Abstract

The primary objective of this paper is to help institutions respond to the stipulation of the Higher Education Opportunity Act of 2008 by adopting cost-effective academic integrity solutions without compromising the convenience and flexibility of online learning. Current user authentication solutions such as user ID and password, security questions, voice recognition, or fingerprint identification are not infallible and may violate students’ rights to privacy or cause undue interruptions to their efforts in performing assessment tasks. Existing authentication solutions will be evaluated for their cost effectiveness in preventing fraud and cheating while ensuring learner identity and honesty. Emerging technologies in the form of biometrics, surveillance systems and predictive analytics will be examined to provide insights into the future of e-authentication for ensuring the academic integrity of online learning.

Document Type

Article

Publication Date

3-2017

Notes/Citation Information

Published in Online Learning Journal, v. 21, issue 1.

Copyright © 2017 Online Learning Journal

As a condition of publication, the author agrees to apply the Creative Commons – Attribution International 4.0 (CC-BY) License to OLJ articles. See: https://creativecommons.org/licenses/by/4.0/.

This licence allows anyone to reproduce OLJ articles at no cost and without further permission as long as they attribute the author and the journal. This permission includes printing, sharing and other forms of distribution.

Digital Object Identifier (DOI)

https://doi.org/10.24059/olj.v21i1.843

Funding Information

This study was presented in the 8th Annual Emerging Technologies for Online Learning International Symposium, April 22-24, 2015, with the support of the eLearning Innovation Initiative Grant at the University of Kentucky.

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