AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...

Yifan Guo, Zhongqiang Ren, Chen Wang. "iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), ...

Even if the most dire predictions about AI fail to materialize, there’s no doubt that its arrival raises big questions about the purpose of K–12 education. Most existentially: What skills do students ...

Parents visiting their children’s kindergarten class for the first time may think they’ve arrived at the wrong room, especially if they expect it to resemble the kindergarten they attended as ...

Inquiry-based learning has been gaining more attention in classrooms across the world. Teachers often ask, What does it look like in practice? How does it differ from more traditional approaches? At ...

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. Jean Eddy is the Executive Chair of American Student Assistance. In this third and final article on the report, we’ll highlight ...

The learning organization has been a unifying concept in the field of organizational development, first introduced by Peter Senge in 1990. Its relevance has not diminished but instead is becoming more ...