Analysis of Learning Situation Based on Cognitive Load Level:Representation Framework and Practical Path
Under the background of digital education transformation,learning situation analysis,as an important means of helping teachers understand the learning process of students based on educational big data analysis and diagnostic results,is a necessary prerequisite for carrying out precise teaching.Cognitive load level has always been an important indicator for measuring personalized learning needs and deep learning occurrence of learners.In order to assist learners in adjusting their cognitive load levels during the learning process and effectively investing cognitive resources into higher-order problem-solving processes,this article outlines the general process of learning situation analysis and constructs a learner learning situation analysis framework based on cognitive load levels,which includes three levels:data collection,load identification,and analysis intervention.Subsequently,the article collected multimodal physiological data from 300 students who completed online tests using a portable wristband,and applied feature engineering methods to construct a cognitive load level recognition model.The study status was interpreted by integrating cognitive load levels and learning performance,and a learning analysis dashboard was designed to present the results of the study analysis and intervention suggestions.The article constructs a learning situation analysis framework from the perspective of cognitive load and verifies its feasibility through empirical research,in order to provide reference for research and teaching practice related to cognitive load.
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