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Beeeeeeelle/README.md

English · 中文

AI in learning. Humans in charge.

Learner agency, human judgment, authentic assessment, AI literacy, and learning design

About

AI in learning. Humans in charge.

I am a learning scientist and builder. I study what people choose to delegate to AI, what human judgment must retain, and how AI-supported learning can remain authentic, equitable, and agentic. Then I turn those questions into tools and learning environments people can actually use.

Ross-Lynn Postdoctoral Fellow · Purdue University

Website · Research · Publications · Google Scholar

Selected work

AI for Education Resource Library
01 / AI for Education Resource Library
CURATION · TEACHING · OPEN WEB

A curated public library organized around teachers, learners, and learning designers—not another generic list of AI tools.

Live site ↗ · GitHub ↗
Ask Belle Codebase to Course
02 / Ask Belle
GROUNDED AI · COURSE · CODEX SKILL

A grounded website assistant, an open Codex skill, and a five-module course showing why bounded AI works.

Take the course ↗ · GitHub ↗
Scholar in Motion academic portfolio template
03 / Scholar in Motion
ACADEMIC WEB · JEKYLL · OPEN SOURCE TEMPLATE

A narrative-first academic portfolio template for researchers whose work moves across scholarship, teaching, service, and design.

Live demo ↗ · Use this template ↗ · GitHub ↗
Review Evidence Workflow pilot demonstration: screening decisions beside the original PDF
04 / Review Evidence Workflow + PDF Retrieval
RESEARCH · HUMAN JUDGMENT · AGENT SKILLS

Two connected skills take reviews from checked PDFs to source-linked screening, appraisal, and extraction, with researchers making the decisions.

PDF Retrieval ↗ · Evidence Workflow ↗ · Demo ↗
Actual pilot workbench in demo mode · Image source

Open source & experiments

  • Easy Teach AI — An evidence-aware open course for educators, extending from classroom practice to learning-product design and school AI governance.
  • Vibe Board — A reflective pathway for planning and publishing a personal website through vibe coding.
  • Database Normalization Tutor — A CTAT tutor co-designed at CMU LearnLab Summer School: AI may explain, while the learning model retains grading authority.

Research

My research program connects four strands: learner agency and self-directed learning, authenticity and assessment, learner heterogeneity and equity, and AI literacy and design translation.

Find me

Website · Email · Google Scholar · LinkedIn · CV

Keep people in the loop

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