The authors demonstrate that visual perception, not reasoning, is the primary bottleneck for STEM multimodal large language models, introduce the CodePercept paradigm and the ICC-1M dataset, and show that code‑driven perception dramatically improves performance, surpassing much larger models on new benchmarks.
Recently, Tsinghua University launched the Qiu Cheng‑Tong Mathematics Science Leadership Talent Program, recruiting up to a hundred top global middle‑school students annually without the gaokao, featuring a rigorous seven‑stage selection, a new academy, mentorship by leading scholars, and an eight‑year curriculum designed to produce world‑class mathematicians.
Discover a curated list of seven child-friendly programming languages and platforms—including Scratch, Blockly, Alice, Swift Playgrounds, Twine, LEGO Mindstorms, and Kodu—detailing their features, age recommendations, system requirements, and how they help kids learn coding concepts through visual and interactive experiences.
An analysis of U.S. labor statistics across 600 occupations reveals that soft, analytical, and leadership skills consistently outperform traditional STEM abilities in income, job satisfaction, and automation resilience, challenging the common belief that technical expertise alone drives career success.
The STEAM framework, introduced by Georgetta Yakman in 2011, expands STEM by adding arts and defines five interrelated literacies—scientific, technological, engineering, mathematical, and arts—each contributing to a holistic, interdisciplinary education that enhances students’ overall competence across these domains.
