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International Journal of Advanced Research
Article . 2022 . Peer-reviewed
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ZENODO
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ZENODO
Article . 2022
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ZENODO
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CORRELATION BETWEEN THE COMPUTER BASED ASSESSMENT AND STUDENTS EXAM ANXIETY

Authors: Hope I. Ogar;

CORRELATION BETWEEN THE COMPUTER BASED ASSESSMENT AND STUDENTS EXAM ANXIETY

Abstract

Exam anxiety is an essential component of the educational assessment that has not received much research attention. The integration of information communication technology (ICT) for evaluation purposes in the contemporary education ecosystem of Nigeria has increased. The computer-based assessment (CBA) is an ICT framework that has increasingly been used in educational institutions to assess learners learning outcomes. There are intimations that the computer-based assessment platform exerts anxiousness among students. The present study examined the CBA as a correlate of examination anxiety among students. A convenient sample of one hundred and fourteen students pooled from public and private tertiary institutions in Anambra State, Nigeria, participated in the study. The respondents completed a self-report measure of the test anxiety scale. The finding revealed a significant positive relationship between the CBA and exam anxiety. The result and recommendations are discussed.

Keywords

ICT CBA Exam Anxiety Students Tertiary Institution

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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