International Journal of Education

Against the backdrop of deep integration of globalization and digitization, public diplomacy discourse teaching is crucial for building a nations cultural soft power. Traditional teaching models, constrained by limited resources and lagging technology, struggle to cultivate students capabilities to adapt to digital communication environments. This study focuses on the application of Python in public diplomacy discourse teaching. Through theoretical construction and practical exploration, it reveals the unique advantages of Python in expanding data-driven teaching resources, planning personalized learning paths, and enhancing cross-cultural communication skills. Leveraging technologies such as web crawling, natural language processing (NLP), and data visualization, Python enables automated collection of multi-source public diplomacy corpus and construction of customized corpora. By integrating machine learning algorithms, it provides students with precise learning support, while reinforcing cross-cultural discourse practice through virtual scenario simulation. This research not only expands the theoretical boundaries of integrating public diplomacy discourse teaching with information technology but also offers practical pathways for improving the effectiveness of international communication talent cultivation.

Public diplomacy discourse; Python; Teaching innovation