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Qualitative Data Analysis

I worked with Dr. Patricia Garcia at The University of Michigan on "Developing A Culturally Responsive Framework For Promoting Computing Among Adolescent Girls in STEM Programs." I contributed to the study of how cultural supports may positively impact computing education and learning experiences for girls from marginalized groups. I attended weekly collaborative and interdisciplinary research meetings, conducted literature reviews related to the use of culturally responsive pedagogy in computer science education context, and conducted data analysis using qualitative data analysis software. 

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Meta-analysis Literature Review

I wrote extensive literature review with Dr. Howard Rosenbaum at Indiana University Bloomington on diversity in computer science and technology as a whole. This meta-analysis literature review aims to identify virtual racism and gender segregation in computer science due to cultural stereotypes, lack of resources, inadequate math and computing classes in K-12 education, and unreliable Internet access. Researchers and educators need to focus their future efforts on understanding and documenting the experiences of marginalized groups of people to help educators create culturally responsive pedagogy that will combat cultural barriers and disparities responsible for the lack of diversity in computer science. You can view the full text 

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User Interview Strategy

When conducting user interviews, it is essential to craft non-bias questions that do not lead users to a certain conclusion or hypothesis. Each interview has a script that will explain to the user why we are conducting the interview, and ask permission to record. All the questions should focus on whether user can easily identify and tell you what steps they are supposed to take with the product, what the user's initial impressions are of the product or process, and what their impressions are on how the process flows. Each interview should start with asking about the user's current work flow and how they use the product: "Can you describe to me what a typical workday looks like?" Then I move into more specific questions about features or the "Why." For example, "Before we go to the next screen, what do you expect to see and why?" And finally, I will end the interview with larger questions that focus on the user's feelings on the product as a whole: "How would you rate your experience?" This is also where I dive into business related questions and work directly with the PM of the project. 

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Data-driven Personas 

The design personas below focus on user goals, personality traits, current behavior, technology, and pain points. The personas tell a story and breathe life into the qualitative and quantitative user research and data. This helps everyone on the team and involved in the design process construct products with the user’s needs in mind. In addition, they also provide an excellent catalyst for communication and should be a staple in any team building exercise.

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User Journey Maps

A user journey map is a visual representation of how a user interacts with a particular product. Each user journey map must have a data-driven persona, emotions, pain points, and a timeline. This persona is based on the WSW project: Zora is a 9 year old girl looking to know more about coding and programming. With the assistance of her mom, she searches the internet looking for an educational website to learn computational thinking practices. User journey maps can represent a small user task or an entire workflow for larger systems. 

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