The Cutting Ed
Exploring the future of education
5 Questions With Augustus Mays Of The Education Trust
Tasha Hensley
07/23/2024
Surpassing Erdős: Ryan Baker’s Journey in Collaborative Education Research
Ioanna Moriatis
07/19/2024
5 Questions With Rachel Dinkes of Knowledge Alliance
Tasha Hensley
07/17/2024
5 Questions With Josh Edelman of Transcend
Tasha Hensley
07/16/2024
Improving AI-Generated Responses: Techniques for Reducing Hallucinations
L Burleigh
07/15/2024
5 Questions With Erin Mote Of The EDSAFE AI Alliance
Tasha Hensley
07/08/2024
Navigating the High Costs of AI in EdTech
LLMs offer exciting opportunities for personalized learning experiences, but the high costs of AI pose a significant challenge for edtech developers.
Sam Eastes
07/03/2024
Avoiding AI Design Bias
Creating a diverse pipeline of AI designers starting in K-12 and on is key to establishing effective AI that can truly transform education. In this piece, we can outline some of the challenges identified and addressed in TLA Lab’s work and Kaggle competitions around inclusivity as well as new and ongoing research in the field.
Melia Sandler
06/11/2024
Large Language Models Need Help To Do Math
A fundamental challenge is that popular A.I. technologies, notably large language models (LLMs), struggle with many mathematical tasks, making it crucial to understand the limitations and how scientists and engineers have created LLM interfaces to calculator-style systems for math education.
Daniel Jarratt
05/31/2024
A Breakthrough In Better, Cheaper, And Faster Education R&D
An unprecedented grant from the U.S. National Science Foundation to OpenStax at Rice University will facilitate the education R&D needed to develop new tools for teaching and learning.
Ulrich Boser
05/02/2024