Impact of AI on Training Programs
Year: 2025
Type: article
Abstract: Using synthetic intelligence (AI) within studying software has greatly changed the way in which human beings and agencies conduct personnel schooling, know-how switching, and talent construction. This study explores the quantity to which AI primarily based gadgets and strategies—at the side of clever tutoring, adaptive gaining knowledge of systems, and computerized content material cloth creation—impact schooling software program overall performance, personalization, and scalability. The evaluation shows how AI increases pupil engagement, lowers training expenses, and permits actual-time overall performance comments via a verbal exchange of modern-day advancements and case research across sectors. However, it also discusses difficult problems consisting of facts, privacy concerns, algorithmic unfairness, and the desire for human intervention. The results suggest that although AI has a first-rate capacity for training, its complete cognizance requires reflective application and ethical concerns. AI facilitates the automation of administrative tasks, such as selection, organization, and presentation of content and assessment also allows trainees to focus on development. AI not only increases the efficiency of training programs but also reduces time and cost. In sectors such as pharmaceuticals, most companies have implemented AI-driven training systems to upgrade their skilled employees in drug development. Similarly, in the defines sector, smart training programs using AI techniques have been utilized to enhance skill acquisition. Artificial Intelligence (AI) also provides organizational learning as well as it also offer personalized, scalable and data driven solution for the problems. Through AI, the engagement and outcomes of the individual in training programs can be improved.
Authors: Khandekar, Shruti Dinesh, Auteur, Jane
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W6893474003
FWCI:
Cites:
Cited by:
Related to: