AI and Computing Education

Prompty, a tool which scaffolds prompt engineering and output comparison for high school students

This research seeks to explore how generative AI tools change what is worth learning about computing, how we teach about computing and AI, and how we assess knowledge. The long-term goal is to develop pedagogy and tools to support students critically considering how AI tools augment their skills and capabilities.

Project Publications

  • EAAI 2024: Conducted curricular co-design with cross-disciplinary high school teachers to identify understand teachers’ perspectives on AI, how to integrate learning about AI with disciplinary learning, and how to consider limitations as pedagogical opportunities.

  • EAAI 2024b: Advised students who designed Prompty, a tool that scaffolded prompt engineering and output comparison for high school language arts students.

  • Constructionism 2023: Panel to discuss how AI changes constructionism approaches to teaching and learning.

  • CHI AI Literacy Workshop 2023: Workshop position paper advocating for a plurality of AI literacies.


This research is funded by a seed grant from the Stanford Accelerator for Learning and Human-Centered AI Institute (HAI).

Benjamin Xie
Postdoctoral Fellow

Embedded Ethics Postdoctoral Fellow, Stanford Human-Centered AI Institute & Ethics Center.