Design Alternatives to AI Proctoring Software
Name
kumar-aditi11-sm-idm-2021-thesis.pdf
Description
Thesis PDF
Size
3 MB
Format
Adobe PDF
Checksum (MD5)
e758becb712d0b57f28b0b3884304e91
Author(s)
Kumar, Aditi
Advisor(s)
Hu, Tony
Date Issued
June 2021
Publisher
Massachusetts Institute of Technology
Abstract
With the increasing popularity of and avenues for online learning, a considered approach to academic integrity has emerged as a priority. Artificial intelligence (AI) enabled proctoring software has been touted as a solution. However, it relies on imperfect and biased technology. For this dissertation, the author partnered with an online education company to provide alternatives to AI proctoring that include assessment design and administration, honour code, and in-house authentication. In addition to recommending the alternatives, a phased implementation plan was also created.
MIT Department
System Design and Management Program.
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In Copyright - Educational Use Permitted
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