Date: Monday, September 29, 2025
Time: 8:00 AM - 6:00 PM
Location: Stata Center (32-4th Floor), MIT Campus
Join educators, technologists, designers, and researchers for a collaborative hackathon focused on developing practical AI solutions that address real-world challenges in K-12 education. This event emphasizes tools that work within classroom realities while promoting ethical and equitable use of AI.
Organized by: MIT McGovern Institute, MIT Generative AI Community (MGAIC), SAIL Lab, and Boston University's AI and Education Initiative (EVAL Collaborative)
Date: Monday, September 29, 2025
Time: 8:00 AM - 6:00 PM
Location: Stata Center (32-4th Floor),
MIT Campus
Format: In-person only
Expected Participants: 30-80 diverse professionals and students
Duration: Single day intensive hackathon
Schedule
08:00–08:30 | Breakfast
08:30–09:25 | Kickoff session
09:25–09:45 | Ideation/Team formation
09:45–11:30 | Open hacking session 1
11:30–01:00 | Lunch + networking
01:00–04:00 | Open hacking session 2
04:00–05:30 | Project presentations
05:30–06:00 | Concluding remarks + networking
Venue: Stata Center (32-4th Floor)
Address: MIT Campus, Building 32, 4th floor
Getting there:
Public transit: Red Line to Kendall/MIT Station (10-minute walk)
Parking: Limited visitor parking available on campus
Accessibility: Building 32 is wheelchair accessible
Detailed directions and parking information will be sent to registered participants.
Our hackathon is built around these essential principles:
User-Centered Design: Keep students, educators, and families at the core of all decisions
Practicality: Solutions must be usable in real K-12 classroom environments
Collaboration: Interdisciplinary teams combining diverse expertise
Ethical Design: Prioritize privacy, fairness, and accessibility
Evidence-Based: Grounded in proven pedagogical approaches and research
Scalability: Designed for implementation across diverse school contexts
Effectiveness: Oriented toward measurable improvements in learning outcomes
Lead: Dr. Ola Ozernov-Palchik (MIT McGovern Institute, Boston University)
Create intuitive, educator-friendly data visualizations that help teachers interpret student data and make effective instructional decisions.
Focus Areas:
Growth-over-time visualizations with clear action indicators
Plain-language summaries for common teacher questions
Guided workflows for less experienced data users
Designs for resource-limited environments
Lead: Dr. Fabio Catania (MIT McGovern Institute)
Design speech-based interactive activities for K-12 learners using conversational AI that adapts to individual student needs.
Focus Areas:
Core interaction design with clear educational objectives
Multi-modal sensing (emotion/fatigue/stress detection,
gesture recognition, multiple speaking users detection)
Teacher-facing customization tools and dashboards
Inclusive design across linguistic and cultural contexts
Lead: Dr. Satrajit Ghosh (MIT McGovern Institute)
Define and pursue your own AI + education challenge outside the established tracks.
Focus Areas:
AI-driven assessment and content generation tools
Accessibility innovations
Educational platform integrations
Cross-disciplinary projects
Boston University Evidence-Based AI in Learning Industry Collaborative, Hariri Institute & Wheelock College
We welcome participants from diverse backgrounds:
Educators: Teachers, instructional coaches, curriculum designers, learning specialists
Technologists: Software engineers, data scientists, UX designers, research engineers, applied scientists
Domain Experts: Cognitive scientists, neuroscientists, educational psychologists
Students and Professionals: All experience levels welcome
Mentoring from track leads throughout the day
Technical resources and platforms
Collaborative workspace (MIRO boards available)
Free food and beverages provided
Certificates of attendance