Help design and test playful “AI & Me” Learning Kits with K–2 children, families, and teachers—building early AI literacy, well-being, and responsible tech habits through community co-design.
AI is already part of kids’ everyday lives—showing up in the videos they watch, the apps they use, and the “smart” tools adults rely on. Yet most AI education is designed for older students, leaving families and early-grade teachers with few age-appropriate, trustworthy ways to help young children understand what AI is and how to engage with it responsibly. AI & Me responds to this gap by designing playful, care-centered learning experiences that help K–2 children build early AI understanding and digital confidence—together with the adults who support them.
AI & Me is a research-and-design project that will create, pilot, and study developmentally appropriate “AI & Me Learning Kits” for children in kindergarten through Grade 2—and for the educators and caregivers who guide them. For our pilot project in Spring 2026, we will use a design-based, community-engaged approach, researchers will partner with Buffalo Public School #99’s after-school program and the Buffalo Urban League (BUL) to explore how young children currently think about “smart” technologies and what kinds of activities spark curiosity, reflection, and responsible decision-making. The project will involve after-class AI demonstrations, interactive workshops, and co-design sessions where children, families, and teachers test hands-on activities, share feedback, and iteratively improve the kit materials (e.g., story-based prompts, games, discussion routines, and simple design challenges).
Students who join AI & Me will gain hands-on research experience across school and community settings, with clear, CV-ready outcomes. They will support key phases of data collection—setting up and operating video/audio equipment to capture child–adult interactions, taking structured fieldnotes and reflections, and following IRB-aligned protocols for consent, documentation, and secure data handling. As the project moves into analysis, students will develop skills in video-based observation and coding, artifact content analysis, and data quality assurance (e.g., interrater checks and checklist validation). Students will also contribute to research-to-practice translation by helping create family- and educator-facing resources as part of the AI & Me Learning Kit. Depending on department guidelines, students may be eligible for academic credit.
| Length of commitment | Longer than a semester (about 6-9 months) |
| Start time | Spring, Summer |
| In-person, remote, or hybrid? | In-person |
| Level of collaboration | Small group project (2-3 students) |
| Benefits | Potential academic credit and/or work study |
| Who is eligible | Juniors and seniors with a background in education, psychology, human development, learning sciences, or related fields. Students should have prior experience with young children (e.g., babysitting, tutoring, teaching, childcare, after-school programs) and reliable transportation/willingness to drive as needed. Students should be responsible, patient, and comfortable working with young children |
X. Christine Wang
Director, Fisher-Price Endowed Early Childhood Research Center
Professor, Learning and Instruction
Phone: (716) 645-2379
Email: wangxc@buffalo.edu
Once you begin the digital badge series, you will have access to all the necessary activities and instructions. Your mentor has indicated they would like you to also complete the specific preparation activities below. After you’re approved to begin the project, your mentor will send the relevant materials. Please reference this when you get to Step 2 of the Preparation Phase.
learning and instruction, early childhood, play, preschool, psychology, education, after-school, AI education
