Research on the Integration of Local Intangible Cultural Heritage into College English Teaching Based on Output Orientation

Abstract

In response to the dual dilemma of the discontinuity in the inheritance of local intangible cultural heritage (ICH) and the emphasis on language over culture in traditional university English teaching, this study takes the output oriented approach (POA) as the theoretical core to explore a systematic integration path between local ICH and university English teaching. The study used literature research
method to sort out the theoretical basis, and conducted case analysis with Suzhou Pingtan and Foshan Xingshi as cases. A questionnaire
survey was conducted on more than 800 college students and 50 college English teachers (SPSS 26.0 data analysis). Research and construct a three in one teaching objective of "language ability+cultural literacy+communication ability", design a four in one integration
model of "objective content method evaluation", and implement teaching practice through the POA "drive facilitate evaluation" process.
The results showed that the English writing and speaking abilities of the practice group students improved by an average of 26% -30%,
cultural identity was significantly enhanced, 80% of students were able to accurately interpret the cultural connotations of intangible cultural heritage in English, and some intangible cultural heritage English works were adopted by local intangible cultural heritage institutions for overseas dissemination. Research has confirmed that the POA oriented integration model can achieve two-way empowerment of
"improving English teaching quality and international dissemination of intangible cultural heritage", providing a practical paradigm for the
reform of foreign language teaching and the inheritance of traditional culture in universities. At the same time, it points out the limitations
of narrow sample size and short research period, and in the future, we can expand the practical dimension and deepen resource development by combining intelligent technology.