Integrating Entrepreneurship Education Into Traditional Curricula to Promote Economic Growth and Job Creation Based on Deep Learning

Abstract

This study introduces a knowledge management model integrating deep learning into entrepreneurship education to boost competency development and institutional decision-making. It frames AI-supported education as an organizational learning system that converts learner activities, performance metrics, and project evidence into actionable knowledge for curriculum enhancement and mentorship. The research synthesizes perspectives from educators, students, AI experts, and policymakers, presenting pre/post-AI outcome indicators alongside a four-university cross-institutional analysis. Findings reveal improved learning performance and early entrepreneurship gains, with trained faculty, funding, and industry partnerships proving critical to scalability. The paper outlines a competency mapping framework and feedback-driven workflow, stressing explainability, fairness, equity, and digital divide reduction as prerequisites for responsible AI deployment.