AI and Computing Education
![](/project/ai/featured_hub269bcbc0d50d6adf0683fd6f3f9e908_248601_720x0_resize_lanczos_2.png)
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 instruction materials, assessments, and tools to support students critically considering how AI tools augment their skills and capabilities.
Project Publications
ICER 2024: Used automated benchmarking infrastructure and expert review to understand differences in LLM and student performance on CS assessments with validity evidence.
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.
Talks
- Kapor Center 2024: Presented on ongoing research related to critically learning with and about AI.
Funding
This research is funded by a seed grant from the Stanford Accelerator for Learning, Human-Centered AI Institute (HAI), and OpenAI.