Research on the Integration of Deep Learning and Psychology in Intelligent Digital Education Technology
Chen Wang, Tongle Li, Xin Wang, Minghao Liu, Minjeong Kim, Rui Chen · 2024
With the rapid development of artificial intelligence (AI) technology, deep learning (DL) has been increasingly applied in the field of education, providing new possibilities for improving teaching effectiveness and student learning experience. This paper explores the application of DL combined with educational psychology in intelligent education, and how this combination can promote educational innovation. Through empirical research, this paper analyzes the role of DL in personalized learning resource recommendation and adaptive learning system construction, and how educational psychology theory can guide instructional design to meet students' individualized learning needs. The experimental results show that the DL-based intelligent learning platform can significantly improve students' learning performance and satisfaction, while effectively identifying students' learning bottlenecks and knowledge gaps, and helping teachers adjust teaching strategies in time. This paper reveals the great potential of DL combined with educational psychology in intelligent education, and proposes future research directions to achieve personalized and intelligent education, providing students with better learning experiences and growth environments.