The present study used 2 different discrimination tasks designed to isolate distinct components of visuospatial learning: structural learning and geometric learning. Structural learning refers to the ability to learn the precise combination of stimulus identity with stimulus location. Rats with anterior thalamic lesions and fornix lesions were unimpaired on a configural learning task in which t...

Although already William James and, more explicitly, Donald Hebb's theory of cell assemblies have suggested that activity-dependent rewiring of neuronal networks is the substrate of learning and memory, over the last six decades most theoretical work on memory has focused on plasticity of existing synapses in prewired networks. Research in the last decade has emphasized that structural modifica...

It goes without saying that there are many influential factors affecting the success of any learning experience, and teachers are definitely among the significant factors influencing the process of teaching and learning. In this respect, the present study sought to investigate the prediction of Iranian English as a Foreign Language (EFL) learners' learning approaches through their teachers’ nar...

This paper focuses on how to perform the unsupervised learning of tree structures in an information theoretic setting. The approach is a purely structural one and is designed to work with representations where the correspondences between nodes are not given, but must be inferred from the structure. This is in contrast with other structural learning algorithms where the node-correspondences are ...

This study aims to explore the effectiveness of computer-assisted musical instruction (CAMI) in the Learning Chinese Musical Instruments (LCMI) course. The CAMI software for Chinese musical instruments was developed and administered to 228 students in a vocational high school. A pretest-posttest non-equivalent control group design with three classes designated as the experimental group for the ...

Despite an abundance of computational models for learning of synaptic weights, there has been relatively little research on structural plasticity, i.e., the creation and elimination of synapses. Especially, it is not clear how structural plasticity works in concert with spike-timing-dependent plasticity (STDP) and what advantages their combination offers. Here we present a fairly large-scale fu...

Specialized software in structural analysis and design are now commercially available and may be adopted in schools to teach students on the use of state-of-the-art software. However, learning to use the software should not be the main objective when these software are integrated in the classroom. Methods on how these software be used to generate “new knowledge” and deepen the understanding on ...