CyberScholar
CyberScholar is an applied research project examining the role of AI in writing, assessment, and learning.
It extends the Lab’s longstanding work in learning analytics and formative assessment to investigate how AI can support cognitive development without displacing human thought.
Developed under the Human-Centered AI framework, CyberScholar combines contextual data (keystroke signatures, logfiles, revision patterns) with generative AI to model a learner’s Zone of Proximal Knowledge (ZPK)—a dynamic measure of progress and potential. Rather than “automating” writing, the system is designed to scaffold reflection, bringing students, peers, and teachers into the feedback loop.
CyberScholar is also an experiment in AI ethics and transparency in education, providing detailed analytics on how AI is used within each learning process. It aims to advance AI literacy and inform future standards for responsible educational AI systems.