Data Miners Group

BPC-DP Coding Like a Data Miner

A Culturally Relevant Data Analytics Intervention for High School Students

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Lab Teams Showcase Research on CS Education and Social Media Discourse at AERA 2023 Conference

Data Miner lab members recently presented their cutting-edge research at the AERA 2023 conference. Sayed, Alan, Dr. Amanda, and Dr. Justice showcased their work on various topics related to computer science education and social media discourse instruments. Sayed's research work focused on the design principle of social and cultural relevance for data science-based computer science education. Alan's work highlighted the potential of data science as an access point for equitable pre-college computer science education. Meanwhile, Dr. Justice presented his work on the use of social media discourse instruments as tools for socioscientific argumentation. We look forward to seeing more of groundbreaking work in the future!

Published April 28, 2023

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UTEP News: Coding Like a UTEP Data Miner: NSF Grant Helps Bring Next-Generation Computing to High School Students

Justice Walker, Ph.D., assistant professor of STEM education in the College of Education at The University of Texas at El Paso, is leveraging data mining techniques to bring next-generation computer science education to teachers and students in the Paso del Norte region through a $300,000 grant from the National Science Foundation (NSF).

Published March 3, 2022

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Drexel News: Coding Like A Data Miner: A Culturally Relevant Data Analytics Intervention For High School Students

Amanda Barany, PhD, a postdoctoral scholar from Drexel’s School of Education, is leveraging data mining techniques and the affordances of online social media spaces to design and implement a culturally relevant data analytics intervention for high school students. The goal of the project is to better understand what it takes to successfully design and deploy a high school curriculum in burgeoning and critically needed areas of computing. This work is supported by a $300,000 grant from the National Science Foundation (NSF).

Published February, 2022

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Data Miners Group, University of Texas at El Paso