The AI-knowledge management nexus for sustainable learning: A PLS-SEM study
Integrating artificial intelligence (AI) with knowledge management (KM) practices presents a promising avenue for advancing sustainable learning in higher education. However, empirical research exploring this synergy remains limited, particularly in developing countries. This study aimed to investig...
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| Format: | Article |
| Language: | English |
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Hong Kong Bao Long Accounting & Secretarial Limited
2024-12-01
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| Series: | Knowledge Management & E-Learning: An International Journal |
| Subjects: | |
| Online Access: | https://www.kmel-journal.org/ojs/index.php/online-publication/article/view/612 |
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| author | Sashi Ranjan V. P. Joshith K. Kavitha Shana Chittakath |
| author_facet | Sashi Ranjan V. P. Joshith K. Kavitha Shana Chittakath |
| author_sort | Sashi Ranjan |
| collection | DOAJ |
| description | Integrating artificial intelligence (AI) with knowledge management (KM) practices presents a promising avenue for advancing sustainable learning in higher education. However, empirical research exploring this synergy remains limited, particularly in developing countries. This study aimed to investigate the impact of AI-enhanced KM practices on sustainable learning outcomes in Indian higher education institutions. A proposed model was tested using a sample of 401 student responses, analysed through partial least square equation modelling (PLS-SEM) using SmartPLS 4. The findings revealed that AI-driven knowledge creation, storage, discovery, and prediction significantly contribute to sustainable learning when implemented ethically. Conversely, AI-based knowledge capture practices and tailored knowledge delivery did not significantly influence sustainable learning environments. The model exhibited substantial explanatory power regarding sustainable learning outcomes. This study contributes to the “knowledge-based view” and “absorptive capacity” theory by exploring the integration of AI and KM in education. Furthermore, it advances the “responsible AI paradigm” by addressing ethical considerations in AI-enhanced educational systems. The results provide a foundation for future research on the interplay between AI, KM, and sustainable learning, offering valuable insights for transforming educational practices and promoting lifelong learning in higher education. |
| format | Article |
| id | doaj-art-aedf57e33c22431c92eb761f0ebe36e0 |
| institution | Kabale University |
| issn | 2073-7904 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Hong Kong Bao Long Accounting & Secretarial Limited |
| record_format | Article |
| series | Knowledge Management & E-Learning: An International Journal |
| spelling | doaj-art-aedf57e33c22431c92eb761f0ebe36e02025-02-03T09:12:02ZengHong Kong Bao Long Accounting & Secretarial LimitedKnowledge Management & E-Learning: An International Journal2073-79042024-12-0116481183710.34105/j.kmel.2024.16.037The AI-knowledge management nexus for sustainable learning: A PLS-SEM studySashi Ranjan0https://orcid.org/0009-0000-3188-1013V. P. Joshith1https://orcid.org/0000-0002-5573-2335K. Kavitha2https://orcid.org/0009-0001-5628-0270Shana Chittakath3https://orcid.org/0009-0000-1672-4394Central University of Kerala, IndiaCentral University of Kerala, IndiaCentral University of Kerala, IndiaCentral University of Kerala, IndiaIntegrating artificial intelligence (AI) with knowledge management (KM) practices presents a promising avenue for advancing sustainable learning in higher education. However, empirical research exploring this synergy remains limited, particularly in developing countries. This study aimed to investigate the impact of AI-enhanced KM practices on sustainable learning outcomes in Indian higher education institutions. A proposed model was tested using a sample of 401 student responses, analysed through partial least square equation modelling (PLS-SEM) using SmartPLS 4. The findings revealed that AI-driven knowledge creation, storage, discovery, and prediction significantly contribute to sustainable learning when implemented ethically. Conversely, AI-based knowledge capture practices and tailored knowledge delivery did not significantly influence sustainable learning environments. The model exhibited substantial explanatory power regarding sustainable learning outcomes. This study contributes to the “knowledge-based view” and “absorptive capacity” theory by exploring the integration of AI and KM in education. Furthermore, it advances the “responsible AI paradigm” by addressing ethical considerations in AI-enhanced educational systems. The results provide a foundation for future research on the interplay between AI, KM, and sustainable learning, offering valuable insights for transforming educational practices and promoting lifelong learning in higher education.https://www.kmel-journal.org/ojs/index.php/online-publication/article/view/612ai-based knowledge managementsustainable learningpls-semknowledge sharinghigher education |
| spellingShingle | Sashi Ranjan V. P. Joshith K. Kavitha Shana Chittakath The AI-knowledge management nexus for sustainable learning: A PLS-SEM study Knowledge Management & E-Learning: An International Journal ai-based knowledge management sustainable learning pls-sem knowledge sharing higher education |
| title | The AI-knowledge management nexus for sustainable learning: A PLS-SEM study |
| title_full | The AI-knowledge management nexus for sustainable learning: A PLS-SEM study |
| title_fullStr | The AI-knowledge management nexus for sustainable learning: A PLS-SEM study |
| title_full_unstemmed | The AI-knowledge management nexus for sustainable learning: A PLS-SEM study |
| title_short | The AI-knowledge management nexus for sustainable learning: A PLS-SEM study |
| title_sort | ai knowledge management nexus for sustainable learning a pls sem study |
| topic | ai-based knowledge management sustainable learning pls-sem knowledge sharing higher education |
| url | https://www.kmel-journal.org/ojs/index.php/online-publication/article/view/612 |
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