IEFInternational Education Forum3083-49022981-8605Bio-Byword Scientific Publishing Pty. Ltd.10.26689/ief.v3i12.13462ArticleReconstructing the University Employment Guidance Curriculum System through Digitalized Traditional Culturehttps://artdesignp.com/journal/IEF/3/12/10.26689/ief.v3i12.13462ZhangBo20253122025-12-31The current university employment guidance curriculum faces significant issues: homogenization of teaching materials, a lack of cultural depth, and insufficient digitalization. These problems may adversely impact students’ job readiness. In recent years, the digitalization of traditional culture has been rapidly developing as a prominent trend. By leveraging technologies like virtual reality and big data, elements of traditional culture, such as professional values and ethics, can be integrated into teaching and learning. This approach can enhance the appeal of the courses, broaden their dissemination, and strengthen students’ employability. Reconstructing a university employment guidance curriculum system that reflects its unique characteristics, while utilizing the process and features of traditional culture digitalization to reform and reorganize, will help resolve existing issues and achieve better educational outcomes. To validate this approach, this study conducts surveys and interviews with university career instructors and graduates to gather insights into course satisfaction, employment quality, and related information. Analysis of the collected data shows that integrating traditional cultural elements into digital course design—for instance, by developing interactive platforms or creating case-based teaching modules—can establish a distinctive curriculum system rooted in traditional culture, with the core objective of improving employment outcomes and achieving tangible results. In summary, this paper explores innovative approaches to enhancing university employment guidance curriculum. However, due to the currently limited adoption, numerous challenges remain in the curriculum reconstruction process.

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