Turning the King Tide: Understanding Dialogue and Principal Drivers in an Online Co-Created Investigation

Online learning communities for citizen science have been growing in number and scale in recent years. The 'WeatherBlur' project was designed to apply knowledge-building theory to a non-hierarchical online citizen science community for students in grades three to eight, their teachers, and...

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Bibliographic Details
Main Authors: Karen Peterman, Christine Bevc, Ruth Kermish-Allen
Format: Article
Language:English
Published: Ubiquity Press 2019-02-01
Series:Citizen Science: Theory and Practice
Subjects:
Online Access:https://theoryandpractice.citizenscienceassociation.org/articles/189
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spelling doaj-c2dd9d4aee0143d88c82a6d6d8fb08cf2020-11-24T21:26:41ZengUbiquity PressCitizen Science: Theory and Practice2057-49912019-02-014110.5334/cstp.18941Turning the King Tide: Understanding Dialogue and Principal Drivers in an Online Co-Created InvestigationKaren Peterman0Christine Bevc1Ruth Kermish-Allen2Karen Peterman Consulting, Co.RTI InternationalMaine Mathematics & Science AllianceOnline learning communities for citizen science have been growing in number and scale in recent years. The 'WeatherBlur' project was designed to apply knowledge-building theory to a non-hierarchical online citizen science community for students in grades three to eight, their teachers, and scientists. This case study explores one investigation to determine the kinds of interactions that encouraged online knowledge-building and the individuals who served as the key drivers for the investigation. Posts from the project’s discussion board were analyzed via a discourse analysis. The results indicated that students, teachers, and scientists initiated online discourse at similar rates, affirming the project’s non-hierarchical design. Two knowledge-building constructs were used to initiate dialogue, including comments that added to the quantity and then quality of information in the conversation and those that included some conceptual advancement. Photos were also used more often to initiate rather than respond to conversation. By comparison, ongoing conversation was sustained by comments that enhanced the quality of information shared. Using activity log data, the results from a social network analysis indicated high variation in posting frequency, high probability of reciprocity, and dense core-periphery structure. Both the discourse analysis and social network analysis revealed multiple ways for individuals to become core to the network and thus primary drivers for the investigation. The findings are discussed in relation to knowledge-building in online citizen science communities.https://theoryandpractice.citizenscienceassociation.org/articles/189onlinecommunitydiscourseknowledge-buildingnetwork analysis
collection DOAJ
language English
format Article
sources DOAJ
author Karen Peterman
Christine Bevc
Ruth Kermish-Allen
spellingShingle Karen Peterman
Christine Bevc
Ruth Kermish-Allen
Turning the King Tide: Understanding Dialogue and Principal Drivers in an Online Co-Created Investigation
Citizen Science: Theory and Practice
online
community
discourse
knowledge-building
network analysis
author_facet Karen Peterman
Christine Bevc
Ruth Kermish-Allen
author_sort Karen Peterman
title Turning the King Tide: Understanding Dialogue and Principal Drivers in an Online Co-Created Investigation
title_short Turning the King Tide: Understanding Dialogue and Principal Drivers in an Online Co-Created Investigation
title_full Turning the King Tide: Understanding Dialogue and Principal Drivers in an Online Co-Created Investigation
title_fullStr Turning the King Tide: Understanding Dialogue and Principal Drivers in an Online Co-Created Investigation
title_full_unstemmed Turning the King Tide: Understanding Dialogue and Principal Drivers in an Online Co-Created Investigation
title_sort turning the king tide: understanding dialogue and principal drivers in an online co-created investigation
publisher Ubiquity Press
series Citizen Science: Theory and Practice
issn 2057-4991
publishDate 2019-02-01
description Online learning communities for citizen science have been growing in number and scale in recent years. The 'WeatherBlur' project was designed to apply knowledge-building theory to a non-hierarchical online citizen science community for students in grades three to eight, their teachers, and scientists. This case study explores one investigation to determine the kinds of interactions that encouraged online knowledge-building and the individuals who served as the key drivers for the investigation. Posts from the project’s discussion board were analyzed via a discourse analysis. The results indicated that students, teachers, and scientists initiated online discourse at similar rates, affirming the project’s non-hierarchical design. Two knowledge-building constructs were used to initiate dialogue, including comments that added to the quantity and then quality of information in the conversation and those that included some conceptual advancement. Photos were also used more often to initiate rather than respond to conversation. By comparison, ongoing conversation was sustained by comments that enhanced the quality of information shared. Using activity log data, the results from a social network analysis indicated high variation in posting frequency, high probability of reciprocity, and dense core-periphery structure. Both the discourse analysis and social network analysis revealed multiple ways for individuals to become core to the network and thus primary drivers for the investigation. The findings are discussed in relation to knowledge-building in online citizen science communities.
topic online
community
discourse
knowledge-building
network analysis
url https://theoryandpractice.citizenscienceassociation.org/articles/189
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