Investigating Copyright as a Mechanism for Combatting Unauthorised Student Academic File-Sharing in Higher Education: Findings from an Explorative Study
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| Title: | Investigating Copyright as a Mechanism for Combatting Unauthorised Student Academic File-Sharing in Higher Education: Findings from an Explorative Study |
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| Language: | English |
| Authors: | Christine Slade (ORCID |
| Source: | Journal of Academic Ethics. 2025 23(3):487-502. |
| Availability: | BioMed Central, Ltd. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://www.springer.com/gp/biomedical-sciences |
| Peer Reviewed: | Y |
| Page Count: | 16 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Copyrights, Shared Resources and Services, Web Sites, Access to Information, Archives, Integrity, Cheating, Universities, Foreign Countries, Ethics |
| Geographic Terms: | Australia |
| DOI: | 10.1007/s10805-024-09558-z |
| ISSN: | 1570-1727 1572-8544 |
| Abstract: | Academic file-sharing services encourage students to upload materials, sometimes their own study notes for example, but can also include copyrighted university documents, in exchange for access to downloading resources from a common repository. In this process, the lines between legitimate study help and academic misconduct are unclear. Integrity-based strategies to combat these transactions have been limited. Removal by copyright mechanisms has been identified as a potential approach but has been hampered by the enormity of the task and the resource intensity required to make an impact at scale. This explorative study at a large Australian university sought to remove a percentage of copyrighted material from two commonly used academic file-sharing websites and to understand the experience of users in uploading files. Findings from the study were encouraging and informative, resulting in a suite of initiatives being introduced across the institution to prevent uploading in the first instance as well as, where possible, addressing misconduct when it occurred. Limitations included that the study was only undertaken as one university and therefore does not represent the contexts of different institutions. Further, it only investigated two websites out of many available. Future research could explore the use of artificial intelligence (AI) by academic file-sharing services to retain existing users and attract new ones. This work provides a clearer picture of how an institution's copyrighted material is hosted on two academic file-sharing websites and offers an effective and potentially scalable copyright approach that could be adapted by other higher education institutions. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1485633 |
| Database: | ERIC |
| Abstract: | Academic file-sharing services encourage students to upload materials, sometimes their own study notes for example, but can also include copyrighted university documents, in exchange for access to downloading resources from a common repository. In this process, the lines between legitimate study help and academic misconduct are unclear. Integrity-based strategies to combat these transactions have been limited. Removal by copyright mechanisms has been identified as a potential approach but has been hampered by the enormity of the task and the resource intensity required to make an impact at scale. This explorative study at a large Australian university sought to remove a percentage of copyrighted material from two commonly used academic file-sharing websites and to understand the experience of users in uploading files. Findings from the study were encouraging and informative, resulting in a suite of initiatives being introduced across the institution to prevent uploading in the first instance as well as, where possible, addressing misconduct when it occurred. Limitations included that the study was only undertaken as one university and therefore does not represent the contexts of different institutions. Further, it only investigated two websites out of many available. Future research could explore the use of artificial intelligence (AI) by academic file-sharing services to retain existing users and attract new ones. This work provides a clearer picture of how an institution's copyrighted material is hosted on two academic file-sharing websites and offers an effective and potentially scalable copyright approach that could be adapted by other higher education institutions. |
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| ISSN: | 1570-1727 1572-8544 |
| DOI: | 10.1007/s10805-024-09558-z |
