Why EagLearn was built
Dr. Kushagra Goyal is an AI researcher and educator with a Ph.D. from the Indian Institute of Technology (IIT) Ropar. His research covers machine learning, deep neural networks and materials informatics, with more than eight peer-reviewed publications and three granted Indian patents.
For more than five years he worked inside schools across India, designing and teaching AI, robotics, IoT and data science programmes for more than 4,000 students in more than 15 schools. He kept seeing the same gap: the tools for teaching AI were built for universities, or not built for classrooms at all. Students were being told about AI. Nobody was letting them build it.
EagLearn was built to close that gap. It is grounded in project-based learning and Bloom’s taxonomy, the frameworks he used to design school curricula: learners move from remembering to creating, by building something that works and then explaining it.
“Every child I have taught who built their first AI model looked at the screen differently afterward. Not at a tool. At something they made. That moment is what EagLe is built for.”