Maintaining and cultivating student engagement is critical for learning. Understanding factors affecting student engagement can help in designing better courses and improving student retention. The large number of participants in massive open online courses (MOOCs) and data collected from their interactions on the MOOC open up avenues for studying…

Among community college leaders and others interested in reforms to improve student success, there is growing interest in adopting machine learning (ML) techniques to predict credential completion. However, ML algorithms are often complex and are not readily accessible to practitioners for whom a simpler set of near-term measures may serve as…

Objective: This study examines how accurately a small set of short-term academic indicators can approximate long-term outcomes of community college students so that decision-makers can take informed actions based on those indicators to evaluate the current progress of large-scale reform efforts on long-term outcomes, which in practice will not be…

A predictive model for the USMLE Step 1 was created based on NBME Comprehensive Basic Sciences Self-Assessment (CBSSA) exams. All second year medical students at a southwestern university from 2014-2016 took a NBME CBSSA exam under controlled testing conditions six months (January) and three months (April) prior to their Step 1. A multiple…

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…

The current study tested a psychosocial mediation model of the association between subjective social status (SSS) and academic achievement for youth. The sample included 430 high school students from diverse racial/ethnic and socioeconomic backgrounds. Those who perceived themselves to be at higher social status levels had higher GPAs. As…

This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…

Prediction models using graduation rate as the performance indicator were obtained for community colleges in California, Florida, and Michigan. The results of this study indicated that institutional graduation rate could be predicted effectively from an aggregate of student and institutional characteristics. A performance measure was computed, the…

Community colleges continue to experience growth in online courses. This growth reflects the need to increase the numbers of students who complete certificates or degrees. Retaining online students, not to mention assuring their success, is a challenge that must be addressed through practical institutional responses. By leveraging existing student…

In this paper an effort is made to seek within John W. Atkinson's own thinking on achievement motivation a more parsimonious explanation of the assumed curvilinearity between motive strength and performance. (Author/RK)

A Model predicts a student's academic performance in his first year in a particular department at a university. It uses an aggregate selection score based on aggregate results obtained at a public examination along with a measure of the student's ability in one or more specific subjects or areas relevant to the department. (LBH)

Logistic regression was employed to analyze predictors of academic performance (academic dismissal versus satisfactory performance) for first-time freshmen after one semester in an eastern state university. The analyses indicated that academic performance was highly related to high school academic grade point average. (Author/MLW)

A comprehensive guidance program aimed at predicting chances of success in a student's choice of programs in community college and occupational programs, this project was undertaken during the fall of 1971 at Wayne Community College. The subjects used were those seniors from the five high schools who were interested in one of the vocational…

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.…