Trickle or Torrent? A Novel Algorithmic Approach to Reclaim Successful Academic Writing in the Face of Artificial Intelligence
The emergence of artificial intelligence (AI) in academia has prompted various debates on the uses, threats, and limitations of tools that can create text for numerous academic purposes. Critics argue that these advancements may provide opportunities for cheating and plagiarism and even replace the...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Brock University
2024-02-01
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| Series: | Brock Education: a Journal of Educational Research and Practice |
| Online Access: | https://journals.library.brocku.ca/brocked/index.php/home/article/view/1127 |
| _version_ | 1797299659571462144 |
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| author | Donna Poade Russell M. Crawford |
| author_facet | Donna Poade Russell M. Crawford |
| author_sort | Donna Poade |
| collection | DOAJ |
| description |
The emergence of artificial intelligence (AI) in academia has prompted various debates on the uses, threats, and limitations of tools that can create text for numerous academic purposes. Critics argue that these advancements may provide opportunities for cheating and plagiarism and even replace the art of writing entirely. To reclaim the creativity and depth that academic writing holds, we propose both an innovative approach to safeguard the creativity and depth of academic writing and a scaffolded way to enhance success in terms of authenticity for the author and, by extension, meaning for the reader. This novel conceptual algorithmic trickle filter model aims to inform successful academic writing and embody the writer’s agency—a task too sophisticated for current AI tools. Our model provides a scaffolded decision-making process in a highly personal, flexible, and iterative individual writing development tool applied in a health-conscious way. We position this model as a step towards a pedagogic paradigm shift in reclaiming academic writing that, rather than competing with AI, doubles down on the personal self-evaluative aspects that academic writing offers both author and reader.
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| first_indexed | 2024-03-07T22:53:51Z |
| format | Article |
| id | doaj.art-f5c00e90d6314aa7be91ddef7009a69f |
| institution | Directory Open Access Journal |
| issn | 1183-1189 2371-7750 |
| language | English |
| last_indexed | 2024-03-07T22:53:51Z |
| publishDate | 2024-02-01 |
| publisher | Brock University |
| record_format | Article |
| series | Brock Education: a Journal of Educational Research and Practice |
| spelling | doaj.art-f5c00e90d6314aa7be91ddef7009a69f2024-02-23T08:00:01ZengBrock UniversityBrock Education: a Journal of Educational Research and Practice1183-11892371-77502024-02-0133110.26522/brocked.v33i1.1127Trickle or Torrent? A Novel Algorithmic Approach to Reclaim Successful Academic Writing in the Face of Artificial IntelligenceDonna Poade0Russell M. Crawford1https://orcid.org/0000-0002-4657-1576Cornwall Business School, Falmouth UniversityVice Chancellor’s Office, Falmouth University The emergence of artificial intelligence (AI) in academia has prompted various debates on the uses, threats, and limitations of tools that can create text for numerous academic purposes. Critics argue that these advancements may provide opportunities for cheating and plagiarism and even replace the art of writing entirely. To reclaim the creativity and depth that academic writing holds, we propose both an innovative approach to safeguard the creativity and depth of academic writing and a scaffolded way to enhance success in terms of authenticity for the author and, by extension, meaning for the reader. This novel conceptual algorithmic trickle filter model aims to inform successful academic writing and embody the writer’s agency—a task too sophisticated for current AI tools. Our model provides a scaffolded decision-making process in a highly personal, flexible, and iterative individual writing development tool applied in a health-conscious way. We position this model as a step towards a pedagogic paradigm shift in reclaiming academic writing that, rather than competing with AI, doubles down on the personal self-evaluative aspects that academic writing offers both author and reader. https://journals.library.brocku.ca/brocked/index.php/home/article/view/1127 |
| spellingShingle | Donna Poade Russell M. Crawford Trickle or Torrent? A Novel Algorithmic Approach to Reclaim Successful Academic Writing in the Face of Artificial Intelligence Brock Education: a Journal of Educational Research and Practice |
| title | Trickle or Torrent? A Novel Algorithmic Approach to Reclaim Successful Academic Writing in the Face of Artificial Intelligence |
| title_full | Trickle or Torrent? A Novel Algorithmic Approach to Reclaim Successful Academic Writing in the Face of Artificial Intelligence |
| title_fullStr | Trickle or Torrent? A Novel Algorithmic Approach to Reclaim Successful Academic Writing in the Face of Artificial Intelligence |
| title_full_unstemmed | Trickle or Torrent? A Novel Algorithmic Approach to Reclaim Successful Academic Writing in the Face of Artificial Intelligence |
| title_short | Trickle or Torrent? A Novel Algorithmic Approach to Reclaim Successful Academic Writing in the Face of Artificial Intelligence |
| title_sort | trickle or torrent a novel algorithmic approach to reclaim successful academic writing in the face of artificial intelligence |
| url | https://journals.library.brocku.ca/brocked/index.php/home/article/view/1127 |
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