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Validation Engine for Observational Protocols
The Bill & Melinda Gates Foundation introduced the Measures of Effective Teaching (MET) project to develop and test multiple measures of teacher effectiveness. This document explores the overarching purpose and functionality of a validation engine, which was designed to help districts determine if their observation protocols routinely assign the highest ratings to teachers whose students grew the most, in terms of academic performance, and the lowest ratings to teachers whose students grew the least.
In this article, Allan Golston shares the story of Jason, a student in Newark, New Jersey, whose confidence and love for math were unlocked through the support of a caring teacher and the use of Khan Academy with Khanmigo, an AI-powered tutor. Jason’s transformation illustrates how thoughtful innovation when paired with strong teaching and supportive systems, can help more students succeed and shows why the Gates Foundation is investing in tech-enabled tools to improve math outcomes nationwide.
Too many students, particularly those from Black, Latino, and low-income backgrounds, face fragmented pathways on their journey from high school to career. The focus now is on identifying the barriers that stand in their way and gathering insights from the field to shape solutions that make every learner’s path clearer, more connected, and better supported.
REAL CHEM is a digital chemistry course that’s improving student learning and helping close achievement gaps in high-enrollment gateway courses. Designed with students and faculty in mind, it combines active learning, real-time feedback, and embedded AI support to drive better student outcomes.
Oct 30, 2025
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