TITLE:
Research on the Intelligent Transformation Path of Japanese Writing Teaching from the Perspective of Human-Machine Collaboration
AUTHORS:
Tao Zhai
KEYWORDS:
Generative Artificial Intelligence, Japanese Writing Teaching, Human-Machine Collaboration, Practical Teaching, Pragmatic Teaching
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.14 No.5,
May
25,
2026
ABSTRACT: Against the background of digital transformation in education, generative artificial intelligence provides technical support for solving the long-standing dilemmas in traditional foreign language writing instruction. However, existing research mostly focuses on English teaching, and intelligent research on Japanese writing teaching remains largely blank. Adopting action research and case study methods, this study conducted a 16-week teaching practice with two parallel classes of Japanese majors in a university and systematically explored the application paths of generative AI in three core scenarios: basic writing, business practical writing, and academic writing. The findings reveal that generative AI can significantly improve teaching feedback efficiency and students’ pragmatic competence, yet it faces special challenges in Japanese honorific generation, style adaptation, and cultural context understanding. Accordingly, this study constructs a human-machine collaborative teaching mode featuring “AI as technical support and teachers as humanistic leaders”, clarifies the role division and whole-process application framework, and provides theoretical references and practical implications for the intelligent transformation of Japanese writing teaching.