INFLUENCE OF ARTIFICIAL INTELLIGENCE ON CHEATING DURING EXAMINATIONS IN OKIGWE EDUCATION ZONE 1

Authors

  • UBAH, IMMACULATA ADANMA Department of Guidance & Counselling, Faculty of Education, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria. Author

DOI:

https://doi.org/10.70382/sjestp.v10i8.070

Keywords:

Artificial Intelligence, Cheating, Examination Malpractice

Abstract

The present study investigated on the influence of artificial intelligence on cheating during examinations in Okigwe Education Zone I. The researcher formulated three hypothesis. The design of the study is descriptive survey. The population of the study is 5,206 senior secondary school students. The sample of the study is 521 SS2 students selected by application of multistage random sampling method. Two instruments was used in data collection namely: Student Examination Record Questionnaire (SERQ) and Computer Usage Questionnaire (CUQ). The instruments was adopted from Nwosu (2025). The reliability of the instrument were: 0.73 for SERQ and 0.79 for CUQ. Data collected were analyzed using mean and standard deviation t-test of mean difference was used in testing the hypotheses. The findings of the study are that: the extent of examination malpractice is significant; artificial intelligence is extensively employed in examination malpractice and that the use of artificial intelligence devices in examination is significant. The implication of this findings is that many students pass examinations without reasonable effort, rendering their certificates useless. Based on the findings and implications the researcher recommend that school authorities should work harder toward dictating methods adopted by students in cheating for the purpose of reducing examination malpractice in secondary schools.

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Published

07-11-2025

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Articles

How to Cite

UBAH, IMMACULATA ADANMA. (2025). INFLUENCE OF ARTIFICIAL INTELLIGENCE ON CHEATING DURING EXAMINATIONS IN OKIGWE EDUCATION ZONE 1. Journal of Educational Studies Trends and Practice, 10(8). https://doi.org/10.70382/sjestp.v10i8.070

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