This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

Learning outcomes and objectives are the fundamental elements of most well-designed courses. Well-conceived outcomes and objectives serve as guideposts to help instructors work through the design of a ...

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 ...

Rick: A lot of parents and educators may be familiar with the phrase “mastery learning” but not have a clear idea what it means in practice. What is it exactly? Scott: My journey began in 2012 when I ...

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 ...

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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 ...

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 ...

Scenario-based learning is in line with strategies for teaching adults known as andragogy, a term popularized in contemporary higher education by Malcolm Knowles (1913–1997), a central figure in U.S.