Predictors of Satisfaction, Motivation, and Learning Engagement for Engineering Students

2023 13th International Symposium on Advanced Topics in Electrical Engineering (ATEE)(2023)

引用 0|浏览3
暂无评分
摘要
The research presented in this paper aims to identify an association between the educational process and some socio-demographic variables, as potential predictors of the satisfaction level for engineering students, together with their engagement in the overall learning process. The study has been conducted for two subjects and is based on an anonymously conducted survey during the final lecture of the semester. Data has been collected by applying the same questionnaire to the students during the last lecture, in the five (5) academic years. The specificity of the collected data has required the use of non-parametric correlation coefficients in the investigation of the degree of association between variables. It has been identified that the level of student satisfaction varies mainly with the characteristics of the courses and students’ academic maturity.
更多
查看译文
关键词
educational process,engineering studies,student satisfaction,technical university,academic maturity,nonparametric correlation coefficient
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要