Modeling Consumer GenAI for Enterprise L&D Applications: Demonstration of typical use cases

This article explores the application of generative artificial intelligence (GenAI) in learning and development (L&D) processes, specifically for enterprise training. The author discusses how L&D practitioners can use GenAI tools to drive a complete instructional design process, including training content development and the creation of typical L&D deliverables such as training documentation development, training need analysis, course outline, and lesson plan generation as well as training material development such as presentation slides, case scenarios, assessments, and self-learning content. The article also details how to leverage the power of GenAI tools as a trainer, assessor, and expert mentor. The author also shares a nine-step approach for L&D practitioners to achieve potential time-saving benefits using GenAI to create diverse training content. However, he cautions L&D leaders to consider broader implications, such as technology evolution, security and intellectual property risks, job impacts, and the need for careful implementation to ensure information and IP security.

Authors

Publication Details

Journal
eLearn
Published
2025-02-13
DOI
https://doi.org/10.1145/3718102.3690392
Primary Topic
Customer churn and segmentation
Type
article
Field-Weighted Citation Impact
0.00
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article

Modeling Consumer GenAI for Enterprise L&D Applications: Demonstration of typical use cases

Raman K. Attri
eLearn
Customer churn and segmentation
article

Modeling Consumer GenAI for Enterprise L&D Applications: Demonstration of typical use cases

Raman K. Attri
article en

Abstract

This article explores the application of generative artificial intelligence (GenAI) in learning and development (L&D) processes, specifically for enterprise training. The author discusses how L&D practitioners can use GenAI tools to drive a complete instructional design process, including training content development and the creation of typical L&D deliverables such as training documentation development, training need analysis, course outline, and lesson plan generation as well as training material development such as presentation slides, case scenarios, assessments, and self-learning content. The article also details how to leverage the power of GenAI tools as a trainer, assessor, and expert mentor. The author also shares a nine-step approach for L&D practitioners to achieve potential time-saving benefits using GenAI to create diverse training content. However, he cautions L&D leaders to consider broader implications, such as technology evolution, security and intellectual property risks, job impacts, and the need for careful implementation to ensure information and IP security.

eLearnVol. 2025(2)
Openalex Percentile: Top 96%
Customer churn and segmentation
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