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11

According to current models of human concept learning, the answer to your question is both. Think of a simplified domain in which every object consists of only several features, and therefore can be visualized as a point in some multidimensional feature space. For example, the features that define objects might be its size, shape, color, and weight. ...


10

SVM training is typically done in a batch processing, and thus the order of data presentation doesn't matter. You should consider online learning algorithms, for example, the perceptron learning rule. These algorithms are in general stochastic gradient descent optimization procedures, and easy examples early on with larger learning step would be much more ...


7

General pedagogical ideas around optimal difficulty Many theories of instruction suggest that learning is optimal when an appropriate level of challenge is maintained. If a task is too easy, there's little to learn. If a task is too difficult, the learner can be overwhelmed. The implication for practice is that task difficulty should increase in conjunction ...


6

Consider the colour visual system. Take 3 monochromatic (in the physics sense) light sources of wavelength $420 \; nm$, $534 \; nm$, and $564 \; nm$; i.e. the peaks of spectral sensitivity for cones. Your 3 physical parameters are then 3 knobs $b$, $g$, $r$ that control the intensity of each light source as they shine on the same white surface. If you want ...


6

Another way of thinking about this is that by progressing easy-to-hard, different intermediate knowledge structures are called into existence in the course of processing. These knowledge structures, built from an agent's encounter with easy problems, can prove useful in its encounter with subsequent and more difficult problems. This idea has been around ...


5

Interesting question. I've written up a discussion of the model-based training literature and how it relates structuring task difficulty with practice. That said, I feel it's only a start and my apologies that it is more pitched at cognitive tasks than perceptual tasks. A summary of model-based training systems Fu et al (2006) have a paper on real-time ...


4

General literature on training and educational program evaluation In general, you would want to read up about program evaluation in general, and educational program evaluation, and training evaluation in particular. With regards to the educational context I found this article online. With regards to training evaluation, you could check out Kraiger et al ...


3

You are looking at learning from the wrong direction. A child does not learn a word. A child learns about a detail of the world and the word that is used to denote it. The word comes with the experience and is only attached to that experience as a label. What the child learns is the world. Adult learning is mostly similar. You either observe or experience ...


2

The basic effect can be accounted for by connectionist models. See for example Suret & McLaren (2002). To quote the abstract: This paper details an associative model that is applied to human learning on an artificial dimension. A variety of phenomena, including peak-shift, transfer along a continuum and summation / generalization are considered ...


1

Quote from article at http://www.ncbi.nlm.nih.gov/pubmed/23805119 Infants prefer speech to non-vocal sounds and to non-human vocalizations, and they prefer happy-sounding speech to neutral speech. They also exhibit an interest in singing, but there is little knowledge of their relative interest in speech and singing. The present study explored infants' ...


1

I've found an additional concept that may be related to the original question: prototype theory. Here's a summary from Wikipedia: Prototype theory is a mode of graded categorization in cognitive science, where some members of a category are more central than others. For example, when asked to give an example of the concept furniture, chair is more ...



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