Automatic Generation and Ranking of Questions for Critical Review

Autor/inn/en	Liu, Ming; Calvo, Rafael A.; Rus, Vasile
Titel	Automatic Generation and Ranking of Questions for Critical Review
Quelle	In: Educational Technology & Society, 17 (2014) 2, S.333-346 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1436-4522
Schlagwörter	Electronic Learning; Natural Language Processing; Questioning Techniques; Classification; Models; Writing (Composition); Citation Analysis; Statistical Analysis; Needs Assessment; Critical Reading; Higher Education; Qualitative Research + Suchen Sie Ihr Suchwort? Natürliche Sprache; Befragungstechnik; Fragetechnik; Classification system; Klassifikation; Klassifikationssystem; Analogiemodell; Schreibübung; Citation; Citations; Zitatenanalyse; Zitat; Statistische Analyse; Bedarfsermittlung; Kritisches Lesen; Hochschulbildung; Hochschulsystem; Hochschulwesen; Qualitative Forschung
Abstract	Critical review skill is one important aspect of academic writing. Generic trigger questions have been widely used to support this activity. When students have a concrete topic in mind, trigger questions are less effective if they are too general. This article presents a learning-to-rank based system which automatically generates specific trigger questions from citations for critical review support. The performance of the proposed question ranking models was evaluated and the quality of generated questions is reported. Experimental results showed an accuracy of 75.8% on the top 25% ranked questions. These top ranked questions are as useful for self-reflection as questions generated by human tutors and supervisors. A qualitative analysis was also conducted using an information seeking question taxonomy in order to further analyze the questions generated by humans. The analysis revealed that explanation and association questions are the most frequent question types and that the explanation questions are considered the most valuables by student writers. (As Provided).
Anmerkungen	International Forum of Educational Technology & Society. Athabasca University, School of Computing & Information Systems, 1 University Drive, Athabasca, AB T9S 3A3, Canada. Tel: 780-675-6812; Fax: 780-675-6973; Web site: http://www.ifets.info
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10