Research and Reflection on AI Empowering Lesson Preparation Stage of Junior Middle School Geography; A Case Study of the First Lesson of Japan in People's Education Press Edition.
Published In: Meteorological & Environmental Research, 2025, v. 16, n. 6. P. 35 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Wang, Zhao; JIANG, He; YANG, Dejian 3 of 3
Abstract
With the rapid development of artificial intelligence technology, the education sector is gradually exploring how AI tools to empower subject teaching. In this paper, the first lesson of Japan published by People's Education Press in the second semester of seventh grade is taken as an example, focusing on the feasibility of using AI tools for lesson preparation. Through the Meta Sota AI special topic, Kimi, deepseek, and Baidu AI images, lesson preparation is completed. Using Coze intelligent agents, interactive learning scenarios are developed to complete teaching design. Research has shown that AÏ technology can effectively improve the efficiency and quality of lesson preparation, and can assist in the implementation of core competencies in geography. This paper can provide a reference for the operability of AÏ empowering educational and teaching activities. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Meteorological & Environmental Research. 2025/12, Vol. 16, Issue 6, p35
- Document Type:Article
- Subject Area:Education
- Publication Date:2025
- ISSN:2152-3940
- DOI:10.19547/j.issn2152-3940.2025.06.009
- Accession Number:191250866
- Copyright Statement:Copyright of Meteorological & Environmental Research is the property of WuChu (USA - China) Science & Culture Media Corporation 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.)
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