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Design and application of intelligent classroom for English language and literature based on artificial intelligence technology

Zhang, Xi, Sun, Jing, Deng, Yiting·2023·Applied Artificial Intelligence
DOI 10.1080/08839514.2023.2216051
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  • AI technology such as smart classroom enables simulation of the atmosphere of a real classroom, practicum, or internship, in which students could better understand and practice what they had learned.

    “AI technology, such as smart classroom, enables the simulation of the atmosphere of a “real” classroom, practicum, or internship, in which students could better understand and practice what they had learned (Wang, 2023;Zhang et al., 2023).”

    From A systematic review of the early impact of artificial intelligence on higher education curriculum, instruction, and assessment (2025) · cites this paper as Zhang et al., 2023

    The Introduction describes smart classrooms using VR simulations to expose students to real-world situations, and the English Language and Literature Smart Classroom section describes simulations in which students apply what they have learned. Neither passage says the technology simulates a real classroom, practicum, or internship specifically. (LLM, conf=0.84)

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  • Zhang et al. (2023) designed and experimented with an intelligent classroom for English language and literature courses in China, and found that this AI tool provided the experimental group with a good learning environment and enhanced students' language proficiency.

    “Additionally, Zhang et al. (2023) designed and experimented with an intelligent classroom for English language and literature courses in China, and found that this AI tool provided the experimental group with a good learning environment and enhanced students' language proficiency.”

    From A systematic review of the early impact of artificial intelligence on higher education curriculum, instruction, and assessment (2025) · cites this paper as Zhang et al. (2023)

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Research works printed but not linked: 25

  1. Barbounis, T. G., J. B. Theocharis, M. C. Alexiadis, and P. S. Dokopoulos. 2006. Long-term wind speed and power forecasting using local recurrent neural network models. IEEE Transactions on Energy Conversion 21 (1):273-84. doi:10.1109/TEC.2005.847954. · DOI
  2. Bland, J. 2013. Children's literature and learner empowerment. Children and Teenagers in English Language Education (CONCLUSION). International Research in Children S Literature 8 (1):93-95.
  3. Cheng, L., Z. G. Hou, Y. Lin. 2011. Recurrent neural network for non-smooth convex optimization problems with application to the identification of genetic regulatory networks. IEEE Transactions on Neural Networks. 22(5):714-26. doi:10.1109/TNN.2011. 2109735. · DOI
  4. Chen, C., J. Jiang, R. Fu, L. Chen, C. Li, and S. Wan. 2021. An intelligent caching strategy considering time-space characteristics in vehicular named data networks. IEEE Transactions on Intelligent Transportation Systems 23 (10):19655-67. doi:10.1109/TITS.2021.3128012. · DOI
  5. Chen, C., J. Jiang, Y. Zhou, N. Lv, X. Liang, and S. Wan. 2022. An edge intelligence empowered flooding process prediction using internet of things in smart city. Journal of Parallel and Distributed Computing 165:66-78. doi:10.1016/j.jpdc.2022.03.010. · DOI
  6. Chen, C., H. Li, H. Li, R. Fu, Y. Liu, and S. Wan. 2022. Efficiency and fairness oriented dynamic task offloading in internet of vehicles. IEEE Transactions on Green Communications and Networking 6 (3):1481-93. doi:10.1109/TGCN.2022.3167643. · DOI
  7. Chen, C., Y. Zeng, H. Li, Y. Liu, and S. Wan. 2022. A multi-hop task offloading decision model in MEC-enabled internet of vehicles. IEEE Internet of Things Journal 10 (4):3215-30. doi:10. 1109/JIOT.2022.3143529. · DOI
  8. Du, T. T. 2022. Teaching and learning literature in the english language curriculum in vietnamese university education: Problems and solutions. Journal of Psychology Research 12 (5):10. doi:10.17265/2159-5542/2022.05.005. · DOI
  9. Eser, J., P. Zheng, J. Triesch, and D. Durstewitz. 2014. Nonlinear dynamics analysis of a self-organizing recurrent neural network: chaos waning. PLos One 9 (1):e86962. doi:10. 1371/journal.pone.0086962. · DOI
  10. Jiang, D., and J. Wang. 1993. A recurrent neural network for real-time semidefinite programming. Applied Mathematics and Computation 55 (1):89-100. doi:10.1016/0096- 3003(93)90007-2. · DOI
  11. Kafipour, R. 2014. International journal of english language and literature studies. Aessweb Com 3 (3):99-116.
  12. Keiko, O. Z. A., and W. A. Akiko. 2016. Late night meals and obesity: A systematic review using english-language literature. Japanese Journal of Health Education and Promotion 24 (4):205-16.
  13. Kim, Y. H., F. L. Lewis, and C. T. Abdallah. 1997. A dynamic recurrent neural-network-based adaptive observer for a class of nonlinear systems. Automatica 33 (8):1539-43. doi:10.1016/ S0005-1098(97)00065-4. · DOI
  14. Liang, X. B., and J. Wang. 2000. A recurrent neural network for nonlinear optimization with a continuously differentiable objective function and bound constraints. IEEE Transactions on Neural Networks 11 (6):1251-62. doi:10.1109/72.883412. · DOI
  15. Li, H., S. Y. Qu, and C. M. Scherpereel. 2016. Research progress in alliance stability: A content and comparative analysis of the english-and Chinese-language literature. International Journal of Strategic Business Alliances 5 (2):110-32. doi:10.1504/IJSBA.2016.079384. · DOI
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  17. Noori, M., and G. Mazdayasna. 2014. A triangulated study of target situation needs of iranian undergraduate students of english language and literature. Procedia -Social & Behavioral Sciences 98 (1):1374-79. doi:10.1016/j.sbspro.2014.03.555. · DOI
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  24. Xu, R., D. W. Ii, and R. Frank. 2007. Inference of genetic regulatory networks with recurrent neural network models using particle swarm optimization. IEEE/ACM Transactions on Computational Biology & Bioinformatics 4 (4):681-92. doi:10.1109/TCBB.2007.1057. · DOI
  25. Zhao, M., C. Chen, L. Liu, D. Lan, and S. Wan. 2022. Orbital collaborative learning in 6G space-air-ground integrated networks. Neurocomputing 497:94-109. doi:10.1016/j.neucom. 2022.04.098. · DOI

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Sorted by citations

Authors
Zhang, X., Sun, J., & Deng, Y.
Affiliations
Foreign Language School, Heilongjiang Institute of Technology, Harbin, Heilongjiang, China
Venue
Applied Artificial Intelligence
Publisher
Informa UK Limited
Published
2023-05-24
Volume
37
Issue
1
ISSN
  • 0883-9514
  • 1087-6545
DOI
10.1080/08839514.2023.2216051
Cited by
46
References
1
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (vor)

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