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In 2024, the MIT Jameel World Education Lab awarded Education Innovation grants to 11 research projects that are leveraging artificial intelligence tools for learning, exploring low-tech ways to expand access to STEM education, and developing new materials, approaches, and curriculum to improve equity and quality of learning experiences:
Education quality often lags in rural areas and correctional facilities due to funding disparities. For over a decade, MIT Spokes, a student-led team committed to narrowing the educational gap in STEM disciplines among rural, low-income, and underserved communities nationwide, has cycled cross-country, delivering STEM workshops to elevate aspirations and provide resources. They implement hands-on learning kits during one-day festivals, tailored to community needs. By engaging with stakeholders and refining their approach, Spokes aims to maximize impact and open opportunities for students unfamiliar with institutions like MIT.
To enhance bio literacy and engagement with synthetic biology, Kong aims to expand the MIT Media Lab course, How to Grow (Almost) Anything, by creating a global “robotic cloud lab network,” allowing users without regular access to wet labs the opportunity to experiment and create. This network, organized by MIT, Harvard researchers, and supported by global teaching assistants, will provide community labs with programmable robots and supplies and a handbook to guide learning exercises. In Spring 2025, Kong will execute a global research project on protein therapies for antibiotic-resistant bacteria across the robotic cloud lab network.
Climate Interactive’s innovative climate change simulator En-ROADS has been very successful in engaging participants to think about the impact of alternative policies and actions to mitigate and reverse the effects of climate change. Yet, meaningful shifts in understanding, policy, and action require education and understanding at massively greater scales than are currently possible with the En-ROADS facilitation model. Expanding on prior work, Cook and Klopfer seek to explore game-based facilitation and the scaling of such a solution.
Organizations are emphasizing creative problem solving, system analysis, and conscientious decision-making to tackle complex, ill-structured problems. Active learning supports these skills but its implementation faces barriers like large class sizes, preparation time, and student resistance. Generative AI integration in education is complex but promising. Through the development of SIDAI, a web-based platform, and its chatbot Sid, Lavi intends to create tools that assist in active learning and provide personalized feedback to students, aiming to enhance teaching and learning experiences.