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EDU T569: Tech Enhanced Learning

Harvard University: Learning, Innovations, and Technology Lab

How does AI tools offer new workflow pipelines for individuals starting out in the EdTech field? How can we as educators and designers/developers create coherent AI tool databases for introductory level individuals? 

At Harvard's Learning, Innovations, and Technology (LIT) Lab, I worked with Professor Bertrand Schneider to develop databases and create sample EdTech project demos. 

I ultimately worked as a teaching fellow for his graduate level course EDU T569 to lecture a full class session and lead various workshops on rapid prototyping with AI tools in EdTech dev pipelines. We directly utilized our research documentations to guide and mentor graduate students on developing their own EdTech projects.

Teaching documentations: 
2 hr lecture led by Stacey on "Prototyping Projects from Learning Experience to actual User Experience"

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Due to Harvard's NDA, the LIT Lab internal database and student projects are not publicly viewable.

Reflections: 

The best part of working with Professor Bertrand was the fact that we got to directly apply our research techniques / demo projects to real-life Harvard graduate courses. Observing graduate students enhance both their contextual and technical skills throughout the semester was deeply rewarding.

I greatly thank Professor Bertrand as he has been an incredible mentor and supporter of my Harvard journey. Recently, I served as a Harvard 2026 J-term Teaching Fellow for Professor Ying Xu. EDU T569 was instrumental in helping me understand the importance of knowledge transfer and its societal impact on fellow graduate students. 

Connect with me: staceycho@mde.harvard.edu

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