With the rapid development of urbanization, urban domestic waste is also increasing, if the garbage cannot be effectively classified, there will be a dilemma of garbage siege. In recent years, artificial intelligence technology has been applied in the field of garbage classification, which provides a convenient means for garbage classification. However, technological innovation can only alleviate the accumulated total amount of garbage, and finding the source of garbage generation is the key to solve the problem. Therefore, based on the theory of planned behavior, A-B-C theory and interpersonal behavior theory, from the policy level, the social level and the individual level, this paper puts forward some suggestions, it is composed of government, society, individual and other organizations, and puts forward the corresponding research hypotheses. Through interviewing and questionnaire survey in Guangzhou, the sample data are collected, and then regression analysis and structural equation model analysis are used to obtain the influence degree value of residents’ attitude towards garbage classification, subjective norms, perceived behavior control, situational factors, and government legal regulation on residents’ living garbage classification willingness. The results show that residents’ attitude towards domestic waste classification is significant and the government’s legal control factors are the key factors affecting the residents’ willingness of garbage classification.
The rapid development of information technology has broken the traditional teaching methods and learning environment, and the traditional teaching environment is difficult to meet the needs of information-based teaching. Therefore, based on the TPACK theory, this paper integrates the teaching method, information technology and subject content, and uses cloud computing technology to design the information-based learning environment model and framework in line with the teaching characteristics of colleges and universities. finally, from the theoretical and technical aspects, a learning environment based on cloud computing technology has been established, which provides support and guarantee for the reform of basic information teaching in colleges and universities.
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