AI in employee development: techniques, Tools, benefits, constraints, and future impact (Record no. 530828)
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| fixed length control field | 02131nam a22001457a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250716b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Chowdhry, Rohit R. |
| 245 ## - TITLE STATEMENT | |
| Title | AI in employee development: techniques, Tools, benefits, constraints, and future impact |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Indian Journal of Training and Development |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 53(1-4), Jan-Dec, 2023: p.12-22 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | AI-driven employee, Augmented reality (AR), Virtual reality (VR) |
| 9 (RLIN) | 55258 |
| 773 ## - HOST ITEM ENTRY | |
| Main entry heading | Indian Journal of Training and Development |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Item type | Articles |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent location | Current location | Date acquired | Serial Enumeration / chronology | Barcode | Date last seen | Koha item type |
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| Indian Institute of Public Administration | Indian Institute of Public Administration | 2025-07-16 | 53(1-4), Jan-Dec, 2023: p.12-22 | AR136603 | 2025-07-16 | Articles |