Innovative Student Placement and Selection in Higher Education Institutions: A Case Study of SMU

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper reports on the findings of how the use of technology in the higher education institutions can minimize data inconsistency, increase end-user productivity, and have better data integration. Automation of business processes can also be used to the benefit of decision making in the selection and placement of the students. This will assist in attracting best first-time entry University students, eradicating human errors, and enforcing rules and regulations as stimulated in student admission and selection policy document. School of Science and Technology at Sefako Makgatho Health Sciences University (SMU) has for years, been admitting students who apply for admission by manually allocating space and rejecting applications. This paper presents an innovative software solution for student selection and placement. The solution processed the same end-user data faster and generated accurate and valuable information for good decision making as compared to the manual system method. The results showed that the manual system had discrepancies and caused difficult-to-trace errors that produced incorrect and erroneous results.

Original languageEnglish
Title of host publication2018 Open Innovations Conference, OI 2018
EditorsCecil Ouma
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages19-25
Number of pages7
ISBN (Electronic)9781538653166
DOIs
Publication statusPublished - 14 Nov 2018
Event2018 Open Innovations Conference, OI 2018 - Johannesburg, South Africa
Duration: 3 Oct 20185 Oct 2018

Publication series

Name2018 Open Innovations Conference, OI 2018

Conference

Conference2018 Open Innovations Conference, OI 2018
Country/TerritorySouth Africa
CityJohannesburg
Period03/Oct/1805/Oct/18

Keywords

  • Artificial intelligence
  • Decision-making
  • Disruptive technology
  • Innovative software application
  • Manual system
  • Statistical methods
  • Student admission
  • Student selection
  • Sustaining technology

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