HAI Weekly Seminar with Mitchell Stevens | Stanford HAI
Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
Skip to content
  • About

    • About
    • People
    • Get Involved with HAI
    • Support HAI
    • Subscribe to Email
  • Research

    • Research
    • Fellowship Programs
    • Grants
    • Student Affinity Groups
    • Centers & Labs
    • Research Publications
    • Research Partners
  • Education

    • Education
    • Executive and Professional Education
    • Government and Policymakers
    • K-12
    • Stanford Students
  • Policy

    • Policy
    • Policy Publications
    • Policymaker Education
    • Student Opportunities
  • AI Index

    • AI Index
    • AI Index Report
    • Global Vibrancy Tool
    • People
  • News
  • Events
  • Industry
  • Centers & Labs
Navigate
  • About
  • Events
  • AI Glossary
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us

Stay Up To Date

Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.

Sign Up For Latest News

Your browser does not support the video tag.
eventSeminar

HAI Weekly Seminar with Mitchell Stevens

Status
Past
Date
Wednesday, April 21, 2021 10:00 AM - 11:00 AM PST/PDT
Overview
Watch Event Recording

Massive: How MOOCs Changed the Landscape of Education Research

Overview
Watch Event Recording
Share
Link copied to clipboard!
Event Contact
Celia Clark
celia.clark@stanford.edu

Related Events

2026 Conference on Physics and AI (PAI26)
ConferenceJun 10, 2026
June
10
2026

The Center for Decoding the Universe brings together researchers across scientific disciplines to answer the biggest questions about our Universe by leveraging complex data with the most advanced computational methods. 

Event

2026 Conference on Physics and AI (PAI26)

Jun 10, 2026

The Center for Decoding the Universe brings together researchers across scientific disciplines to answer the biggest questions about our Universe by leveraging complex data with the most advanced computational methods. 

NVIDIA & Marlowe: Scaling Data Science Workloads with RAPIDS
WorkshopJul 15, 20262:00 PM - 3:30 PM
July
15
2026

This workshop will cover how NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes. You will learn how to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results!

Event

NVIDIA & Marlowe: Scaling Data Science Workloads with RAPIDS

Jul 15, 20262:00 PM - 3:30 PM

This workshop will cover how NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes. You will learn how to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results!

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. 

Mitchell Stevens
Professor of Education and, by courtesy, of Sociology