Enhancing Career Development Utilizing LLM for Targeted Learning Pathway 


Vol. 13,  No. 9, pp. 460-467, Sep.  2024
https://doi.org/10.3745/TKIPS.2024.13.9.460


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  Abstract

Targeted career development is critical for student success but is often lacking for underrepresented students at many public higher-education institutions due to insufficient career counseling resources. We propose an innovative career development tool leveraging Large Language Models (LLMs) to enhance student career prospects through three steps: (1) identifying relevant jobs by analyzing resumes, (2) pinpointing skill gaps using external resources such as classroom assignments, in addition to resumes, and (3) suggesting customized learning paths. Our tool accurately matches jobs in real-world settings, identifies true skill gaps while reducing false positives, and provides learning paths that receive high satisfaction scores from faculty. Future research will enhance the solution's capabilities by incorporating diverse external resources and leveraging advancements in LLM technology to better support early-stage career seekers.

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  Cite this article

[IEEE Style]

M. Patel, V. Tyagi, I. H. J. Song, "Enhancing Career Development Utilizing LLM for Targeted Learning Pathway," The Transactions of the Korea Information Processing Society, vol. 13, no. 9, pp. 460-467, 2024. DOI: https://doi.org/10.3745/TKIPS.2024.13.9.460.

[ACM Style]

Mahisha Patel, Vishakha Tyagi, and Isabel Hyo Jung Song. 2024. Enhancing Career Development Utilizing LLM for Targeted Learning Pathway. The Transactions of the Korea Information Processing Society, 13, 9, (2024), 460-467. DOI: https://doi.org/10.3745/TKIPS.2024.13.9.460.