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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...

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Main Authors: Mohd Rasdi, Roziah, Umar Baki, Nordahlia, Mohd Rasdi, Roslina
Format: Book Section
Language:English
Published: IEEE 2023
Online Access:http://psasir.upm.edu.my/id/eprint/112981/1/112981.pdf
http://psasir.upm.edu.my/id/eprint/112981/
https://ieeexplore.ieee.org/document/10343803
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id my.upm.eprints.112981
record_format eprints
spelling my.upm.eprints.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
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
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.
format Book Section
author Mohd Rasdi, Roziah
Umar Baki, Nordahlia
Mohd Rasdi, Roslina
spellingShingle Mohd Rasdi, Roziah
Umar Baki, Nordahlia
Mohd Rasdi, Roslina
Exploring self-regulated learning support for AI related work in an insurance firm
author_facet Mohd Rasdi, Roziah
Umar Baki, Nordahlia
Mohd Rasdi, Roslina
author_sort Mohd Rasdi, Roziah
title 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_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_sort exploring self-regulated learning support for ai related work in an insurance firm
publisher IEEE
publishDate 2023
url http://psasir.upm.edu.my/id/eprint/112981/1/112981.pdf
http://psasir.upm.edu.my/id/eprint/112981/
https://ieeexplore.ieee.org/document/10343803
_version_ 1814054779022737408
score 13.211869

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