The guiDE program provides DukeEngage alumni a pathway to continue their commitment to service and civic engagement by providing leadership, mentorship and service opportunities that support wider DukeEngage efforts on campus and beyond.
Contact Jennie: email@example.com
Jennie Wang is a junior from Portland, Oregon who is studying Economics and Psychology at Duke. She has a strong interest in education and addressing social inequalities. She was able to learn more about these areas through her experience at Root Cause, a social-impact driven consulting firm that works with nonprofits, public agencies, and companies to improve outcomes in health, education, and economic security. In her free time, she enjoys reading mystery novels and trying new foods.
Following her summer working in Boston, Jennie developed the following list of resources for students who are interested in that program — or similar programs.
ECON 337s: Inequalities and Low-Wage Work Description: This course introduces students to several, different economic theories and viewpoints regarding social inequality, class, and socio-economic status in the United States. This course provides a good overview of the various factors impacting inequalities, especially through an economic focus. Additionally there is a service component that allows Duke students to volunteer with students and participate in community development in Durham.
EDU 240: Educational Psychology Description: Principles of developmental, social, and cognitive psychology as applied to education, with a focus on how children learn. Examination of the impact on learning of race, class, gender, and ethnicity, including a comparative analysis of cultural differences in American schools. This course would be helpful because it provides insights into how children learn and how the structure of educational system could help or hinder the learning and development process. It also would illuminate how factors such as race and gender can impact student success, especially in light of unconscious biases and structural biases.