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Research Article Open access CC BY 4.0

Challenges in Using Computerized Systems for Admission into Colleges of Education

Solomon Ofori Jnr Gyane, Isaac Ampofo Atta Senior

Asian Journal of Research in Computer Science · pp. 48–60 · Published 20 Feb 2022

10.9734/ajrcos/2022/v13i230312

Abstract

In most educational institutions, the computerized selection system (CSS) consists of a collection of different hardware and software requiring disparate supporting infrastructures and offering little in the way of integration. However, university admission is no exception, but it is organized very differently throughout the world. Thus, the goal is to determine the challenges in the use of the computerized system for admission into colleges of education affiliated with the University of Cape Coast. The methodology for the study was a descriptive design with a quantitative method. The total population for the study was 255, with a sample size of 192 admission officers, quality assurance staff, and heads of departments. The results of the study show that one of the challenges of a computerized system for admission is that the system forces some candidates initially selected to grant their place in the list to others far behind. The study’s findings discovered a negative weak association between the challenges of using a computerized system for admission and its’ efficiency.

Colleges of education computerized selection system admission students efficiency

References (22)

  1. 1 Chapter 12: What does the Anthropocene hold for citizenship? [DOI]
  2. 2 Education and Social Change in Ghana [DOI]
  3. 3 Predicting success in medical school: a longitudinal study of common Australian student selection tools [DOI]
  4. 4 Formative and Summative Evaluation Techniques for Improvement of Learning Process
  5. 5 Implementation of computerized provider order entry in a neonatal intensive care unit: Impact on admission workflow [DOI]
  6. 6 Psychological Foundations of Education [DOI]
  7. 7 Sustainable Development Of Enterprises With Digitalization Of The Economic Management
  8. 8 Educational Test Approaches: The Suitability of Computer-Based Test Types for Assessment and Evaluation in Formative and Summative Contexts.
  9. 9 The process of multiattribute decision making: A case study of selecting applicants for a Ph.D. program [DOI]
  10. 10 Application in a Students’ Selection Problem [DOI]
  11. 11 The mystery of student selection: are there any selection criteria? [DOI]
  12. 12 Computerized School Selection and Placement System in Ghana: Challenges and The Way Forward [DOI]
  13. 13 Family background and educational opportunities in Ghana : a critical look at the secondary school selection mechanism--the common entrance examination
  14. 14 Computerized School Selection and Placement System in The Greater Accra Region of Ghana: Perception of Stakeholders [DOI]
  15. 15 Delving into Undergraduate Students’ Choice of Higher Education in Uganda [DOI]
  16. 16 Advanced Deadline-Sensitive Scheduling Approaches in Cloud Computing [DOI]
  17. 17 Select: A Decision Support System for Computer Family Selection [DOI]
  18. 18 Reliability and Efficiency of Computerized Systems for Admission into Colleges of Education Affiliated with the University of Cape Coast [DOI]
  19. 19 Preadmission Student Advising: A Prototype Computerized System [DOI]
  20. 20 International Journal of Advanced Science and Technology [DOI]
  21. 21 COLLEGE ADMISSIONS AND THE STABILITY OF MARRIAGE [DOI]
  22. 22 Asian Journal of Research in Computer Science [DOI]

Cited by 1

The Impact of Computerized School Selection and Placement Systems on Effective Service Delivery: A Post Implementation Assessment of Students' Placements Into Second‐Cycle Institutions in Ghana

Joshua Nii Akai Nettey, A. Owusu · Electronic Journal of Information Systems in Developing Countries · 2025

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