Literaturnachweis - Detailanzeige
| Autor/inn/en | Rus, Vasile; Gautam, Dipesh; Swiecki, Zachari; Shaffer, David W.; Graesser, Arthur C. |
|---|---|
| Institution | International Educational Data Mining Society |
| Titel | Assessing Student-Generated Design Justifications in Engineering Virtual Internships [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (EDM) (9th, Raleigh, NC, Jun 29-Jul 2, 2016). |
| Quelle | (2016), (6 Seiten)
PDF als Volltext kostenfreie Datei |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Monographie |
| Schlagwörter | Engineering Education; Internship Programs; Computer Simulation; Models; Experiments; Artificial Intelligence; Man Machine Systems; Comparative Analysis |
| Abstract | 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. [This paper was funded in part by the Office of the Vice Chancellor for Research and Graduate Education at the University of Wisconsin-Madison.] [For the full proceedings, see ED592609.] (As Provided). |
| Anmerkungen | International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: http://www.educationaldatamining.org |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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