Innovative Models of Student Entrepreneurship Education Supported by Mobile Technology in Higher Education

Abstract

In the context of rapid globalization and digital transformation, entrepreneurship education has become a crucial component of higher education systems. With the swift advancement of mobile technology, leveraging its potential to support student entrepreneurship education has emerged as a significant area of inquiry. Mobile technology not only offers convenient access to learning resources but also fosters entrepreneurial interest and potential through diverse interactive means, enhancing students’ entrepreneurial capabilities and innovative thinking. Existing research highlights the notable advantages of mobile technology in education, particularly in resource accessibility and learning interaction. However, traditional studies often focus on the isolated functionalities of technology, lacking a systematic investigation into the overall innovation of entrepreneurship education models. Moreover, current methods show limitations in resource matching and personalized recommendations, failing to fully meet students’ diverse entrepreneurial needs. To address these gaps, this paper proposes an intelligent entrepreneurship resource matching model that integrates mobile interactive networks with attention mechanisms. The model consists of five key components: the knowledge embedding layer, attention-enhanced mobile interactive entrepreneurship resource propagation network, attention-based entrepreneurship resource knowledge graph convolutional network, vector fusion layer, and entrepreneurship resource intelligent matching prediction layer. This study not only enriches the theoretical understanding of the integration of entrepreneurship education and mobile technology but also provides practical guidance and reference for educators, offering significant application value.