TITLE:
Research on the Application of ChatGPT Technology in Landscape Ecology Teaching
AUTHORS:
Nuosi Li, Qiuyue Chen, Meijiang Liu, Xinya Zhou, Youyou Huang
KEYWORDS:
Landscape Ecology, ChatGPT Technology, Teaching Practice, AI Intelligence
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.13 No.4,
April
29,
2025
ABSTRACT: As an emerging branch of ecology, landscape ecology is distinguished by its focus on addressing ecological issues at large spatial and temporal scales. It has not only made continuous progress in conceptual frameworks, theoretical systems, and quantitative methods, but has also demonstrated extensive application value in extensive fields such as urban and rural planning, forest and pasture management, environmental protection, and tourism design. This discipline has introduced novel modes of thinking and research methodologies into the field of ecology, driving its ongoing advancement. Generative artificial intelligence, represented by ChatGPT, can accomplish complex tasks such as information retrieval, problem-solving, content creation, and code generation through an open-ended dialogue with its robust natural language processing capabilities. Its capabilities increasingly approximate human intelligence and even extend or partially substitute it, exhibiting broad and flexible applicability. Integrating ChatGPT technology into the teaching practice of “Landscape Ecology” represents an interdisciplinary pedagogical innovation, introducing fresh perspectives, methods, and challenges to the curriculum. This study takes the specific application of ChatGPT technology in “Landscape Ecology” classrooms as an example to deeply explore and understand the promotion and application of new AI intelligent technologies in professional university courses.