How People Learn
A foundational study of learning science: how prior knowledge, motivation, context, feedback, and transfer shape what learners can do with new ideas.
Harvard GSE · MIT · HKS
Harvard + MIT Coursework
A year of learning design, AI literacy, systems change, and venture/product practice across Harvard and MIT, organized around the capabilities I want to keep building in EdTech and people-centered products.
46 credits Public summary
14 courses Across the year
HGSE + HKS Harvard schools
MIT Sloan + Media Lab Cross-registration
This is not a transcript page. It is a portfolio map of the coursework that shaped my product judgment: how people learn, how institutions change, how AI systems should be evaluated, and how ideas become pilots, products, and organizations.
Learning Design & Pedagogy
A foundation in how people learn, how learning environments are designed, and how instructional systems become more inclusive and useful.
Learning Design for All
A design-centered course focused on building learning experiences that account for learner variability, accessibility, equity, and multiple pathways into understanding.
Collaborative Learning Design
A practice-oriented look at designing learning with others: collaboration routines, shared artifacts, facilitation, and the social conditions that help groups learn.
Impact by Design: Projects
The LDIT core project experience, connecting design process, stakeholder discovery, prototyping, and impact-oriented decision making.
Teaching and Learning Lab Practicum
A studio practicum connecting learning theory with real institutional design work through Harvard Teaching and Learning Lab projects.
AI, Data & Product Prototyping
Courses that moved from AI literacy into product judgment: when to use AI, how to evaluate impact, and how to make prototypes legible to real users.
Becoming AI Literate for the Future
A course on developing practical AI literacy: understanding capabilities, limits, risks, and the design choices required to use AI responsibly in learning contexts.
AI Studio / AI for Impact
A hands-on Media Lab venture studio on finding, evaluating, and building high-impact AI-first companies. My public artifacts from the semester are best shown here as course work: EchoBridge, Knowledge Arena, and Bukti.
Course framing verified from the public AI Studio / AI for Impact site.
Generative UI for Education
A capstone prototype exploring adaptive scaffolding, checks for understanding, and learnersourced vocabulary for a Harvard data fluency initiative.
Venture & Go-to-Market
Entrepreneurial coursework that sharpened how technical ideas become products, pilots, revenue motions, and durable organizations.
Revolutionary Ventures: How to Invent and Deploy Transformative Technologies
A seminar on building organizations around transformative technologies, using historical examples, live case studies, technical strategy, and venture prototyping.
Description summarized from the MIT subject catalog.
Entrepreneurial Sales
A go-to-market course for technology startups covering how to identify, build, execute, measure, and scale sales motions and revenue processes.
Description summarized from the MIT subject catalog.
Getting to Pilot-Ready
A short applied course focused on moving an education idea toward a pilot: clarifying the user, testing assumptions, and preparing a concept for field feedback.
Systems, Leadership & Work
A people-systems thread across change leadership, organizational design, work futures, and the politics of institutional transformation.
Leading Change
A foundations course on leading change in education organizations: diagnosing systems, communicating across stakeholders, and moving from intent to adoption.
The Future of Work
A policy and leadership course on how work is changing across institutions, with attention to power, organizational practice, technology, and labor-market shifts.
Transforming Systems: Leadership
A systems-leadership course focused on how education leaders diagnose complexity, build coalitions, and move institutions through change.
What this year built toward
The through-line is applied learning product work: understanding learners and organizations before jumping to a solution, using AI where it genuinely improves scaffolding or decision-making, and making prototypes concrete enough for stakeholders to critique. That mix is the bridge between my product interests, EdTech training, and people-operations background.