Exploration on Teaching Reform of Remote Sensing Science and Technology Specialty in the Era of Artificial Intelligence
刊名 Asian Agricultural Research
作者 Yunhai HU, Peiye YANG
作者单位 School of Human Settlements, Mianyang Teacher’s College
DOI 10.19601/j.cnki.issn1943-9903.2026.03.009
年份 2026
刊期 3
页码 42-44
关键词 Artificial intelligence (AI), Remote Sensing Science and Technology, Teaching reform
摘要 In the current teaching of Remote Sensing Science and Technology in higher education institutions, educators must recognize the significant impact and promotional role of artificial intelligence technology on the discipline. This necessitates a comprehensive and deep-rooted reform of the entire curriculum system and places higher demands on talent cultivation. Traditional teaching methods in this field often face prominent challenges, including inadequate technological integration, underdeveloped teaching resources, and insufficient cultivation of students’ practical abilities. To address these issues, it is imperative for educators to fully understand how to correctly develop and innovate remote sensing pedagogy in the era of AI. This paper proposes targeted reform strategies focusing on faculty development, curriculum system optimization, teaching resource enrichment, and practical training models. The goal is to attract more students to choose and develop a passion for this major, enabling them to achieve professional success and become highly-skilled talents equipped with interdisciplinary awareness, innovative thinking, and strong practical abilities.