Title: Design and implementation of computer adaptive test system based on big data

Authors: Cundong Tang; Li Chen; Zhiping Wang; Yi Wang; Wusi Yang

Addresses: College of Information Science and Technology, Northwest University, Xi'an 710127, Shaanxi, China ' College of Information Science and Technology, Northwest University, Xi'an 710127, Shaanxi, China ' School of Computer and Software, Nanyang Institute of Technology, Nanyang 473004, Henan, China ' College of Information Science and Technology, Northwest University, Xi'an 710127, Shaanxi, China ' College of Computer Science, Xianyang Normal University, Xi'an 712099, Shaanxi, China

Abstract: This paper first reviewed the analysis of elements of computer adaptive testing, and then analysed the operation of computer adaptive testing system, system functional structure, database design and functional module design. Then the application of big data in the design and implementation of computer adaptive test system was proposed, and the maximum information method was analysed and integrated to improve the planning and implementation of computer adaptive test, so as to verify the hidden links and values behind data and data tables. According to experiments and surveys, the big data and maximum information method were applied to the construction of computer adaptive test system, and a new type of computer adaptive test system was built. Compared with the traditional test system, this new type of test system had 33% higher satisfaction.

Keywords: computer adaptive test system; big data; open computer science; maximum information method.

DOI: 10.1504/IJCSYSE.2026.151365

International Journal of Computational Systems Engineering, 2026 Vol.10 No.1/2/3/4, pp.276 - 284

Received: 14 Nov 2023
Accepted: 17 Jan 2024
Published online: 26 Jan 2026 *

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