Continuous learning and advancing technologies: a framework for professional development and training in artificial intelligence

Abstract

Purpose

The purpose of this article is to assist organizations with professional development and training by using Fink’s (2017) Taxonomy of Significant Learning (TSL) to engage employees with continuous learning, in the context of artificial intelligence (AI). By using TSL, employees engage in six interactive stages that stimulate cognitive and affective learning. This stimulation is highly imperative because employees must acquire and apply new knowledge, develop new attitudes, and change learning behavior to help organizations undergo endless changes shaped by technological advancements.

Design/methodology/approach

This article provides a structure on how to professionally develop and train an organization’s workforce in AI through the six tenets of the TSL model. It also provides guidance on analyzing situational factors and assessing employee learning.

Findings

This conceptual study reveals how organizations can advance employee thinking and shape employee behavior to prepare future leaders during technological shifts.

Practical implications

By integrating the TSL in professional development and training strategies, organizations can achieve employee outcomes that will grow and sustain organizations as technology continues to impact markets.

Originality/value

This paper contributes to existing literature by providing a systematic and quality approach to transform employees into active learners within advanced technological environments. In addition, this paper discusses assessment methods to evaluate the effectiveness of learning.

Citation

Billiot, T. (2023), "Continuous learning and advancing technologies: a framework for professional development and training in artificial intelligence", Development and Learning in Organizations, Vol. 37 No. 3, pp. 28-31. https://doi.org/10.1108/DLO-04-2022-0064