The AI and Education Initiative facilitates research at the intersection of AI and learning for all people, of all ages and backgrounds, and all the topics and contexts where learning happens. It transcends disciplinary boundaries, drawing on perspectives on learning spanning computing, education, design, social sciences, medicine, business, and beyond.
Discoveries could transform how we learn, recover, and model language By Maureen L. Stanton Are words arbitrary? For centuries, scientists believed that words are essentially random sounds that are given meaning. For example, there’s nothing about the sound of the word “dog” that tells you what it means—it’s just something we’ve learned. Following this logic, […]
By Chloe Wojtanik, Hariri Institute for Computing Over the past year, ChatGPT has become a topic of hot debate, especially in the classroom due to student’s using the software’s work as their own. Whether you support the use of generative artificial intelligence (AI) or not, it’s important to have discussions about both the capabilities as […]
Generative AI is rapidly transforming K–12 education, offering new opportunities for learning and teaching. Yet fewer than 10% of AI tools in education have undergone independent validation. This gap between rapid adoption and proven effectiveness risks wasted resources, inconsistent learning outcomes, and missed opportunities to improve education.
The Evidence-Based AI in Learning (EVAL) Industry Collaborative bridges this gap by conducting rigorous research to evaluate AI tools’ impact on K-12 student learning outcomes. We provide the research infrastructure and expertise EdTech companies need to demonstrate impact, build trust, and accelerate adoption—ensuring AI innovation truly benefits students.
The AI and Education Initiative is cosponsored by the Hariri Institute for Computing and the Wheelock College of Education and Human Development.