Business analytics courses, such as marketing research, data mining, forecasting, and advanced financial modeling, have substantial predictive modeling components. The predictive modeling in these courses requires students to estimate and test many linear regressions. As a result, false positive variable selection ("type I errors") is…

With increasing Internet connectivity and traffic volume, recent intrusion incidents have reemphasized the importance of network intrusion detection systems for combating increasingly sophisticated network attacks. Techniques such as pattern recognition and the data mining of network events are often used by intrusion detection systems to classify…

Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…

Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…

An interactive, computerized model developed for Old Dominion University utilizes university historical data, demographic characteristics, projected selected economic variables and population figures by various age groups and planning districts to forecast enrollment, financial projections, and future fiscal conditions of the institution. The…

Multiple regression analyses were employed to determine the relationships between achievement variables as predictors of the performance on the National Board of Medical Examiners examinations of medical students. Score averages were added to a composite Medical College Admission Test to investigate the increases in prediction accuracy.…

Data-mining technology's predictive modeling was applied to enhance the prediction of enrollment behaviors of admitted applicants at a large state university. (Contains 4 tables and 6 figures.)

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…

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…

This manual presents procedures for collecting data to project personnel needs in the field of special education, addressing in part the Comprehensive System of Personnel Development requirements of Public Law 94-142. Implementation of the procedures identifies: areas of education that show need for additional teachers as well as areas of surplus;…