Enhancing Talent Development using AI-Driven Curriculum-Industry Integration

• Published in: ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL
• Main Authors: Kamaruddin, Norhaslinda; Wahab, Abdul; Harris Jr, Frederick C.
• Format: Proceedings Paper
• Language: English
• Published: E-IPH LTD UK 2023
• Subjects: Environmental Sciences & Ecology
• Online Access: https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001106458600042

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.