embedded assessment as an essential method for understanding public engagement in citizen science

embedded assessment as an essential method for understanding public engagement in citizen science

;Rachel Becker-Klein;Karen Peterman;Cathlyn Stylinski
citizen science: theory and practice 2016 Vol. 1 pp. -
135
becker-klein2016citizenembedded

Abstract

Citizen science is an important way of engaging a broad range of audiences in science inquiry by participating in research that asks novel questions and unearths new knowledge and new questioning. Though citizen science projects are quite diverse in their scientific pursuits, all projects share the common element of involving volunteers directly in some aspect of science inquiry. Thus, it is essential for citizen science projects to determine their participants’ capacity to learn and successfully perform science inquiry skills, such as making scientific observations, collecting and analyzing data, and sharing findings. Such skill gains are essential to (a) ensure high quality data that can be used in meaningful scientific research, and (b) achieve broader goals such as developing a participant’s identity as a contributor to science. However, we do not yet fully understand how improvement in participants’ inquiry skills through citizen science advances our knowledge of public engagement with science. In this essay, we offer embedded assessment as an effective method to capture participant skill gains, and encourage citizen science leaders, evaluators, and researchers to develop authentic methods that address the complexities of measuring skill development within the context of citizen science.

Citation

ID: 231258
Ref Key: becker-klein2016citizenembedded
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
231258
Unique Identifier:
10.5334/cstp.15
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet