Bloom AI

Insights

Expert insights on AI in education, research, and the future of learning.

Can AI Help Students Think for Themselves? Findings from a Year 12 Psychology classroom, by Jayne Schinckel and Gary Liang.
Case Study
Jayne Schinckel, Gary Liang

Can AI Help Students Think for Themselves?

Findings from a Year 12 Psychology classroom: how thirteen students used Bloom to build confidence, direct their study and deepen their thinking.

EdTechnical AI in Education Forecasting Competition
Insights
Gary Liang, Nathan Ha

The constraint is not technology. It's institutional adoption.

Our winning essay from the EdTechnical AI in Education Forecasting Competition. We forecast that 2.2% of US high school students will spend more than 2 hours per day learning through AI-powered platforms by 2028.

Tree of knowledge illustration representing Bloom AI tutor technology with glowing roots and branches
Insights
Gary Liang

How schools and universities are introducing AI tutors at scale

At Bloom AI, we've worked with schools, universities and other education institutions globally to introduce AI tutors to tens of thousands of students. Here are five lessons that can help institutions deploy AI securely, responsibly, and with measurable impact.

Graph Demonstrating that AI Tutoring Outperforms In Class Active Learning
Research
Gary Liang

AI tutoring outperforms active learning

I recently came across this preprint titled AI Tutoring Outperforms Active Learning by Gregory Kestin, Kelly Miller, Anna Klales, Timothy Milbourne and Gregorio Ponti from Harvard University.

Generative AI Can Harm Learning Chat Interface
Research
Gary Liang

Generative AI can harm learning?

A brilliant paper titled Generative AI Can Harm Learning was published by Hamsa Bastani, Osbert Bastani, Alp Sungu, Haosen Ge, Ozge Kabakcı, and Rei Mariman, researchers from the University of Pennsylvania and Budapest British International School.

Google LearnLM Technical Paper
Research
Gary Liang

Decoding Google's LearnLM technical paper

At their annual developer conference, I/O, Google introduced LearnLM, a family of Large Language Models (LLM) finetuned for learning.