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从人工智能视角调查和分析 Maker 教育课程

Investigation and analysis of maker education curriculum from the perspective of artificial intelligence.

机构信息

School of Computer and Information Engineering, Nanning Normal University, Nanning, 530100, Guangxi, China.

出版信息

Sci Rep. 2024 Jan 23;14(1):1959. doi: 10.1038/s41598-024-52302-1.

DOI:10.1038/s41598-024-52302-1
PMID:38263246
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10805768/
Abstract

As an education model that focuses on the cultivation of students' creativity and practical ability, the integration of maker education and the development of artificial intelligence is of great significance. In order to analyze and study the application effect of artificial intelligence in maker education, based on this, this study adopts the method of questionnaire and case analysis to investigate and analyze students from three dimensions: learning experience, learning attitude and learning emotion, learning effect and transfer. The survey results show that, on the whole, the integration of artificial intelligence technology into maker education can significantly improve students' learning feelings and attitudes, and enhance the enthusiasm of learning emotions. The research also finds that it has a positive impact on students' learning effect and transfer ability. Learning experience, learning attitude and learning emotion, learning effect and learning transfer are related to gender, teaching time, teaching subjects or majors. Therefore, the article will suggest creating a maker cultural atmosphere, creating a maker resource space, and improving the maker education system. This provides a valuable reference for further promoting the development of maker education courses in the field of artificial intelligence.

摘要

作为一种注重培养学生创造力和实践能力的教育模式,maker 教育与人工智能的融合具有重要意义。为了分析和研究人工智能在 maker 教育中的应用效果,本研究采用问卷调查和案例分析的方法,从学习体验、学习态度和学习情感、学习效果和迁移三个维度对学生进行了调查和分析。调查结果表明,总体而言,人工智能技术融入 maker 教育可以显著提高学生的学习感受和态度,增强学习情感的积极性。研究还发现,它对学生的学习效果和迁移能力有积极的影响。学习体验、学习态度和学习情感、学习效果和学习迁移与性别、教学时间、教学科目或专业有关。因此,本文将建议营造 maker 文化氛围、创建 maker 资源空间和完善 maker 教育体系。这为进一步推动人工智能领域 maker 教育课程的发展提供了有价值的参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/116d/10805768/dbba8c86fa65/41598_2024_52302_Fig12_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/116d/10805768/dbba8c86fa65/41598_2024_52302_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/116d/10805768/97c0a1ca3976/41598_2024_52302_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/116d/10805768/0966a77cc81d/41598_2024_52302_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/116d/10805768/a427b43fd9ef/41598_2024_52302_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/116d/10805768/a29b82da36c2/41598_2024_52302_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/116d/10805768/57f50e0b6cd3/41598_2024_52302_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/116d/10805768/10ab5af1d29c/41598_2024_52302_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/116d/10805768/b78f46b5ae0e/41598_2024_52302_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/116d/10805768/dcbe73f590f9/41598_2024_52302_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/116d/10805768/1094da3a31fe/41598_2024_52302_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/116d/10805768/d90af93befe2/41598_2024_52302_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/116d/10805768/2fd1bb18d4ea/41598_2024_52302_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/116d/10805768/dbba8c86fa65/41598_2024_52302_Fig12_HTML.jpg

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