Deborah Seehorn

British Science Association

Papers

3

Total Citations

848

H-Index

3

About

Deborah Seehorn is a leading voice in K–12 computer science education, with a focused mission to prepare students for an AI-driven world. Her landmark work, "Envisioning AI for K-12: What Should Every Child Know about AI?" (787 citations), co-developed with the AAAI and CSTA, provides the foundational framework for national AI literacy guidelines. This seminal paper defines the core concepts every student should understand, from intelligent agents to machine learning, shaping curricula across the United States. Seehorn’s subsequent publications, including "Special Session" and "AI for K-12," further refine these pedagogical strategies, addressing the urgent need to integrate AI education alongside traditional computational thinking. Her contributions have directly influenced how educators teach about technologies like Alexa and Siri, bridging the gap between children’s everyday experiences and deeper conceptual understanding. With over 800 combined citations, Seehorn’s work is not merely academic; it is a practical blueprint for empowering the next generation of digital citizens. Her leadership in establishing national guidelines ensures that AI literacy is no longer an elective but an essential component of a 21st-century education.

Research Focus

Key Achievements

3
H-Index
3
Papers
848
Total Citations
283
Avg Citations/Paper
🏆 Most Cited Paper
Envisioning AI for K-12: What Should Every Child Know about AI?
787 citations · 2019
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: British Science Association

Top Papers

  1. 1
  2. 2
    Special Session
    32 citations · 2019
  3. 3
    AI for K-12
    29 citations · 2019

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago