Driven by the digital transformation, artificial intelligence (AI) technology is deeply integrating into the field of education, and driving systematic changes in practical teaching. This paper takes the paradigm reconstruction and path exploration of the integration of AI technology and practical teaching as the research object, and constructs a progressive analytical framework from the aspects of cognitive transformation, behavioral application, and effect intensification. Firstly, it analyzes the transformation of teaching philosophies from the traditional model to intelligent cognition, and points out that the renewal of the concept of teacher-student collaboration and the cultural recognition of the digital education ecosystem constitute the psychological basis for accepting the new paradigm. Secondly, it elaborates on the implementation path from translating concepts into specific teaching behaviors, focusing on the rational selection of intelligent tools and platform integration, innovative application of blended teaching models, and targeted improvement of teachers' and students' digital literacy. Finally, it reveals the effectiveness of this transformation in improving teaching quality, achieving precision and personalized teaching, enhancing students' learning experience and interaction participation, and promoting the construction of innovation model for sustainable education. From concept enlightenment to behavior transformation and then to performance release, the overall research presents the complete thread of the transformation and upgrading of practical teaching in the AI era, and provides practical guidance for the orderly implementation of AI practical teaching in the context of digital transformation.
Huang Jizhen (Wed,) studied this question.