System Research of Computer Artificial Intelligence Information Technology in Teaching and Research Learning Terminal

Abstract

With the application of mobile teaching and research learning as the research background, this paper attempts to explore a new conversion method for Web content application to mobile teaching and research learning. The non-standard HTML documents are clipped and formatted based on proxy server. Make it a document that strictly follows the format definition required by XHTMLMP. Then this paper proposes an instant message push method based on user demand priority. The similarity measurement method is introduced to construct the prediction model of instant message score of mobile learning terminal, obtain the priority set of instant message push, and complete the push according to the priority. Finally, the main functions of the system are implemented, and it is found that the landing page design can improve the system security by 30%, and the course Q&A page design can increase the participation of teaching and research learners by 50%.