Shedding Light on Identity Development in an Educational Data Science Fellowship Program (Poster 46)

• In Event: Friday Poster Session 7:45 am
  In Poster Session: Learning Sciences SIG Poster Session 1: STEM Learning, Motivation, Culture, and Design-Based Research

Abstract

We utilize an identity development framework to conceptualize learning among 14 undergraduates in a data science program for traditionally underrepresented learners. We make use of semi-structured interviews to understand what attracted learners to the program, and what program features are salient to identity development. We demonstrate the utility of using an identity framework by presenting three emergent themes. First, social capital frames how learners position themselves in relation to data science. Second, how mentors affect identity development through providing (or not providing) opportunities for competency development and revealing aspects of their own identity development. Third, how learners draw from a well of competencies when learning new skills. From these themes we discuss design implications for building equitable data science programs.

Authors

• Seth Van Doren, University of California - Irvine

• Jessica Cai, Northwestern University

• Ha Nguyen, University of North Carolina - Chapel Hill

• Fernando Rodriguez, University of California - Irvine

• June Ahn, University of California - Irvine