In this study, we analyze how 9–10-year-old pupils work with equations, a central aspect of algebraic thinking in early grades and a cornerstone for more formal learning of algebra. Specifically, we seek: (a) to describe ...

Numerical vector representations are able to represent from words to meanings, in a low-dimensional continuous space. These representations are based on distributional modeling, where the context in which the word occurs ...

Traditional word embeddings approaches, such as bag-of-words models, tackles the problem of text data representation by linking words in a document to a binary vector, marking their occurrence or not. Additionally, a term ...

Different from the first attempts to solve the image categorization problem (often based on global features), recently, several researchers have been tackling this research branch through a new vantage point - using features ...

Different from the first attempts to solve the image categorization problem (often based on global features), recently, several researchers have been tackling this research branch through a new vantage point - using features ...

Several studies on analogical transfer to algebra word problems have demonstrated that adapting solutions learned from worked-examples to non-isomorphic problems of the same type is challenging, and that most instructional ...

Abstract. The problem of Word Sense Disambiguation (WSD) is about selecting the correct sense of an ambiguous word in a given context. However, even if the problem of WSD is difficult, when we consider its bilingual version, ...

The purpose of this study is to investigate to what extent the use of L2 in math tests influences bilingual education learners’ process of word problem solving in a mandatory secondary education school with Content and ...