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Title: Optimisation of traditional cultural identity education strategies for ethnic minority college students under intelligent multimedia technology and cultural tourism

Authors: Chaofan Lei; Xiaoxiao Xue

Addresses: Mingde College, Henan University of Technology, Zhengzhou, 450001, China; Graduate School of Management, Postgraduate Centre, Management and Science University, Shah Alam, Selangor, Malaysia ' Mingde College, Henan University of Technology, Zhengzhou, 450001, China

Abstract: The purpose is to improve the identification of ethnic minorities with Chinese traditional culture and promote the development of Chinese traditional culture inheritance. Educational strategies are optimised from deep learning (DL) to strengthen the traditional cultural identity education of ethnic minorities. Based on this, firstly, according to the needs and interests of ethnic minority college students, the DL algorithm is used in traditional cultural identity education to establish the relationship between various disciplines. Finally, identity education is conducted in daily life to change the traditional didactic education means of passive learning to stimulate college students to learn and acquire traditional cultural knowledge actively. The results show that integrating DL into the traditional cultural identity education of ethnic minority college students can significantly stimulate students' interest in learning and improve their autonomous learning ability.

Keywords: new era; ethnic minority college students; traditional cultural identity education; intelligent multimedia technology; deep learning.

DOI: 10.1504/IJART.2026.155621

International Journal of Arts and Technology, 2026 Vol.16 No.9, pp.142 - 162

Received: 21 Mar 2026
Accepted: 10 May 2026
Published online: 07 Aug 2026 *