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Stern, David; Stern, Roger; Parsons, Danny; Musyoka, James; Torgbor, Francis; Mbasu, Zach – Statistics Education Research Journal, 2020
The African Data Initiative started as a crowd-sourced campaign to improve the teaching of statistics in African universities. The analysis of climate data provides one suitable context to illustrate ideas that lead to a radical new form of teaching. The problem within the context comes first, the technicalities are largely reduced -- mathematics…
Descriptors: Foreign Countries, Data Collection, Data Analysis, Higher Education
National Forum on Education Statistics, 2018
The Forum Guide to Reporting Civil Rights Data presents a variety of effective methods through which local education agencies (LEAs) report civil rights data to the U.S. Department of Education's Office for Civil Rights. In addition, the guide provides examples of how state education agencies can voluntarily help their LEAs with Civil Rights Data…
Descriptors: Civil Rights, Student Rights, Data, Information Utilization
Akmon, Dharma R. – ProQuest LLC, 2014
This dissertation examines the role of conceptions of data's value in data practices. Based on a study of three small teams of scientists carrying out ecological research at a biological station, my study addresses the following main question: How do scientists conceive of the value of their data, and how do scientists enact conceptions of value…
Descriptors: Case Studies, Scientists, Interviews, Meta Analysis
Lawrence, K. S. – National Center on Schoolwide Inclusive School Reform: The SWIFT Center, 2016
The study summarized in this research to practice brief, "Creating data-driven instructional systems in school: The new instructional leadership," Halverson, R., Grigg, J., Pritchett, R., & Thomas, C. (2015), "Journal of School Leadership," 25. 447-481, investigated whether student outcome improvements were linked to the…
Descriptors: Teaching Methods, Instructional Leadership, Elementary Secondary Education, Data
Lee, Victor R.; Drake, Joel – Technology, Knowledge and Learning, 2013
The introduction of sensor technologies to sports has allowed athletes to quantify and track their performance, adding an information-based layer to athletic practices. This information layer is particularly prevalent in practices involving formal competition and high levels of physical endurance, such as biking and running. We interviewed 20…
Descriptors: Physical Activities, Data, Data Collection, Athletics
Frank, Emily P.; Pharo, Nils – College & Research Libraries, 2016
E-science has reshaped meteorology due to the rate data is generated, collected, analyzed, and stored and brought data skills to a new prominence. Data information literacy--the skills needed to understand, use, manage, share, work with, and produce data--reflects the confluence of data skills with information literacy competencies. This research…
Descriptors: Academic Libraries, Information Literacy, Case Studies, Meteorology
Atkinson, Linton – ProQuest LLC, 2015
This paper is a research dissertation based on a qualitative case study conducted on Teachers' Experiences within a Data-Driven Decision Making (DDDM) process. The study site was a Title I elementary school in a large school district in Central Florida. Background information is given in relation to the need for research that was conducted on the…
Descriptors: Teaching Experience, Data, Decision Making, Reading Achievement
Thille, Candace; Schneider, Emily; Kizilcec, René F.; Piech, Christopher; Halawa, Sherif A.; Greene, Daniel K. – Research & Practice in Assessment, 2014
The article addresses the question of how the assessment process with large-scale data derived from online learning environments will be different from the assessment process without it. Following an explanation of big data and how it is different from previously available learner data, we describe three notable features that characterize…
Descriptors: Data, Online Courses, Electronic Learning, Case Studies
Saltz, Jeffrey; Heckman, Robert – Themes in Science and Technology Education, 2015
This paper reports on a case study of a project-focused introduction to big data science course. The pedagogy of the course leveraged boundary theory, where students were positioned to be at the boundary between a client's desire to understand their data and the academic class. The results of the case study demonstrate that using live clients…
Descriptors: Science Education, Science Curriculum, Hands on Science, Science Activities
Smith, Amy; Molinaro, Marco; Lee, Alisa; Guzman-Alvarez, Alberto – Science Teacher, 2014
For students to be successful in STEM, they need "statistical literacy," the ability to interpret, evaluate, and communicate statistical information (Gal 2002). The science and engineering practices dimension of the "Next Generation Science Standards" ("NGSS") highlights these skills, emphasizing the importance of…
Descriptors: STEM Education, Statistics, Statistical Analysis, Learning Modules
Supovitz, Jonathan; Foley, Ellen; Mishook, Jacob – Education Policy Analysis Archives, 2012
Data have long been considered a key factor in organizational decision-making (Simon, 1955; Lindblom & Cohen, 1979). Data offer perspective, guidance, and insights that inform policy and practice (Newell & Simon, 1972; Kennedy, 1984). Recently, education policymakers have invested in the use of data for organizational improvement in states…
Descriptors: Academic Achievement, Politics of Education, Educational Indicators, Management Information Systems
Romero-Zaldivar, Vicente-Arturo; Pardo, Abelardo; Burgos, Daniel; Delgado Kloos, Carlos – Computers & Education, 2012
The interactions that students have with each other, with the instructors, and with educational resources are valuable indicators of the effectiveness of a learning experience. The increasing use of information and communication technology allows these interactions to be recorded so that analytic or mining techniques are used to gain a deeper…
Descriptors: Academic Achievement, Prediction, Learning Experience, Data
Westdijk, Kate; Koliba, Christopher; Hamshaw, Kelly – Journal of Higher Education Outreach and Engagement, 2010
Evaluative instruments designed to assess a university's or college's institutionalization of service-learning practices have been devised and widely utilized. These instruments often come with assumptions about aligning data with decision making. To date, attempts to document community engagement practices within a department or an entire…
Descriptors: Outreach Programs, Decision Making, Data, Data Collection
McCombs, Jennifer Sloan; Orr, Nate; Bodilly, Susan J.; Naftel, Scott; Constant, Louay; Scherer, Ethan; Gershwin, Daniel – RAND Corporation, 2010
High-quality out-of-school-time (OST) programs have a positive effect on youth development, but many cities have found it difficult to address the challenges of expanding and improving the quality of programs offered to underserved and high-need students. In response, The Wallace Foundation sponsored an initiative to help five cities increase…
Descriptors: After School Programs, Management Information Systems, Financial Support, Data
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
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