The influence of situational motivation on college students'willingness and behavior of garbage classification
Integrate the traditional Theory of Planned Behavior(TPB)and Technology Acceptance Model(TAM)to build an empirical research model on the relationship between perceived behavioral control,intelligent facilities,facility convenience,incentive measures,and willingness and behavior of garbage classification.Conduct a questionnaire survey on the willingness and behavior of garbage classification among college students in Nanchang City,and use structural equation modeling to explore the key factors influencing college students'garbage classification.Combine ideological and political education with course content,and implement teaching reform in embedded artificial intelligence professional courses.Guide students to practice using lightweight visual model deployment technology to improve garbage classification assistance and human-computer interaction performance in homework and other links,thus achieving the dual goal of teaching and ideological and political education.The research results show that perceived behavioral control,facility convenience,and incentive measures have a significant positive impact on willingness of garbage classification,and perceived behavioral control is the main key factor.And the positive impact of intelligent facilities on garbage classification willingness is not significant.However,the positive impact of garbage classification willingness on garbage classification behavior is significant.The positive impact of intelligent facilities,facility convenience,and incentive measures on garbage classification behavior is not significant.Colleges and universities can effectively improve the willingness and behavior of garbage classification,and ensure the sustainable development of the ecological environment by strengthening situational motivation,building interactive robot lectures,establishing green carbon accounts to offset practical credits and incorporating the evaluation system for excellence and advancement,as well as professional course content development.
NETL
NSTL
万方数据
