New Opportunity to Research Artificial Intelligence (AI)-Augmented Learning

IES has partnered with NSF in a new funding initiative to encourage scientists to focus on research and development of AI-driven innovations to radically improve human learning and education. » More info

Predicting Early Fall Student Enrollment in the School District of Philadelphia

REL Mid-Atlantic compared the accuracy of four statistical models for predicting fall enrollment at the school by grade level. » More info

New Toolkit from REL Central Provides Resources for Practical and Effective Program Evaluations

The Program Evaluation Toolkit focuses on the practical application of program evaluation for all users. » More info

Identifying Students At Risk Using Prior Performance Versus a Machine Learning Algorithm

This REL Mid-Atlantic report compares the accuracy of simple early warning systems that use simple flags based on prior academic problems to an algorithm using a range of in- and out-of-school data to estimate the risk of each academic problem for each student in each quarter. » More info

Variations in District Strategies for Remote Learning During the COVID-19 Pandemic

This REL Central report details remote learning strategies proposed by districts in Kansas, Nebraska, North Dakota, and Wyoming in spring 2020 and describes how the strategies varied by districts' Internet connectivity, poverty level, and locale. » More info