Riiid Labs - Projects

AAAI Conference 2021

Researchers at Riiid hosted a workshop called, "Imagining Post-COVID Education with AI," on Feb. 9 at the 35th Association for the Advancement of Artificial Intelligence (AAAI) virtual conference!

Riiid AIEd Challenge

Riiid Closed the Biggest Kaggle Competition of 2020, the Global AIEd Challenge; 3,400 Teams Competed From 90 Countries

PROJECTS

The heart of our work lies in our global commitment
to shared AI research and open data in education.

Let's Innovate. Together.

Global Initiatives

Whitepapers

Global Initiatives

AAAI Conference 2021

Riiid AIEd Challenge

Whitepapers

Prescribing Deep Attentive Score Prediction Attracts Improved Student Engagement

"The first forward-looking research to prove the real world value and commercial effects of deep learning prediction models with data."

EdNet: A Large-Scale Hierarchical Dataset in Education

"A dataset similar to ImageNet for the AI Education field - Release of the largest educational AI data set in the world."

Assessment Modeling: Fundamental Pre-training Tasks for Interactive Educational Systems

"The highest accuracy model that predicts the test scores of users, based on responses from just 6-7 diagnostic questions."

Deep Attentive Study Session Dropout Prediction in Mobile Learning Environments

"The world’s first open study on predicting when users will likely disengage and stop studying in a mobile environment."

Who We Are

What We Do

PROJECTS

The heart of our work lies in our global commitmentto shared AI research and open data in education.

Let's Innovate. Together.

Global Initiatives

Whitepapers

Global Initiatives

AAAI Conference 2021

Riiid AIEd Challenge

Whitepapers

Prescribing Deep Attentive Score Prediction Attracts Improved Student Engagement

"The first forward-looking research to prove the real world value and commercial effects of deep learning prediction models with data."

EdNet: A Large-Scale Hierarchical Dataset in Education

"A dataset similar to ImageNet for the AI Education field - Release of the largest educational AI data set in the world."

Assessment Modeling: Fundamental Pre-training Tasks for Interactive Educational Systems

"The highest accuracy model that predicts the test scores of users, based on responses from just 6-7 diagnostic questions."

Deep Attentive Study Session Dropout Prediction in Mobile Learning Environments

"The world’s first open study on predicting when users will likely disengage and stop studying in a mobile environment."

The heart of our work lies in our global commitment
to shared AI research and open data in education.