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ERIC Number: EJ1162357
Record Type: Journal
Publication Date: 2017-Nov
Pages: 30
Abstractor: As Provided
ISSN: EISSN-1570-1824
An Analysis of Secondary Teachers' Reasoning with Participatory Sensing Data
Gould, Robert; Bargagliotti, Anna; Johnson, Terri
Statistics Education Research Journal, v16 n2 p305-334 Nov 2017
Participatory sensing is a data collection method in which communities of people collect and share data to investigate large-scale processes. These data have many features often associated with the big data paradigm: they are rich and multivariate, include non-numeric data, and are collected as determined by an algorithm rather than by traditional experimental designs. While not often found in classrooms, arguably they should be since data with these features are commonly encountered in daily life. Because of this, it is of interest to examine how teachers reason with and about such data. We propose methods for describing progress through a statistical investigation. These methods are demonstrated on two groups of secondary mathematics teachers engaged in a model-eliciting activity centered around participatory sensing data. We employ graphical depictions of discrete Markov chains to describe the strategic decisions the teachers follow while analyzing data, and find that this descriptive technique reveals some suggestive patterns, particularly emphasizing the importance of frequent questioning and crafting productive statistical questions.
International Association for Statistics Education and the International Statistical Institute. PO Box 24070, 2490 AB The Hague, The Netherlands. Tel: +31-70-3375737; Fax: +31-70-3860025; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Research; Tests/Questionnaires
Education Level: Secondary Education
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Identifiers - Location: California (Los Angeles)
Grant or Contract Numbers: 0962919