This research aims to analyze the influencing factors of migrant children’s education integration based on the convolutional neural network algorithm. The attention mechanism, LSTM, and GRU are introduced based on the CNN algorithm, to establish an ALGCNN model for text classification. Film and television review data set, Stanford sentiment data set, and news opinion data set are used to analyze the classification accuracy, loss value, Hamming loss, precision, recall, and micro-F1 of the ALGCNN model. Then, on the big data platform, (...) data in the Comprehensive Management System of Floating Population and Rental Housing, Student Status Information Management System, and Student Information Management System of Beijing city are taken as samples. The ALGCNN model is used to classify and compare related data. It is found that in the MR, STT, and MPQA data sets, the classification accuracy and loss value of the ALGCNN model are better than other algorithms. HL is the lowest, the Pre is second only to the BERT algorithm, and the Re and F1 are both higher than other algorithms. From 2015 to 2019, the number of migrant children in different grades of elementary school shows a gradual increase. Among migrant children, the number of migrant children from other counties in this province is evidently higher than the number of migrant children from other provinces. Among children of migrant workers, the number of immigrants from other counties in this province is also notably higher than the number of immigrants from other provinces. With the gradual increase in the years, the proportion of township-level expenses shows a gradual decrease, whereas the proportion of district and county-level expenses shows a gradual increase. Moreover, the accuracy of the ALGCNN model in migrant children and local children data classification is 98.6 and 98.9%, respectively. The proportion of migrant children in the first and second grades of a primary school in Beijing city is obviously higher than that of local children. The average final score of local children was greatly higher than that of migrant children, whereas the scores of migrant children’s listening methods, learning skills, and learning environment adaptability are lower, which shows that an effective text classification model is established based on the CNN algorithm. In short, the children’s education costs, listening methods, learning skills, and learning environment adaptability are the main factors affecting migrant children’s educational integration, and this work provides a reference for the analysis of migrant children’s educational integration. (shrink)

Resumo: O objetivo deste artigo é discutir a evolução das formas de embalagens de mercadorias sob a perspectiva da evolução da mídia e da filosofia da arte. Primeiramente, analisamos a evolução histórica das embalagens de mercadorias, no processo de evolução dos meios, do design artesanal ao digital, revelando as mudanças dos meios de embalagem em diferentes períodos. Posteriormente, na perspectiva da filosofia da arte, tratamos da conotação da embalagem commodity, como forma de arte, e discutimos o uso de elementos artísticos (...) no design de embalagens e seu papel na transmissão de emoções e conceitos. Neste contexto, adotamos a evolução da filosofia da mídia e da arte como ponto de entrada para analisar a evolução das formas de embalagem de mercadorias. (shrink)

This work intends to solve the problem that the traditional education system cannot reasonably adjust the educational integration of children with the arrival of labor force in a short time, and support the education of migrant children in the education policy to integrate them into the local educational environment as soon as possible. Firstly, this work defines the surplus labor force and MC. Secondly, the principles of Artificial Intelligence and Deep Learning are introduced. Thirdly, it analyzes the education of MC (...) and relevant policies, and the data of the education effect of MC are collected and the evaluation effect model is built. Finally, the evaluation model of MC’s education effect is applied to test the effect of EP. The results show that using AI technology combined with DL technology to model the education effect of MC can establish an effective and accurate evaluation model of the education effect of MC, effectively evaluate the impact of local education policies on the education of MC, and give an effective effect analysis of relevant education policies in each period. The result of Adaptive Resonance Theory –Back Propagation algorithm is 65 ∼ 96%, which is much higher than the efficiency of traditional algorithms. This shows that the education integration evaluation model of MC based on AI technology and DL technology can effectively and accurately evaluate the integration effect of MC on the local education system, and then provide reference for local and even national adjustment of education policies. The results provide a new idea for the application of new technology in EP. (shrink)

Online education was once considered a convenient and flexible educational chan­nel. However, COVID-19 forced most teachers and students to have no other option but to move lessons online. Academic publications on online presence can be categorised into two independent fields: theoretical discussions and practical frameworks for improving online presence. Among these publications, some authors are holding pessimistic attitudes towards the idea of online presence. Some of them, following Heideggerian Gelassenheit, argue that online education is more or less a result of (...) participants’ exhibition of controlled and judgemental performances due to its disembodiment, which freezes the reality and is devoted to calculative thinking. Others, following the Levinasian phenomenology of the face, claim that online education, with the screen as the barrier, jeopardises the embodied sensitivity and responsiveness of teachers’ ethical attuning to students. To negotiate with these authors, we would like to remind them of its possibility. Therefore, we draw on Merleau-Ponty’s phenomenology of embodiment to introduce an opinion confirming online presence in education. We then point out the danger of reducing learning to the state of being present in classes, whether bodily or virtually, by inviting readers to rethink “absence” as a concealed side of presence and to confirm the roles of absence and presence in co-constructing a person’s perception of things. We thus emphasise the importance of teachers’ and students’ intentionality to teach or to learn, which determines the effects of online education. Finally, this study concludes with a post-digital view that beckons us to transcend the current debate of teaching online or offline, recognising a blurred boundary between the virtual and bricks-and-mortar modes of education. (shrink)