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One of the essential elements of successful data driven decision-making systems is reflective practice. However, little research exists on this topic in higher education. This qualitative study involved in-depth interviews with 21 faculty in research universities about how they reflected on teaching-related data. Results indicate that respondents engaged in three types of reflective practice: three distinct types of reflection: instrumental (i.e., rapid assessment of technical issues), structural-critical (i.e., assessment of institutional issues affecting teaching/learning), and social-critical (i.e., assessment of factors influencing student outcomes). Instrumental reflection was more common than other forms of reflection, with limited social-critical reflection accompanied by a deficit view of student performance. Implications for organizational change and equitable outcomes for all students are considered.
Matthew T. Hora, University of Wisconsin - Madison
Bailey B. Smolarek, University of Wisconsin - Madison