EdTech/Learning Analytics Guest Speaker: Jiangang Hao
Ehrlicher Room, 3100 North Quad
Assessing collaboration at scale: a technology-driven paradigm shift
Collaboration is widely recognized as a 21st-century skill and is critical for both academic and career successes. Technology advance has enabled large-scale online collaboration, which brings great potentials for both assessment and learning. In this talk, I will introduce the efforts towards assessing collaboration at Educational Testing Service, which is reflected by a comprehensive research agenda around learning science, data analytics, natural language processing, artificial intelligence, and next generation of psychometrics. I will also introduce our ecosystem around the ETS Platform for Collaborative Assessment and Learning (EPCAL) and show how it could potentially help to promote the classroom practice of collaborative learning.
Dr. Jiangang Hao is a senior research scientist at the division of Psychometrics, Statistics and Data Science (PSDS) at Educational Testing Service. His current research centers on response-process data modeling, collaborative problem solving, game and simulation-based assessment, educational data mining & analytics, and automated scoring. Jiangang led the computational psychometrics subinitiative of the FASP initiative in the FY 2017, and has been co-leading the infrastructure subinitiative of the game, simulation and collaboration initiative from 2014 to 2016. He is the principal investigator of several large research projects at ETS for designing simulation-based assessments (Tetralogue project), web-based platform for collaborative assessments (EPCAL project) and data analytics solution for game-based assessments (glassPy project). Jiangang obtained his Ph.D. in Physics and M.A. in Statistics both from the University of Michigan. Prior to joining in ETS, Jiangang worked on modeling and mining large-scale data in astrophysics at Fermi National Accelerator Laboratory.