Optimization measures for students’ autonomous learning based on deep learning and human-computer interaction technology

Abstract

In order to effectively improve students’ learning outcomes and teachers’ teaching quality, this paper explores an optimization measure for students’ autonomous learning based on deep learning and Human-Computer Interaction (HCI) technology. Our proposed optimization measure constructs an interactive micro-video teaching model from teaching resources, teaching process, and teaching evaluation perspectives. The experimental results demonstrate that our proposed optimization measure can effectively improve students’ learning outcomes and satisfaction while enhancing their autonomous learning abilities and learning motivations.