home - login - register

PERC 2020 Abstract Detail Page

Previous Page  |  New Search  |  Browse All

Abstract Title: Modeling the Complexity of Change and Implications of Sensemaking
Abstract: This project models the complexity of how students and faculty think about change within university STEM departments. We argue that how people think about change can affect the change process. Our model includes the personal experiences they draw on, the way they logically connect these experiences to their conclusions about change, and their beliefs about how change happens. Viewing interviews with students and faculty in university STEM departments, we developed a change complexity codebook which suggests the potential relationship between logic, complexity, and deep-rooted change. We will argue that engaging in sensemaking is a necessary process for enacting deep-rooted change.
Abstract Type: Contributed Poster Presentation
Session Time: Poster Session I
Poster Number: 1.E3

Author/Organizer Information

Primary Contact: Raylor Liu
Department of Physics & Astronomy, San Jose State University
and Co-Presenter(s)
Name: Gina M. Quan
Affiliation: Department of Physics & Astronomy, San Jose State University