Assessing Student-Generated Design Justifications in Virtual Engineering Internships
Assessing Student-Generated Design Justifications in Virtual Engineering Internships
复制标题
评估虚拟工程实习中学生设计的合理性
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
A. Graesser
中科院分区：
文献类型：
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作者：
V. Rus;D. Gautam;Z. Swiecki;D. Shaffer;A. Graesser
Engineering virtual internships are simulations where students role play as interns at fictional companies, working to create engineering designs. To improve the scalability of these virtual internships, a reliable automated assessment system for tasks submitted by students is necessary. Therefore, we propose a machine learning approach to automatically assess student generated textual design justifications in two engineering virtual internships, Nephrotex and RescuShell . To this end, we compared two major categories of models: domain expert-driven vs. general text analysis models. The models were coupled with machine learning algorithms and evaluated using 10-fold cross validation. We found no quantitative differences among the two major categories of models, domain expert-driven vs. general text analysis, although there are major qualitative differences as discussed in the paper.
