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Bridging Academia and Industry: Machine Learning-Driven Insights into the Importance of Research Skills for Employability

Year: 2025

Type: article

Abstract: This study explores the critical role of research skills in enhancing employability by bridging the gap between academia and industry. Using machine learning-driven insights, the research analyzes how research-oriented competencies such as problem-solving, data analysis, and innovation contribute to career readiness and job performance. The study employs predictive models to assess the relationship between students’ research engagement and their employment outcomes. Results highlight that candidates with strong research backgrounds demonstrate higher adaptability, decision-making ability, and industry relevance. The findings provide valuable implications for educators, employers, and policymakers to integrate research-driven skill development into employability frameworks.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17513270

Author: Praveen Singh Tomar

Language: English

Topic: Higher Education and Employability

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDGs: Decent work and economic growth, Quality education

Open Access status: green

OpenAlex ID: W7103900058

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