Enhancing Talent Development using AI-Driven Curriculum-Industry Integration
The specific hiring needs render low-skill-based job-seeking invalid in coping with the nation's economic development. There needs to be more graduate readiness for the industry's needs. This paper explores the transformative potential of Artificial Intelligence (AI) in fostering a symbiot...
| Published in: | ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL |
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| Main Authors: | , , , |
| Format: | Proceedings Paper |
| Language: | English |
| Published: |
E-IPH LTD UK
2023
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| Subjects: | |
| Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001106458600042 |
| Summary: | The specific hiring needs render low-skill-based job-seeking invalid in coping with the nation's economic development. There needs to be more graduate readiness for the industry's needs. This paper explores the transformative potential of Artificial Intelligence (AI) in fostering a symbiotic relationship between academic curricula and industry demands, aimed at building a robust talent pool for the future. A new hiring selection model that matches industry-identified hiring parameters with the knowledge and skills obtained from the university. By aligning educational programs with real-world challenges and market needs, this novel approach seeks to propel the growth of talents. |
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| ISSN: | 2398-4287 |
| DOI: | 10.21834/e-bpj.v8i26.5129 |