AI4S in Educational Research, edited by Professor Chen Xiangdong from the Department of Education Information Technology at the Faculty of Education, East China Normal University, presents a core research finding of the Chinese Association for Artificial Intelligence (CAAI). The book systematically constructs a theoretical and practical framework for AI4S-empowered educational research, providing essential academic guidance and actionable references for educational researchers and administrators.

Reported in Science Bulletin, a new study presents the design and fabrication of an ultra-robust and multifunctional ionic biogel with multiscale architecture via a synergistic structural engineering strategy, and demonstrates its application in self-powered human interaction.

Researchers have developed a green separation process combining a tailor-made ionic liquid with heat pump technology that slashes energy consumption by 48.68% for separating dimethyl carbonate from methanol—a critical bottleneck in sustainable chemical production. Using a multi-scale strategy spanning molecular screening, experimental validation, and process optimization, the team identified an eco-friendly ionic liquid entrainer that breaks the stubborn azeotrope between these industrially important chemicals, paving the way for more sustainable and cost-effective manufacturing.

Researchers have developed a quantum-dot imaging technique that makes the usually difficult to visualize surface plasmon polaritons visible with a conventional fluorescence microscope. The method captures and measures plasmonic waves in device structures intended for practical use, including buried interfaces, providing a practical tool for designing future nanophotonic, optoelectronic, and plasmonic technologies.

-  KAIST and TheraZyne developed a computational antibody-design approach to target intracellular cancer mutations that are inaccessible to conventional antibodies.

-  The engineered antibodies selectively eliminate cancer cells carrying the KRAS G12D mutation while minimizing off-target effects, highlighting their potential as next-generation precision antibody therapeutics.

-  The study establishes a new platform for developing personalized antibody therapies against a broad range of difficult-to-treat cancers, with further validation in animal models underway.