A Study on Exploring the Influence of Teachers’ Interactive Behavior on Teaching Quality of English Classroom in Colleges and Universities by Combining Neural Network Prediction Models

[1] Chen, Z., Lian, Y., & Lin, Z. (2021). Research on business English autonomous learning based on artificial intelligence and improved BP network model. Journal of Intelligent & Fuzzy Systems, 40(4), 7159-7170. Search in Google Scholar

[2] Al-Shihi, H., Sharma, S. K., & Sarrab, M. (2018). Neural network approach to predict mobile learning acceptance. Education and Information Technologies, 23, 1805-1824. Search in Google Scholar

[3] Yang, J., Thomas, M. S., Qi, X., & Liu, X. (2019). Using an ANN-based computational model to simulate and evaluate Chinese students’ individualized cognitive abilities important in their English acquisition. Computer Assisted Language Learning, 32(4), 366-397. Search in Google Scholar

[4] Gerritsen, L., & Conijn, R. (2017). Predicting student performance with Neural Networks. Tilburg University, Netherlands. Search in Google Scholar

[5] Zhang, C., & Guo, Y. (2021). Mountain rainfall estimation and online English teaching evaluation based on RBF neural network. Arabian Journal of Geosciences, 14(17). Search in Google Scholar

[6] Wu, F., & Chen, Y. (2024). Maximizing English Teaching Efficacy with Particle Swarm Optimization-Driven Neural Network Training. IEEE Access. Search in Google Scholar

[7] Guo, Z., & Barmaki, R. (2020). Deep neural networks for collaborative learning analytics: Evaluating team collaborations using student gaze point prediction. Australasian Journal of Educational Technology, 36(6), 53-71. Search in Google Scholar

[8] Liu, H. (2021). College oral English teaching reform driven by big data and deep neural network technology. Wireless Communications and Mobile Computing, 2021(1), 8389469. Search in Google Scholar

[9] Yin, M. (2020). Research and analysis of intelligent English learning system based on improved neural network. Journal of Intelligent & Fuzzy Systems, 39(2), 1721-1731. Search in Google Scholar

[10] Zhong, Y. (2023). An Analysis on English Teachers’ Effective Classroom Discourse and Its Interactive Model Innovation with the Assistance of Artificial Intelligence. Applied Mathematics and Nonlinear Sciences, 9(1). Search in Google Scholar

[11] Sharma, S. K., Gaur, A., Saddikuti, V., & Rastogi, A. (2017). Structural equation model (SEM)-neural network (NN) model for predicting quality determinants of e-learning management systems. Behaviour & information technology, 36(10), 1053-1066. Search in Google Scholar

[12] Wang, B., Wang, J., & Hu, G. (2017). College English Classroom Teaching Evaluation Based on Particle Swarm Optimization-Extreme Learning Machine Model. International Journal of Emerging Technologies in Learning, 12(5). Search in Google Scholar

[13] Ma, X. (2021). Study on College English Online Teaching Model in Mixed Context Based on Genetic Algorithm and Neural Network Algorithm. Discrete Dynamics in Nature and Society, 2021. Search in Google Scholar

[14] Zhang, F. (2020). Innovation of English teaching model based on machine learning neural network and image super resolution. Journal of Intelligent & Fuzzy Systems, 39(2), 1805-1816. Search in Google Scholar

[15] Kong, F., Li, J., & Wang, Y. (2019). Human-computer interactive teaching model based on fuzzy set and BP neural network. Journal of Intelligent & Fuzzy Systems, 37(1), 103-113. Search in Google Scholar

[16] Pourtousi, Z., Khalijian, S., Ghanizadeh, A., Babanezhad, M., Nakhjiri, A. T., Marjani, A., & Shirazian, S. (2021). Ability of neural network cells in learning teacher motivation scale and prediction of motivation with fuzzy logic system. Scientific Reports, 11(1), 9721. Search in Google Scholar

[17] Chai, R. (2022). Construction and analysis of a business English classroom teaching quality evaluation system based on multimodal neural network model assessment. Journal of Combinatorial Mathematics and Combinatorial Computing, 117, 149-158. Search in Google Scholar

[18] Li, G., Liu, F., Wang, Y., Guo, Y., Xiao, L., & Zhu, L. (2021). A convolutional neural network (CNN) based approach for the recognition and evaluation of classroom teaching behavior. Scientific Programming, 2021(1), 6336773. Search in Google Scholar

[19] Liu, H., Chen, R., Cao, S., & Lv, H. (2021). Evaluation of college English teaching quality based on grey clustering analysis. International Journal of Emerging Technologies in Learning (iJET), 16(2), 173-187. Search in Google Scholar

[20] Qianna, S. (2021). Evaluation model of classroom teaching quality based on improved RVM algorithm and knowledge recommendation. Journal of Intelligent & Fuzzy Systems, 40(2), 2457-2467. Search in Google Scholar

[21] Wenming, H. (2021). Simulation of English teaching quality evaluation model based on Gaussian process machine learning. Journal of Intelligent & Fuzzy Systems, 40(2), 2373-2383. Search in Google Scholar

[22] Li, N. (2021). A fuzzy evaluation model of college English teaching quality based on analytic hierarchy process. International Journal of Emerging Technologies in Learning (iJET), 16(2), 17-30. Search in Google Scholar

[23] Zhen, C. (2021). Using Big Data Fuzzy K‐Means Clustering and Information Fusion Algorithm in English Teaching Ability Evaluation. Complexity, 2021(1), 5554444. Search in Google Scholar

[24] Fang, C. (2021). Intelligent online English teaching system based on SVM algorithm and complex network. Journal of Intelligent & Fuzzy Systems, 40(2), 2709-2719. Search in Google Scholar

[25] Lu, C., He, B., & Zhang, R. (2021). Evaluation of English interpretation teaching quality based on GA optimized RBF neural network. Journal of Intelligent & Fuzzy Systems, 40(2), 3185-3192. Search in Google Scholar

[26] Chen, Y. (2021). College English Teaching Quality Evaluation System Based on Information Fusion and Optimized RBF Neural Network Decision Algorithm. Journal of Sensors. Search in Google Scholar

[27] Chang, H. (2021). College English flipped classroom teaching model based on big data and deep neural networks. Scientific Programming, 2021(1), 9918433. Search in Google Scholar

[28] Xu Qian,Xiang Yan, Guo Yang & Zhang Yufei. (2024). Neural Network Reentry Guidance for Reusable Launch Vehicle Based on Sample Dimensionality Reduction. Journal of Aerospace Engineering(5). Search in Google Scholar

[29] Waidyasooriya Hasitha Muthumala & Hariyama Masanori. (2024). Performance evaluation of Word2vec accelerators exploiting spatial and temporal parallelism on DDR/HBM-based FPGAs. The Journal of Supercomputing(12),17192-17211. Search in Google Scholar

[30] Di Huang,Jinbao Song & Yu He. (2024). Community detection algorithm for social network based on node intimacy and graph embedding model. Engineering Applications of Artificial Intelligence107947-. Search in Google Scholar