Affiliation:
1. Henry Hart Professor of Management
2. Summerfield Johnston Professor of Management, School of Business Administration, The University of Tennessee at Chattanooga
Abstract
The influence of students' race and gender on their academic achievement has been the subject of numerous studies along with the development of a number of models to predict students' performance in a particular area of study (e.g., mathematics). These models, even though generally useful, tend to lose their validity when applied to a specific course. In the current investigation, a model has been developed to predict students' success and failure in a particular course (i.e., the first business statistics course). Through the use of discriminant analysis, this model was able to predict students' success and failure with approximately 72% accuracy. The model can be used to identify potential underachievers from the beginning of semesters. With such information, students who have been categorized as possible under-achievers can be monitored closely and provided with additional help in the form of tutorials and special classes, or workshops to improve their performance.
Subject
Applied Mathematics,Applied Psychology,Developmental and Educational Psychology,Education
Cited by
4 articles.
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