Thesis (M.A.)--Rowan University, 2005. / Typescript. Includes bibliographical references.

Mobile Attendance Application is a cross platform mobile application where students can mark attendance from their smartphones. This application takes multiple parameters into consideration to determine if the student is physically present in the class or not. i.e. the GPS location, Coyote login ID. This application also has the functionality to generate the attendance sheets in excel format to the instructor. The application is aimed to save class time at no extra cost of purchasing any special peripheral devices. User authentication is one of the important factors in this proposed system. Every student is authenticated based on his/her unique user identification number. If a student does not have access to a mobile device or if the device battery is dead, then he/she can indicate to the instructor who can mark the attendance in the instructor’s smartphone.

Thesis (Ph. D.)--Georgia State University, 2007. / Title from file title page. Philo Hutcheson, committee chair; Carolyn Furlow, Benjamin Baez, Hayward Richardson, committee members. Electronic text (174 p. : ill.) : digital, PDF file. Description based on contents viewed Aug. 20, 2008. Includes bibliographical references (p. 150-164).

Thesis (Ph. D.)--Washington State University, May 2010. / Title from PDF title page (viewed on July 1, 2010). "Department of Sociology." Includes bibliographical references (p. 125-134).

The purpose of the study was to determine the role of various economic, social, and institutional variables that accounted for the enrollment trends of liberal arts colleges. Most enrollment forecasts have predicted declines in higher education enrollments. Individual institutions relying upon enrollment predictions for planning have had difficulty using these predictions because most of them are aggregated. This study concentrated on individual liberal arts colleges as defined by the Carnegie Commission. Methods of enrollment projections were discussed along with a variety of national, regional, institutional type enrollment projections made since 1970. Observed enrollment trends, factors affecting enrollments, and demographic information were discussed. A marketing concept was used to provide the framework for discovering variables relating to enrollment trends. Phase I of the study selected contributing variables and prepared the data to be examined statistically. Phase II catagorized the institutions into groups according to their enrollment tends over a fourteen year period beginning in 1965 and selected a sample group for statistical testing. Phase III statistical analyzed enrollment trends using enrollment trends as the dependent variable and the independent variables selected in Phase I. The variables discovered to be significant were then tested to assess their predictive validity. Institutions were classified into ten groups using a least squares regression criterion for best fit. These included accelerated growth, constant growth, slowing growth, stable, slowing decline, constant decline, accelerated decline, growth/decline, decline/growth, and erratic. Of 585 Liberal Arts I and Liberal Arts II colleges listed by the Carnegie Commission, 62 were eliminated for lack of enrollment information, and 523 were classified. Those institutions most clearly fitting an enrollment trend were used in the 122 sample that was used in the statistical analysis. Thirty-three Liberal Arts I and eighty-nine Liberal Arts II institutions were chosen for the analysis. In the final analyses, only the growth or decline and the stable groups were used making the seven enrollment trends. Discriminate function analysis was used to distinguish statistically among the groups and to indicate the ability of the independent variables to predict enrollment trends. Liberal Arts I and Liberal Arts II colleges were analyzed separately, and in three ways. . . . (Author's abstract exceeds stipulated maximum length. Discontinued here with permission of author.) UMI

Graduation date: 1955

Thesis (Ph. D.)--University of Texas at Austin, 2002. / Vita. Includes bibliographical references. Available also from UMI Company.

Thesis--PlanB (M.S.)--University of Wisconsin--Stout, 2004. / Includes bibliographical references.

No description available.

No description available.