The Content Generation GQEQT (C) is crafted to facilitate teachers process of interpreting, clarifying, and converting the Syllabus and National Curriculum into actionable Course content. The Course Content generated is meant to lay the groundwork for utilizing AI in creating textbooks, quiz questions, exam questions, assessment guidelines...

This project primarily focuses on addressing the issue of early detection of learning disabilities in students, with a specific focus on dyslexia and attention deficit hyperactivity disorder (ADHD).

The project streamlines essay and quiz question creation via GPT in five phases, focusing on distractors, alignment, question development, assessment instructions, and rigorous evaluation for educational content.

This project is part of a 3-year project funded by the National Science Foundation to bring AI Education to underrepresented high schools in Tennessee. The project is done by Professor Pengyu Hong (Brandeis University) and his research group. We hope to use this visualization tool to spark interests in coding and linear algebra within those student

"Dive into Generative AI and Large Language Models (LLMs) with our comprehensive learning roadmap! Explore the world of AI generation, from fundamental concepts to advanced techniques, through a structured journey designed to enhance your understanding and expertise."