Predicting the students' performance has become a challenging task due to the increasing amount of data in educational systems. In keeping with this, identifying the factors affecting the students' performance in higher education, especially by using predictive data mining techniques, is still in short supply. This field of research is usually…

Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…

Civitas Learning was conceived as a community of practice, bringing together forward-thinking leaders from diverse higher education institutions to leverage insight and action analytics in their ongoing efforts to help students learn well and finish strong. We define insight and action analytics as drawing, federating, and analyzing data from…

The underlying aim of the work related in this article, was to define Design Patterns for recording and analyzing usage in learning systems. The implied "bottom-up" approach when defining a Design Pattern brought us to examine data collected in our learning system through different lights: (1) the data type, (2) the human roles involved…

Rebuts the claims of Trusheim and Crouse, made in an earlier issue, that Scholastic Aptitude Test scores are no more effective predictors of college success than is high school class rank. Discusses inaccuracies in the data used by Trusheim and Crouse and points out errors in their analyses. (PGD)

A study that used the new U.S. Census data on participation rates to develop a model for national and state forecasting for enrollment of older students is discussed. Data useful in estimates of institutional market share were also developed. (Author/MLW)

Studies of enrollment demand assume that public institutions accept all eligible applicants. If enrollments are limited by institutional constraints on the supply of places, another approach to estimating student demand behavior is needed. A model that explains the determination of enrollments in these cases is presented. (Author/MLW)

Data mining of IPEDS data is used to develop models that calculate predicted graduation rates for two- and four-year institutions. (Contains 7 tables and 5 figures.)

The difference between accepted and enrolling students was modeled over a 30-week period using total number of students accepted, mean composite SAT scores, and mean high school quarter rank. The enrollment yield and academic ability difference functions were collectively modeled for the university and separately for each academic college.…

Analyzes data presented in a recent article (EJ 328 649) examining the relationship between A-level physics and mathematics and degree performance in engineering or physics. A grade of A in A-level physics predicted first class degree performance. (JM)

Predictors of job change for academic staff administrators are examined. Analyses of questionnaire data from administrators who had been employed from 1971 through 1978 indicated that predictors of job mobility differ for diverse kinds of moves with two exceptions--age and gender. (Author/MLW)

Multiple regression analysis was used to establish a scale, measuring college student involvement in campus activities, work experience, technical background, references, and goals. This scale was tested to see whether it improved the prediction of success in graduate school. (Author/MLW)

A look at recent enrollment trends (including projected declines) is provided. The feared decline in postsecondary enrollments has not yet occurred; however, other economic, demographic, and social pressures contributed to the changing the character of the postsecondary student body. (MLW)

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.…

Default on guaranteed student loans has been increasing. The use of discriminant analysis as a technique to identify "good" v "bad" student loans based on information available from the loan application is discussed. Research to test the ability of models to such predictions is reported. (Author/MLW)