A collaboration of professors at SICE has earned a critical NSF grant.
The National Science Foundation awarded a $995,000 grant to develop powerful, data-driven tools to support the reskilling and upskilling of tens of millions of U.S. workers whose jobs are being transformed by artificial intelligence and automation.
This pioneering project, "Convergence Accelerator Phase I (RAISE): Analytics-Driven Accessible Pathways To Impacts-Validated Education (ADAPTIVE)," is led by Distinguished Professor Katy Börner at the School of Informatics, Computing, and Engineering (SICE), Indiana University. Börner’s team will collaborate closely with Xiaozhong Liu, Associate Professor of Information and Library Science at SICE, Professor Ariel Anbar, Arizona State University, Professor Martin Storksdieck of Oregon State University, Northeastern University’s Kemi Jona, and Michael Richey from Boeing Engineering, to pilot meaningful data visualizations and analytics about the available learning opportunities and credentials that will help workers make informed, labor market aligned reskilling and upskilling choices.
Specifically, the project will prototype a freely available career recommender "GPS" platform that supports a life-long trajectory of skill development and application. Learning analytics and outcomes data from course and credential offerings and real-time labor market data will be used to provide “honest signals” for learners who want to maximize return on investment of time, money, and effort throughout their career.
The team is comprised of data and learning scientists, economists, education researchers, and course designers. Partners include The Boeing Company, Burning Glass Technologies, L’Space, edX, O*Net, Emsi, The Open Syllabus Project, Credential Engine, and the Bureau of Labor Statistics.
“This project advances our collective understanding of learning in the flow of work and develops new, data-rich tools to help learners and education providers navigate the rapidly changing labor market,” Börner said. Details can be found at the NSF website for this project.
The Indiana University School of Informatics, Computing, and Engineering is one of the world’s largest, broadest, and best technology and information schools. SICE prepares students to thrive in today’s jobs and adapt as technology careers change in the decades ahead.