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Turking Statistics

Student-generated Surveys Increase Student Engagement and Performance

Bibliographic Data

ID11062361
AuthorsCameron T Whitley (0000-0002-5680-0598, Michigan State University, East Lansing, MI, USA), Thomas Dietz (0000-0002-3041-3127, Michigan State University, East Lansing, MI, USA)
Year2018
Volume46
Issue1
Pages44-53
Publication date2018-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTeaching Sociology (JOURNAL)
Journal identifiersISSN: 0092-055X • E-ISSN: 1939-862X
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0092055x17721952
OpenAlexW2737972565
LanguageEN
Citations received7
References cited14

Thirty years ago, Hubert M. Blalock Jr. published an article in Teaching Sociology about the importance of teaching statistics. We honor Blalock’s legacy by assessing how using Amazon Mechanical Turk (MTurk) in statistics classes can enhance student learning and increase statistical literacy among social science gradaute students. In addition, we assess whether using MTurk has an impact on student ability to make professional progress. We find that, compared to traditional teaching methods, using MTurk increased student performance, perceptions, and outcomes. In addition, using MTurk resulted in a measurable increase in statistical literacy. We recommend that instructors teaching statistics consider how MTurk or similar technologies can be used in their classrooms

Amazon rainforest · Honor · Literacy · Mathematics education · Pedagogy · Perception · Sociology · Statistical analysis · Statistics · Statistics education · Computer Science · Mathematics · Mobile Crowdsensing and Crowdsourcing · Psychology · Species Distribution and Climate Change · Statistics Education and Methodologies

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Unique citing works7
Citations per year0,88
Citation span2018 - 2025 (8)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 7

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