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…

Predictive studies have been widely undertaken in the field of education to provide strategic information about the extensive set of processes related to teaching and learning, as well as about what variables predict certain educational outcomes, such as academic achievement or dropout. As in any other area, there is a set of standard techniques…

Institutions are applying methods and practices from data analytics under the umbrella term of "learning analytics" to inform instruction, library practices, and institutional research, among other things. This study reports findings from interviews with professional advisors at a public higher education institution. It reports their…

With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…

Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…

This study examined pre-service teachers' self-reported intention to use technology. One hundred fifty-seven participants completed a survey questionnaire measuring their responses to six constructs from a research model that integrated the Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB). Structural equation modeling was…

National background of users may influence the process of technology acceptance. The present study explored this issue with the new, integrated technology use model proposed by Sun and Zhang (2006). Data were collected from samples of college students in India, Mauritius, Reunion Island, and United States. Questionnaire methodology and…

Study investigates the adequacy of predicting differential value systems of college students from their American College Test (ACT) scores. (Author)

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…

A group of 44 undergraduates was administered the Personal Orientation Inventory under different instructions to fake good'' toward two expectations. Results indicated that scores were significantly affected in the hypothesized directions. Earlier findings about the effect of dissimulation on PO1 scores were equivocal and conclusions expressed…

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)

Social Studies was the best predictor in the two-year colleges whereas Literature was the most predictive of success in the four-year colleges. (Author)

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)

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.)