Enhancing Talent Development Using AI-Driven Curriculum-Industry Integration


  • Norhaslinda Kamaruddin Universiti Teknologi MARA
  • Abdul Wahab Abdul Rahman Kulliyah of Information and Communication Technology, International Islamic University Malaysia, Kuala Lumpur, Malaysia
  • Frederick C. Harris Jr. Department of Computer Science and Engineering, University of Nevada at Reno, Nevada, United States




Talent Development, Artificial Intelligence, Graduate Employability, Industry Needs


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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How to Cite

Kamaruddin, N., Abdul Rahman, A. W., & C. Harris Jr., F. (2023). Enhancing Talent Development Using AI-Driven Curriculum-Industry Integration. Environment-Behaviour Proceedings Journal, 8(26), 377–382. https://doi.org/10.21834/e-bpj.v8i26.5129