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Whitaker, Douglas; Jacobbe, Tim – Journal of Statistics Education, 2017
Bar graphs and histograms are core statistical tools that are widely used in statistical practice and commonly taught in classrooms. Despite their importance and the instructional time devoted to them, many students demonstrate misunderstandings when asked to read and interpret bar graphs and histograms. Much of the research that has been…
Descriptors: Secondary School Students, Graphs, Knowledge Level, Statistics
Popova, Maia; Bretz, Stacey Lowery – Chemistry Education Research and Practice, 2018
Organic chemistry students struggle with understanding the energetics of chemical reactions. Reaction coordinate diagrams are one tool that is widely used in organic chemistry classrooms to assist students with visualizing and explaining the energy changes that take place throughout a reaction. Thirty-six students enrolled in organic chemistry II…
Descriptors: Undergraduate Students, Organic Chemistry, Knowledge Level, Scientific Concepts
Thompson, Charee M. – Communication Teacher, 2015
Guided by the principle "good data presentation is timeless," (Cressey, 2014, p.305), this unit project challenges students to engage an alternative means of sharing communication research and to realize the potential for their presentations to become "visual legacies" through the creation of infographics. Students encounter…
Descriptors: Graphic Arts, Data, Class Activities, Data Collection
Woods, David M.; Howard, Elizabeth V. – Information Systems Education Journal, 2014
Courses in Information Technology Ethics are often designed as discussion-intensive courses where case studies are introduced and evaluated using ethical theories. Although many of the case studies directly apply to our students' online lives, the stories can sometimes seem too far removed from their own experiences. While we read the news…
Descriptors: Active Learning, Learning Activities, Information Technology, Ethics
McDonald, Sarah-Kathryn; Andal, Jolynne; Brown, Kevin; Schneider, Barbara – Regional Educational Laboratory Midwest, 2007
Educational improvement through data-based decision-making using high-quality data is a longstanding goal of policymakers and practitioners, and ensuring the quality of the evidence available to inform such decisions is a key part of the No Child Left Behind Act of 2001. The evidence-based education that such initiatives promote involves the…
Descriptors: Educational Resources, Information Needs, Information Systems, Politics of Education
Burgess, Leigh – Principal Leadership, 2006
Educators are bombarded with data from all directions, but to effect change in the education field, they must be able to determine what key information and data are needed, understand how to use what they have learned from the data, and then use what they have learned to improve overall student achievement. Collecting and using data has become an…
Descriptors: Needs Assessment, Data Interpretation, Evaluative Thinking, County School Districts

Gaski, Michele; Fawcett, Gay – Ohio Reading Teacher, 1999
Claims the data from the Ohio Proficiency Test is rich but hard to use. Describes a process for analyzing the data to make it more manageable. Provides suggestions for using the results to make data-driven decisions. (NH)
Descriptors: Achievement Tests, Data Interpretation, Elementary Education, Minimum Competency Testing

HCR, Washington, DC. – 1985
This report describes a method to estimate the number of migrant and seasonal farmworkers present in a prescribed area during crop harvest, and to pinpoint areas of high need for health and social services. The collection of health clinic and federal program data on migrant and seasonal farmworkers in Florida, northwestern Ohio, and Maryland's…
Descriptors: Data Interpretation, Employment Patterns, Employment Projections, Farm Labor
Duffy, Elizabeth A.; Goldberg, Idana – 1998
This book traces the development of competitive admission and financial aid policies at a selected group of 16 liberal arts colleges in Ohio and Massachusetts over the period 1955 to 1994. Exploring the way institutional decisions reflect and respond to broad demographic, economic, political, and social forces, the book considers the challenges…
Descriptors: College Admission, Data Interpretation, Enrollment Projections, Enrollment Trends