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
收藏
页码：197 / 203
页数：7
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