With the deep integration of artificial intelligence(AI)technology in education,AI-assisted teaching has become a crucial support for higher education reform.This study investigates the alleviating effect of AI-assist...With the deep integration of artificial intelligence(AI)technology in education,AI-assisted teaching has become a crucial support for higher education reform.This study investigates the alleviating effect of AI-assisted teaching on college students'academic burnout and examines the mediating role of teacher-student interaction quality.A questionnaire survey was conducted among 520 university students using the Academic Burnout Scale and Teacher-Student Interaction Quality Scale,with data processing and analysis performed through SPSS 26.0 and AMOS 24.0.Results indicate:(1)There is a significant negative correlation between AI-assisted teaching frequency and academic burnout(r=-0.32,p<0.01);(2)AI-assisted teaching frequency shows a significant positive correlation with teacher-student interaction quality(r=0.45,p<0.01);(3)Teacher-student interaction quality demonstrates a significant negative correlation with academic burnout(r=-0.51,p<0.01);(4)Teacher-student interaction quality partially mediates the relationship between AI-assisted teaching and academic burnout,accounting for 57.8%of the total effect.The findings provide empirical evidence for universities to optimize teaching processes and alleviate students'academic burnout through AI technology.展开更多
文摘With the deep integration of artificial intelligence(AI)technology in education,AI-assisted teaching has become a crucial support for higher education reform.This study investigates the alleviating effect of AI-assisted teaching on college students'academic burnout and examines the mediating role of teacher-student interaction quality.A questionnaire survey was conducted among 520 university students using the Academic Burnout Scale and Teacher-Student Interaction Quality Scale,with data processing and analysis performed through SPSS 26.0 and AMOS 24.0.Results indicate:(1)There is a significant negative correlation between AI-assisted teaching frequency and academic burnout(r=-0.32,p<0.01);(2)AI-assisted teaching frequency shows a significant positive correlation with teacher-student interaction quality(r=0.45,p<0.01);(3)Teacher-student interaction quality demonstrates a significant negative correlation with academic burnout(r=-0.51,p<0.01);(4)Teacher-student interaction quality partially mediates the relationship between AI-assisted teaching and academic burnout,accounting for 57.8%of the total effect.The findings provide empirical evidence for universities to optimize teaching processes and alleviate students'academic burnout through AI technology.
