Impact of Artificial Intelligence on Personalised Training and Professional Development of Employees

Abstract

Personalised, data-driven learning experiences made possible by artificial intelligence (AI) have revolutionised professional development and employee training. The current study looks at how employee’s professional development and individualised training are affected by artificial intelligence. AI-driven personalisation of training materials, AI-based performance evaluation and feedback and AI-enabled learning support systems are the three main AI-driven components that are the subject of this study. Employee professional development is regarded as the dependent variable. This includes career advancement, skill improvement, knowledge improvement, training efficacy and job performance improvement.

A self-designed well-structured questionnaire using a five-point Likert scale was designed to collect primary data from employees working in organizations that utilize AI-based training systems. The Friedman Rank Test is used to evaluate the relative effectiveness of AI factors, correlation analysis is used to evaluate the relationship between professional development and AI-driven training factors, regression analysis is used to assess the impact of AI components on employee professional development and descriptive statistics are used to examine the degree of AI adoption.

The findings are expected to provide empirical evidence on the effectiveness of AI-driven Personalised training systems in enhancing employee growth and organizational performance. In order to optimise professional development outcomes, the study also provides useful recommendations for enhancing AI-based training techniques. This study offers an organised analytical framework for upcoming research on AI-enabled employee training and adds to the expanding corpus of literature on AI applications in HRD.