Is First-Year Seminar Type Predictive of Institutional Retention Rates?

2020 ◽  
Vol 61 (3) ◽  
pp. 379-390
Author(s):  
Dallin George Young
Keyword(s):  
Retention Rates ◽  
First Year ◽  
Institutional Retention ◽  
First Year Seminar

The Impact of Clustering First Year Seminars with English Composition Courses on New Students' Retention Rates

2001 ◽  
Vol 3 (2) ◽  
pp. 137-152 ◽  
Author(s):  
Jennifer L. Crissman
Keyword(s):  
Retention Rates ◽  
English Composition ◽  
Future Research ◽  
First Year ◽  
Independent College ◽  
Composition Course ◽  
New Students ◽  
First Year Seminars ◽  
The Impact ◽  
First Year Seminar

Research has shown that two effective programs that positively impact upon new students' retention are first year seminars and clustering two or more academic courses together. This article discusses the results of one institution's approach to increasing student retention. The study analyzed the impact of clustering a first year seminar with an English composition course on new students' retention rates at a small, independent college in the northeast. The study, using multivariate regression models, showed no statistical difference in retention rates between students taking a clustered first year seminar and students taking a nonclustered first year seminar. This article discusses reasons that may account for the inconsistency with the literature, and closes with implications of the study and future research ideas.

scholarly journals The Second-Year Retention Effect of Early Enrollment in a First-Year Seminar

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Tyrone E. McKoy
Keyword(s):  
Community College ◽  
Positive Impact ◽  
Average Treatment Effect ◽  
Retention Rates ◽  
First Year ◽  
First Semester ◽  
Percentage Point Increase ◽  
Second Year ◽  
New Community ◽  
First Year Seminar

Is early enrollment in a qualified first-year seminar (FYS) positively associated with second-year retention rates of new community college students? A large mid-Atlantic community college (MAC) believes that it is, and this belief is the basis for the hypothesis being tested in this research. Beginning in 2010, new first-time college and degree-seeking students were required to enroll in the newly developed FYS course in the first semester of attendance. Students who complied with this policy over the years 2010-2013 were matched on an array of observable and unobservable variables with similar students from the prior years 2006-2009 using the propensity-score matching (PSM) method. Using a logistic regression model, it was estimated that average treatment effect was a statistically significant positive impact of a 6.07 percentage-point increase in the likelihood of being retained into the second year. This result is in line with a common, but not universal, belief in the theory and other research that suggests that enrollment in a FYS would have such an effect. Although there are clear limitations to this result, the implications are positive for the community college that adopted this new policy and for the students it serves. 

scholarly journals Testing the Effect of UNIV1000 on Retention in a Regional University in the US

2020 ◽  
Vol 9 (5) ◽  
pp. 198
Author(s):  
Agnitra Roy Choudhury ◽  
Mariano Runco
Keyword(s):  
Student Retention ◽  
Probit Model ◽  
Retention Rates ◽  
First Year ◽  
Economic Factors ◽  
Regional University ◽  
The Us ◽  
Market Opportunities ◽  
First Year Seminar ◽  
Perform Survival Analysis

Abstract Student retention is a major concern for many universities. We use observational data from a regional university located in Alabama to test whether taking a first-year seminar improves student retention rates. Using a linear probit model, we find that taking a first-year seminar course is negatively correlated with retention rates, after controlling for several confounding effects. We perform survival analysis and find that the students who take first year seminar courses have a better survival rate for retention than those that do not take the course. We also find that other macro and micro economic factors are equally important in improving student retention rates, such as labor market opportunities and competition from similar universities.

A Long-Term Study of What Best Predicts Graduating From University Versus Leaving Prior to Graduation

2021 ◽  
pp. 152102512098799
Author(s):  
Teena Willoughby ◽  
Victoria W. Dykstra ◽  
Taylor Heffer ◽  
Joelle Braccio ◽  
Hamnah Shahid
Keyword(s):  
Mental Health ◽  
Social Engagement ◽  
Retention Rates ◽  
First Year ◽  
Long Term Study ◽  
Enrollment Status ◽  
Mental Health Difficulties ◽  
University Degree ◽  
The University

Despite the importance of obtaining a university degree, retention rates remain a concern for many universities. This longitudinal study provides a multi-domain examination of first-year student characteristics and behaviors that best predict which students graduate. Graduation status was assessed seven years after students entered university. Participants (N = 1017; 71% female; mean age in Year 1 was 19 years) enrolled in a Canadian mid-sized university completed a survey, provided their enrollment status over the next 6 years (regardless of whether they left university), and consented to have their grades and status provided by the Registrar. Overall, 79% of students graduated by Year 7 (44% in 4 years). The strongest predictor of graduation was first-year grades. Social engagement in the university also predicted graduation. Surprisingly, mental health was not a significant predictor of graduation. Only a minority of students may experience mental health difficulties to such an extent that it affects their ability to succeed at university.

A First-Year Seminar on Cryptography

Cryptologia ◽  
2013 ◽  
Vol 37 (4) ◽  
pp. 305-310 ◽  
Author(s):  
Darren Glass
Keyword(s):  
First Year ◽  
First Year Seminar

scholarly journals Thinking Through Improvisation: Do General Improvisation Studies Belong in a Liberal Arts Curriculum?

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Dominic Poccia
Keyword(s):  
Risk Taking ◽  
Liberal Arts ◽  
Creative Thinking ◽  
Reading Performance ◽  
First Year ◽  
Subjective Experiences ◽  
Arts Curriculum ◽  
Creative Problem ◽  
Liberal Arts Students ◽  
First Year Seminar

Thinking Through Improvisation implies two meanings: 1) carefully examining all that improvisation encompasses including how it is practiced, and 2) using improvisation to generate ideas or performances. Using a First Year Seminar course I taught for 20 years, I illustrate how a general course in improvisation can introduce students to improvisation as a way of thinking in diverse fields and can strengthen liberal arts skills in critical and creative thinking. Interdisciplinary and multicultural approaches are readily incorporated as are a range of activities including writing, critical reading, performance, and creative problem solving. Risk taking, trust, creativity, adaptability, teamwork, respect for knowledge, abstract and practical thinking and the joy of creative discovery are explored through discussion and practice of improvisation. Scientific explanations of improvisation are compared to subjective experiences of improvisational performance. These activities lay a groundwork for creative explorations of the discipline-oriented curriculum in the range of fields subsequently encountered by liberal arts students.  

scholarly journals Predictive Analysis of Higher Education Graduation and Retention in Saudi Arabia u sing Multinomial Logistic Regression

2021 ◽  
Vol 3 (6) ◽  
pp. 1-8
Author(s):  
Ahmed Bagabir ◽  
◽  
Mohammad Zaino ◽  
Ahmed Abutaleb ◽  
Ahmed Fagehi ◽  
...  
Keyword(s):  
Higher Education ◽  
Logistic Regression ◽  
Undergraduate Students ◽  
Degree Completion ◽  
Multinomial Logistic Regression ◽  
At Risk Students ◽  
Retention Rates ◽  
First Year ◽  
Important Indicator ◽  
Admissions Policy

It is suggested that this study contributes by establishing a robust methodology for analyzing the longitudinal outcomes of higher education. The current research uses multinomial logistic regression. To the knowledge of the authors, this is the first logistic regression analysis performed at Saudi higher education institutions. The study can help decision-makers take action to improve the academic performance of at-risk students. The analyses are based on enrollment and completion data of 5,203 undergraduate students in the colleges of engineering and medicine. The observation period was extended for ten academic years from 2010 to 2020. Four outcomes were identified for students: (i) degree completion on time, (ii) degree completion with delay, (iii) dropout, and (iv) still enrolled in programs. The objectives are twofold: (i) to study the present situation by measuring graduation and retention rates with benchmarking, and (ii) to determine the effect of twelve continuous and dummy predictors (covariates) on outcomes. The present results show that the pre-admission covariates slightly affect performance in higher education programs. The results indicate that the most important indicator of graduation is the student's achievement in the first year of the program. Finally, it is highly suggested that initiatives be taken to increase graduation and retention rates and to review the admissions policy currently in place.

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