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Exploration and Practice of AI-Empowered English Teaching in the Forest Protection Major

Author(s)

Hualing Wang, Zhongtao Li, Xiaoyu Su, Vuong Thi Minh Dien, Jianyong Zeng, Ningning Fu, Yongguo Bi, Huiping Li

Affiliation(s)

Hebei Agricultural University, Baoding, Hebei, China

Abstract

The core course "Forest Protection Professional English" at the undergraduate level is indispensable for enhancing students' professional knowledge, English proficiency, and international perspective in the field of forest protection. However, students encounter various challenges in learning this course, including difficulties in vocabulary memorization, contextual understanding, lack of learning motivation, scarcity of reference materials, and cross-cultural communication barriers, all of which contribute to the complexity of their learning process. the integration of Artificial Intelligence (AI) technology has opened a new path to address these challenges. AI can simulate real-life dialogues in the context of forest protection, provide students with professional background explanations, and effectively enhance their professional knowledge and logical thinking skills. An in-depth analysis of the application of AI technology in "Forest Protection Professional English" has revealed significant improvements in teaching effectiveness. Additionally, it anticipates the broad prospects for the application of AI technology in future English teaching for forest protection majors. By exploring the application and practice of AI technology, the aim is to foster innovation in teaching methods, improve teaching quality, and contribute to cultivating more forest protection talents with an international perspective and professional competence.

Keywords

Professional English, Artificial Intelligence (AI), Teaching Innovation

References

[1] Liu, X. Y. Integration of interdisciplinary teaching concepts into college english curriculum: teaching practice and exploration [J]. Journal of Innovative Education Research [in Chinese], 2024, 12(3):82-86. [2] Yang, L. Y. et al. Blended teaching design and practice of "Forest Protection I" course guided by OBE concept [J]. Journal of China Forestry Education [in Chinese], 2024, 42(04):70-73. [3] Wu, C. X., Zhao, R. & Xu F. L. Exploration of ideological and political education in "Forest Entomology" course: a case study of forest protection major at Guizhou University [J]. Education Teaching Forum [in Chinese], 2024, (26):85-88. [4] Wu, Y. H., Liu, B. W. & Ma, X. L. Building an ecosystem of "artificial intelligence+education" [J]. Distance Education Journal [in Chinese], 2017, (5):27-39. [5] Wang, J., et al. Overview of the Current application status and future development trends of AI technology in the field of education [J]. Information Systems Engineering [in Chinese], 2020, (01):173-174. [6] Li Deyi, Ma Nan. New engineering in the era of intelligence: practical reforms in education driven by artificial intelligence [J]. Journal of Higher Engineering Education [in Chinese], 2017, (5):8-12. [7] Wang, Z. Computer-assisted EFL writing and evaluations based on artificial intelligence: A case from a college reading and writing course [J]. Library Hi Tech, 2022, (1) 80-97. [8] Strobl, C. et al. Digital support for academic writing: A review of technologies and pedagogies [J]. Computers & Education, 2019, (4):33-48. [9] Guo, Q., Feng, R. L. & Hua, Y. F. How effectively can EFL students use automated written corrective feedback (AWCF) in research writing? [J]. Computer Assisted Language Learning, 2021, (35):2312-2331. [10] Guo, Q., Feng, R. l. & Hua, Y. F. Automated written corrective feedback in research paper revision: the good, the bad, and the missing [M]. London and New York: Routledge, 2023. [11] Guo, Q., Feng, R. l. & Hua, Y. F. Application and potential issues of ChatGPT in english academic paper writing and teaching [J]. Computer-Assisted Language Learning [in Chinese], 2023, (02):18-23+107.