Adaptive neural network is a powerful tool for prediction of air pollution abatement scenarios. But it is often difficult to avoid overfit during the training of adaptive neural n...
The solving of least square systems is a useful operation in neurocomputational modeling of learning, pattern matching, and pattern recognition. In these last two cases, the soluti...
The regulative and semantic `distance' of electronic conferencing may impede the topical alignment and the unambiguous interpretation of messages, hindering collaborative lear...
This research describes a probabilistic approach for developing predictive models of how students learn problem-solving skills in general qualitative chemistry. The goal is to use ...
Ron Stevens, Amy Soller, Melanie Cooper, Marcia Sp...
Abstract. The use of Information and Communication Technology (ICT) in education is one important competence that student teacher should develop in their academic studies. To be ca...