Exploring self-regulated learning support for AI related work in an insurance firm
Self-regulated learning needs to be enhanced and supported for the sustainability of e-learning and skill development particularly in the context of workplace implementing artificial intelligence (AI). This study explores the support mechanism for SRL experienced by insurance agents in an insurance...
| Main Authors: | , , |
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| Format: | Book Section |
| Language: | English |
| Published: |
IEEE
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/112981/ http://psasir.upm.edu.my/id/eprint/112981/1/112981.pdf |
| _version_ | 1848866094787330048 |
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| author | Mohd Rasdi, Roziah Umar Baki, Nordahlia Mohd Rasdi, Roslina |
| author_facet | Mohd Rasdi, Roziah Umar Baki, Nordahlia Mohd Rasdi, Roslina |
| author_sort | Mohd Rasdi, Roziah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Self-regulated learning needs to be enhanced and supported for the sustainability of e-learning and skill development particularly in the context of workplace implementing artificial intelligence (AI). This study explores the support mechanism for SRL experienced by insurance agents in an insurance firm adopting AI technologies. The case study involves seven participants who were purposively selected based on the criteria of the study. Data were analysed using thematic analysis, and then triangulated and checked by members for trustworthiness and credibility. The themes that emerged are (i) training and development for agent; (ii) self-learning initiatives; (iii) knowledge sharing; and (iv) adaptation to change. To conclude, SRL practices require strong support from organisation in order to provide stimulating learning environment. In addition, individual agency would empower SRL and make learning more engaging and effective. |
| first_indexed | 2025-11-15T14:15:09Z |
| format | Book Section |
| id | upm-112981 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:15:09Z |
| publishDate | 2023 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1129812024-10-13T11:09:56Z http://psasir.upm.edu.my/id/eprint/112981/ Exploring self-regulated learning support for AI related work in an insurance firm Mohd Rasdi, Roziah Umar Baki, Nordahlia Mohd Rasdi, Roslina Self-regulated learning needs to be enhanced and supported for the sustainability of e-learning and skill development particularly in the context of workplace implementing artificial intelligence (AI). This study explores the support mechanism for SRL experienced by insurance agents in an insurance firm adopting AI technologies. The case study involves seven participants who were purposively selected based on the criteria of the study. Data were analysed using thematic analysis, and then triangulated and checked by members for trustworthiness and credibility. The themes that emerged are (i) training and development for agent; (ii) self-learning initiatives; (iii) knowledge sharing; and (iv) adaptation to change. To conclude, SRL practices require strong support from organisation in order to provide stimulating learning environment. In addition, individual agency would empower SRL and make learning more engaging and effective. IEEE 2023 Book Section PeerReviewed text en http://psasir.upm.edu.my/id/eprint/112981/1/112981.pdf Mohd Rasdi, Roziah and Umar Baki, Nordahlia and Mohd Rasdi, Roslina (2023) Exploring self-regulated learning support for AI related work in an insurance firm. In: 2023 World Engineering Education Forum - Global Engineering Deans Council (WEEF-GEDC). IEEE, pp. 1-7. ISBN 9798350316025 https://ieeexplore.ieee.org/document/10343803 10.1109/WEEF-GEDC59520.2023.10343803 |
| spellingShingle | Mohd Rasdi, Roziah Umar Baki, Nordahlia Mohd Rasdi, Roslina Exploring self-regulated learning support for AI related work in an insurance firm |
| title | Exploring self-regulated learning support for AI related work in an insurance firm |
| title_full | Exploring self-regulated learning support for AI related work in an insurance firm |
| title_fullStr | Exploring self-regulated learning support for AI related work in an insurance firm |
| title_full_unstemmed | Exploring self-regulated learning support for AI related work in an insurance firm |
| title_short | Exploring self-regulated learning support for AI related work in an insurance firm |
| title_sort | exploring self-regulated learning support for ai related work in an insurance firm |
| url | http://psasir.upm.edu.my/id/eprint/112981/ http://psasir.upm.edu.my/id/eprint/112981/ http://psasir.upm.edu.my/id/eprint/112981/ http://psasir.upm.edu.my/id/eprint/112981/1/112981.pdf |