The Impact of Cognitive and Non-Cognitive Text-Based Factors on Solving Mathematics Story Problems

They do require a polynomial number of steps for general functions over a compact do- main [a, b], but are not always polynomial over unbounded domains: computing f(t), hence

The similarity values given by cosine and the cosine random walk will increasingly differ the more that the start problem has relatively higher degree centrality due either to

In addition, models of neural networks were implemented such as a multilayer perceptron, LSTM, a convolutional neural network. An assessment was made of the quality of work

This section explains how the Stella story generation system has been adapted to generate short suspenseful stories by including elements and actions that convey affective

The differences in classification performance of three common classifiers, across message lengths and across enhancement meth- ods, as measured by the F1 score for accuracy

the subgroup of positive whole numbers and negative ones. So, we can say he knows the rules and the principles of operations involving positive and negative integer

“average” non-specialist student (see row 1), recording a 57.74% chance of reporting a better academic performance than he initially expected and 10.52% likelihood

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