Year: 2024
Type: conference-paper
Abstract: The current methods used for generating test papers are mainly traditional manual methods and recently emerged AI based methods. The former has problems such as low efficiency, high error rate, and incomplete coverage of test questions; the latter has disadvantages such as high complexity and poor practicality. A multiple objective-oriented automatic test paper generation method is proposed to address the above issues. This method adopts a cyclic iterative algorithm to enable the test paper to match multiple teaching objectives. These teaching objectives include comprehensive coverage of teaching knowledge points, support for various types of test questions, controllable difficulty levels of various question types, and low reuse rates of test questions. Based on this method, a multiple objective-oriented automatic test paper generation system is designed and implemented using MySQL database and Python language. The system operation results have verified that the test paper generation method is practical and has achieved good results, meeting the design requirements.
Authors: Yanfang Gao, Shideng Ma, Jia Tian
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4409965754