We propose that machine-learned computational models (MLCMs), in which the model parameters and perhaps even structure are learned from data, can complement extant approaches to the study of text and discourse. Such models are particularly useful when theoretical understanding is insufficient, when the data are rife with nonlinearities and…

Understanding large-scale patterns in student course enrollment is a problem of great interest to university administrators and educational researchers. Yet important decisions are often made without a good quantitative framework of the process underlying student choices. We propose a probabilistic approach to modelling course enrollment…

Relatively little is known about the presumably thousands of branch campuses and centers represented among U.S. higher education institutions. In an effort to fill this void, the research committee of the National Association of Branch Campus Administrators (NABCA) conducted a web-based survey targeting the leaders of branch campuses and…

Although public universities account for most of the higher education enrollment in California, independent colleges and universities make an important contribution to meeting enrollment demand. California's 76 independent non-profit colleges and universities provide a wide range of degree and certificate programs. In fall 2008, the independents…