Challenges and Breakthroughs Faced by Teaching Subjects in the Context of Generative Artificial Intelligence

Abstract

Generative artificial intelligence has achieved remarkable accomplishments in various fields over the past decade. The report of the 20th National Congress of the Communist Party of China clearly emphasizes 'promoting the digitalization of education and building a learning society and a learning-oriented major country for lifelong learning for all,' leveraging the advantages of artificial intelligence. Along with educational reforms, the education sector has responded strongly to new technologies, and generative artificial intelligence has begun to play an 'assistant to teachers' role in teaching. However, generative artificial intelligence also poses certain challenges to teaching subjects, mainly reflected in the enhancement of AI subjectivity, the confusion of teacher subjectivity, and the obscuring of student subjectivity. To address the challenges brought by generative artificial intelligence to teaching subjects, strategies such as encouraging mutual advancement between education and information technology, steadily enhancing teachers' digital literacy, and strengthening students' thinking training and innovation capabilities are proposed to promote high-quality teaching by teachers and the development of students' critical thinking abilities.