Restricted Research - Award List, Note/Discussion Page
Fiscal Year: 2023
84 University of North Texas (141972)
Principal Investigator: Ding,Junhua
Total Amount of Contract, Award, or Gift (Annual before 2011): $ 499,608
Exceeds $250,000 (Is it flagged?): Yes
Start and End Dates: 11/1/22 - 10/31/25
Restricted Research: YES
Academic Discipline: Information Science
Department, Center, School, or Institute: College of Information
Title of Contract, Award, or Gift: HSI Implementation and Evaluation Project: Develop a High Quality Academic Environment for Broadening Participation of Hispanic Students in Computing
Name of Granting or Contracting Agency/Entity:
National Science Foundation
CFDA Link: NSF
47.076
Program Title:
none
CFDA Linked: Education and Human Resources
Note:
Increasing participation of computer science major is a typical way for broadening participation of computing, but the high demand of data scientists and inter-disciplinary nature of data science assure data science as another ideal academic program for broadening participation of computing. However, the undergraduate data science program at the University of North Texas (UNT) only has about 10% of Hispanic students, which is significantly lower than the 26.5% of Hispanic students at UNT. This project will implement asset-based initiatives for supporting the success and broadening participation of Hispanic students in computer science and data science programs. The initiatives include: 1. Infuse computational thinking and professional skills development into the curriculum of undergraduate CS and DS programs via innovative curriculum development and mentoring; 2. Build a platform for supporting students' interactions with peers and faculty; 3. Develop active learning, personalizing teaching and learning for both formal and informal settings; 4. Work with education experts to foster diverse and inclusive education culture. The overarching goal of the proposed project is to enhance the computing education quality and significantly increase the enrollment, retention and graduation rates of undergraduate Hispanic students in computer science and data science programs.
Discussion: No discussion notes