A study from East China Normal University explores how Large Language Models (LLMs) can revolutionize education by automating teaching tasks. It highlights two key applications: generating customized materials and streamlining assessment. While LLMs reduce educators’ workload, human oversight remains crucial. The research suggests a collaborative model where teachers act as orchestrators and LLMs serve as assistants, ensuring AI integration enhances personalized education while maintaining instructional quality and adaptability.

To support policymaking that helps develop an agile, future-ready labor pool, West Virginia University is partnering with RAND to turn world-class research into practical solutions for evolving job markets — focusing on workforce development and education.

The present study emphasizes a novel way of quantification of caffeine in real as well as laboratory samples based on a nanomaterial-assisted electrochemical technique. 

Terrestrial carbon cycle dynamics remain one of the greatest sources of uncertainty in climate projections, with diverging estimates of ecosystem carbon uptake, affecting the accuracy of Earth system models.

To address these challenges, CONCERTO (Improved CarbOn cycle represeNtation through multi-sCale models and Earth obseRvation for Terrestrial ecOsystems), was launched in January 2025.

An international team led by researchers from the Universitat Rovira i Virgili (URV) has developed an innovative piece of equipment in the field of medical technology: an intelligent device capable of monitoring the temperature of the skin continuously and accurately. The device uses a thermoelectric system that works without batteries or an external power supply to detect temperature variations associated with inflammation and infection. The results of the project have been published in the journal Advanced Science.