stem-education

MIT announced the MIT for America initiative, an institute-wide effort to strengthen STEM and AI education across the United States through scalable, high-touch programs spanning math education, responsible AI learning, and hands-on design and making.

Physics Tutor is an AI agent designed to teach physics through first principles reasoning, using Socratic guidance and adaptive techniques to improve understanding and address misconceptions.

NASA Pathways Internships are multi-semester federal internships that provide a direct pipeline to full-time employment at NASA. Applications for Spring 2027 open on September 21, 2026, and close on September 25, 2026.

Biology Tutor is an AI agent that uses adaptive Socratic teaching and exam-aware practice to help students learn biology by connecting structure to function and reasoning from evidence.

NASA highlights new school year opportunities including internships, student challenges, career events, citizen science projects, and the upcoming Nancy Grace Roman Space Telescope launch.

The U.S. National Science Foundation announced a $47 million pilot initiative to create four-year Ph.D. programs that integrate industry research placements, aiming to better prepare STEM doctoral students for careers outside academia.

Tech leaders across Africa are building a learning platform in Bamanankan, a language ignored by major AI models, along with cloud training in unsupported languages and personalized AI paths to close the gender gap in STEM.

Introduces Earthquaker-AI, a hybrid educational framework using Retrieval-Augmented Generation and rubric-based assessment to teach earthquake preparedness to primary students.

A tweet listing top 15 educational robotics platforms, ranging from beginner modular kits like mBot to advanced open-source robots and simulation frameworks like ROS 2 and Gazebo.

A beginner electronics roadmap from a maker who went from not knowing how to light an LED to building rovers and winning hackathons. It covers understanding circuits, using an Arduino, and building real projects.

A discussion about whether AI will transform academia as profoundly as computers did, with the author questioning a professor's skepticism.

The paper introduces LaTA, an open-source, FERPA-compliant local LLM autograder for upper-division STEM courses that runs on-premises hardware. It reports successful deployment at Oregon State University with improved student performance and high grading accuracy.

This paper introduces the EDU-CIRCUIT-HW dataset for evaluating multimodal large language models on real-world university-level STEM handwritten solutions, revealing significant recognition limitations and proposing a hybrid approach that combines automated recognition with minimal human oversight to enhance grading robustness.