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Webber, Karen L., Ed.; Zheng, Henry, Ed. – Johns Hopkins University Press, 2020
The continuing importance of data analytics is not lost on higher education leaders, who face a multitude of challenges, including increasing operating costs, dwindling state support, limits to tuition increases, and increased competition from the for-profit sector. To navigate these challenges, savvy leaders must leverage data to make sound…
Descriptors: Data Use, Decision Making, Learning Analytics, Higher Education
Castellano, Katherine E.; Ho, Andrew D. – Council of Chief State School Officers, 2013
This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…
Descriptors: Guides, Models, Academic Achievement, Achievement Gains
Peer reviewedBrowning, 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
Lieshoff, Sylvia – 1993
This paper examines the use of environmental scanning for institutions of higher education to achieve the following objectives: (1) provide early warning of changes that will have an impact on education; (2) define potential threats and opportunities to the institution or department; (3) promote a future orientation in faculty; and (4) alert…
Descriptors: College Planning, Data Analysis, Data Collection, Environmental Scanning
Brazziel, William F. – 1988
This paper examines the changing demographics of American society and the impact of these changes on higher education. Discussions include a historical background of early American demography, the building and expansion of the population base, and census changes through various generations of the baby boom years and beyond. Next, the report…
Descriptors: Adult Education, Baby Boomers, Birth Rate, Census Figures
Peer reviewedPiston, Calvin – Mathematics Teacher, 1992
Proposes three types of supplementary problems to develop students' skill in interpretation of graphically represented data. Eleven examples are presented and solved for the following types of problems: comparison of one quantity to another, comparison of two quantities that each depend on a common parameter, and reasonable data prediction. (MDH)
Descriptors: Cognitive Development, Data Analysis, Data Interpretation, Enrichment Activities
Halpern, Sheldon; Rosenblum, Jesse H. – Currents, 1986
The spreadsheet can be a powerful tool in marketing. Using a spreadsheet and admissions data, models can be built for: periodic reports of admission status, projections of the size and quality of the incoming class, and long-term recruitment strategy. (MLW)
Descriptors: College Admission, Computer Oriented Programs, Data Processing, Futures (of Society)
Peer reviewedFrancisca, M.; And Others – Physics Education, 1986
Analyzes data presented in a recent article (EJ 328 649) examining the relationship between A-level physics and mathematics and degree performance in engineering or physics. A grade of A in A-level physics predicted first class degree performance. (JM)
Descriptors: College Science, Data Analysis, Engineering, Foreign Countries
Peer reviewedPost, Richard – TechTrends, 1987
Describes results of survey of media service directors at public universities in Ohio to determine the expected longevity of audiovisual equipment. Use of the Delphi technique for estimates is explained, results are compared with an earlier survey done in 1977, and use of spreadsheet software to calculate depreciation is discussed. (LRW)
Descriptors: Audiovisual Aids, Comparative Analysis, Delphi Technique, Equipment Maintenance
Peer reviewedLutz, Frank W.; Wang, Lee-Yen – Educational Administration Quarterly, 1987
This study reanalyzes data collected in 1977 from 95 Ohio school districts and develops a theory of dissatisfaction that may accurately predict school board elections. According to the theory, only when people are dissatisfied enough will they become politically active. Seven tables and 16 references are included. (WTH)
Descriptors: Behavior Theories, Boards of Education, Educational Research, Elections
Peer reviewedOman, Paul W. – AEDS Journal, 1986
Describes a study of 38 students at Eastern Oregon State College which identified mathematics proficiency as the key student characteristic leading to successful completion of computer science courses, and developed a model that accounts for 82 percent of the variation in students' final grades in computer courses for use by advisers. (LRW)
Descriptors: Academic Achievement, Academic Advising, Analysis of Variance, Computer Science Education
Lauritzen, Paul – 1989
This manual addresses the Comprehensive System of Personnel Development (CSPD) requirement of Public Law 94-142. It presents model procedures for the collection of data necessary to project personnel needs in special education. Implementation of the model will identify: areas of education which show need for additional teachers as well as areas of…
Descriptors: Data Collection, Disabilities, Elementary Secondary Education, Employment Opportunities
Maryland State Higher Education Commission, Annapolis. – 1997
This study examined the relationship between students' academic performance in high school vis-a-vis their performance in the first year at college. The study analyzed data on students who graduated from Maryland high schools in the 1994-95 academic year and who were enrolled in 2- and 4-year Maryland public institutions or in one of 11…
Descriptors: Academic Achievement, College Bound Students, College Freshmen, College Outcomes Assessment

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