Logistic regression models of students' 1-year retention and 6-year retention/graduation for the fall 2000 entering class of students at a research-extensive university in the Midwest were estimated by combining university, financial aid, and Cooperative Institutional Research Program data ( n = 1,905; 45% female, 87% Caucasian, 75% in-state). Statistically significant predictors of retention to the second year were first-year cumulative grade point average, financial aid variables, learning community membership, information technology use in high school, and in-state residence. Six-year retention/graduation was predicted significantly by the students' last registered term cumulative grade point average, number of years living on campus, transfer credits, financial aid variables, gender, ability measures (high school rank, ACT composite score), in-state residence, and female gender.

While statistics is an essential topic for business students, many students experience barriers to successful learning due to anxiety, motivation, or difficulty with quantitative understanding. This research examines the use of online videos with an effort to explore the relationship between student characteristics, video usage, and course performance measures. In addition, the study examines student perceptions of the supplemental resources in an effort to examine the efficacy related to student learning and performance. This study seeks to confirm previous research regarding the benefit of supplemental video resources and extend the knowledge base by understanding the impact for various types of students (e.g., level of course, level of previous academic performance, etc.). The study found that the use of the video resources varies based on students’ previous math performance and the difficulty of the material. Student ratings indicate that the videos were helpful in learning the content and that they provided an important resource when students needed additional tools to master the material. Analysis of the results provides implications for understanding how different students use online videos and offers recommendations for educators and researchers about how to enhance student success in difficult statistics coursework.

We have developed a series of upper undergraduate/graduate lecture and laboratory courses on biotechnological topics to supplement existing biochemical engineering, bioseparations, and biomedical engineering lecture courses. The laboratory courses are based on problem-based learning techniques, featuring two- and three-person teams, journaling, and performance rubrics for guidance and assessment. Participants initially have found them to be difficult, since they had little experience with problem-based learning. To increase enrollment, we are combining the laboratory courses into 2-credit groupings and allowing students to substitute one of them for the second of our 2-credit chemical engineering unit operations laboratory courses.

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