This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…

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…

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)

Many schools are making changes in their cumulative record systems or are instituting new systems. The reason for this increased interest in cumulative records is their recognized value as a tool in the program of pupil guidance and adjustment. The greatest aid to the pupil can be given only when his rate and trend of development in various…