Prior associative learning studies have used shape categories (e.g., curvy vs. angular).
We conclude that acoustic confounds are a blind spot in artificial grammar learning studies in nonhuman animals.
Many learning studies on the physics of sinking objects have incorporated hands-on experiences as part of their didactic choices (e.g., Kloos & Somerville, 2001).
Since it is known from many machine learning studies that an extension of training data often improves classification scores, an additional set of experiments was carried out based on DNN-HMM system which provides the best results.
This taxonomy allows us to compare and discuss embodied learning studies ranging from only limited degrees of movement to full-body movement systematically and informatively (for similarly broad perspectives on educational EC research, see de Koning & Tabbers, 2011; van Gog, Paas, Marcus, Ayres, & Sweller, 2009).
When parents are engaged in their students learning, studies show this improves student outcomes.
In recent years, real-time analysis of brain signals with fMRI [15], [29], and EEG [5], have made it possible to perform neurofeedback based learning studies.
Learning studies (see below) indicate that fetuses can also perceive temporal variations in the spectra and in amplitude of complex auditory streams such as speech sequences.
Most prenatal auditory learning studies in the newborn used various versions of the maternal voice, speech, language and musical stimuli as reinforcers in operant learning tasks.
Whereas the ionotropic quick acting component has been assumed to mediate many varieties of motor learning, studies of the contribution of the mGluR-mediated slow component to motor execution are relatively recent [18], [26].
We describe the prototype of a modular, highly-flexible, second-generation system that allows quantitative characterization (behavioral and sensory phenotyping) as well as individual feedback (memory and learning studies) using several different modalities.
