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Artificial Intelligence & Education

Evaluation is engineering, not a verdict on intelligence.

We explore the intersection of AI and education through two complementary perspectives: using AI to support learning tools and educational assessment, and investigating how generative AI affects evaluation, text authenticity, and educational practices. Our empirical and technical work emphasizes reliability, scalability, and practical value.

AI-Enhanced Educational Applications

Developing and evaluating AI-enabled tools for learning, teaching, and educational assessment.

Automated Essay Scoring & Efficient Assessment

Investigating language models, summarization, and scoring rationales for long-essay assessment, with attention to evaluation quality, computational efficiency, and scalability.

AI's Impact on Education & Assessment

Studying AI-generated text detection, assessment trustworthiness, and changes introduced by generative AI in educational evaluation.

AI-Generated Text Detection

Comparing text classification and detection methods and examining how tokenization and dataset size affect identification of AI-generated writing.

People and collaboration

  • Haowei (Jack) Hua

    Co-Founder & Research Lead

    Focuses on interdisciplinary research, scientific inquiry, and innovation-driven project development while contributing to technical architecture discussions, system design, and engineering decisions. He works collaboratively to connect scientific ideas with practical development.

    Neuroscience, Princeton University