Of mice and pens: A discrete choice experiment on student preferences for assignment systems in economics

Darragh Flannery, Brendan Kennelly, Edel Doherty, Stephen Hynes and John Considine

International Review of Economics Education, 2013, vol. 14, issue C, 57-70

Abstract: With the development of online open courses, tailoring assignment systems to help students achieve their individual learning objectives will be possible. It is important therefore, from both an educational and business perspective, to understand more about how students value the different characteristics of assignment systems. The main contribution of this paper is the use of a discrete choice experiment to elicit students’ preferences for various possible attributes of alternative assignment systems. Our results indicate that students have the strongest preference for assignment systems containing questions that have a high relevance for exam preparation. Our results also indicate that there is a high degree of heterogeneity within the student cohort in their preferences towards various attributes of assignment systems.

Keywords: Discrete choice experiment; Willingness to pay; Latent class model; Assignment systems; Student preferences (search for similar items in EconPapers)
JEL-codes: A20 A22 (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1477388013000224
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ireced:v:14:y:2013:i:c:p:57-70

DOI: 10.1016/j.iree.2013.04.019

Access Statistics for this article

International Review of Economics Education is currently edited by Guest, Ross

More articles in International Review of Economics Education from Elsevier
Bibliographic data for series maintained by Catherine Liu ().