Monday, January 2, 2017

Petrosino and Mann (2017): "Data Modeling for Pre-Service Teachers and Everyone Else"- Journal of College Science Teaching

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Your manuscript entitled "Data Modeling for Pre-Service Teachers and Everyone Else" has been successfully submitted online and is presently being given full consideration for publication in the Journal of College Science Teaching.

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Summary of PaperThis research was aimed at developing teacher thinking about data modeling. Data modeling is a description of the way data is organized. In the past, teachers were expected to teach science from the ideas of science–as-reasoning and science-as-conceptual-change however with the introduction of NGSS, teachers now need to incorporate science-as-practice.   NGSS integrates eight practices of science, which students are to use from kindergarten onward. These practices are asking questions, developing and using models, designing and conducting investigations, using data, using computational thinking, constructing explanations, using argument from evidence and obtaining, evaluating and communicating information. All of these practices are part of the curriculum the preservice teachers enacted during this research.  Future teachers need to have opportunities to use these practices.  Without a solid understanding about how to gather data, and the variability of data it is not possible to correctly interpret data or correctly use arguments supported by data. These skills are needed by all K-16 students including preservice teacher educators.  Statistics are ubiquitous and we all need to understand what the data mean. We have also used this same curriculum with science and engineering majors to help them better understand data modeling. Our position is that data modeling is a process that all K-16 students need to understand.