Hadis Anahideh
@hadisanahideh
Assistent Professor UIC
ID: 1650027637
06-08-2013 10:19:41
15 Tweet
49 Followers
101 Following
Research Assistant Professor Hadis Anahideh received a new grant from the U.S. Department of Education to develop a new fair Multivariate Adaptive Regression Splines statistical model to predict college-student success. #UIC #Engineering #Chicago #Research #education
So excited to continue working with my dear friend and collaborator Denisa Gandara on this project!
Congratulations to Hadis Anahideh (UIC Engineering UIC Mechanical and Industrial Engineering) and @gandaradenisa (UT Austin College of Education) who have received an #IESFunded #NCER award to develop a new, fair, and explainable statistical model to predict college-student success. Learn more: ies.ed.gov/funding/grants…
Assistant professor Hadis Anahideh is leading a U.S. Department of Education funded project using artificial intelligence and machine learning models to predict a college student’s outcome fairly. mie.uic.edu/news-stories/e…
Predictive algorithms commonly used by colleges & universities to determine whether students will be successful may be racially biased against Black & Hispanic students, according to research in Editors - AERA Open. Denisa Gandara Hadis Anahideh Matthew Ison, Ph.D. aera.net/Newsroom/Insid…
Check out the The Chronicle of Higher Education (Christa Dutton)'s story on our study here. Are Colleges' Predictive Analytics Biased Against Black and Hispanic Students? chronicle.com/article/are-co… Hadis Anahideh Matthew Ison, Ph.D. College of Education UIC Mechanical and Industrial Engineering
Co-authors of the Editors - AERA Open study "Inside the Black Box: Detecting and Mitigating Algorithmic Bias Across Racialized Groups in College Student-Success Prediction" Denisa Gandara and Hadis Anahideh discuss the findings and implications in this video:youtube.com/watch?v=DVsEEF…
Algorithms used to predict student success produced false negatives for 19% of Black and 21% of Latinx students, incorrectly calculating these percentages of students would fail out of college, according to research in Editors - AERA Open, via Diverse: Issues In Higher Education diverseeducation.com/reports-data/a…
Thank you to Diverse: Issues In Higher Education Liann Herder for writing about our recent Editors - AERA Open study on racial bias in higher ed algorithms to predict student success Hadis Anahideh Matthew Ison, Ph.D.
