Enhancing Examination Integrity: Comparing Intelligent Surveillance Systems verses Traditional Methods in Ogun State Universities

The burgeoning issue of examination malpractice in Nigerian universities has prompted the investigation into more effective surveillance solutions. This study addressed this persistent challenge by comparing the efficacy of Intelligent Surveillance Systems (ISS) with traditional surveillance method of curbing examination malpractices. Utilizing mixed research design (descriptive and experimental). Using a sample of 394 lecturers obtained from seven selected public and private universities in Ogun State, Nigeria the researcher carried out a survey to determine respondents’ perception on the use of ISS relative to traditional approach for controlling examination malpractices. Quantitative analysis (t-test and standard deviation) of data collected through a structured questionnaire, indicated that ISS significantly outperforms traditional methods in both detecting and controlling examination malpractices, as highlighted by statistical measures such as t-values and standard deviations values obtained. These findings suggest that ISS can play a crucial role in enhancing the integrity of examinations. The study recommends the adoption of ISS in universities in Ogun and other Nigerian states with similar challenges.

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Publication Details

Journal
KASU Journal of Computer Science
Published
2024-09-30
DOI
https://doi.org/10.47514/kjcs/2024.1.3.0016
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
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article

Enhancing Examination Integrity: Comparing Intelligent Surveillance Systems verses Traditional Methods in Ogun State Universities

Gbenga O. Ogunsanwo, ADENYUMA MERCY O., Olayiwola S. A, Odulaja G. O et al.
KASU Journal of Computer Science
Intelligent Tutoring Systems and Adaptive Learning
article

Enhancing Examination Integrity: Comparing Intelligent Surveillance Systems verses Traditional Methods in Ogun State Universities

Gbenga O. Ogunsanwo, ADENYUMA MERCY O., Olayiwola S. A, Odulaja G. O, Olusanya O. O
article en

Abstract

The burgeoning issue of examination malpractice in Nigerian universities has prompted the investigation into more effective surveillance solutions. This study addressed this persistent challenge by comparing the efficacy of Intelligent Surveillance Systems (ISS) with traditional surveillance method of curbing examination malpractices. Utilizing mixed research design (descriptive and experimental). Using a sample of 394 lecturers obtained from seven selected public and private universities in Ogun State, Nigeria the researcher carried out a survey to determine respondents’ perception on the use of ISS relative to traditional approach for controlling examination malpractices. Quantitative analysis (t-test and standard deviation) of data collected through a structured questionnaire, indicated that ISS significantly outperforms traditional methods in both detecting and controlling examination malpractices, as highlighted by statistical measures such as t-values and standard deviations values obtained. These findings suggest that ISS can play a crucial role in enhancing the integrity of examinations. The study recommends the adoption of ISS in universities in Ogun and other Nigerian states with similar challenges.

KASU Journal of Computer ScienceVol. 1(3)
Openalex Percentile: Top 84%
Intelligent Tutoring Systems and Adaptive Learning
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Enhancing Examination Integrity: Comparing Intelligent Surveillance Systems verses Traditional Methods in Ogun State Universities — Gbenga O. Ogunsanwo, ADENYUMA MERCY O., et al. · KASU Journal of Computer Science (2024) | TGRS Research Map | TGRS