ESP Biography



REBECCA HAO, Master's student studying Learning Design & Tech




Major: Education

College/Employer: Stanford

Year of Graduation: 2025

Picture of Rebecca Hao

Brief Biographical Sketch:

Hi! I'm Rebecca, and I'm currently finishing up a master's program in Learning Design and Technology. I'm interested in how we learn and how to design technology (including AI) that serves learning and teaching!

I studied Computer Science & Linguistics (+ a lot of psychology and neuroscience) in college, though I think I was really just trying to be a cognitive science major. I discovered and got excited about human-computer interaction and developmental psychology towards the end of college, and continued to try to learn about design and learning. I worked as a software engineer for a couple years, and realized that I wanted to work on educational tools, but wanted to learn about how to actually ground them in how we learn, and pivot my job a little, so now I'm here!

I love playing around with new apps (especially around learning, climate/sustainability, productivity, journaling, etc - this pic is my friend and I testing another friend's project), reading, cooking, gardening, and Taekwondo!

Excited to meet you all! :)



Past Classes

  (Clicking a class title will bring you to the course's section of the corresponding course catalog)

C8248: Approaching Our Learning in a World with AI: Explorations using the Science of Learning in Splash Fall 2025 (Nov. 15 - 16, 2025)
There's a lot of talk about AI these days, and in particular, how it's changing work, school, and learning. What do you still need to, and want to learn, when AI tools can do so much? How do we ensure that we're actually learning those things? No one has all the answers, but it seems pretty important to be thinking about these things -- you, and your goals, interests, experiences, and perspectives matter, in both (1) figuring out your own approach to learning and doing in a world with AI, and (2) shaping the culture and technology around AI use for learning and work! Through interactive, hands-on activities, we'll explore what current AI tools do, their strengths and limitations for learning, reflect on our own use and goals, learn about some "science of learning" findings and frameworks that could be useful, tinker and try things out, and develop our own plans and mindsets around our learning and potential use of AI. All are welcome, no prior experience in Computer Science or AI needed or expected. I think it can be valuable to dive into these things if AI is completely new to you, you're building it, or something in between! This isn't exactly a CS class, but an interdisciplinary explore AI, learn about learning sciences, and reflect on your learning kind of class.


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