AI-Powered Learning for the Modern Classroom

MerryQuery is an AI-powered educational platform that uses Retrieval-Augmented Generation (RAG) to provide course-specific, contextually relevant responses. With guided dialogues and reliable source citations, it enhances student learning and engagement. It also enables instructors to monitor student interactions and customize response granularity, ensuring accurate and adaptive support for different educational needs.

Currently in beta.

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Discover MerryQuery’s Features

Source Citation

MerryQuery generates responses with relevant course citations, allowing users to verify information and build trust.

Granularity Control

Instructors can adjust the level of assistance based on the course needs. Practice mode offers hints, while review mode provides full solutions for in-depth understanding.

Guided Learning Dialogue

Structured, step-by-step responses help students solve problems without undermining critical thinking.

Chat History Monitoring

Instructors can review student interactions through logged chat history, gaining real-time insights.

Research-Driven Design

MerryQuery collects student interaction logs, enabling researchers to analyze student behaviors.

Multimodal Data Processing

MerryQuery processes complex PDFs, using OCR and text mining to handle text, code, tables, and images.

Meet Our Team

Dr. Tiffany Barnes

Principal Investigator

Tiffany Barnes is a Distinguished Professor of Computer Science at NC State University, recognized for her contributions to AI in education and educational data mining. She has held various leadership roles in professional organizations and received an NSF CAREER Award for her innovative work in enhancing STEM learning environments.

Dr. Dongkuan (DK) Xu

Principal Investigator

Dongkuan (DK) Xu is an Assistant Professor at NC State, leading research in Artificial General Intelligence and generative AI systems, with numerous awards and publications in top AI conferences. His mission is to democratize AI applications and enhance productivity through collaborative generative intelligent agents.

Benyamin Tabarsi

Research and Development Lead

Benyamin Tabarsi is a PhD student in Computer Science at North Carolina State University, specializing in CS education and generative AI. Passionate about using AI for social impact, he has worked on projects such as MerryQuery, ChatLearn (an LLM-based medical chatbot), and workshops training teachers on AI integration.