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arXiv 1507.02439cs.AIcs.CY
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Automated Matchmaking to Improve Accuracy of Applicant Selection for University Education System

Durban University of Technology(德班理工大学);North Maharashtra University(北马哈拉施特拉大学);University of New Brunswick(新不伦瑞克大学)

Oludayo O. Olugbara, Manish Joshi, Michael M. Modiba, Virendrakumar C. Bhavsar

英文摘要:

The accurate applicant selection for university education is imperative to ensure fairness and optimal use of institutional resources. Although various approaches are operational in tertiary educational institutions for selecting applicants, a novel method of automated matchmaking is explored in the current study. The method functions by matching a prospective students skills profile to a programmes requisites profile. Empirical comparisons of the results, calculated by automated matchmaking and two other selection methods, show matchmaking to be a viable alternative for accurate selection of applicants. Matchmaking offers a unique advantage that it neither requires data from other applicants nor compares applicants with each other. Instead, it emphasises norms that define admissibility to a programme. We have proposed the use of technology to minimize the gap between students aspirations, skill sets and course requirements. It is a solution to minimize the number of students who get frustrated because of mismatched course selection.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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