When absences accumulate, teachers can implement specific strategies so that all students complete necessary work.

A marriage of formal methods and LLMs seeks to harness the strengths of both.

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Jeff Bergin, Ph.D., is the chief learning officer at General Assembly, an executive coach, and the author of Already Smarter. Everyone in HR is talking about AI—and for good reason. It’s transforming ...

When educators panic about artificial intelligence in the classroom, they often fall back on a familiar definition of learning: a change in long-term memory. It sounds scientific. It gives the ...

Source: Olia Danilevich / Pexels Three years ago, the public release of OpenAI’s ChatGPT, the world’s most popular large language model, signaled that the Age of Artificial Intelligence had well and ...

In the context of mass higher education, Chinese application-oriented undergraduate institutions face significant teaching challenges stemming from the increasingly diverse student population. This ...

Forbes contributors publish independent expert analyses and insights. Dr. Legatt explores the intersection of education, AI, and leadership. As a former admissions officer and college consultant, I’ve ...

Large Language Models (LLMs) have significantly advanced natural language processing (NLP), excelling at text generation, translation, and summarization tasks. However, their ability to engage in ...