Assessment of affecting factors for higher education admission process

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Abstract

Education is the most important aspect of human life. Today, many streams are available to study. It has created a huge opportunity for a student to enroll in any course by fulfilling definite criteria. The courses are managed by various institutes, which are affiliated with particular University. In some courses, students have the choice to enroll without fulfilling any academic criteria. Some students are choosy in joining particular institute or course. Their choice for University or Institute depends upon specific parameters they might have predefined. In this paper, we have studied various parameters, which can influence the decision of a student to take admission in a particular course or institute. To extract essential parameters, we have conducted a survey among students who are studying in different courses and institutes. It is observed from the survey that Job Placement and Good Teaching are very effective parameters in influencing student admission decision-making process. It also reveals that sometimes, the institute is not important when a student is interested in a particular course. This research also guides the institutes or Universities to work upon such parameters to increase the enrollment of students in different courses. To validate this research, the survey from 208 students representing different institutes of India, is collected and analyzed. After analyzing the data collected from the survey, the influential parameters are decided. A graph-based approach is applied to identify the relationship between the varieties of parameters. The results obtained from the graph justify that individual parameters do not affect at large scale in student admission decision-making process while the association of multiple parameters may influence their admission decision-making process.

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Patel, H. I., Patel, C., & Trivedi, A. (2019). Assessment of affecting factors for higher education admission process. International Journal of Engineering and Advanced Technology, 9(1), 63–67. https://doi.org/10.35940/ijeat.A1042.109119

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