Fondren Fellows

Permanent URI for this collection

https://hdl.handle.net/1911/94100
The Fondren Fellows program funds Rice undergraduate or graduate students to conduct research projects sponsored by Fondren Library that will benefit the library and the scholarly community. See http://library.rice.edu/fondren-fellows for more information.

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Browsing Fondren Fellows by Author "Li, Tina"

Now showing 1 - 3 of 3
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    Fondren Library Data Repository for Data Science Education and Experiential Learning
    (Rice University, 2023-06-15) Xiong, Anna; Chen, Su; Barber, Catherine R.; Sun, Nik; Qiu, Alison; Li, Tina
    This project piloted a process for creating a repository of interesting, real-world government datasets that are easy to access, beginner-friendly, and suitable for educational use, particularly in data science. The project resulted in three sub-projects, each of which uses one or more open government datasets to demonstrate the data science pipeline. The first sub-project (1_mental_health_project) used the U.S. Census Bureau's Household Pulse survey to explore correlates of mental health during the COVID-19 pandemic. The second sub-project (2_education_demographics_project) used the National Center for Education Statistics' National Household Education Survey and Common Core of Data along with the Texas Education Agency's graduation data to explore relationships among educational outcomes, student and family demographic variables, and county demographic diversity within the 12th grader population. The third sub-project (3_economics_employment_project) used the U.S. Census Bureau's Current Population Survey and a wide range of financial data (COVID-related spending, Medicaid spending, GDP, and minimum wage) to explore the relationship beteen government fiscal relief measures and employment during recessions. The three sub-project folders include clean datasets, code for cleaning and analyzing the data, and interpretation of the results. These materials are suitable for a range of learners within data science, including both novices and those with advanced statistical skills.
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    Promoting Academic Success: The Influence of Demographics, Family, and County Diversity on Educational Outcomes in 12th Graders
    (Rice University, 2023) Li, Tina; Barber, Catherine
    This study tracks the impact of key environmental and demographic circumstances on student performance and educational outcomes in order to identify and weigh their relative influence. 
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    Student-taught Python Workshop Materials
    (Rice University, 2024) Li, Tina; Barber, Catherine
    Student-taught Python workshops introduce learners to the basics of Python programming, as taught by a near-peer instructor. The materials in this repository include workshop slides, student instructor notes, sample code, and quiz questions and solutions.