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探究人工智能支持的5E(AI-s5E)教学模式对空间能力的影响。

Investigating the Impact of the AI-Supported 5E (AI-s5E) Instructional Model on Spatial Ability.

作者信息

Gürefe Nejla, Sarpkaya Aktaş Gülfem, Öksüz Hava

机构信息

Faculty of Education, Mersin University, Mersin 33100, Turkey.

Faculty of Education, Çukurova University, Adana 01330, Turkey.

出版信息

Behav Sci (Basel). 2024 Aug 6;14(8):682. doi: 10.3390/bs14080682.

DOI:10.3390/bs14080682
PMID:39199078
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11351208/
Abstract

Improving students' spatial abilities is an important goal in education. Spatial ability is a skill needed in many fields, such as science, mathematics, engineering, and architecture. Since this ability can be improved through training, this study adopted a quasi-experimental design to investigate the effects of an artificial intelligence-supported 5E (AI-s5E) instructional model on students' spatial visualization, spatial relationships, and spatial orientation performances that explain their spatial abilities. A total of 43 students from two classes at a secondary school in western Turkey were recruited to participate in this study. One of the classes was the experimental group (f = 23), which adopted the AI-s5E approach, and the other class was the control group (f = 20), which adopted the traditional teaching model. The results showed that the integration of the AI-s5E instructional approach into education improved students' spatial abilities and sub-dimensions. In light of the findings, it can be recommended that AI applications, which have a positive and significant impact on spatial skills, can be integrated into teachers' lessons and even included in curriculum programs.

摘要

提高学生的空间能力是教育中的一个重要目标。空间能力是许多领域所需的一项技能,如科学、数学、工程和建筑领域。由于这种能力可以通过训练得到提高,本研究采用准实验设计,以探究人工智能支持的5E(AI-s5E)教学模式对学生空间可视化、空间关系和空间定向表现的影响,而这些表现解释了他们的空间能力。来自土耳其西部一所中学两个班级的43名学生被招募参与本研究。其中一个班级是实验组(n = 23),采用AI-s5E方法,另一个班级是对照组(n = 20),采用传统教学模式。结果表明,将AI-s5E教学方法融入教育可提高学生的空间能力及其子维度。根据研究结果,建议对空间技能有积极且显著影响的人工智能应用可融入教师的课程中,甚至纳入课程计划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43a9/11351208/dd93ef7ea08d/behavsci-14-00682-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43a9/11351208/9d44bc8c2505/behavsci-14-00682-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43a9/11351208/e06d4fd63fe9/behavsci-14-00682-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43a9/11351208/8d61f46bb113/behavsci-14-00682-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43a9/11351208/f39c031b732d/behavsci-14-00682-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43a9/11351208/dd93ef7ea08d/behavsci-14-00682-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43a9/11351208/9d44bc8c2505/behavsci-14-00682-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43a9/11351208/38fab9f3fa2d/behavsci-14-00682-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43a9/11351208/04f024d15002/behavsci-14-00682-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43a9/11351208/282b320ee54a/behavsci-14-00682-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43a9/11351208/862f953cca8e/behavsci-14-00682-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43a9/11351208/e06d4fd63fe9/behavsci-14-00682-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43a9/11351208/8d61f46bb113/behavsci-14-00682-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43a9/11351208/f39c031b732d/behavsci-14-00682-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43a9/11351208/dd93ef7ea08d/behavsci-14-00682-g010.jpg

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