A study on the social and cultural context of toys for primary school children

In response to the post-epidemic relationship and other factors, the number of students who transfer from abroad is increasing daily. The timing and reasons such children return to their hometown to study nowadays are extremely diverse, often appearing in the floating population, emergencies, and individual cases. At present, more and more "international transfer students" appear in the education system of their hometown and home country, and they are facing great difficulties in academic and interpersonal relationships. Because of their lack of language skills, such children cannot successfully integrate into the education system after returning to their hometowns. In order to protect students' learning rights and avoid becoming "guests in the classroom," this study starts from the social and cultural context of toys among elementary school children; Analyzed and explored their cultural background through evaluation constructs, user journey maps, questionnaires, and applied grounded theory in qualitative research, as well as their emotional ups and downs during the game. Explore objects' meaning and relationships represented in the social culture of children to explore the emotional motivation of school children and the preferences of product modeling. It aims to understand the relationship between personal emotional fluctuations, environmental and behavior of use, hoping to create more possibilities for future curriculum development and toy design. This study adopts between-subjects design to investigate the acceptance level and psychological experience process of 120 elementary school children in the process of experiencing the interactive integration of toys into learning. Among them, 60 students are Eastern Asians and 60 are Western foreign students. Interview and record analysis. And from the popular toys on the e-commerce platform on the market, 20 items were screened out one by one for the classification of interactive toys and experience , integrated into the research and investigation of these 120 elementary school children, observed and recorded through questionnaires and interviews

Soft computing applications in dynamic model identification of polymer extrusion process

This paper proposes the application of soft computing to deal with the constraints in conventional modelling techniques of the dynamic extrusion process. The proposed technique increases the efficiency in utilising the available information during the model identification. The resultant model can be classified as a ‘grey-box model’ or has been termed as a ‘semi-physical model’ in the context. The extrusion process contains a number of parameters that are sensitive to the operating environment. Fuzzy ruled-based system is introduced into the analytical model of the extrusion by means of sub-models to approximate those operational-sensitive parameters. In drawing the optimal structure for the sub-models, a hybrid algorithm of genetic algorithm with fuzzy system (GA-Fuzzy) has been implemented. The sub-models obtained show advantages such as linguistic interpretability, simpler rule-base and less membership functions. The developed model is adaptive with its learning ability through the steepest decent error back-propagation algorithm. This ability might help to minimise the deviation of the model prediction when the operational-sensitive parameters adapt to the changing operating environment in the real situation. The model is first evaluated through simulations on the consistency of model prediction to the theoretical analysis. Then, the effectiveness of adaptive sub-models in approximating the operational-sensitive parameters during the operation is further investigated