home language survey as the first step in a multistep process of identifying students who qualify for English learner student services. School districts typically administer the home language survey to parents and guardians during a student's…
Descriptors: Native Language, Surveys, English Language Learners, Identification
Davies, Sarah; Mullan, Joel; Feldman, Paul – Higher Education Policy Institute, 2017
Learning and teaching practices within higher education have changed surprisingly little over the last 20 years. Other sectors, such as banking, music and publishing, have been turned upside down by digital technology, but the UK's research and education sector has yet to fully exploit the potential of new technologies. Pockets of innovation are…
Descriptors: Educational Technology, Technology Uses in Education, Higher Education, Foreign Countries
Roza, Marguerite – Edunomics Lab, 2017
The expectation in this country is that all students should be able to succeed in school. Yet new data and accountability agendas have heightened attention to performance disparities between students with different identifiable needs--needs that stem from poverty, disability, or limited English proficiency. Educators and policymakers know that…
Descriptors: Educational Finance, State Aid, Data Use, Data Analysis
Advance CTE: State Leaders Connecting Learning to Work, 2022
Early postsecondary opportunities (EPSOs) provide more than 5.5 million secondary learners annually an intentionally designed authentic postsecondary experience (such as dual or concurrent enrollment) leading to college credit that counts toward a recognized postsecondary degree or credential. Career Technical Education (CTE) courses make up…
Descriptors: Vocational Education, Postsecondary Education, Secondary School Students, Dual Enrollment
Delisle, Jason D., Ed. – American Enterprise Institute, 2022
A long overdue, much needed transformation is underway in the higher education system. It started a decade ago, when federal and state policy­makers first began to collect data on what students earn after pursuing a postsecondary education. But new data are fundamentally differ­ent. Unlike broad-based national statistics, such as how much someone…
Descriptors: Higher Education, Educational Policy, Outcomes of Education, Income
Lee Collyer – Washington Office of Superintendent of Public Instruction, 2022
The 2022 Legislature directed the Office of Superintendent of Public Instruction (OSPI) to create an advisory workgroup with specific participants to report back on topics related to student isolation and seclusion. This legislative report provides a background on the workgroup, history of isolation and restraint, current practices in the state of…
Descriptors: Discipline, Punishment, Behavior Modification, Timeout
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Shah, Hazel J.; Lai, Betty S.; Leroux, Audrey J.; La Greca, Annette M.; Colgan, Courtney A.; Medzhitova, Julia – Child & Youth Care Forum, 2019
Background: As access to open data is increasing, researchers gain the opportunity to build integrated datasets and to conduct more powerful statistical analyses. However, using open access data presents challenges for researchers in understanding the data. Visuals allow researchers to address these challenges by facilitating a greater…
Descriptors: Natural Disasters, Children, Responses, Access to Information
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Windeyer, Richard C. – Research in Drama Education, 2019
As information literacy and data-driven program evaluations have become growing obsessions within academic institutions, how might liberal arts and humanities programmes engage students in both critical and creative explorations of contemporary human-data relations? Inspired by the variety of metaphors that currently shape human-data relations and…
Descriptors: Information Literacy, Theater Arts, Liberal Arts, Humanities
Flanagan, Agnes; Cormier, Damien C. – Communique, 2019
One of the areas subsumed under the data-based decision making and accountability practice identified in the National Association of School Psychologists' (NASP) "Model for Integrated School Psychological Services" is to collect information on psychological and educational variables to make decisions at a number of levels of service…
Descriptors: Test Bias, School Psychologists, Measurement, Data Collection
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Alexandron, Giora; Yoo, Lisa Y.; Ruipérez-Valiente, José A.; Lee, Sunbok; Pritchard, David E. – International Journal of Artificial Intelligence in Education, 2019
The rich data that Massive Open Online Courses (MOOCs) platforms collect on the behavior of millions of users provide a unique opportunity to study human learning and to develop data-driven methods that can address the needs of individual learners. This type of research falls into the emerging field of "learning analytics." However,…
Descriptors: Online Courses, Data Collection, Learning Analytics, Reliability
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