Core Perspective - Cultural export is not only an important engine for enhancing the economic value of the cultural industry but also a global practice for the modern transformation of Chinese civilization [1] Group 1: Language and Cultural Transmission - Language plays a crucial role as a hub for translation and dissemination in cultural export, serving as a deep carrier of cultural values, thinking patterns, and aesthetic experiences [2] - The dual challenges of "translatability" and "perceptibility" must be addressed for Chinese culture to truly integrate into the global context, particularly regarding traditional concepts that lack direct Western equivalents [2] - Language programs in universities should develop classroom models focusing on "cultural symbols," "emotional narratives," and "value consensus" to enhance cultural transmission [2] Group 2: Educational Transformation and Curriculum Innovation - Cultural export drives the transformation and upgrading of language disciplines, necessitating a new set of professional skills and competencies for talent development [3] - Traditional language education often emphasizes systematic knowledge and basic skills, while neglecting cross-cultural communication, digital technology application, and overseas cultural project management [3] - Universities should foster students' proficiency in digital tools and encourage project-based practices to digitize, translate, and creatively disseminate traditional cultural resources [3] Group 3: Dual Empowerment and Technological Integration - A new model of dual empowerment should be explored, integrating digital humanities and artificial intelligence to promote the modern transformation of traditional cultural resources [4] - Effective feedback mechanisms should be established to ensure that overseas audience preferences are communicated back to local creative processes, facilitating a positive interaction between cultural production and dissemination [4] - Digital technologies provide new research paradigms for traditional culture, enabling the construction of systematic cultural knowledge graphs and enhancing the expression and dissemination of traditional culture through AI [4][5]