Selection and Optimization of University English Teaching Path Based on Knowledge Distillation and Transfer Learning

[1] Pan, S. J. (2020). Transfer learning. Learning, 21, 1-2. Pan S. J. ( 2020 ). Transfer learning . Learning , 21 , 1 - 2 . Search in Google Scholar

[2] Day, O., & Khoshgoftaar, T. M. (2017). A survey on heterogeneous transfer learning. Journal of Big Data, 4, 1-42. Day O. Khoshgoftaar T. M. ( 2017 ). A survey on heterogeneous transfer learning . Journal of Big Data , 4 , 1 - 42 . Search in Google Scholar

[3] Zhuang, F., Qi, Z., Duan, K., Xi, D., Zhu, Y., Zhu, H., ... & He, Q. (2020). A comprehensive survey on transfer learning. Proceedings of the IEEE, 109(1), 43-76. Zhuang F. Qi Z. Duan K. Xi D. Zhu Y. Zhu H. He Q. ( 2020 ). A comprehensive survey on transfer learning . Proceedings of the IEEE , 109 ( 1 ), 43 - 76 . Search in Google Scholar

[4] Tan, C., Sun, F., Kong, T., Zhang, W., Yang, C., & Liu, C. (2018). A survey on deep transfer learning. In Artificial Neural Networks and Machine Learning-ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III 27 (pp. 270-279). Springer International Publishing. Tan C. Sun F. Kong T. Zhang W. Yang C. Liu C. ( 2018 ). A survey on deep transfer learning . In Artificial Neural Networks and Machine Learning-ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III 27 (pp. 270 - 279 ). Springer International Publishing . Search in Google Scholar

[5] Niu, S., Liu, Y., Wang, J., & Song, H. (2020). A decade survey of transfer learning (2010-2020). IEEE Transactions on Artificial Intelligence, 1(2), 151-166. Niu S. Liu Y. Wang J. Song H. ( 2020 ). A decade survey of transfer learning (2010-2020) . IEEE Transactions on Artificial Intelligence , 1 ( 2 ), 151 - 166 . Search in Google Scholar

[6] Ruder, S., Peters, M. E., Swayamdipta, S., & Wolf, T. (2019, June). Transfer learning in natural language processing. In Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: Tutorials (pp. 15-18). Ruder S. Peters M. E. Swayamdipta S. Wolf T. ( 2019 , June ). Transfer learning in natural language processing . In Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: Tutorials (pp. 15 - 18 ). Search in Google Scholar

[7] Liu, N., Luo, K., Yuan, Z., & Chen, Y. (2022). A transfer learning method for detecting Alzheimer’s disease based on speech and natural language processing. Frontiers in Public Health, 10, 772592. Liu N. Luo K. Yuan Z. Chen Y. ( 2022 ). A transfer learning method for detecting Alzheimer’s disease based on speech and natural language processing . Frontiers in Public Health , 10 , 772592 . Search in Google Scholar

[8] Sharma, N., & Verma, B. (2024). Recent Advances in Transfer Learning for Natural Language Processing (NLP). Federated learning for Internet of Vehicles: IoV Image Processing, Vision and Intelligent Systems, 228-254. Sharma N. Verma B. ( 2024 ). Recent Advances in Transfer Learning for Natural Language Processing (NLP) . Federated learning for Internet of Vehicles: IoV Image Processing, Vision and Intelligent Systems , 228 - 254 . Search in Google Scholar

[9] Gou, J., Yu, B., Maybank, S. J., & Tao, D. (2021). Knowledge distillation: A survey. International Journal of Computer Vision, 129(6), 1789-1819. Gou J. Yu B. Maybank S. J. Tao D. ( 2021 ). Knowledge distillation: A survey . International Journal of Computer Vision , 129 ( 6 ), 1789 - 1819 . Search in Google Scholar

[10] Cho, J. H., & Hariharan, B. (2019). On the efficacy of knowledge distillation. In Proceedings of the IEEE/CVF international conference on computer vision (pp. 4794-4802). Cho J. H. Hariharan B. ( 2019 ). On the efficacy of knowledge distillation . In Proceedings of the IEEE/CVF international conference on computer vision (pp. 4794 - 4802 ). Search in Google Scholar

[11] Li, S., Lin, M., Wang, Y., Wu, Y., Tian, Y., Shao, L., & Ji, R. (2022). Distilling a powerful student model via online knowledge distillation. IEEE transactions on neural networks and learning systems, 34(11), 8743-8752. Li S. Lin M. Wang Y. Wu Y. Tian Y. Shao L. Ji R. ( 2022 ). Distilling a powerful student model via online knowledge distillation . IEEE transactions on neural networks and learning systems , 34 ( 11 ), 8743 - 8752 . Search in Google Scholar

[12] Wang, K., Yang, F., Chen, Z., Chen, Y., & Zhang, Y. (2023). A fine-grained bird classification method based on attention and decoupled knowledge distillation. Animals, 13(2), 264. Wang K. Yang F. Chen Z. Chen Y. Zhang Y. ( 2023 ). A fine-grained bird classification method based on attention and decoupled knowledge distillation . Animals , 13 ( 2 ), 264 . Search in Google Scholar

[13] Huang, B., Chen, M., Wang, Y., Lu, J., Cheng, M., & Wang, W. (2023). Boosting accuracy and robustness of student models via adaptive adversarial distillation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 24668-24677). Huang B. Chen M. Wang Y. Lu J. Cheng M. Wang W. ( 2023 ). Boosting accuracy and robustness of student models via adaptive adversarial distillation . In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 24668 - 24677 ). Search in Google Scholar

[14] Liu, Y., Zhang, W., & Wang, J. (2020). Adaptive multi-teacher multi-level knowledge distillation. Neurocomputing, 415, 106-113. Liu Y. Zhang W. Wang J. ( 2020 ). Adaptive multi-teacher multi-level knowledge distillation . Neurocomputing , 415 , 106 - 113 . Search in Google Scholar

[15] Yuan, F., Shou, L., Pei, J., Lin, W., Gong, M., Fu, Y., & Jiang, D. (2021, May). Reinforced multi-teacher selection for knowledge distillation. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, No. 16, pp. 14284-14291). Yuan F. Shou L. Pei J. Lin W. Gong M. Fu Y. Jiang D. ( 2021 , May ). Reinforced multi-teacher selection for knowledge distillation . In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35 , No. 16 , pp. 14284 - 14291 ). Search in Google Scholar

[16] Atmowardoyo, H., Weda, S., & Sakkir, G. (2021). Learning Strategies in English Skills used by Good Language Learners in Millennial Era: A Positive Case Study in Universitas Negeri Makassar. ELT Worldwide, 8(1), 28-40. Atmowardoyo H. Weda S. Sakkir G. ( 2021 ). Learning Strategies in English Skills used by Good Language Learners in Millennial Era: A Positive Case Study in Universitas Negeri Makassar . ELT Worldwide , 8 ( 1 ), 28 - 40 . Search in Google Scholar

[17] Qin, L. (2024). A Study of Teaching Strategies for English Reading in Junior Middle School Based on Core Literacy. Frontiers in Educational Research, 7(7). Qin L. ( 2024 ). A Study of Teaching Strategies for English Reading in Junior Middle School Based on Core Literacy . Frontiers in Educational Research , 7 ( 7 . Search in Google Scholar

[18] Li, H. T., Lin, S. C., Chen, C. Y., & Chiang, C. K. (2019). Layer-level knowledge distillation for deep neural network learning. Applied Sciences, 9(10), 1966. Li H. T. Lin S. C. Chen C. Y. Chiang C. K. ( 2019 ). Layer-level knowledge distillation for deep neural network learning . Applied Sciences , 9 ( 10 ), 1966 . Search in Google Scholar

[19] Wang, Y., Zeng, D., Wada, S., & Kurihara, S. (2023). Videoadviser: Video knowledge distillation for multimodal transfer learning. IEEE Access, 11, 51229-51240. Wang Y. Zeng D. Wada S. Kurihara S. ( 2023 ). Videoadviser: Video knowledge distillation for multimodal transfer learning . IEEE Access , 11 , 51229 - 51240 . Search in Google Scholar

[20] Kang, M., Park, J., & Han, B. (2022). Class-incremental learning by knowledge distillation with adaptive feature consolidation. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 16071-16080). Kang M. Park J. Han B. ( 2022 ). Class-incremental learning by knowledge distillation with adaptive feature consolidation . In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 16071 - 16080 ). Search in Google Scholar

[21] M. S. Antony Vigil, V. Gowri,S. S. Subashka Ramesh, M. S. Bennet Praba & P. Sabitha. (2024). ADGRU: Adaptive DenseNet with gated recurrent unit for automatic diagnosis of periodontal bone loss and stage periodontitis with tooth segmentation mechanism. Clinical Oral Investigations(11),614-614. Antony Vigil M. S. Gowri V. Subashka S. S. Ramesh M. S. Praba Bennet Sabitha P. ( 2024 ). ADGRU: Adaptive DenseNet with gated recurrent unit for automatic diagnosis of periodontal bone loss and stage periodontitis with tooth segmentation mechanism . Clinical Oral Investigations ( 11 ), 614 - 614 . Search in Google Scholar

[22] Ibrahim Arpaci, Mohammed A. Al Sharafi & Moamin A. Mahmoud. (2024). Factors predicting green behavior and environmental sustainability in autonomous vehicles: A deep learning-based ANN and PLSSEM approach.Research in Transportation Business & Management101228-101228. Arpaci Ibrahim Al Sharafi Mohammed A. Mahmoud Moamin A. ( 2024 ). Factors predicting green behavior and environmental sustainability in autonomous vehicles: A deep learning-based ANN and PLSSEM approach . Research in Transportation Business & Management 101228 - 101228 . Search in Google Scholar

[23] Lara Vankelecom, Tom Loeys & Beatrijs Moerkerke. (2024). How to Safely Reassess Variability and Adapt Sample Size? A Primer for the Independent Samples t Test. Advances in Methods and Practices in Psychological Science(1). Vankelecom Lara Loeys Tom Moerkerke Beatrijs ( 2024 ). How to Safely Reassess Variability and Adapt Sample Size? A Primer for the Independent Samples t Test . Advances in Methods and Practices in Psychological Science ( 1 ). Search in Google Scholar

[24] Tianqing Xue & Zhongju Chen. (2024). Using the Paired Sample t test to Analyze the Effect of Jogging on the Cardiovascular Function of College Students. Alternative therapies in health and medicine. Xue Tianqing Chen Zhongju ( 2024 ). Using the Paired Sample t test to Analyze the Effect of Jogging on the Cardiovascular Function of College Students . Alternative therapies in health and medicine . Search in Google Scholar