Abstract

The primary purpose of this study was to evaluate the effectiveness of two crucial components-admission and induction processes concerning student satisfaction in private higher education. The significance of addressing students' learning and support needs in higher education is rising and changing, the focus is on their satisfaction, and it has been extended before and after completing studies. Therefore, the study sought student satisfaction during private higher education's admission and induction processes. Using a quantitative approach, we collected data from 713 undergraduate students at Oxford Business College. For this purpose, a questionnaire was designed comprised of fort questions mainly focusing on admission and induction, including demographic factors. The data was analysed using SPSS version 26. Descriptive statistics and log-linear analysis were used to find significant associations between different variables. Moreover, the variables retained in the model were separately used as the outcome/target variable using a decision tree classifier- CHAID (Chi-square Automatic Interaction Detection) method to find the best feature and attain meaningful insights about the data. The research also examined the overall satisfaction to identify students' needs and measure the level of satisfaction with admission and induction. The study revealed high satisfaction levels in admission and induction; however, specific areas in the induction, both academic and general, where there is a lack of information; as a result, developments could be required to ensure the delivery of best practices in these areas. Keywords: Admission, Induction, Student Satisfaction, Private Higher Education

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