纽约市四年级的学生如果接受了气候变化课程和水培园艺课程，他们的科学成就分数会更高

Q2 Social Sciences

Applied Environmental Education and Communication Pub Date : 2019-05-06 DOI:10.1080/1533015X.2019.1611504

Kate G. Burt, Marissa Burgermaster, Dina D’Alessandro, Rachel Paul, M. Stopler

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引用次数: 5

摘要

我们比较了2014 - 2015年接受纽约太阳工程(NYSW)计划的四年级学生(n = 638)与两组学生(n = 993)的纽约州科学评估成绩，两组学生分别是第二年接受NYSW计划的学生(n = 1490)。我们首先应用多层次回归模型比较NYSW受助人与第一对照组的得分，结果显示NYSW受助人得分不显著但较高。然后，我们使用Welsch双样本t检验将NYSW接受者的成就分数与两个对照组进行比较。平均而言，NYSW接受者的得分明显高于两个对照组(p < 0.001)。结果表明，进一步的测试应探讨气候变化教育对科学成就的影响。

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New York City fourth graders who receive a climate change curriculum with hydroponic gardening have higher science achievement scores

Abstract We compared 2014–15 New York State Science Assessment scores of fourth grade students who received the New York Sun Works (NYSW) Program (n = 638) with two comparison groups: students who received NYSW the following year (n = 993) and students attending matched schools (n = 1490). We first applied a multi-level regression model to compare scores between NYSW recipients and the first comparison group, which revealed non-significant but higher scores among NYSW recipients. We then compared the achievement scores of the NYSW recipients to both comparison groups using Welsch two sample t-tests. On average, NYSW recipients scored significantly higher than both the comparison groups (p < 0.001). Results suggest that further testing should explore the impact of climate change education on science achievement.

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来源期刊

Applied Environmental Education and Communication Social Sciences-Communication

CiteScore

2.30

自引率

0.00%

发文量

期刊介绍： Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.