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ERIC Number: EJ1417078
Record Type: Journal
Publication Date: 2024
Pages: 14
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-1183-1189
Trickle or Torrent? A Novel Algorithmic Approach to Reclaim Successful Academic Writing in the Face of Artificial Intelligence
Donna Poade; Russell M. Crawford
Brock Education: A Journal of Educational Research and Practice, v33 n1 n166-179 2024
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.
Brock University Faculty of Education. 500 Glenridge Avenue, Saint Catharines, ON, L2S 3A1 Canada. Tel: 905-688-5550 ext. 3733; e-mail: brocked@brocku.ca; Web site: http://brocked.ed.brocku.ca
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A