Problem-based approaches to learning have a long history of advocating experience-based
education. Psychological research and theory suggests that by having students learn …

Although its origins have been traced back much further, research in the area of learning
style has been active for—at a conservative estimate—around four decades. During that …

The field of meta-learning, or learning-to-learn, has seen a dramatic rise in interest in recent
years. Contrary to conventional approaches to AI where tasks are solved from scratch using …

When the original Visible Learning® was published in 2008, it instantly became a publishing
sensation. Interest in the book was unparalleled; it sold out in days and was described by …

Learning information from a single or a few samples is called few-shot learning. This
learning method will solve deep learning's dependence on a large sample. Deep learning …

Small sample learning aims to learn information about object categories from a single or a
few training samples. This learning style is crucial for deep learning methods based on large …

Due to the inherent model uncertainty, learning to infer Bayesian posterior from a few-shot
dataset is an important step towards robust meta-learning. In this paper, we propose a novel …

John Dewey was a pragmatist, progressivist, educator, philosopher, and social reformer
(Gutek, 2014). Dewey's various roles greatly impacted education and he was perhaps one of …

What are the characteristics of a school as learning organisation? This paper should be
seen as an attempt to work towards a common understanding of the school as learning …

We challenge a common assumption underlying most supervised deep learning: that a
model makes a prediction depending only on its parameters and the features of a single …