https://elib.bsu.by:443/handle/123456789/326575 Sat, 18 Apr 2026 05:37:39 GMT 2026-04-18T05:37:39Z https://elib.bsu.by:443/handle/123456789/342802 Заглавие документа: Ситуационная задача на уроках искусства: от эмоциональной вовлеченности к творческому решению Авторы: Лебедев, Сергей Юрьевич; Колбышева, Светлана Ивановна Аннотация: В статье рассматривается понятие ситуационной задачи в контексте художественно-эстетического образования. Авторы анализируют сущность данного дидактического инструмента и раскрывают его потенциал в развитии художественного мышления, формировании навыков принятия решений и активизации художественно-творческих способностей у обучающихся. Особое внимание уделяется рассмотрению характеристик ситуационных задач, связанных с эстетической привлекательностью и наличием эмоциогенного фактора, обеспечивающего эффективное погружение в художественный контекст. Подчёркивается роль ситуационных задач в формировании ценностного отношения к искусству и культуре Wed, 01 Jan 2025 00:00:00 GMT https://elib.bsu.by:443/handle/123456789/342802 2025-01-01T00:00:00Z https://elib.bsu.by:443/handle/123456789/342801 Заглавие документа: Düzyazıda farklı anlatı tiplerinin anlambilimsel incelemesi Авторы: Lebedzeu, Siarhey Аннотация: Çalışmamızda anlatıcı tipleri, bu tiplerin özellikleri ve sınıflandırılmasına ilişkin meseleleri ana hatlarıyla açıklamayı planlamaktayız. Bir eserde olası konuşma özneleri (konuşma ve bilinç özneleri), eser türleri, yazar ile eserin yapı düzeyindeki ilişkiler kuramsal açıdan ele alınacaktır. Bu çalışmada edebi eserde, dil-düşünce arasındaki ilişkinin yeni bir yaklaşımla ele alınması gerekliliği esas alınmaktadır; ayrıca dil-düşünce etkinliğinin farklı türlerde “anlambilimsel sunumu”ndan hareketle anlatı yapısı, özneleri ve sınıflandırılmasına ilişkin açıklama yapılmaktadır. Mon, 01 Jan 2024 00:00:00 GMT https://elib.bsu.by:443/handle/123456789/342801 2024-01-01T00:00:00Z https://elib.bsu.by:443/handle/123456789/337603 Заглавие документа: The Influence of Home Computer and Internet on Junior High School Students' Cognitive Ability: Evidence from China Education Panel Survey Авторы: Liu, Y.; Gao, J. Аннотация: Based on the China Education Panel Survey 2017-2018 school year baseline data and 2018-2019 school year follow-up data, this paper forms short panel data, and uses the unconditional fixed effect panel quantile regression method to discuss the impact of home computer and Internet on junior high school students' cognitive ability. The results show that: firstly, home computer and internet have significant improvement effect on junior high school students with moderate cognitive ability. Secondly, Parents' discipline on junior high school students' use of computers and the Internet has an inverted U-shaped on their cognitive development as a whole. Thirdly, for junior high school students with low level of cognitive ability, the quality of the school is more important to their cognitive ability development. Fourthly, "expectation friction" between junior high school students and their parents' educational expectations will limit the development of junior high school students' cognitive ability as a whole. According to this, on the one hand, the government should implement the access and use of junior high school students' home computers and the Internet. On the other hand, parents should play the role of guidance and supervision in the process of junior high school students' using home computers and Internet, communicate in a timely manner, and create a good environment for the students' use of home computers and Internet. Keywords: home computer and internet, cognitive abilities, junior high school students, panel data, quantile regression method. Wed, 01 Jan 2025 00:00:00 GMT https://elib.bsu.by:443/handle/123456789/337603 2025-01-01T00:00:00Z https://elib.bsu.by:443/handle/123456789/337597 Заглавие документа: Research on sentiment analysis of hotel review text based on BERT-TCN-BiLSTM-attention model Авторы: Chi, D.; Huang, T.; Jia, Z.; Zhang, S. Аннотация: Due to the high semantic flexibility of Chinese text, the difficulty of word separation, and the problem of multiple meanings of one word, a sentiment analysis model based on the combination of BERT dynamic semantic coding with temporal convolutional neural network (TCN), bi-directional long- and short-term memory network (BiLSTM), and Self-Attention mechanism (Self-Attention) is proposed. The model uses BERT pre-training to generate word vectors as model input, uses the causal convolution and dilation convolution structures of TCN to obtain higher-level sequential features, then passes to the BiLSTM layer to fully extract contextual sentiment features, and finally uses the Self-Attention mechanism to distinguish the importance of sentiment features in sentences, thus improving the accuracy of sentiment classification. The proposed model demonstrates superior performance across multiple datasets, achieving accuracy rates of 89.4 % and 91.2 % on the hotel review datasets C1 and C2, with corresponding F1 scores of 0.898 and 0.904. These results, which surpass those of the comparative models, validate the model’s effectiveness across different datasets and highlight its robustness and generalizability in sentiment analysis. It also shows that BERT-based coding can improve the model’s performance more than Word2Vec. Wed, 01 Jan 2025 00:00:00 GMT https://elib.bsu.by:443/handle/123456789/337597 2025-01-01T00:00:00Z