Please use this identifier to cite or link to this item:
http://hdl.handle.net/11189/10208| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Molopa, Selema | en_US |
| dc.contributor.author | Cronjé, Johannes C. | en_US |
| dc.date.accessioned | 2025-10-23T11:55:35Z | - |
| dc.date.available | 2025-10-23T11:55:35Z | - |
| dc.date.issued | 2024 | - |
| dc.identifier.citation | Molopa, S. & Cronjé, J.C. 2024. Artificial intelligence-based literature review adaptation. South African Journal of Libraries and Information Science, 90(2): 1-18. [https://doi.org/10.7553/90-1-2390] | en_US |
| dc.identifier.issn | 0256-8861 | - |
| dc.identifier.issn | 2304-8263 (Online) | - |
| dc.identifier.uri | http://hdl.handle.net/11189/10208 | - |
| dc.description.abstract | Artificial intelligence (AI) has emerged as a promising tool for enhancing the efficiency and precision of the literature review process, a cornerstone of academic research. This study aims to explore the potentialities and limitations of AI in augmenting academic research methodologies with a critical eye towards both the facilitation and the fidelity of academic rigour. This investigation not only catalogues existing AI tools tailored for literature reviews, but also critically evaluates their application, setting a precedent for a nuanced discourse on the symbiosis between AI and traditional research methodologies. This exploration is poised to contribute to the evolving dialogue on AI's role in research, situating itself at the nexus of methodological innovation and scholarly integrity. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Library and Information Association of South Africa (LIASA) | en_US |
| dc.relation.ispartof | South African Journal of Libraries and Information Science | en_US |
| dc.subject | Artificial intelligence | en_US |
| dc.subject | AI integration in research | en_US |
| dc.subject | AI tools for literature review | en_US |
| dc.subject | Research methodologies | en_US |
| dc.title | Artificial intelligence-based literature review adaptation | en_US |
| dc.identifier.doi | https://doi.org/10.7553/90-1-2390 | - |
| dc.type | Article | en_US |
| Appears in Collections: | Edu - Journal Articles (DHET subsidised) | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Artificial_intelligence_based_literature_review_adaptation.pdf | 1.79 MB | Adobe PDF | View/Open |
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