Research on College Students' Innovation and Entrepreneurship Education from The Perspective of Artificial Intelligence Knowledge-Based Crowdsourcing
Yufei Xie, Xiang Liu, Qizhong Yuan

TL;DR
This study explores how AI knowledge-based crowdsourcing can enhance college students' innovation and entrepreneurship education by analyzing its concepts, surveying students, and verifying their awareness and application of AI crowdsourcing in practical learning contexts.
Contribution
It introduces a novel integration of AI knowledge-based crowdsourcing into college entrepreneurship education, supported by empirical survey data.
Findings
College students' knowledge of AI crowdsourcing is positively linked to their innovation practices.
Students' application of AI crowdsourcing improves their entrepreneurial learning outcomes.
The study confirms the practical relevance of AI crowdsourcing in higher education entrepreneurship programs.
Abstract
Based on the practical process of innovation and entrepreneurship education for college students in the author's university, this study analyzes and deconstructs the key concepts of AI knowledge-based crowdsourcing on the basis of literature research, and analyzes the objective fitting needs of combining AI knowledge-based crowdsourcing with college students' innovation and entrepreneurship education practice through a survey and research of a random sample of college students, and verifies that college students' knowledge and application of AI knowledge-based crowdsourcing in the learning and practice of innovation and entrepreneurship The study also verifies the awareness and application of AI knowledge-based crowdsourcing knowledge by university students in the learning and practice of innovation and entrepreneurship.
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Taxonomy
TopicsImpact of AI and Big Data on Business and Society
