The GenAI Consortium, a collaborative initiative between MITRE and UTSA, is committed to providing students and faculty with access to artificial intelligence (AI) tools, fostering creativity, and cultivating world-class expertise in AI, data analysis, and machine learning. The Consortium aims to introduce the broader academic community, including high schools and universities, to the value of applying AI tools to solve real-world problems.
We’re delighted that GenAI Consortium has reached over 10,000 students since its formation in 2018, and UTSA has awarded over 500 microcredentials to students demonstrating proficiency in data science, AI and machine learning techniques since spring 2023.
Working with MITRE, UTSA is introducing artificial intelligence principles and practices to students across all academic disciplines. The goal of GenAI Consortium is to help all students, regardless of their major, understand AI and how to use it as an effective tool. Our participating faculty use an instructional design methodology designed my MITRE to develop more than 10 lesson modules and access a central repository where they can also browse and download lessons and data sets from other classes across the country.
Goals
- Develop stand-alone lessons showcasing domain-specific applications of AI.
- Create and share high-quality, curated datasets from public and private sources.
- Enable students to understand the benefits of data science and AI through hands-on access to guidance, lessons, and data.
- Facilitate knowledge sharing among partners to enhance collective strategies and materials.
- Provide opportunities for students to demonstrate proficiency and advance their skills.
GenAI Faculty
Senior Director
Research, Economic Development, and Knowledge Enterprise
Associate Professor of Marketing, Lutcher Brown Fellow
Alvarez College of Business
Assistant Professor of Psychology
College of Education & Human Development
Interim Associate Dean of University College and Professor of Instruction
GSR 2.02D
Microcredentials
GenAI Data Science Collection
This collection trains participants in specific aspects of the data science process. This series spans exploratory data analysis, sentiment analysis, data visualization and graphs, SQL and databases, and Python basics. The earner of the Data Science Collection badge has completed the five badges that are part of the collection.
