AI-Powered, Hyper-Personalized Career Pathfinding backed by 30 Years of Competency Research SEATTLE, WA, UNITED STATES, ...
In a recent podcast, Harvard president Alan Garber said some things about teaching that I found at best odd, and at worse pretty much nonsense, because if we’re talking about teaching and ...
Abstract: Multi-objective reinforcement learning (MORL) is a structured approach for optimizing tasks with multiple objectives. However, it often relies on pre-defined reward functions, which can be ...
This study presents a comprehensive examination of how generative artificial intelligence (GenAI), particularly large language models (LLMs), can be leveraged to enhance personalized learning (PL) in ...
Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.
What are the differences between lesson objectives, learning objectives and success criteria and how can we sharpen our lesson planning and pedagogical choices? Helen Webb offers some practical ...
The Centre for Advanced Research Computing (ARC) of University College London (UCL) designs and delivers continuing professional development offerings in digital research practices to colleagues and ...
To be useful, the assessments you give students must meet two conditions. First, assessments must be appropriately challenging at the moment when they are given. A question that’s clearly too hard or ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results