Analysis of students' learning behavior characteristics and research on improvement strategies under the mixed teaching mode

WU Fang; WANG Qin; WU Xiuxiu; MAO Hongben

doi:10.3969/j.issn.2096-501X.2024.01.006

Abstract：Objective To analyze students'learning behavior under the mixed teaching mode,in order to implement targeted teaching interventions and improve students'learning effectiveness.Methods The learning behavior data of vocational college students in the online platform courses of Class 2019 and Class 2020 in the same course were analyzed.By using data mining methods such as factor analysis and cluster analysis,cluster analysis and correlation analysis were conducted on the learning behavior data of students,such as the duration of watching videos and the frequency of answering questions.Important influencing factors that affect students'grades were identified,and targeted teaching interventions was implemented for students in Class 2021.Results There is a higher proportion of passive students and a lower proportion of passive and active students in higher vocational colleges.The quality of learning is mainly influenced by factors such as teacher attention,chapter tests,assignments,and course scores;During the teaching process,the learning behavior in process evaluation is significantly correlated with academic performance,which is helpful to academic performance.In the process of instructional design,by focusing on learning behaviors with higher values in the component matrix,the participation of offline classroom interaction and the efficiency of online resource assistance have been improved,resulting in an overall improvement in the academic performance of students in Class 2021.Conclusions Under the mixed teaching mode,online teaching is a powerful supplement to offline teaching.The advantages of online and offline teaching should be fully utilized,teaching interventions should be implemented,teaching strategies should be improved,and students should be guided to engage in effective learning.