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Rodriguez, Sheila M.; Estacion, Angela – Regional Educational Laboratory Northeast & Islands, 2014
As the name indicates, the College Readiness Data Catalog Tool focuses on identifying data that can indicate a student's college readiness. While college readiness indicators may also signal career readiness, many states, districts, and other entities, including the U.S. Virgin Islands (USVI), do not systematically collect career readiness…
Descriptors: College Readiness, Data, Educational Indicators, Data Collection
Ingels, Steven J.; Pratt, Daniel J.; Herget, Deborah R.; Burns, Laura J.; Dever, Jill A.; Ottem, Randolph; Rogers, James E.; Jin, Ying; Leinwand, Steve – National Center for Education Statistics, 2011
The High School Longitudinal Study of 2009 (HSLS:09) is the fifth in a series of National Center for Education Statistics (NCES) secondary longitudinal studies. The core research questions for HSLS:09 explore secondary to postsecondary transition plans and the evolution of those plans; the paths into and out of science, technology, engineering,…
Descriptors: High Schools, Longitudinal Studies, Secondary Education, School Statistics
Muscat, Eugene – Business Education World, 1977
Encourages business teachers to examine the advantages of implementing a data processing program from the perspectives of career counseling, course objectives, and career education. (TA)
Descriptors: Business Education, Career Counseling, Career Education, Curriculum Development
Johnson, Mildred F. – Balance Sheet, 1981
At what levels should business data processing be taught and what should be the desired training or career education outcomes at each education level? The levels discussed here are (1) comprehensive secondary school, (2) secondary vocational skills center or technical institute, (3) community or junior college, and (4) college or university. (LRA)
Descriptors: Articulation (Education), Business Education, Data Processing, Data Processing Occupations
Shettle, Carolyn; Cubell, Michele; Hoover, Katylee; Kastberg, David; Legum, Stan; Lyons, Marsha; Perkins, Robert; Rizzo, Lou; Roey, Stephen; Sickles, Diane – US Department of Education, 2008
This technical report documents the procedures used to collect and summarize data from the 2005 High School Transcript Study (HSTS 2005). The transcript studies serve as a barometer for changes in high school graduates' course-taking patterns; these patterns provide information about the rigor of high school curricula followed across the nation.…
Descriptors: Check Lists, High Schools, School Activities, Course Selection (Students)
Klein, Joseph; Weiss, Itzhak – Journal of Educational Administration, 2007
Purpose: The literature advocates educational decision-making processes that are either intuitive or systematic. While the two approaches seem to be incompatible, each has its merits. Intuitive thinking is considered to be holistic and creative, whereas the systematic approach has the advantages of a theoretical foundation and accuracy in data…
Descriptors: Decision Making, Data Processing, Teaching Methods, Thinking Skills
Linnaus, Vernon F. – J Bus Educ, 1969
Descriptors: Accounting, Automation, Bookkeeping, Business Education
MCGONIGAL, JAMES – 1967
DESIGNED FOR TEACHER USE, AN OUTLINE OF UNITS FOR A COURSE OF STUDY IN DATA PROCESSING FOR GRADES 9, 10, 11, AND 12 IS PRESENTED. THE PROGRAM IS DESIGNED FOR THE STUDENT WHO WISHES TO MAKE A CAREER OF DATA PROCESSING. THE PROGRAM CAN BE ADAPTED TO THE STUDENT WHO WISHES TO ENTER INDUSTRY IMMEDIATELY UPON GRADUATION OR TO THE ONE WHO WISHES TO HAVE…
Descriptors: Business Education, Curriculum, Curriculum Guides, Data Processing
Gravelle, John D. – 1994
This document describes the procedures used by one group of Wisconsin high school students to compile data researched on all hurricanes in the Atlantic from 1886 through 1993. The students used data received on Internet to create a hypercard stack that would plot hurricanes. Students from Minnehaha Academy in Minnesota used the net to download…
Descriptors: Computers, Data Processing, Databases, High Schools
Korn, Willard – J Bus Educ, 1969
Descriptors: Business Education, Course Content, Data Processing, Educational Needs
Ruge, Gerald D. – Bus Educ Forum, 1970
A data processing van is a 12-foot by 60-foot mobile home containing 10 keypunch simulators, six keypunches, a verifier, sorter, accounting machine, 1622 card read-punch, and 1620 computer. The van is at each of four high schools during one quarter of the school year. (DM)
Descriptors: Business Education, Course Organization, Data Processing, High Schools
Cicero, John J., Jr. – Balance Sheet, 1981
The future of data processing (DP) will depend upon how business teachers handle the subject. A high school DP curriculum should provide background and basic entry-level skills to prepare students for opportunities in this rapidly growing field. (SK)
Descriptors: Business Education, Computer Science Education, Data Processing, Entry Workers
Steiner, Thomas A. – School Press Review, 1979
Offers tips to high school publication staff members on planning a survey, preparing the survey form, conducting the survey, tabulating the results, and preparing the survey as a readable, interesting feature. (GT)
Descriptors: Data Processing, High Schools, News Reporting, Research Methodology

Lambrecht, Judith J. – Business Education Forum, 1977
To help business teachers who would like to improve or expand their offerings in data processing, Minnesota developed curriculum guidelines for a potential three-semester data processing program at the high school level. This article discusses Minnesota's approach for identifying course content, basic assumptions for curriculum guidelines, and…
Descriptors: Business Education, Course Content, Curriculum Development, Data Processing
Patrick, Ertha – 2000
This report examines college enrollment of students working and/or attending public postsecondary institutions in Texas for the Austin Independent School District (AISD) for the 1997-1998 senior cohort. College enrollment percentages of former students are presented as one indicator of AISD's success in preparing students for the future. The…
Descriptors: Academic Records, Data Processing, Enrollment, Followup Studies