Trickle or Torrent? A Novel Algorithmic Approach to Reclaim Successful Academic Writing in the Face of Artificial Intelligence
Saved in:
| Title: | Trickle or Torrent? A Novel Algorithmic Approach to Reclaim Successful Academic Writing in the Face of Artificial Intelligence |
|---|---|
| Language: | English |
| Authors: | Donna Poade, Russell M. Crawford (ORCID |
| Source: | Brock Education: A Journal of Educational Research and Practice. 2024 33(1). |
| Availability: | 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 |
| Peer Reviewed: | Y |
| Page Count: | 14 |
| Publication Date: | 2024 |
| Document Type: | Journal Articles Reports - Descriptive |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Academic Language, Artificial Intelligence, Algorithms, Personal Autonomy, Writing Attitudes, Well Being, Writing Strategies, Higher Education |
| ISSN: | 1183-1189 |
| Abstract: | 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. |
| Abstractor: | As Provided |
| Entry Date: | 2024 |
| Accession Number: | EJ1417078 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1417078 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
|---|---|
| Header | DbId: eric DbLabel: ERIC An: EJ1417078 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Trickle or Torrent? A Novel Algorithmic Approach to Reclaim Successful Academic Writing in the Face of Artificial Intelligence – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Donna+Poade%22">Donna Poade</searchLink><br /><searchLink fieldCode="AR" term="%22Russell+M%2E+Crawford%22">Russell M. Crawford</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-4657-1576">0000-0002-4657-1576</externalLink>) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Brock+Education%3A+A+Journal+of+Educational+Research+and+Practice%22"><i>Brock Education: A Journal of Educational Research and Practice</i></searchLink>. 2024 33(1). – Name: Avail Label: Availability Group: Avail Data: 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 – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 14 – Name: DatePubCY Label: Publication Date Group: Date Data: 2024 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Descriptive – Name: Audience Label: Education Level Group: Audnce Data: <searchLink fieldCode="EL" term="%22Higher+Education%22">Higher Education</searchLink><br /><searchLink fieldCode="EL" term="%22Postsecondary+Education%22">Postsecondary Education</searchLink> – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Academic+Language%22">Academic Language</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Personal+Autonomy%22">Personal Autonomy</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+Attitudes%22">Writing Attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Well+Being%22">Well Being</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+Strategies%22">Writing Strategies</searchLink><br /><searchLink fieldCode="DE" term="%22Higher+Education%22">Higher Education</searchLink> – Name: ISSN Label: ISSN Group: ISSN Data: 1183-1189 – Name: Abstract Label: Abstract Group: Ab Data: 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. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2024 – Name: AN Label: Accession Number Group: ID Data: EJ1417078 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1417078 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 14 Subjects: – SubjectFull: Academic Language Type: general – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Algorithms Type: general – SubjectFull: Personal Autonomy Type: general – SubjectFull: Writing Attitudes Type: general – SubjectFull: Well Being Type: general – SubjectFull: Writing Strategies Type: general – SubjectFull: Higher Education Type: general Titles: – TitleFull: Trickle or Torrent? A Novel Algorithmic Approach to Reclaim Successful Academic Writing in the Face of Artificial Intelligence Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Donna Poade – PersonEntity: Name: NameFull: Russell M. Crawford IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1183-1189 Numbering: – Type: volume Value: 33 – Type: issue Value: 1 Titles: – TitleFull: Brock Education: A Journal of Educational Research and Practice Type: main |
| ResultId | 1 |
