Using Non-traditional Data to Build Data Dispositions

Abstract

Working with non-traditional data such as personal photographs, teacher trainees identified themes and considered different dispositions that learners cultivate when working with data. By classifying and questioning elements within a set of shared photographs, teacher trainees were able to generate traditional data elements for analysis and reflect upon the role of identity, awareness, and curiosity during a statistical investigation. Additionally, technical tools were used to glean data from the photographs. By first estimating values, the teacher trainees compared machine-generated data with human evaluations. Throughout the process of developing a story about their data, teacher trainees were encouraged to take ethical considerations into account and identify issues that are important to consider when working with learners and data.