Study on the Influencing Factors on Network-based Autonomous Learning in Mechanical Engineering English

Abstract

Exploring the influencing factors of network-based autonomous learning is very important for colleges and universities in the world who have adopted this teaching mode in their education system. Many studies have discussed the teaching mode of autonomous learning, but failed to pay enough attention to the factors influencing students learning results. The purpose of this study is to analyze the relationship between the influencing factors and students’ learning results among different levels, and find better teaching method according to students’ learning condition. Mechanical Engineering students in Luoyang Institute of Science and Technology are employed as the data source. A number of data are collected and compared, and an analysis of various factors that influence the achievement of students’ network-based autonomous learning is performed. Data calculation shows that: students from different grades and levels differ in their learning motivations and beliefs; in learning strategies, they have no difference in cognitive stratagem, but in Meta-cognitive strategy and resource management strategies they are different. There are significant positive correlations between students’ intrinsic motivation and belief of resource management, students’ responsibility strategy use; extrinsic motivation and strategy use are a negative correlation, but not significant.