Who are we

Promoviendo is advancing equitable teaching in computer science for Latinx students. Our initiative focuses on enhancing STEM education at the undergraduate level, particularly in computer science (CS), to support the academic success of Latinx students.

Our goals

We provide comprehensive development programs for CS instructors to enhance their ability to support Latinx students academically, socially, and emotionally.

We aim to increase graduation and retention rates of Latinx CS majors by implementing activities that cultivate co-curricular relationships and promote a sense of belonging and well-being.

Our impact @ UNLV

Latinx students represent about 20-27% of the incoming first-year CS cohort at UNLV, with many being first-generation college students facing unique challenges. Given the growing enrollment of Latinx students, it is crucial to improve their educational outcomes.

Our methods

Our project employs Transparency in Learning and Teaching (TILT) techniques, rooted in critical multicultural education and supported by Open Educational Resources (OER). These techniques clarify the 'how' and 'why' behind course interactions, proven to boost student performance, especially among first-generation students in non-STEM fields.

We emphasize enhancing transparency in early CS courses, where hands-on programming assignments are vital. By refining these assignments, we aim to reduce faculty workload and improve student learning outcomes, addressing systemic inequities in higher education.

An NSF funded project
University of Nevada, Las Vegas Computer Science & College of Education
National Science Foundation Funded $499791 from 8/15/23 - 7/21/26
FAIN #2318422
Research output
Phase 0
In progress
Objective

Familiarize all instructors with methods of TILT.

Conclusion

Phase 1
Uninitiated
Objective

Conclusion

Meet our team
Kazem Taghva
Principal Investigator
Jorge Fonseca
Co-Principial Investigator
Marla R. Goins
Co-Principial Investigator
Christine Clark
Co-Principial Investigator
Ben Cisneros
Co-Principial Investigator
Ed Jorgensen
Senior Personnel
Kelvin Chang
Full-Stack Software Engineer