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Earl H. McKinney Jr.; Simon Ginzinger – Journal of Information Systems Education, 2024
The growing use of analytics has increased the demand for more highly data literate graduates. Awareness of ambiguity in data has been suggested as a new data literacy skill. Here, we describe a student-centered semester-long project that can be used to teach this skill in an introductory analytics or database course. The project requires students…
Descriptors: Student Centered Learning, Student Projects, Consciousness Raising, Ambiguity (Context)
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Sole, Marla A. – Mathematics Teacher, 2016
Every day, students collect, organize, and analyze data to make decisions. In this data-driven world, people need to assess how much trust they can place in summary statistics. The results of every survey and the safety of every drug that undergoes a clinical trial depend on the correct application of appropriate statistics. Recognizing the…
Descriptors: Statistics, Mathematics Instruction, Data Collection, Teaching Methods
National Assessment Governing Board, 2012
Since 1973, the National Assessment of Educational Progress (NAEP) has gathered information about student achievement in mathematics. Results of these periodic assessments, produced in print and web-based formats, provide valuable information to a wide variety of audiences. They inform citizens about the nature of students' comprehension of the…
Descriptors: Academic Achievement, Mathematics Achievement, National Competency Tests, Grade 4
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Wilder, Esther Isabelle – Teaching Sociology, 2009
The Integrating Data Analysis (IDA) approach to undergraduate education developed by the American Sociological Association (ASA) and the Social Science Data Analysis Network (SSDAN) has been embedded in the undergraduate sociology curriculum at Lehman College, The City University of New York (CUNY), since 2003. This study draws on student and…
Descriptors: Undergraduate Study, Numeracy, Active Learning, Sociology
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Browning, Christine A.; Channell, Dwayne E. – Arithmetic Teacher, 1992
Describes an activity that introduces students to the use of database software to collect and interpret data. Asks middle school students to collect personal information regarding their dominant hand, eye, and thumb. Students use FIND and AND commands to create tables and respond to questions related to the data. (MDH)
Descriptors: Computer Uses in Education, Courseware, Data Analysis, Data Collection
Heppen, Jessica B.; Therriault, Susan Bowles – National High School Center, 2008
The high school dropout problem has been called a national crisis. Educators, researchers, and policymakers continue to work to identify effective dropout prevention approaches. One important element of such prevention efforts is the identification of students at highest risk for dropping out and then the targeting of resources to keep them in…
Descriptors: Urban Schools, High Schools, Dropout Prevention, Dropouts
Warner, Rebecca M. – SAGE Publications (CA), 2007
This book provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked…
Descriptors: Predictor Variables, Computer Peripherals, Statistical Analysis, Equations (Mathematics)
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Helft, B. Loerinc; Levine, Lawrence H. – Journal of Educational Technology Systems, 1986
This study tested 625 college students in an introductory computer course to determine their knowledge of common computer terms. Results indicate that a large proportion of the terms are used inconsistently, and not understood by either students or those who define them. Implications for teachers of computer courses are discussed. (MBR)
Descriptors: College Students, Computers, Correlation, Definitions
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Garland, Kathleen; Rike, Galen E. – Journal of Education for Library and Information Science, 1987
This study examined the relationship between scholarly publication by faculty teaching in library and information science programs and 18 selected variables. Six variables were found to be predictors of faculty productivity: highest degree earned, size of faculty, years elapsed from bachelors's to highest degree, program type, prestige of program,…
Descriptors: Faculty Publishing, Higher Education, Information Science, Multiple Regression Analysis
Davidson, Joseph O.; Mead, Linda – 1986
The development of a successful short-range forecasting model for predicting enrollment in a university intensive English course began with examination of the characteristics (nationality, enrollment patterns, persistence) of both course participants and no-shows; the resulting figures revealed consistent patterns for country of origin and for…
Descriptors: College Second Language Programs, English (Second Language), Enrollment Projections, Higher Education
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Mead, Arthur C. – Journal of Economic Education, 1998
Describes class exercises where undergraduates construct and test mathematical models using data and issues related to social security. The students collect data and forecast economic and demographic variables that determine future tax rates. They then discuss government policies that are derived from their models. (MJP)
Descriptors: Cost Effectiveness, Data Analysis, Economics, Economics Education
Arnold, Gertrude L.; And Others – 1996
This study of faculty stress used data from the Higher Education Research Institute (HERI) survey administrated in the 1992-93 academic year. The total data set includes survey information from more than 43,000 faculty at nearly 300 higher education institutions in the United States. For this study, data for 29,064 full-time teaching faculty were…
Descriptors: College Faculty, Faculty Workload, Full Time Faculty, Higher Education