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Edge, Brittani; Velandia, Margarita; Lambert, Dayton M.; Roberts, Roland K.; Larson, James A.; English, Burton C.; Boyer, Christopher; Rejesus, Roderick; Mishra, Ashok – Journal of Extension, 2017
Using information from precision farmer surveys conducted in the southern United States in 2005 and 2013, we evaluated changes in the use of precision farming information sources among cotton producers. Although Extension remains an important source for producers interested in precision farming information, the percentage of cotton producers using…
Descriptors: Information Utilization, Information Sources, Change, Agricultural Occupations
Education Trust, 2016
All across the country, leaders in colleges and universities are asking the same question: What can we do to improve student success, especially for the low-income students and students of color whose graduation rates often lag behind? This second practice guide: "Using Data to Improve Student Outcomes: Learning from Leading Colleges"…
Descriptors: Data Analysis, Information Utilization, Student Improvement, Outcomes of Education
Hall Giesinger, C.; Adams Becker, S.; Davis, A.; Shedd, L. – New Media Consortium, 2016
Higher education is ripe for innovation. While emerging technological developments such as digital courseware and mobiles apps have made it easier than ever for people to engage with learning resources, significant issues of access and equity persist among students from low-income, minority, single-parent families, and other disadvantaged groups.…
Descriptors: Strategic Planning, Higher Education, Educational Change, Change Strategies
LaSota, Robin Rae – ProQuest LLC, 2013
My dissertation utilizes an explanatory, sequential mixed-methods research design to assess factors influencing community college students' transfer probability to baccalaureate-granting institutions and to present promising practices in colleges and states directed at improving upward transfer, particularly for low-income and first-generation…
Descriptors: Community Colleges, College Students, Transfer of Training, Probability
Cummins, H. J. – Wallace Foundation, 2013
What happens when teams from 57 cities building afterschool systems gather to discuss two key system responsibilities--improving afterschool programs and using data for informed decision-making? Lots of rich discussion. This report covers a national afterschool conference held in February 2013. It details what mayors, program providers, system…
Descriptors: Conferences (Gatherings), Decision Making Skills, Management Information Systems, After School Programs
National Survey of Student Engagement, 2007
The National Survey of Student Engagement (NSSE) documents dimensions of quality in undergraduate education and provides information and assistance to colleges, universities, and other organizations to improve student learning. Its primary activity is annually surveying college students to assess the extent to which they engage in educational…
Descriptors: Learner Engagement, National Surveys, Student Surveys, Undergraduate Students
National Survey of Student Engagement, 2006
The National Survey of Student Engagement (NSSE) documents dimensions of quality in undergraduate education and provides information and assistance to colleges, universities, and other organizations to improve student learning. Its primary activity is annually surveying college students to assess the extent to which they engage in educational…
Descriptors: Learner Engagement, National Surveys, Student Surveys, Undergraduate Students
Ratajczak, Rosalinda – 1978
The six sections of this report describe the collection of occupational information on an interstate basis to plan effective education programs for manpower development. Focus is on eight southern states--Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, and Tennessee. Section 1 discusses two views of vocational…
Descriptors: Data Collection, Decision Making, Economic Factors, Economics