Automatic coding of short text responses via clustering in educational assessment.

Autor/inn/en	Zehner, Fabian; Sälzer, Christine; Goldhammer, Frank
Titel	Automatic coding of short text responses via clustering in educational assessment.
Quelle	In: Educational and psychological measurement, 76 (2016) 2, S. 280-303Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei (1); PDF als Volltext (2) Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164415590022
URN	urn:nbn:de:0111-pedocs-149795
Schlagwörter	Methode; Testkonstruktion; Leistungsbeurteilung; Computerlinguistik; Automatisierung; Technologiebasiertes Testen; Antwort; Codierung; PISA (Programme for International Student Assessment)
Abstract	Automatic coding of short text responses opens new doors in assessment. We implemented and integrated baseline methods of natural language processing and statistical modelling by means of software components that are available under open licenses. The accuracy of automatic text coding is demonstrated by using data collected in the Programme for International Student Assessment (PISA) 2012 in Germany. Free text responses of 10 items with Formula responses in total were analyzed. We further examined the effect of different methods, parameter values, and sample sizes on performance of the implemented system. The system reached fair to good up to excellent agreement with human codings Formula Especially items that are solved by naming specific semantic concepts appeared properly coded. The system performed equally well with Formula and somewhat poorer but still acceptable down to Formula Based on our findings, we discuss potential innovations for assessment that are enabled by automatic coding of short text responses. (DIPF/Orig.).
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2019/3