Employing genetic algorithms in electronic tests (intelligence subject) in distinguished schools

Eximia Pub Date : 2024-04-03 DOI:10.47577/eximia.v13i1.459
Hayder Mohammed Muslim
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Abstract

Conducting tests by extracting questions manually and using random methods of generating tests from question banks consumes a great deal of time and effort, The quality of the resulting tests is often inaccurate and the tests created may not exactly match the requirements that were previously formulated, This study focused on innovative ways to enhance the process of researching questions in ways that meet the extraction requirements and conditions that have been identified, This study proposes a genetic algorithm (GA) to generate multiple choice tests based on the difficulty levels of the questions and the extracted ratings, Experiments and analyzes with the proposed mutation operator demonstrated the success of the (GA) method with a very high percentage, An electronic system was designed to select and evaluate questions and their level of difficulty based on a genetic algorithm.
在优秀学校的电子测试(智力科目)中采用遗传算法
通过手动提取试题和使用随机方法从题库中生成试题来进行测试耗费了大量的时间和精力,所生成的测试的质量往往不准确,而且所创建的测试可能与之前制定的要求不完全一致,本研究的重点是用创新的方法来加强研究试题的过程,以满足已确定的提取要求和条件、本研究提出了一种遗传算法(GA),可根据试题的难易程度和提取的评分来生成多项选择测试,使用所提出的突变算子进行的实验和分析表明,(GA)方法的成功率非常高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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