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Ahmed Abdullah Balhareth Reem Abd Omar Al-kamzy

Abstract

       The aim of the present study is to examine the effectiveness of designing a proposed adaptive electronic testing system in assessing students' cognitive ability and its role in increasing university students’ academic achievement through a comparison between the adaptive electronic tests and the traditional electronic tests in estimating cognitive ability using the maximum likelihood method and the rule of completing the test according to a standard score previously determined. The participants of the study consisted of 200 first-year students from five colleges at Adel University for the academic year 2023/2024. The findings of the study revealed that statistically significant differences at the level of α=0.05 between the average standard error for estimating the ability between the adaptive test and the linear test using the maximum likelihood method. It is also observed that statistically significant differences at the level of α = 0.05 between the mean scores of the experimental group, assessed using the adaptive test, and the control group, assessed using the linear test and in favor of the adaptive test, the previous findings is strong evidence of the effectiveness of adaptive test in improving students' academic achievement. Based on the findings, the study proposed some recommendations related to the topic, emphasizing the importance of integrating modern technology in assessment and highlighting the role of adaptive electronic test in advancing evaluation methods in higher education

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Keywords

Adaptive electronic testing, linear electronic testing, assessment, cognitive ability, academic achievement

Section
Articles
How to Cite
[1]
Balhareth, A.A. and Al-kamzy, R.A.O. trans. 2025. The Effectiveness of Designing an Adaptive E-Testing System in Assessing Cognitive Ability and Enhancing Academic Achievement: A Case Study at Al-Adel University, Yemen. Journal of Science and Technology. 30, 6 (May 2025). DOI:https://doi.org/10.20428/jst.v30i6.2815.

How to Cite

[1]
Balhareth, A.A. and Al-kamzy, R.A.O. trans. 2025. The Effectiveness of Designing an Adaptive E-Testing System in Assessing Cognitive Ability and Enhancing Academic Achievement: A Case Study at Al-Adel University, Yemen. Journal of Science and Technology. 30, 6 (May 2025). DOI:https://doi.org/10.20428/jst.v30i6.2815.