Using Multiple Accounts for Harvesting Solutions in MOOCs
The study presented in this paper deals with copying answers in MOOCs. Our findings show that a significant fraction of the certificate earners in the course that we studied have used what we call harvesting accounts to find correct answers that they later submitted in their main account, the accou...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for Computing Machinery (ACM)
2016
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| Online Access: | http://hdl.handle.net/1721.1/101136 https://orcid.org/0000-0002-7445-9338 https://orcid.org/0000-0003-2676-6912 https://orcid.org/0000-0001-5697-1496 |
| _version_ | 1826203972476600320 |
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| author | Ruiperez-Valiente, Jose A. Alexandron, Giora Chen, Zhongzhou Pritchard, David E. |
| author2 | Massachusetts Institute of Technology. Department of Physics |
| author_facet | Massachusetts Institute of Technology. Department of Physics Ruiperez-Valiente, Jose A. Alexandron, Giora Chen, Zhongzhou Pritchard, David E. |
| author_sort | Ruiperez-Valiente, Jose A. |
| collection | MIT |
| description | The study presented in this paper deals with copying answers in MOOCs. Our findings show that a significant fraction of the certificate earners in the course that we studied have used what we call harvesting accounts to find correct answers that they later submitted in their main account, the account for which they earned a certificate. In total, ~2.5% of the users who earned a certificate in the course obtained the majority of their points by using this method, and ~10% of them used it to some extent. This paper has two main goals. The first is to define the phenomenon and demonstrate its severity. The second is characterizing key factors within the course that affect it, and suggesting possible remedies that are likely to decrease the amount of cheating. The immediate implication of this study is to MOOCs. However, we believe that the results generalize beyond MOOCs, since this strategy can be used in any learning environments that do not identify all registrants. |
| first_indexed | 2024-09-23T12:46:49Z |
| format | Article |
| id | mit-1721.1/101136 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T12:46:49Z |
| publishDate | 2016 |
| publisher | Association for Computing Machinery (ACM) |
| record_format | dspace |
| spelling | mit-1721.1/1011362022-09-28T09:59:47Z Using Multiple Accounts for Harvesting Solutions in MOOCs Ruiperez-Valiente, Jose A. Alexandron, Giora Chen, Zhongzhou Pritchard, David E. Massachusetts Institute of Technology. Department of Physics Pritchard, David E. Ruiperez-Valiente, Jose A. Alexandron, Giora Chen, Zhongzhou Pritchard, David E. The study presented in this paper deals with copying answers in MOOCs. Our findings show that a significant fraction of the certificate earners in the course that we studied have used what we call harvesting accounts to find correct answers that they later submitted in their main account, the account for which they earned a certificate. In total, ~2.5% of the users who earned a certificate in the course obtained the majority of their points by using this method, and ~10% of them used it to some extent. This paper has two main goals. The first is to define the phenomenon and demonstrate its severity. The second is characterizing key factors within the course that affect it, and suggesting possible remedies that are likely to decrease the amount of cheating. The immediate implication of this study is to MOOCs. However, we believe that the results generalize beyond MOOCs, since this strategy can be used in any learning environments that do not identify all registrants. Madrid (Spain: Region) (eMadrid Grant S2013/ICE-2715) Spain. Ministerio de Economia y Competitividad (Grant RESET TIN2014-53199-C3-1-R) 2016-02-09T16:41:51Z 2016-02-09T16:41:51Z 2016-04 Article http://purl.org/eprint/type/ConferencePaper 978-1-4503-3726-7 http://hdl.handle.net/1721.1/101136 Ruiperez-Valiente, Jose A., Giora Alexandron, Zhongzhou Chen, and David E. Pritchard. "Using Multiple Accounts for Harvesting Solutions in MOOCs." Third Annual ACM Conference on Learning at Scale (April 2016). https://orcid.org/0000-0002-7445-9338 https://orcid.org/0000-0003-2676-6912 https://orcid.org/0000-0001-5697-1496 en_US http://learningatscale.acm.org/las2016/accepted-papers/ Proceedings of the Third Annual ACM Conference on Learning at Scale Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery (ACM) Alexandron |
| spellingShingle | Ruiperez-Valiente, Jose A. Alexandron, Giora Chen, Zhongzhou Pritchard, David E. Using Multiple Accounts for Harvesting Solutions in MOOCs |
| title | Using Multiple Accounts for Harvesting Solutions in MOOCs |
| title_full | Using Multiple Accounts for Harvesting Solutions in MOOCs |
| title_fullStr | Using Multiple Accounts for Harvesting Solutions in MOOCs |
| title_full_unstemmed | Using Multiple Accounts for Harvesting Solutions in MOOCs |
| title_short | Using Multiple Accounts for Harvesting Solutions in MOOCs |
| title_sort | using multiple accounts for harvesting solutions in moocs |
| url | http://hdl.handle.net/1721.1/101136 https://orcid.org/0000-0002-7445-9338 https://orcid.org/0000-0003-2676-6912 https://orcid.org/0000-0001-5697-1496 |
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