THE LEARNING AGENCY LAB
At the Learning Agency Lab, we use the science of learning to improve outcomes for historically underserved students. We work with researchers, data scientists, and learning science experts to develop tools and programs for the social good.
We offer several learning science resource guides covering different learning and education approaches. Whether you are an ed tech organization or an educator, we can help you better understand and advance the science of learning to improve student learning.
THE LATEST FROM THE CURVE
A Case for Teaching with Cognates
Cognate instruction is a powerful instructional tool that is often used in bilingual settings but can also be transposed into an English-only setting. One myth
Teacher Digital Feedback Tools Can Reduce Grading Time And Improve Instruction
We surveyed 200 teachers and found widespread support for this sector of ed tech. In December 2020, the Learning Agency Lab (the Lab) and Georgia
Learning Technology for Deeper Learning
Learn how learning technologies can facilitate deeper forms of learning.
The Future Of Reading Instruction
It’s not a stretch to say that teaching children how to read is the most important thing we ask elementary schools to do. The old
Can Academic Acceleration Balance Out Learning Loss?
The term “acceleration” has been popping up a lot of late in the education press. “High dosage tutoring” is cited as a possible key to
Tom Vanderbilt talks about Beginning
Tom Vanderbilt is one of my favorite writers. His book on traffic is a fascinating deep dive into the nature of the modern world of
FEEDBACK PRIZE - PREDICTING EFFECTIVE ARGUMENTS
Georgia State University and The Learning Agency Lab are excited to announce the launch of the sequel to the first Feedback Prize competition– The Feedback Prize – Predicting Effective Arguments. This competition is also hosted on Kaggle, and will build on its predecessor by tasking participants with evaluating argumentative elements in essays written by students in grades 6-12 as effective, adequate, or ineffective. This competition also features a dual-prize track, with one track focusing on standard models and another track focusing on computationally efficient models. The computationally efficient track incentivizes participants to create models that are more environmentally friendly and easier to adapt to real-world educational contexts. The algorithms developed will help students receive more individualized feedback on their writing!
THE SCIENCE OF LEARNING SERIES
The Learning Agency Lab recently released six powerful videos from our “Science of Learning: Research Meets Practice” project. With the support of many partners, the project aimed to get the science of learning into the hands of teaching professionals as well as to parents, school leaders, and students.
STUDY BETTER
We have developed one of the first study “hacks” courses based on the science of learning.
DOES PROOFREADING BOOST LEARNING?
Does proofreading encourage deep learning? The Learning Agency team admits some mistakes and shares some ideas about how teachers can promote deep reading.
DO GIFTED AND TALENTED PROGRAMS WORK?
The basic logic of gifted programs is at odds with many research findings. Gifted programs and other forms of “tracking”— where students are grouped by their achievement level or perceived ability — are supposed to improve academic outcomes. But there’s little evidence that they do.