Innovative talent cultivation strategies for teaching traditional culture and language and literature based on information fusion technology

[1] Milyakina, A. (2018). Rethinking literary education in the digital age. Sign Systems Studies, 46(4), 569-589.Search in Google Scholar

[2] Nezhyva, L. L., Palamar, S. P., Marienko, M. V. (2022). Clouds of words as a didactic tool in literary education of primary school children. In CTE Workshop Proceedings (Vol. 9, pp. 381-393).Search in Google Scholar

[3] Ballester-Roca, J., Spaliviero, C. (2021). CLIL and Literary Education: Teaching Foreign Languages and Literature from an Intercultural Perspective—The Results of a Case Study. In Teaching Language and Content in Multicultural and Multilingual Classrooms (pp. 225-251). Palgrave Macmillan, Cham.Search in Google Scholar

[4] Fernandez, A., Drozd, M. M., Thümmler, S., et al. (2019). Childhood-onset schizophrenia: a systematic overview of its genetic heterogeneity from classical studies to the genomic era. Frontiers in Genetics, 10, 1137.Search in Google Scholar

[5] Wenk, H. R., Yu, R., Cárdenes, V., et al. (2020). Fabric and anisotropy of slates: From classical studies to new results. Journal of Structural Geology, 138, 104066.Search in Google Scholar

[6] Marsili, E., Olivucci, M., Lauvergnat, D., et al. (2020). Quantum and quantum-classical studies of the photoisomerization of a retinal chromophore model. Journal of Chemical Theory and Computation, 16(10), 6032-6048.Search in Google Scholar

[7] Li, Y. (2019). Research on Curriculum Reform of Chinese Language and Literature Education Major Based on Modern Social Background.Search in Google Scholar

[8] Wang, D. (2022). Intelligent Teaching Mode of Chinese Language and Literature Based on Artificial Intelligence. In International Conference On Signal And Information Processing, Networking And Computers (pp. 1132-1140). Springer, Singapore.Search in Google Scholar

[9] Matheos, K., Cleveland-Innes, M. (2018). Blended learning: Enabling higher education reform. Revista Eletrônica de Educação, 12(1), 238-244.Search in Google Scholar

[10] Shevchenko, V. V. (2019). The reform of the higher education of Ukraine in the conditions of the military-political crisis. International Journal of Educational Development, 65, 237-253.Search in Google Scholar

[11] Tularam, G. A. (2018). Traditional vs Non-traditional Teaching and Learning Strategies - the case of E-learning! International Journal for Mathematics Teaching and Learning, 19(1), 129-158.Search in Google Scholar

[12] Kembaren, M. M., Noor, N. M., Lubis, M. H. (2019). Issues on Arabic Scriptures in Malay/Indonesia Language: A Study of its Contributions in the Development of Regional Culture, Language & Literature Literacy. International Journal of Cultural and Art Studies, 3(1), 15-21.Search in Google Scholar

[13] You, Y. (2019). The seeming ‘round trip’ of learner-centred education: a ‘best practice’ derived from China’s New Curriculum Reform? Comparative Education, 55(1), 97-115.Search in Google Scholar

[14] Law, W. W. (2014). Understanding China’s curriculum reform for the 21st century. Journal of Curriculum Studies, 46(3), 332-360.Search in Google Scholar

[15] Yin, H., Lee, J. C. K., Wang, W. (2014). Dilemmas of leading national curriculum reform in a global era: A Chinese perspective. Educational Management Administration & Leadership, 42(2), 293-311.Search in Google Scholar

[16] Wang, D., Moloney, R., Li, Z. (2013). Towards Internationalising the Curriculum: A Case Study of Chinese Language Teacher Education Programs in China and Australia. Australian Journal of Teacher Education, 38(9), 116-135.Search in Google Scholar

[17] Attaran, M., Yishuai, H. (2018). Teacher education curriculum for teaching Chinese as a foreign language. MOJES: Malaysian Online Journal of Educational Sciences, 3(1), 34-43.Search in Google Scholar

[18] López, X. M., Kalogirou, T., Millán-Scheiding, C. (2021). Good practices in Literary Education. Journal of Literary Education, (5).Search in Google Scholar

[19] Keh, H. T., Sun, J. (2018). The differential effects of online peer review and expert review on service evaluations: the roles of confidence and information convergence. Journal of Service Research, 21(4), 474-489.Search in Google Scholar

[20] Chen, A., Wang, F., Liu, W., et al. (2020). Multi-information fusion neural networks for arrhythmia automatic detection. Computer methods and programs in biomedicine, 193, 105479.Search in Google Scholar

[21] Ren, X., Li, C., Ma, X., et al. (2021). Design of multi-information fusion based intelligent electrical fire detection system for green buildings. Sustainability, 13(6), 3405.Search in Google Scholar

[22] Hanna, S., Krijestorac, E., Cabric, D. (2021). Feedback Free Distributed Transmit Beamforming using Guided Directionality. arXiv preprint arXiv:2108.01837.Search in Google Scholar

[23] Hanna, S., Krijestorac, E., Cabric, D. (2022). Destination-Feedback Free Distributed Transmit Beamforming Using Guided Directionality. IEEE Transactions on Mobile Computing.Search in Google Scholar

[24] Gao, X., Chen, J., Tao, D., et al. (2011). Multi-sensor centralized fusion without measurement noise covariance by variational Bayesian approximation. IEEE Transactions on Aerospace and Electronic Systems, 47(1), 718-272.Search in Google Scholar

[25] Wang, H., Yu, Y., Cai, Y., et al. (2020). Soft-weighted-average ensemble vehicle detection method based on single-stage and two-stage deep learning models. IEEE Transactions on Intelligent Vehicles, 6(1), 100-109.Search in Google Scholar

[26] Gong, J., Chen, S., Gao, X., et al. (2018). Integrating LDA into the weighted average method for semantic friend recommendation. In CCF Conference on Big Data (pp. 427-441). Springer, Singapore.Search in Google Scholar

[27] Liu, S., Zhang, Y. (2019). Detail-preserving underexposed image enhancement via optimal weighted multi-exposure fusion. IEEE Transactions on Consumer Electronics, 65(3), 303-311.Search in Google Scholar

[28] de Bézenac, E., Rangapuram, S. S., Benidis, K., et al. (2020). Normalizing Kalman filters for multivariate time series analysis. Advances in Neural Information Processing Systems, 33, 2995-3007.Search in Google Scholar

[29] Liu, S., Wang, Z., Chen, Y., et al. (2019). Protocol-based unscented Kalman filtering in the presence of stochastic uncertainties. IEEE Transactions on Automatic Control, 65(3), 1303-1309.Search in Google Scholar

[30] Huang, Y., Zhang, Y., Zhao, Y., et al. (2020). A novel outlier-robust Kalman filtering framework based on statistical similarity measure. IEEE Transactions on Automatic Control, 66(6), 2677-2692.Search in Google Scholar

[31] Han, J., Sauberan, J., Tran, M. T., et al. (2022). Implementation of vancomycin therapeutic monitoring guidelines: focus on Bayesian estimation tools in neonatal and pediatric patients. Therapeutic Drug Monitoring, 44(2), 241-252.Search in Google Scholar

[32] Kruschke, J. K. (2018). Rejecting or accepting parameter values in Bayesian estimation. Advances in methods and practices in psychological science, 1(2), 270-280.Search in Google Scholar

[33] Zitzmann, S., Hecht, M. (2019). Going beyond convergence in Bayesian estimation: Why precision matters too and how to assess it. Structural Equation Modeling: A Multidisciplinary Journal, 26(4), 646-661.Search in Google Scholar

[34] An, J., Yang, J., Wu, M., et al. (2018). Decoupling control method with fuzzy theory for top pressure of blast furnace. IEEE Transactions on Control Systems Technology, 27(6), 2735-2742.Search in Google Scholar

[35] Song, L., Wang, H., Chen, P. (2018). Step-by-step fuzzy diagnosis method for equipment based on symptom extraction and trivalent logic fuzzy diagnosis theory. IEEE Transactions on Fuzzy Systems, 26(6), 3467-3478.Search in Google Scholar