Smart Mental Chatbot Platform in the Media and Cognition Course

Abstract

The media and cognition course has evolved over ten years and is still keeping pace with the latest developments in artificial intelligence and machine learning. In order to promote this course, the teaching group specially launched one python programming course in the first year of college to help freshmen use python as a tool more proficiently, and combine their interests in the subsequent media and cognition course to propose their more attractive and innovative ideas. This process is also known as the interest-based teaching method. With the development of interest-based teaching method, more students can find interesting problems or difficulties in their study and life, and try to solve them with various intelligent means taught in the course of media and cognition. In the latest course, students independently propose a diagnostic technique for teenagers’ psychological anxiety based on image cognition. In the class, the students developed one anxiety diagnosis chatbot system for teenagers to self-test their anxious level. Based on the user’s description and cognition of the image, the user’s language and text analysis and entity extraction are used to determine the severity of their psychological problems and analyze the causes of their anxiety and stress. The topics proposed in this paper reflect the recent development of artificial intelligence and psychology shown in this course. This kind of interest-based application project proposed by the students fully implies that as a teaching platform, this course effectively helps students to conduct independent research based on interest, and further stimulates students’ innovative ability.