AI-Enhanced Design and Application of High School Geography Field Studies in China: A Case Study of the Yellow (Bohai) Sea Migratory Bird Habitat Curriculum DOI Creative Commons
Binglin Liu,

Weijia Zeng,

Weijiang Liu

и другие.

Algorithms, Год журнала: 2025, Номер 18(1), С. 47 - 47

Опубликована: Янв. 15, 2025

China’s Yellow (Bohai) Sea bird habitat is an important ecological region. Its unique ecology and challenges provide rich resources for research study. Our course design concept supported by AI technology, improves students’ abilities through innovative functions such as dynamic data support, personalized learning paths, immersive study experience, diversified evaluation mechanisms. The content revolves around the “human–land coordination concept”, including pre-trip thinking, during trip, post-trip exhibition learning, covering regional cognition, remote sensing image analysis, field investigation, protection plan display activities. ERNIE Bot participates in optimizing path throughout process. system starts from three dimensions of “land to people”, “people land”, “coordination human–land relationship”, adopts processes final evaluation, uses achieve real-time monitoring, reports, feedback, improving objectivity efficiency helping students teachers optimize teaching. However, has limitations geographical study, insufficient technical adaptability, influence habits, adaptation teachers’ role changes. To this end, optimization strategies quality platforms, strengthening student training, enhancing application capabilities, enriching teaching scenarios are proposed enhance effect promote innovation educational models capacity building.

Язык: Английский

AI-Enhanced Design and Application of High School Geography Field Studies in China: A Case Study of the Yellow (Bohai) Sea Migratory Bird Habitat Curriculum DOI Creative Commons
Binglin Liu,

Weijia Zeng,

Weijiang Liu

и другие.

Algorithms, Год журнала: 2025, Номер 18(1), С. 47 - 47

Опубликована: Янв. 15, 2025

China’s Yellow (Bohai) Sea bird habitat is an important ecological region. Its unique ecology and challenges provide rich resources for research study. Our course design concept supported by AI technology, improves students’ abilities through innovative functions such as dynamic data support, personalized learning paths, immersive study experience, diversified evaluation mechanisms. The content revolves around the “human–land coordination concept”, including pre-trip thinking, during trip, post-trip exhibition learning, covering regional cognition, remote sensing image analysis, field investigation, protection plan display activities. ERNIE Bot participates in optimizing path throughout process. system starts from three dimensions of “land to people”, “people land”, “coordination human–land relationship”, adopts processes final evaluation, uses achieve real-time monitoring, reports, feedback, improving objectivity efficiency helping students teachers optimize teaching. However, has limitations geographical study, insufficient technical adaptability, influence habits, adaptation teachers’ role changes. To this end, optimization strategies quality platforms, strengthening student training, enhancing application capabilities, enriching teaching scenarios are proposed enhance effect promote innovation educational models capacity building.

Язык: Английский

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