课堂中的公民科学:数据质量与学生参与

Elizabeth Brown, Hung-Ling Liu
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摘要

该项目试图通过两个重点对课堂公民科学项目进行评估:1)该项目是否能通过提高学生的科学参与度而使学生受益;2)学生是否能生成高质量的数据。切萨皮克湾流域一所农村高中的两个生物荣誉班和四个环境研究班共 116 名学生收集了当地溪流的水质数据。专业人员在同一地区收集的水质数据是通过电子邮件从当地水处理公司获得的。学生数据的质量是通过比较学生数据和专业数据以及在项目前后通过简答题激发学生对数据质量的理解来确定的。使用李克特(Likert)类型的问卷对项目前后学生的情感和行为参与度进行了测量和比较,并通过观察对他们的行为参与度进行了量化。结果表明,根据非配对 t 检验,使用高质量工具收集的学生数据与专业数据相似。学生自我报告的参与度没有变化,但学生观察到的行为参与度在干预后显著提高。学生数据与专业数据之间的相似性以及学生行为科学参与度的提高表明,公民科学有可能在提高学生参与度的同时提供高质量的数据集,从而使学生和科学家同时受益。该项目对正规和非正规科学教育提供者,以及那些有兴趣为青少年和成年人开发公民科学项目的人都有借鉴意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Citizen Science in the Classroom: Data Quality and Student Engagement
This project sought to evaluate a citizen science project in the classroom via two foci: 1) whether the project could benefit students by increasing their science engagement, and 2) whether students could generate high-quality data. A total of 116 students in two honors biology and four environmental studies classes at a rural high school in the Chesapeake Bay watershed gathered water-quality data from a local stream. Water-quality data gathered from the same area by professionals were obtained from the local water treatment company via email. The quality of the student data was determined by comparing student data to professional data, as well as by eliciting students’ understanding of data quality before and after the project via short-answer questions. Students’ emotional and behavioral engagement were measured and compared before and after the project using a Likert-type questionnaire, and their behavioral engagement was additionally quantified via observation. The results showed that student data gathered using high-quality instruments were similar to professional data, according to unpaired t-tests. Students’ self-reported engagement did not change, but the students’ observed behavioral engagement was significantly higher post-intervention. The similarity between student and professional data and the increase in students’ behavioral-science engagement show that citizen science has the potential to benefit both students and scientists at the same time, by providing a high-quality dataset while increasing student engagement. This project has implications for formal and informal science education providers, and those interested in developing citizen science programs for youth and adults.
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