Deep Learning Technology Based on Intelligent Teaching in Social Psychology Courses

Abstract

Social psychology is a comprehensive course which is an interdisciplinary of sociology and psychology. Most colleges and universities have currently taken social psychology as a general course to popularize psychological knowledge to students, which has great significance to cultivating their quality. Previous teaching did not combine this course with social needs, the optimization of students’ psychological needs and enhancement of their abilities to solve problems, on the contrary, pure theoretical interpretation was the focus, resulting in students’ lacking of proactivity. Therefore, a new teaching mode for improvement is urgent. Based on deep learning theory and comprehensively taking teaching environment, teaching resources and technical strategy support into consideration, and intelligence as the core, the paper has designed an intelligent teaching mode including intelligent preview, intelligent classroom, intelligent promotion and intelligent evaluation. Meanwhile, combined with courses of social psychology, video, audio and text teaching resources and multimedia courseware, multimedia resources were integrated, and problem discussion-based collaborative learning was adopted for teaching. To accurately evaluate the teaching effect under the intelligent teaching environment, guided by the appeal of intelligent teaching and based on analysis of accurate teaching objectives, the paper has established an accurate teaching evaluation index system, aiming at providing an idea for "How to evaluate the effect of accurate teaching in the intelligent teaching environment". At last, the paper has applied the new teaching mode into the practice of social psychology, finding that the new mode can stimulate students’ proactivity, improve their performance, which is worth promotion.

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