Abstract

To explore the status quo of learning engagement and learning burnout, the mechanism of learning engagement on learning burnout, and the mechanism of academic Self-efficacy. Methods:A total of 309 college students were randomly selected as research samples. The samples were investigated by using the College Students' learning engagement Scale, learning burnout scale and academic Self-efficacy questionnaire, and the results were analyzed by using SPSS26.0 and macro program Process. (1) there were significant differences in academic engagement between male and female, urban and rural, class position and political status, and there were significant differences in learning burnout between urban and rural and political status. (2) Learning engagement and academic Self-efficacy had negative predictive effects on learning burnout. (3) Academic Self-efficacy plays a partially mediating role in the relationship between learning engagement and learning burnout. This study introduces academic Self-efficacy into the influence of learning input on learning burnout, constructs a mechanism model of the influence of learning input on learning burnout, and carries out empirical tests on this model, which is the improvement and expansion of related research fields.

Highlights

  • China's Education Modernization 2035, issued by the CPC Central Committee and The State Council, states,"By 2035, China will achieve overall education modernization, enter the ranks of education power, and promote China to become a country of learning, human resources and talent power."(policy from Ministry of Education of the People's Republic of China.) Some scholars point out that study is the main task of college students and an important part of college life.[1]

  • Using statistical analysis software SPSS26.0 and macro program Process, this paper explores the relationship among college students' learning engagement, academic Self-efficacy and learning burnout through reliability and validity test, descriptive statistics, independent sample T test, oneway analysis of variance, correlation analysis, step-by-step regression analysis and mediating effect test

  • Relevant studies indicate that urban and rural areas represent different resource allocation. [25,26,27] In recent years, due to national attention and support, the rural education has a certain development, but overall is still insufficient, which leads to poor foundation of college students.The rural students and college students generally introverted personality,who are reluctant to speak in terms of learning, poor communication, do not dare to ask, in many cases, leading to blind learning, and learning difficulties,[28]As time goes by, the negative attitude towards learning is manifested by the decrease of learning engagement and the increase of learning burnout

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Summary

Introduction

China's Education Modernization 2035, issued by the CPC Central Committee and The State Council, states,"By 2035, China will achieve overall education modernization, enter the ranks of education power, and promote China to become a country of learning, human resources and talent power."(policy from Ministry of Education of the People's Republic of China.) Some scholars point out that study is the main task of college students and an important part of college life.[1]. (Data are from the Development and Planning Department of the Ministry of Education.) These college students are the main force of the strategy of developing China into a country of talents and modernization, and their learning has a certain predictive effect on the quality of talents in the future. [4] The study burnout of college students is the negative attitude and behavior of being tired of study due to the pressure of study or lack of interest in study.[5,6] There is a close relationship between learning burnout and learning engagement, [7,8,9] Shen and other scholars proposed that learning engagement is negatively correlated with learning burnout.[7] Duan and other scholars pointed out that learning burnout has a good predictive ability for learning engagement. Duan and other scholars pointed out that learning burnout has a good predictive ability for learning engagement. [8,9] In view of this, hypothesis H1 is proposed: learning engagement is negatively correlated with learning burnout

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