Current Search:  Education--Demographic aspects (x)

View All Items

  • CSV Spreadsheet
(1 - 4 of 4)
Identifying and segmenting the low-literate adult population using geo-demographics: A model for community education use
Title
Identifying and segmenting the low-literate adult population using geo-demographics: A model for community education use.
Creator
Andler, Thomas Ross., Florida Atlantic University, Kerensky, Vasil M.
Abstract/Description
The United States Bureau of the Census has released much of the 1990 census data through CD-ROM technology. The census data is readily accessible, easily obtained, simple to use, and virtually free. This study presented an innovative way to use census data coupled with business and educational practices as a marketing and planning aid for adult literacy education. The purpose of this study was to develop a model that utilized geo-demographic census data to identify and segment the adult low...
Show moreThe United States Bureau of the Census has released much of the 1990 census data through CD-ROM technology. The census data is readily accessible, easily obtained, simple to use, and virtually free. This study presented an innovative way to use census data coupled with business and educational practices as a marketing and planning aid for adult literacy education. The purpose of this study was to develop a model that utilized geo-demographic census data to identify and segment the adult low-literate population. The identification and segmentation of the adult low-literate population gives literacy educators the ability to plan literacy related educational programs and to market literacy education programs to a well-defined, well-understood population. Demographic data from the 1990 United States census was compiled for the number of adults age 25 and older living in each census tract of Broward County, Florida, and St. Louis County, Minnesota, who possessed low-literacy identifiers found by past national literacy surveys. School districts from the two study counties supplied records containing the locations and the ABE and adult ESOL programs offered at the adult literacy education sites. Combining the census findings with the school district records revealed several combinations of conclusions. Some geographic locations with high incidences of the low-literacy identifiers, as could be expected, contained adult literacy education sites. However, some geographic locations with high incidences of the low-literacy identifiers did not contain adult literacy education sites. In contrast, some areas with low incidences of the low-literacy identifiers contained several adult literacy education sites. A Pearson correlation involving the low-literacy identifiers found a positive relationship between each of the educational attainment variables, each of the language isolation variables and between the educational attainment variables and the language isolation variables. In Broward County, Florida, there was a moderate negative relationship between per capita income and the other low-literacy identifiers. In St. Louis County, Minnesota, there was a weak relationship between per capita income and the other low-literacy identifiers. A K-means cluster analysis of census tracts found nine homogeneous clusters in Broward County, Florida, and seven homogeneous clusters in St. Louis County, Minnesota. The model could be a beneficial planning and marketing aid for adult literacy programs in any geographic location. Included in this study are 40 data tables. Census tract maps and thematic maps also illustrate the findings.
Show less
Date Issued
1994
PURL
http://purl.flvc.org/fcla/dt/12373
Subject Headings
Literacy--Statistics, Education--Demographic aspects, Demographic surveys
Format
Document (PDF)
Demographic predictors of success in a CAI program among elementary students
Title
Demographic predictors of success in a CAI program among elementary students.
Creator
Shutrump, George Joseph., Florida Atlantic University, Morris, John D., Kerensky, Vasil M.
Abstract/Description
This study used a discriminant analysis procedure to identify the demographic variables (school, teacher, grade level, subject, test used for evaluation, semester of treatment, and gender) or subsets of variables that would predict elementary students' success with computer assisted instruction (CAl). Also, multiple factorial analyses of variance were performed to test the interaction effect between treatment (CAl) and the demographic variables. Recommendations suggest that future research...
Show moreThis study used a discriminant analysis procedure to identify the demographic variables (school, teacher, grade level, subject, test used for evaluation, semester of treatment, and gender) or subsets of variables that would predict elementary students' success with computer assisted instruction (CAl). Also, multiple factorial analyses of variance were performed to test the interaction effect between treatment (CAl) and the demographic variables. Recommendations suggest that future research attempt to identify the appropriate teacher training in the use of computers for instruction that will produce recurring student achievement with CAl. It is also suggested that future research examining the academic effects of CAl in the elementary classroom (grade 2 through 5) should not be concerned with the grade level of the student, the subject being studied (mathematics or language arts), the test used for evaluation (local or standardized), or the gender of the student.
Show less
Date Issued
1993
PURL
http://purl.flvc.org/fcla/dt/12348
Subject Headings
Computer-assisted instruction--Evaluation, Education, Elementary--United States, Education--Demographic aspects
Format
Document (PDF)
GEOGRAPHIC INFORMATION SYSTEM FOR SCHOOL PLANNING
Title
A GEOGRAPHIC INFORMATION SYSTEM FOR SCHOOL PLANNING.
Creator
KOONTZ, JERRY MICHAEL., Florida Atlantic University, Schultz, Ronald R., Charles E. Schmidt College of Science, Department of Geosciences
Abstract/Description
This thesis describes the development of a geographic information system for school planning and boundary analysis. The focus of the thesis is on a geographic information system as a problem solving tool . The empirical analysis deals with middle school student projections and assignments in Broward County, Florida. Chapter I of the thesis defines the nature of a geographic information system. Chapter II explains the development of a geographic information system for Broward County schools....
Show moreThis thesis describes the development of a geographic information system for school planning and boundary analysis. The focus of the thesis is on a geographic information system as a problem solving tool . The empirical analysis deals with middle school student projections and assignments in Broward County, Florida. Chapter I of the thesis defines the nature of a geographic information system. Chapter II explains the development of a geographic information system for Broward County schools. Chapter III applies the geographic information system for projecting student enrollment and develops an application for school boundary determination. Chapter IV details the results of a linear programming approach to school boundary analysis. The concluding chapter discusses advantages and disadvantages of the geographic information system and examines additional areas of research.
Show less
Date Issued
1983
PURL
http://purl.flvc.org/fcla/dt/14132
Subject Headings
Information storage and retrieval systems--Education, School census--Florida--Broward County, Educational planning--Florida--Broward County, Education--Demographic aspects--Florida--Broward County
Format
Document (PDF)
Racial Inequalities in America: Examining Socieoeconomic Statistics Using the Semantic Web
Title
Racial Inequalities in America: Examining Socieoeconomic Statistics Using the Semantic Web.
Creator
Terrell, David J, Shankar, Ravi, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
The visualization of recent episodes regarding apparently unjustifiable deaths of minorities, caused by police and federal law enforcement agencies, has been amplified through today's social media and television networks. Such events may seem to imply that issues concerning racial inequalities in America are getting worse. However, we do not know whether such indications are factual; whether this is a recent phenomenon, whether racial inequality is escalating relative to earlier decades, or...
Show moreThe visualization of recent episodes regarding apparently unjustifiable deaths of minorities, caused by police and federal law enforcement agencies, has been amplified through today's social media and television networks. Such events may seem to imply that issues concerning racial inequalities in America are getting worse. However, we do not know whether such indications are factual; whether this is a recent phenomenon, whether racial inequality is escalating relative to earlier decades, or whether it is better in certain regions of the nation compared to others. We have built a semantic engine for the purpose of querying statistics on various metropolitan areas, based on a database of individual deaths. Separately, we have built a database of demographic data on poverty, income, education attainment, and crime statistics for the top 25 most populous metropolitan areas. These data will ultimately be combined with government data to evaluate this hyp othesis, and provide a tool for predictive analytics. In this thesis, we will provide preliminary results in that direction. The methodology in our research consisted of multiple steps. We initially described our requirements and drew data from numerous datasets, which contained information on the 23 highest populated Metropolitan Statistical Areas in the United States. After all of the required data was obtained we decomposed the Metropolitan Statistical Area records into domain components and created an Ontology/Taxonomy via Protege to determine an hierarchy level of nouns towards identifying significant keywords throughout the datasets to use as search queries. Next, we used a Semantic Web implementation accompanied with Python programming language, and FuXi to build and instantiate a vocabulary. The Ontology was then parsed for the entered search query and returned corresponding results providing a semantically organized a nd relevant output in RDF/XML format.
Show less
Date Issued
2015
PURL
http://purl.flvc.org/fau/fd/FA00004550, http://purl.flvc.org/fau/fd/FA00004550
Subject Headings
Data mining, Education -- Demographic aspects -- United States -- Statistics, Minorities -- United States -- Social conditions, Minorities -- United States -- Statistics, Race -- United States -- Statistics, Semantic Web, United States -- Ethnic relations -- Statistics, United States -- Race relations -- Statistics
Format
Document (PDF)