The Logic, Framework, and Path of Artificial Intelligence Applied to Personalized STEM Instruction

As an important driving force of the new round of scientific and technological revolution, artificial intelligence is driving human society into the intelligent era of innovation and integration, and popularizing and promoting artificial intelligence education will become an inevitable trend. However, it is found through research that there are problems such as the lack of clear positioning in the form of course offerings, a single form of teaching, weak professionalism of teachers, and deviation from the original intention of demand-oriented, etc., in the application of artificial intelligence in personalized STEM teaching. In response to the above problems, through in-depth research and analysis of related literature, it is found that personalized STEM teaching has the characteristics of interdisciplinarity, contextualization, and practicability, which coincides with the integration of multidisciplinary knowledge and the emphasis on solving real problems through practice in AI education. Based on this, this study integrates the concept of STEM education with AI education to further cultivate students' cognitive ability and disciplinary literacy, and to promote the integration and development of AI and STEM education.