Cross-Project Analysis of Volunteers’ Scientific Observation Skills

Q1 Multidisciplinary Citizen Science Theory and Practice Pub Date : 2023-09-04 DOI:10.5334/cstp.628
Veronica Del Bianco, K. Peterman, Rachel Becker-Klein, Cathlyn Davis, Andrea Grover, Tina Phillips
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引用次数: 0

Abstract

This paper explores the assumptions that citizen science (CS) project leaders had about their volunteers’ science inquiry skill–proficiency overall, and then examines volunteers’ actual proficiency in one specific skill, scientific observation, because it is fundamental to and shared by many projects. This work shares findings from interviews with 10 project leaders related to two common assumptions leaders have about their volunteers’ skill proficiency: one, that volunteers can perform the necessary skills to participate at the start of a CS project, and therefore may not need training; and two, volunteer skill proficiency improves over time through involvement in the CS project. In order to answer questions about the degree of accuracy to which volunteers can perform the necessary skills and about differences in their skill proficiency based on experience and data collection procedures, we analyzed data from seven CS projects that used two shared embedded assessment tools, each focused on skills within the context of scientific observation in natural settings: Notice relevant features for taxonomic identification and record standard observations. This across-project and cross-sectional study found that the majority of citizen science volunteers (n = 176) had the necessary skill proficiency to collect accurate scientific observations but proficiency varied based on volunteer experience and project data collection procedures.
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志愿者科学观察技能的跨项目分析
本文探讨了公民科学(CS)项目负责人对志愿者的科学探究技能的总体熟练程度的假设,然后考察了志愿者对一项特定技能的实际熟练程度,科学观察,因为它是许多项目的基础和共享。这项工作分享了对10位项目负责人的采访结果,这些调查结果与领导者对志愿者技能熟练程度的两种常见假设有关:第一,志愿者可以在CS项目开始时完成参与所需的技能,因此可能不需要培训;第二,通过参与CS项目,志愿者的技能熟练程度会随着时间的推移而提高。为了回答志愿者执行必要技能的准确性以及基于经验和数据收集程序的技能熟练程度差异的问题,我们分析了来自7个CS项目的数据,这些项目使用了两种共享的嵌入式评估工具,每个工具都侧重于自然环境中科学观察背景下的技能:注意分类识别的相关特征和记录标准观察。这项跨项目和横断面研究发现,大多数公民科学志愿者(n = 176)具有收集准确科学观察的必要技能熟练程度,但熟练程度因志愿者经验和项目数据收集程序而异。
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来源期刊
Citizen Science Theory and Practice
Citizen Science Theory and Practice Multidisciplinary-Multidisciplinary
CiteScore
4.70
自引率
0.00%
发文量
25
审稿时长
45 weeks
期刊最新文献
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