A modified model of peer support in asynchronous online introductory accounting: is it effective?

Duanping Hong, Stephanie Miller and Shannon Shumate

Accounting Education, 2024, vol. 33, issue 6, 887-905

Abstract: Low passing rates are common in asynchronous introductory accounting courses due to the challenging material and the online setting. While peer support involving knowledgeable peer assistants has been shown to improve face-to-face students’ performance, it is unknown whether it will be effective when used online. Another issue of traditional peer support is the low participation rate. This study implemented a modified peer support model that involved a direct peer assistant (DPA) actively engaging online introductory accounting students. We found that students with a DPA participated in substantially more peer-supported activities (PSAs), especially when their current exam performance was low. Further, PSA participants had more positive subsequent grade changes and visited learning and homework systems more frequently than non-participants. Overall, the study suggests that in asynchronous introductory accounting, peer support carefully designed to provide extra student engagement will achieve desired participation rates and increase student grades and effort.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/09639284.2023.2273815 (text/html)
Access to full text is restricted to subscribers.

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:taf:accted:v:33:y:2024:i:6:p:887-905

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAED20

DOI: 10.1080/09639284.2023.2273815

Access Statistics for this article

Accounting Education is currently edited by Richard Wilson

More articles in Accounting Education from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().