AI-Enabled Curriculum Innovation and Value-Shaping Education Practice with Jiangxi Characteristics: A Case Study of the Course Introduction to Chinese Culture
Generative artificial intelligence (AI) is transforming university teaching, yet how it can serve value-shaping education and the transmission of regional culture has received little attention. Taking Introduction to Chinese Culture, a compulsory course for translation undergraduates at East China Jiaotong University, as a case, this paper reports a three-year reform built on a “three-dimensional integration and four-directional driving” framework that fuses cultural knowledge, value guidance and English expression. Four measures were implemented: an AI-driven dynamic content system, a three-stage AI support system, a scenario-based practice system, and a Jiangxi-cultural transformation system. Evidence from course archives, student questionnaires, contest results and routine evaluations shows that the reform resolved the course’s four long-standing pain points, namely outdated and homogeneous content, the dual burden of cultural understanding and English expression, the gap between learning and use, and underused local cultural resources, while strengthening students’ cultural confidence, intercultural communicative competence and civic responsibility. The reform also demonstrates a route for converting regional cultural assets into teachable and exportable course content through bilingual compilation, studio-based practice and cooperation with local cultural institutions. The case offers transferable implications for AI-era curriculum innovation and value-shaping education in foreign language programs.
[1] Kasneci E, Sessler K, Küchemann S, et al., 2023, ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education. Learning and Individual Differences, 103: 102274.
[2] Chan CKY, 2023, A Comprehensive AI Policy Education Framework for University Teaching and Learning. International Journal of Educational Technology in Higher Education, 20: 38.
[3] Wen QF, 2021, A Framework of Integrating Moral Education into College Foreign Language Teaching. Foreign Languages in China, 18(2): 47–52.
[4] Huang GW, Xiao Q, 2021, Six Elements in the Ideological-Political Construction. Foreign Languages in China, 18(2): 10–16.
[5] Wang H, Liu W, 2021, Research on Enhancing Students’ Cultural Confidence in College English Teaching. In Proceedings of the 2021 2nd International Conference on Computers, Information Processing and Advanced Education (CIPAE 2021), 471–475. ACM.
[6] Huang X, Zou D, Cheng G, Chen X, Xie H, 2023, Trends, Research Issues and Applications of Artificial Intelligence in Language Education. Educational Technology & Society, 26(1): 112–131.
[7] Kohnke L, Moorhouse BL, Zou D, 2023, ChatGPT for Language Teaching and Learning. RELC Journal, 54(2): 537–550.
[8] Godwin-Jones R, 2022, Partnering with AI: Intelligent Writing Assistance and Instructed Language Learning. Language Learning & Technology, 26(2): 5–24.
[9] Sahari Y, Al-Kadi AMT, Ali JKM, 2023, A Cross-Sectional Study of ChatGPT in Translation: Magnitude of Use, Attitudes, and Uncertainties. Journal of Psycholinguistic Research, 52(6): 2937–2954.
[10] Chen J, Dai J, Zhu K, Xu L, 2022, Effects of Extended Reality on Language Learning: A Meta-Analysis. Frontiers in Psychology, 13: 1016519.
