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 ...

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 ...

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 ...

Most faculty have used a “forward thinking” approach to course design – first, identify or develop materials and activities for teaching, then design assessments to measure the teaching outcomes.

In open-environment machine learning (open ML), the learning objectives can vary according to specific real-world requirements. Models tailored for initial objectives may not be appropriate for the ...

In a world where individual achievement often takes precedence over collective progress, our educational institutions have inadvertently fostered a competitive rather than a cooperative learning ...

To help me explore the why, please mark the sketch you just did. For each of the following criteria, give yourself five marks: Award yourself a mark out of 40 and convert it to a grade: How did you do ...

SlidesCarnival is a platform that provides access to a wide variety of free PowerPoint templates and Google Slides themes that you can easily edit and use in your own presentations. Templates cover ...

The single-step retrosynthesis (SSR) (1) is an essential operation in organic chemistry involving the reversed synthesis of a target product or intermediate in a single step. To achieve automatic ...

Learning to use a track template was among the first tasks I gave myself as a model railroader. You may have seen one of them hanging next to the register in your local hobby shop. Perhaps, in these ...