research-article

Gut Instinct: Creating Scientific Theories with Online Learners

Authors:

Justine Debelius,

Embriette R. Hyde,

Tomasz Kosciolek,

Scott KlemmerAuthors Info & Claims

CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Pages 6825 - 6836

https://doi.org/10.1145/3025453.3025769

Published: 02 May 2017 Publication History

Abstract

Learners worldwide collectively spend millions of hours per week testing their skills on assignments with known answers. Might some of this time fruitfully be spent posing and exploring novel questions? This paper investigates an approach for learners to contribute scientific ideas. The Gut Instinct system embodies this approach, hosting online learning materials and invites learners to collaboratively brainstorm potential influences on people's microbiome. A between-subjects experiment compared the performance of participants who engaged in just learning, just contributing, or a combination. Participants in the learning condition scored highest on a summative test. Participants in both the contribution and combined conditions generated novel, useful questions; there was not a significant difference between the two. Though participants in the combined condition both learned and contributed, this setting did not exhibit an additive benefit, such as better learning in the combined condition. These results highlight the promise and difficulty of double-bottom-line learning experiences.

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Index Terms

Gut Instinct: Creating Scientific Theories with Online Learners
1. Applied computing
  1. Education

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cover image ACM Conferences

CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

May 2017

7138 pages

ISBN:9781450346559

DOI:10.1145/3025453

General Chairs:
Gloria Mark
University of California Irvine
,
Susan Fussell
Cornell University
,
Program Chairs:
Cliff Lampe
University of Michigan
,
m.c. schraefel
University of Southampton
,
Juan Pablo Hourcade
University of Iowa
,
Caroline Appert
Université Paris-Sud
,
Daniel Wigdor
University of Toronto

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Published: 02 May 2017

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https://dl.acm.org/doi/10.1145/3637327
Zhang YHe CWang HLu Z(2023)Understanding Communication Strategies and Viewer Engagement with Science Knowledge Videos on BilibiliProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581476(1-18)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581476
Mutalova RSarrazin-Gendron RCai ERichard GGhasemloo Gheidari PCaisse SKnight RBlanchette MSzantner AWaldispühl J(2023)Playing the System: Can Puzzle Players Teach us How to Solve Hard Problems?Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581375(1-15)Online publication date: 19-Apr-2023
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