A Study of Multimodal Intelligent Adaptive Learning System and Its Pattern of Promoting Learners’ Online Learning Engagement

Abstract

As the field of artificial intelligence continues to evolve, so too does the application of multimodal learning analysis and intelligent adaptive learning systems. This trend has the potential to promote the equalization of educational resources, the intellectualization of educational methods, and the modernization of educational reform, among other benefits. This study proposes a construction framework for an intelligent adaptive learning system that is supported by multimodal data. It provides a detailed explanation of the system’s working principles and patterns, which aim to enhance learners’ online engagement in behavior, emotion, and cognition. The study seeks to address the issue of intelligent adaptive learning systems diagnosing learners’ learning behavior based solely on learning achievement, to improve learners’ online engagement, enable them to master more required knowledge, and ultimately achieve better learning outcomes.