Analysis of Learning Fatigue among Students of Institute and Improvement of Teaching Strategies
Students of institute generally experience learning fatigue during the learning process. The main reason for this is the lack of interest in learning and low sense of achievement. Career interest is a key factor in stimulating learning interest, and internal sensory preferences directly affect the sense of achievement in learning. Therefore, taking students of institute as research samples, a questionnaire survey was conducted to analyze their learning burnout situation. The reliability and validity of the questionnaire were tested through reliability and validity. The entropy weight method was used to calculate the weight of the learning burnout problem, calculate the degree of burnout, and distinguish the types of learning burnout. Using principal component analysis to extract the causes of learning burnout, combined with occupational interests and sensory preferences, a classification model for the causes of learning burnout is constructed using methods such as decision trees and neural networks. The causes of learning burnout are refined, and targeted teaching improvement strategies are proposed to improve or avoid the occurrence of learning burnout.
万方数据
维普
