Title: Construction of a computer-assisted English language testing model

Authors: Honglei Zhu

Addresses: School of International Studies, Hunan Institute of Technology, Hengyang, Hunan, China; School of Languages, Literacies and Translation, Universiti Sains Malaysia, Penang, Malaysia

Abstract: Many large English tests in China have gradually completed the transformation from the traditional mode to computer intelligence, but many problems still exist. This paper takes the English major students of a school as the research object, and discusses the influence of traditional mode and computer aided method on students' language proficiency test results. By studying the comparative data of English majors in a teacher training university, this paper concludes that: the overall speed of marking is optimised at more than 81%, which greatly saves the time spent on marking, reduces operational errors; greatly improves the efficiency of marking, and reduces the difficulty of marking work. It can be seen that the application of computer-aided technology brings a great improvement to the overall reliability and validity of English speaking tests. At the same time, it can be seen that the application of computer-aided technology has greatly improved the overall reliability and validity of the oral English test, making the test more objective, fair and rigorous, and more credible. The satisfaction rate of students is 81.5% and that of teachers is 60%.

Keywords: computer-aided technology; English language testing; data mining; DM; online analytical processing; OLAP.

DOI: 10.1504/IJCSYSE.2025.149219

International Journal of Computational Systems Engineering, 2025 Vol.9 No.2/3/4, pp.214 - 219

Received: 18 Apr 2023
Accepted: 23 Aug 2023
Published online: 20 Oct 2025 *

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