Next generation of e-assessment: automatic generation of questions

被引：6

作者：

Alsubait, T. ^{[1
]}

Parsia, B. ^{[1
]}

Sattler, U. ^{[1
]}

机构：

[1] Univ Manchester, Sch Comp Sci, Manchester M13 9PL, Lancs, England

来源：

INTERNATIONAL JOURNAL OF TECHNOLOGY ENHANCED LEARNING | 2012年 / 4卷 / 3-4期

关键词：

future e-assessment; automatic question generation; ontology; analogy questions; similarity; corpus-based evaluation;

D O I：

10.1504/IJTEL.2012.051580

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

This paper provides a review of the state-of-the-art in automatic assessment generation. The paper focuses on and further develops methods for automatic generation of assessments from ontologies. We describe a novel approach and evaluate it by comparing it to other existing approaches. In addition, we report on our experience to evaluate the generated questions using a corpus-based method to simulate a real student trying to solve the questions.

引用

页码：156 / 171

页数：16