Factors In The Development Of Active Learning Skills Of Successful Software Students
Abstract
Against the background of the deepening integration of digital economy and software technology, new requirements have been imposed on the professional ability and comprehensive quality of software talents. As an important channel for software talents, computermajors at universities should cultivate students with sustainable learning habits, as well as strong problem-solving and active learning abilities. The goal of this study is to improve the quality of software talent training at universities and identify the influencing factors of the formation of active learning abilities in talents. Undergraduate students majoring in software engineering from Jiangxi Agricultural University are examined. The specific procedure followed a three-step process: Firstly, basic data is obtained using a questionnaire survey; secondly, Statistical Package for the Social Sciences (SPSS) is used to perform factor analysis of the data and Analysis of moment structures (Amos) is used to perform structural equation modeling; thirdly, from the two dimensions of students’ internal and external environmental factors, the structural equation model of the influencing factors of active learning ability is obtained, including the five factors of cognitive level, learning motivation, personality quality, learning strategy, and environmental factors. The results not only enrich the connotation of active learning theory, but also help to better understand the changing law of the learning motivation of software students at universities. This will aid the scientific formulation of strategies to improve students’ active learning ability.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
