Design Alternatives to AI Proctoring Software

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.

Name thesis:degree_name

Master

Department dc:contributor.department

System Design and Management Program.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2021

Author dc:creator

• Kumar, Aditi

Advisor dc:contributor.advisor

• Hu, Tony

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright retained by author(s)

Licence dc:rights.uri

• https://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/139477

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/139477