HAI Weekly Seminar with Mitchell Stevens
Massive: How MOOCs Changed the Landscape of Education Research
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Massive: How MOOCs Changed the Landscape of Education Research
This session is specifically designed for full-time graduate students within one year of obtaining their PhD, as well as current postdoctoral scholars, fellows, and researchers.

This session is specifically designed for full-time graduate students within one year of obtaining their PhD, as well as current postdoctoral scholars, fellows, and researchers.
Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.

Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.
The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.

The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.
The embrace of massively open online courses (MOOCs) by Harvard, MIT and Stanford from 2012-2014 created buzz and anxiety among educators worldwide. While many were quick to thereafter declare the failure of MOOCs as instructional technologies, their legacy continues to transform the landscape of educational research. MOOCs demonstrated that minute instructional interactions could be observed and experimentally instrumented at scale; lured substantial new talent to educational inquiry from the burgeoning fields of data science and machine learning; dramatically expanded what counts as an instructional environment; and abetted the flow of private capital into a burgeoning sector now called “learning.” In this talk I synthesize recent scholarship to frame the promise and risks attendant to pursuit of learning research in digitally mediated environments.