Evaluation Test Generation Model Using Degrees of Difficulty and Keywords

被引：0

作者：

Popescu, Doru Anastasiu ^{[1
]}

Nastase, Mariana Madalina ^{[1
]}

机构：

[1] Univ Pitesti, Dept Math & Informat, Pitesti, Romania

来源：

INTELLIGENT TUTORING SYSTEMS, ITS 2022 | 2022年 / 13284卷

关键词：

Test generation; Genetic algorithm; Keywords; Difficulty;

D O I：

10.1007/978-3-031-09680-8_19

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

With the restrictions related to "face to face" teaching activities, they have developed in a way fast online and video teaching and evaluation mechanisms. In addition to the means developed on online evaluation-related platforms, many researchers have developed their test models. In this paper, we present a test generator model based on genetic algorithms. The tests are created starting from a certain degree of difficulty and a list of keywords that their questions must contain.

引用

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页码：197 / 203

页数：7

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