Bibliographic Details
| Title: |
高中地理教学应用人工智能的风险审视 ——以"福州市三坊七巷的产业结构变化"为例. |
| Alternate Title: |
An Examination of the Risks in Applying Artifi cial Intelligence to Senior High School Geography Teaching——Taking "Industrial Structure Changes in San-fang Qi-xiang, Fuzhou" as an Example. |
| Authors: |
尤凌薇1,2, 张 艳3, 程 煜1,2, 祁新华1,2 fjqxh74@163.com |
| Source: |
Geography Teaching. 7/15/2026, Issue 14, p25-31. 7p. |
| Abstract (English): |
At present, Artificial Intelligence (AI) is deeply reshaping the landscape of high school geography education. While technology offers clear advantages in making teaching processes more efficient and expanding its reach, the specific risks within the subject have not been fully examined. Therefore, this study develops a risk assessment system that covers thinking development, data collection, ethics, and social impact, using the Entropy Weight Method for quantitative analysis. Our regression analysis shows that how people use technology is the main factor causing these risks. Furthermore, a case study on "Three Lanes and Seven Alleys" confirms that AI has limits when dealing with complex human-environment relationships and teaching geographic values. By analyzing these risks through data, this paper aims to provide a guide for the smart transformation of geography teaching. We hope to ensure that while we embrace innovation, we also stay true to the core principles and educational purposes of the subject. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): |
当前, 人工智能正深刻重塑高中地理教学生态。技术赋能虽在优化教学流程、拓宽教学边界方面有着 显著优势, 但具体学科的风险未能得到充分审视。因此, 本文围绕人工智能赋能高中地理教学, 构建了涵盖思维发 展、数据获取、教育伦理及社会化维度的风险评估体系, 并运用熵值法开展量化测算。回归分析表明, 教学主体在 技术应用过程中的表现是诱发风险的主导因素。通过"三坊七巷"案例实证, 本文进一步证实了人工智能在处理复 杂人地关系问题、承载地理情感价值观方面的局限性。本文旨在通过对学科风险的量化解析, 为高中地理教学智能 化转型提供路径参考, 以期在技术创新中坚守学科底线与育人初心。 [ABSTRACT FROM AUTHOR] |
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Copyright of Geography Teaching is the property of Geography Teaching Editorial Office, East China Normal University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Education Research Complete |
