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 dissertati...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
Massachusetts Institute of Technology
2022
|
| Online Access: | https://hdl.handle.net/1721.1/139477 |
| _version_ | 1811085010533351424 |
|---|---|
| author | Kumar, Aditi |
| author2 | Hu, Tony |
| author_facet | Hu, Tony Kumar, Aditi |
| author_sort | Kumar, Aditi |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T13:01:33Z |
| format | Thesis |
| id | mit-1721.1/139477 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T13:01:33Z |
| publishDate | 2022 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1394772022-01-15T03:29:42Z Design Alternatives to AI Proctoring Software Kumar, Aditi Hu, Tony System Design and Management Program. 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. 2022-01-14T15:13:42Z 2022-01-14T15:13:42Z 2021-06 2021-06-25T20:20:16.797Z Thesis https://hdl.handle.net/1721.1/139477 0000-0002-7949-9208 In Copyright - Educational Use Permitted Copyright retained by author(s) https://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology |
| spellingShingle | Kumar, Aditi Design Alternatives to AI Proctoring Software |
| title | Design Alternatives to AI Proctoring Software |
| title_full | Design Alternatives to AI Proctoring Software |
| title_fullStr | Design Alternatives to AI Proctoring Software |
| title_full_unstemmed | Design Alternatives to AI Proctoring Software |
| title_short | Design Alternatives to AI Proctoring Software |
| title_sort | design alternatives to ai proctoring software |
| url | https://hdl.handle.net/1721.1/139477 |
| work_keys_str_mv | AT kumaraditi designalternativestoaiproctoringsoftware |