1. Shuhua AN. 2004. Capturing the Chinese way of teaching: The learning-questioning and learning-reviewing instructional model. In How Chinese learn mathematics: Perspectives from insiders. World Scientific 462--482. Shuhua AN. 2004. Capturing the Chinese way of teaching: The learning-questioning and learning-reviewing instructional model. In How Chinese learn mathematics: Perspectives from insiders. World Scientific 462--482.
2. Supporting Prospective Teachers to Notice Students' Mathematical Thinking through Rehearsal Activities;Anthony Glenda;Mathematics Teacher Education and Development,2015
3. Kevin Clark , Minh-Thang Luong , Quoc V Le , and Christopher D Manning . 2020 . ELECTRA: Pre-training text encoders as discriminators rather than generators . In International Conference on Learning Representations. Kevin Clark, Minh-Thang Luong, Quoc V Le, and Christopher D Manning. 2020. ELECTRA: Pre-training text encoders as discriminators rather than generators. In International Conference on Learning Representations.
4. Yiming Cui , Wanxiang Che , Ting Liu , Bing Qin , Shijin Wang , and Guoping Hu. 2020. Revisiting pre-trained models for Chinese natural language processing. arXiv preprint arXiv:2004.13922 ( 2020 ). Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, and Guoping Hu. 2020. Revisiting pre-trained models for Chinese natural language processing. arXiv preprint arXiv:2004.13922 (2020).
5. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2019 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding . In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , Volume 1 (Long and Short Papers). 4171--4186. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 4171--4186.