Archive Details

Year 2024
Volume/Issue/Review Month Volume 1 | Special Issue | October
Title Leveraging AI to predict training outcomes
Authors Saroj Kumar Sahoo, Padmalita Routray
Broad area Leveraging AI to predict training outcomes
Abstract This study examines the relationship between artificial intelligence (AI) and training and development, emphasizing how AI can improve learning outcomes, maximize skill development, and customize training experiences. This study investigates several AI-driven technologies and approaches used in training and development contexts through an extensive examination of recent research and case studies. These include natural language processing (NLP) for training support, simulation-based training environments, adaptive training platforms, individualized learning algorithms, and predictive analytics for performance enhancement. The study also addresses how AI may be used to address obstacles, change conventional training paradigms, and promote an ongoing learning culture in businesses. The goal of the current study is to determine how AI is applied, what its benefits are, and what obstacles it faces in the field of training and development. The method used in this paper is analyses of the literature findings on importance of training and development with support of AI.In conclusion, it provides perspectives on strategies for application and emphasizing chances to use AI to improve training and development programs in the digital age.AI has a big impact on governments, people, and society.Consequently, the process of implementation has greater room for improvement.
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