Generation Quiz with Genetic Algorithm Based on Bloom's Taxonomy Classification in Serious Game Based Virtual Environments

被引：0

作者：

Rasim ^{[1
]}

Langi, Armein Z. R. ^{[1
]}

Rosmansyah, Yusep ^{[1
]}

Munir ^{[2
]}

机构：

[1] ITB, Sekolah Tekn Elekt & Informat, Bandung, Indonesia

[2] UPI, Pendidikan Ilmu Komputer, Bandung, Indonesia

来源：

2016 INTERNATIONAL CONFERENCE ON ICT FOR SMART SOCIETY (ICISS) | 2016年

关键词：

Question generation; genetic algorithms; serious game; VLE;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Learning with seorius game based virtual environments provide immersive and motivation. One aspect of learning is evaluation. But evaluation provides anxiety on the learner, as question that is too difficult. In this paper will describe how to generate questions in evaluation(quiz) based on bloom taxonomy with composition 25: 50: 25 for the types of questions C1, C2, and C3. The question generation used genetic algorithms and implemented in the virtual learning environment (VLE) through SLOODLE for 5th grades math course. System testing used compare genetic algorithm (GA) with random method. The result is the question composition of the generation of GA better than the generation of random method.

引用

页码：42 / 48

页数：7

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