基于人工智能的化学和物理诺贝尔奖对教育的影响

IF 2.5 3区 教育学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Chemical Education Pub Date : 2024-11-12 DOI:10.1021/acs.jchemed.4c0127510.1021/acs.jchemed.4c01275
Thomas Holme*, 
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引用次数: 0

摘要

2024 年诺贝尔化学奖和诺贝尔物理学奖似乎有可能开创一个新时代。建立工具以加强基于数据科学的人工智能(AI)方法在推动科学发展方面所发挥的作用,这一理念得到了科学界最高奖项的认可。这些方法最终是否需要改变科学本身的教学方式?要明确回答这个问题,人工智能教育工具的开发可能还为时过早。不过,现在开始考虑人工智能在科学领域的应用与在科学教育领域的应用之间的异同可能还为时不早。
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Education Implications of Artificial Intelligence-Based Chemistry and Physics Nobel Prizes

The 2024 Nobel Prizes awarded in both Chemistry and Physics appear to potentially usher in a new era. The concept that building tools to enhance the role played by data-science-based artificial intelligence (AI) approaches in advancing science has been acknowledged with the highest awards in the sciences. Will such methods ultimately require changes in the way the sciences themselves are taught? It may be too early in the development of AI tools for education to definitively answer this question. It is probably not too early, however, to start considering the similarities and differences between AI applications in the sciences and in science education.

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来源期刊
Journal of Chemical Education
Journal of Chemical Education 化学-化学综合
CiteScore
5.60
自引率
50.00%
发文量
465
审稿时长
6.5 months
期刊介绍: The Journal of Chemical Education is the official journal of the Division of Chemical Education of the American Chemical Society, co-published with the American Chemical Society Publications Division. Launched in 1924, the Journal of Chemical Education is the world’s premier chemical education journal. The Journal publishes peer-reviewed articles and related information as a resource to those in the field of chemical education and to those institutions that serve them. JCE typically addresses chemical content, activities, laboratory experiments, instructional methods, and pedagogies. The Journal serves as a means of communication among people across the world who are interested in the teaching and learning of chemistry. This includes instructors of chemistry from middle school through graduate school, professional staff who support these teaching activities, as well as some scientists in commerce, industry, and government.
期刊最新文献
Issue Editorial Masthead Issue Publication Information Education Implications of Artificial Intelligence-Based Chemistry and Physics Nobel Prizes Understanding Student Help-Seeking for Contextualizing Chemistry through Curated Chatbot Data Analysis Do You Want to Make a Battery? Insights from the Development and Evaluation of a Chemistry Public Engagement Activity.
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