Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Monitoring & Evaluation: Some Tools, Methods, & Approaches (World Bank, 2004) This 25-page handbook is written in a question-and-answer style and is a good starting point in understanding M&E. It ...

Using AI to make history teaching and learning more impactful. The future of history education lies in empowering students to engage in intensive research with carefully curated collections of primary ...

Oide, the national support service for schools and teachers in Ireland, is delivering professional learning for school self-evaluation (SSE) based on a model developed and tested by EQI Researech ...

Lastly, flexibility and efficiency improve with online learning tools, allowing students to learn at their own pace and offering teachers digital tools to streamline tasks like grading, attendance ...

To address this gap, this paper introduces an innovative so-lution-a gamification-based UML learning environment within Virtual Reality (VR), named GaMo Vr.This immersive platform is specifically ...

Use SET to promote student self-evaluation Developing students’ ability to self-assess their learning is often a neglected outcome of SET. A well-timed SET can act as a metacognitive pause during ...