Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze and predict students' failure,…

Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze, and predict students' failure,…

Background and Context: Computer Science attrition rates (in the western world) are very concerning, with a large number of students failing to progress each year. It is well acknowledged that a significant factor of this attrition, is the students' difficulty to master the introductory programming module, often referred to as CS1. Objective: The…

Meeting the What Works Clearinghouse (WWC) attrition standard (or one of the attrition standards based on the WWC standard) is now an important consideration for researchers conducting studies that could potentially be reviewed by the WWC (or other evidence reviews). Understanding the basis of this standard is valuable for anyone seeking to meet…

In the United States, less than half of the students who enter into science, technology, engineering, and mathematics (STEM) undergraduate curricula as freshmen will actually graduate with a STEM degree. There is even greater disparity in the national STEM graduation rates of students from underrepresented groups with approximately three-fourths…

With research indicating that upwards of 50 percent of all new entering postsecondary education students are placed into remedial education and that students placed into remedial education are less likely to earn a postsecondary credential, policymakers and postsecondary leaders alike have committed themselves to transforming remedial education in…

Student retention is the field of institutional research that has (deservedly) had the most attention. Besides the models proposed by Tinto (1975, 1993), there have been many theoretical and applied papers on many aspects of student retention. These include demographic characteristics, scholastic scores, financial and residential considerations,…

This article describes the early outcomes of an ongoing project at the University of South Florida in Tampa that involves using a logistics regression formula derived from pre-matriculation characteristics to predict the risk of individual student attrition. In this piece, the authors will describe the results of the prediction formula and the…

This article presents a project intended to produce a model for predicting the risk of attrition of individual students enrolled at the University of South Florida. The project is premised upon the principle that college student attrition is as highly individual and personal as any other aspect of the college-going experience. Students make…

Engagement of the online learner is one approach to reduce attrition rates. Attrition rates for classes taught through distance education are 10-20% higher than classes taught in a face-to-face setting. This paper introduces a Model for Engagement and provides strategies to engage the online learner. The Model depicts various opportunities where…

Doctoral programs in the humanities and related social sciences are characterized by high attrition and long times to degree. In 1991 the Andrew W. Mellon Foundation launched the Graduate Education Initiative (GEI) to improve the quality of graduate programs and in turn reduce attrition and shorten time-to-degree. Over a 10-year period, the…

Introduces a model for estimating the amount of revenue a typical student will bring to an institution of higher education. The model uses event history analysis to analyze the length of time a typical student will remain enrolled, and then uses this estimate in combination with tuition numbers to arrive at revenue estimates. (EV)

Presents a tracking model for monitoring and reporting student transitions through the college years. Develops and illustrates the model by following a mythical class of 500 freshmen and 380 transfer students from matriculation to attrition or graduation. The model focuses on sequences of semesters rather than on freshman, sophomore, junior, and…

This paper examines several models of freshman seminar programs, reviews the assessment and research literature showing the efficacy of these programs, and discusses research emphases of the new National Center for the Study of the Freshman Year Experience at the University of South Carolina. (Author/MLW)

Intrusive interventions with second semester freshmen on probation is a concept of deliberate intervention in order to enhance student motivation to utilize structured assistant modes. A three-point theoretical model of intrusive advising is presented and an example of a successful framework used at Old Dominion University is described.…