Study on the Influencing Factors of Middle School Students’ Deep Learning Competencies in the Smart Classroom Environment

To investigate the influencing factors of high school students’ deep learning competencies in the smart classroom environment (SCE), this study analyzed the factors related to students’ deep learning competencies in the SCE through a questionnaire survey with the 11th-grade students of a public high school in South China as the subjects. The structural equation modeling method was used to validate and analyze the inherent logical relationship between self-efficacy, teacher support, platform services, and students’ deep learning competencies in the SCE. The results indicated that students’ deep learning competencies in the SCE were at a high level, and students’ self-efficacy, perceived teacher support, and platform services all had a significant positive effect on students’ deep learning competencies. In addition, platform services had a moderate positive effect on students’ self-efficacy as well as teacher support, and teacher support had a significant positive effect on students’ self-efficacy.