2026-09-19T13:32:58Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1394772022-01-15T03:29:42Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Hu, Tony
Kumar, Aditi
System Design and Management Program.
2022-01-14T15:13:42Z
2022-01-14T15:13:42Z
2021-06
2021-06-25T20:20:16.797Z
https://hdl.handle.net/1721.1/139477
0000-0002-7949-9208
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.
S.M.
Massachusetts Institute of Technology
In Copyright - Educational Use Permitted
Copyright retained by author(s)
https://rightsstatements.org/page/InC-EDU/1.0/
Design Alternatives to AI Proctoring Software
Thesis
application/pdf
Master
Master of Science in Engineering and Management
Publication
unknown
unknown
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