Identifying Predictors of Academic Success for Part-time Students at Polytechnic Institutes in Malaysia

Norhayati Ibrahim, Steven A. Freeman and Mack C. Shelley
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Norhayati Ibrahim: Iowa State University, USA
Steven A. Freeman: Iowa State University, USA
Mack C. Shelley: Iowa State University, USA

International Journal of Adult Vocational Education and Technology (IJAVET), 2011, vol. 2, issue 4, 1-16

Abstract: A central challenge for higher education today is to understand the diversity and complexity of nontraditional students’ life experiences and how these factors influence their academic success. To better understand these issues, this study explored the role of demographic characteristics and employment variables in predicting the academic success of part-time students at four polytechnic institutes in Malaysia. Demographic characteristics studied included respondent’s age, gender, marital status, number of children, parent’s educational level, and financial resources. Employment variables assessed were number of years working, job relatedness to the program, job satisfaction, and monthly salary. A total of 614 part-time students completed the survey. Results indicated that being an older student, being female, paying for their own education, and having high job satisfaction were statistically significant predictors of part-time students’ academic success. Understanding the effects of demographic characteristics and employment variables on students’ academic success might help administrators and educators to develop teaching and learning processes, support services, and policies to enhance part-time students’ academic success.

Date: 2011
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