Peer assessment for massive open online courses (MOOCs)

Authors

  • Hoi K. Suen Pennsylvania State University

DOI:

https://doi.org/10.19173/irrodl.v15i3.1680

Abstract

The teach-learn-assess cycle in education is broken in a typical massive open online course (MOOC). Without formative assessment and feedback, MOOCs amount to information dump or broadcasting shows, not educational experiences. A number of remedies have been attempted to bring formative assessment back into MOOCs, each with its own limits and problems. The most widely applicable approach for all MOOCs to date is to use peer assessment to provide the necessary feedback. However, unmoderated peer assessment results suffer from a lack of credibility. Several methods are available today to improve on the accuracy of peer assessment results. Some combination of these methods may be necessary to make peer assessment results sufficiently accurate to be useful for formative assessment. Such results can also help to facilitate peer learning, online discussion forums, and may possibly augment summative evaluation for credentialing.

Author Biography

Hoi K. Suen, Pennsylvania State University

Educational Psychology

Distinguished Professor

Published

2014-06-16

How to Cite

Suen, H. K. (2014). Peer assessment for massive open online courses (MOOCs). The International Review of Research in Open and Distributed Learning, 15(3). https://doi.org/10.19173/irrodl.v15i3.1680

Issue

Section

Technical Notes

Publication Facts

Metric
This article
Other articles
Peer reviewers 
3
2.4

Reviewer profiles  N/A

Author statements

Author statements
This article
Other articles
Data availability 
N/A
16%
External funding 
No
32%
Competing interests 
N/A
11%
Metric
This journal
Other journals
Articles accepted 
86%
33%
Days to publication 
251
145

Indexed in

Editor & editorial board
profiles
Academic society 
N/A
Publisher 
Athabasca University Press