Intelligent diagnostic feedback for online multiple-choice questions

被引：0
|
作者：
R. Guo
D. Palmer-Brown
S. W. Lee
F. F. Cai
机构：
[1] London Metropolitan University,Faculty of Life Sciences and Computing
来源：
Artificial Intelligence Review | 2014年 / 42卷
关键词：
Learning behaviour; Diagnostic feedback; Neural networks; On-line multiple-choice questions;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
When students attempt multiple-choice questions (MCQs) they generate invaluable information which can form the basis for understanding their learning behaviours. In this research, the information is collected and automatically analysed to provide customized, diagnostic feedback to support students’ learning. This is achieved within a web-based system, incorporating the snap-drift neural network based analysis of students’ responses to MCQs. This paper presents the results of a large trial of the method and the system which demonstrates the effectiveness of the feedback in guiding students towards a better understanding of particular concepts.
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页码：369 / 383
页数：14
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