Engaging Teachers to Co-Design Integrated AI Curriculum for K-12 Classrooms
Phoebe Lin, Jessica Van Brummelen
Abstract
Artificial Intelligence (AI) education is an increasingly popular topic area for K-12 teachers. However, little research has investigated how AI curriculum and tools can be designed to be more accessible to all teachers and learners. In this study, we take a Value-Sensitive Design approach to understanding the role of teacher values in the design of AI curriculum and tools, and identifying opportunities to integrate AI into core curriculum to leverage learners’ interests. We organized co-design workshops with 15 K-12 teachers, where teachers and researchers co-created lesson plans using AI tools and embedding AI concepts into various core subjects. We found that K-12 teachers need additional scaffolding in AI tools and curriculum to facilitate ethics and data discussions, and value supports for learner evaluation and engagement, peer-to-peer collaboration, and critical reflection. We present an exemplar lesson plan that shows entry points for teaching AI in non-computing subjects and reflect on co-designing with K-12 teachers in a remote setting.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 61dbe5ec-f1f9-4f03-919c-bfbc30264e03Cited by top-tier papers17
- Teachers, Parents, and Students' perspectives on Integrating Generative AI into Elementary Literacy EducationAriel Han, Xiaofei Zhou, Zhenyao Cai, Shenshen Han et al.CHI 2024 · 104 citations
- Family Learning Talk in AI Literacy Learning ActivitiesDuri Long, Anthony Teachey, Brian MagerkoCHI 2022 · 53 citations
- Stakeholder-Centered AI Design: Co-Designing Worker Tools with Gig Workers through Data ProbesAngie Zhang, Alexander Boltz, Jonathan Lynn, Chun Wei Wang et al.CHI 2023 · 48 citations
- Negative Emotions, Positive Outcomes? Exploring the Communication of Negativity in Serious Data StoriesXingyu Lan, Yanqiu Wu, Yang Shi, Qing Chen et al.CHI 2022 · 43 citations
- Creator-friendly Algorithms: Behaviors, Challenges, and Design Opportunities in Algorithmic PlatformsYoonseo Choi, Eun Jeong Kang, Min Kyung Lee, Juho KimCHI 2023 · 35 citations
Builds on1
Related papers
- Guidelines for Integrating Value Sensitive Design in Responsible AI ToolkitsMalak Sadek, Marios Constantinides, Daniele Quercia, Céline MougenotCHI 2024 · 49 citations
- Escape or D13: Understanding Youth Perspectives of AI through Educational Game Co-designJared Ordoña Lim, Grace Barkhuff, Jane Awuah, Sophie Clyde et al.CHI 2025 · 9 citations
- Embedding Human Values in the Design of Mixed-Reality TechnologiesMengxing Li, Taghreed Alshehri, Tim Dwyer, Sarah Goodwin et al.IEEE VR 2025 · 2 citations
- A robot teacher "is very good for learning, but not for human relationships": Japanese Children's Critical Perspectives Towards Ethical AI FuturesSumita Sharma, Pauli Klemettilä, Junko TanakaCHI 2025 · 11 citations
- Towards Considerate Embodied AI: Co-Designing Situated Multi-Site Healthcare Robots from Abstract Concepts to High-Fidelity PrototypesYuanchen Bai, Ruixiang Han, Niti Parikh, Wendy Ju et al.CHI 2026 · 2 citations
