Abstract

Citizen science (CS) projects engage citizens for research purposes and promote individual learning outcomes such as scientific reasoning (SR) skills. SR refers to participants’ skills to solve problems scientifically. However, the evaluation of CS projects’ effects on learning outcomes has suffered from a lack of assessment instruments and resources. Assessments of SR have most often been validated in the context of formal education. They do not contextualize items to be authentic or to represent a wide variety of disciplines and contexts in CS research. Here, we describe the development of an assessment instrument that can be flexibly adapted to different CS research contexts. Furthermore, we show that this assessment instrument, the SR questionnaire, provides valid conclusions about participants’ SR skills. We found that the deep-structure and surface features of the items in the SR questionnaire represent the thinking processes associated with SR to a substantial extent. We suggest that practitioners and researchers consider these item features in future adaptations of the SR questionnaire. This will most likely enable them to draw valid conclusions about participants’ SR skills and to gain a deeper understanding of participants’ SR skills in CS project evaluation.

Highlights

  • Growing numbers of citizen science (CS) projects engage citizens in scientific research to collect and process large data sets (e.g., Zooniverse projects; Cox et al 2015) and to promote individual learning outcomes (ILOs) (Jordan, Ballard, and Phillips 2012)

  • This research investigated the influence of item features on item difficulty in a scientific reasoning questionnaire (SRQ)

  • The identification of item features that influence item difficulty is crucial in the assessment of the SR skills of CS participants

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Summary

Introduction

Growing numbers of citizen science (CS) projects engage citizens in scientific research to collect and process large data sets (e.g., Zooniverse projects; Cox et al 2015) and to promote individual learning outcomes (ILOs) (Jordan, Ballard, and Phillips 2012). Enhanced participation of citizens in scientific research should promote knowledge of science and science inquiry skills that can include skills related to scientific reasoning (SR) (Phillips et al 2018). While science inquiry skills comprise all abilities that are required for tasks in the scientific endeavor, only some skills, such as designing investigations and analyzing data, are related to SR (Stylinski et al 2020). In CS projects that involve participants in inquiry approaches for learning (e.g., Aristeidou et al 2020), SR skills might foster the achievement of other ILOs (Edwards et al 2017), for example, behavioral beliefs (Bruckermann et al 2021)

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