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Abstract Title: Emergent Attitudinal Profiles of Introductory Engineering Students
Abstract: Traditionally, education studies that explicitly or implicitly examine differences between normative and non-normative groups have based their analysis by choosing a particular pre-defined normative group (e.g. majority race students), and then draw comparisons against that group. The researcher thus imposes a priori definitions of both what is important and how to group students for comparisons. This can put the research at odds with an intersectional approach to understanding individuals. A quantitative topological data analysis (TDA) allows us to answer research questions in a way that respects the intersectional diversity of the students. Using only quantitative affective data, including a spectrum of attitudes, beliefs and identity measures, but not student demographic information, we allow student responses to form emergent attitudinal profiles that define the normative characteristics of our sample of introductory engineering students.
Abstract Type: Symposium Poster
Parallel Session: Methodologies Using Identity Frameworks

Author/Organizer Information

Primary Contact: Jacqueline Doyle
Florida International University
and Co-Presenter(s)
Geoff Potvin