Exploration and Practice of AI-Empowered English Teaching in the Forest Protection Major
Year: 2024
Type: article
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.
Source: Higher education and practice.
DOI: 10.62381/h241a12
Authors: Hualing Wang, Zhongtao Li, Xiaoyu Su, VuongThi MinhDien, Jianyong Zeng, Ningning Fu, Yongguo Bi, Huiping Li
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409452932