AI in employee development: techniques, Tools, benefits, constraints, and future impact
By: Chowdhry, Rohit R
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Material type:
BookPublisher: Indian Journal of Training and Development Description: 53(1-4), Jan-Dec, 2023: p.12-22.Subject(s): AI-driven employee, Augmented reality (AR), Virtual reality (VR)| Item type | Current location | Call number | Vol info | Status | Date due | Barcode |
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Articles
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Indian Institute of Public Administration | 53(1-4), Jan-Dec, 2023: p.12-22 | Available | AR136603 |
The integration of AI into employee development is revolutionising traditional methods, offering enhanced efficiency, personalisation, and effectiveness. AI-driven employee development employs various tools and techniques such as personalised learning plans, real-time feedback, chatbots, virtual coaches, and AIenhanced performance management systems. These innovations provide numerous benefits, including customised learning paths, immediate support, continuous improvement, and data-driven decisionmaking. AI’s impact on roles in employee development is significant. HR professionals will increasingly focus on AI implementation and strategy, ensuring ethical use and maximising AI benefits. Learning and development specialists will evolve to curate and personalise learning experiences, leveraging AI tools for greater effectiveness. Managers will utilise AI-driven insights for performance management and coaching, fostering employee growth and engagement. Additionally, employees will take on a more proactive role in their development, guided by AI-driven recommendations and personalised learning paths. The future of AI in employee development holds immense potential, promising advanced personalisation, integration with augmented reality (AR) and virtual reality (VR), enhanced collaboration, and the creation of continuous learning ecosystems. AI will enable context-aware learning, emotionally intelligent interactions, and immersive simulations, transforming traditional training methods. – Reproduced
https://istd.in/files/journals/IJTD-2023-Jan-Dec.pdf


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