Network Teaching System Design Based on Human-Computer Interaction Psychology and Artificial Intelligent Technologies

Abstract

The wide application of artificial intelligence (AI) technology in education and teaching has widely changed the means and methods of distance network teaching. However, most intelligent network teaching systems and intelligent education platforms do not consider psychological factors such as learners' cognition, perception and emotions. This research studies the psychology factors of learners and the influence in the human-computer interaction (HCI) on the network teaching system. We hope to put forward the intelligent education platform based on HCI psychology design theory and a network teaching system design, while using AI technology to build software module and implement the network teaching system. Through the network teaching test, the test data of the ordinary network teaching system and the HCI psychology-based intelligent education platform are compared and analyzed. The analysis results show that the network teaching system based on HCI psychology improves the learning efficiency, knowledge acquisition rate and learning performance of learners. It shows that the combined application of AI technology and educational psychology is an important reform method of network teaching and intelligent education platform.