Understanding student cognitive states is essential for assessing human learning. The deep neural networks (DNN)-inspired cognitive state prediction method improved prediction performance significantly; however, the lack of explainability with DNNs and the unitary scoring approach fail to reveal the factors influencing human learning. Identifying…

This study aimed to determine how Chinese children adapt to Chinese orthography-phonology correspondence by acquiring phonetic radical awareness (PRA). This study used two important Chinese encoding approaches (rote and orthographic approaches) as the developmental trajectory, in which the present study hypothesized that phonological awareness…

In order to learn the mappings from words to referents, children must integrate co-occurrence information across individually ambiguous pairs of scenes and utterances, a challenge known as cross-situational word learning. In machine learning, recent multimodal neural networks have been shown to learn meaningful visual-linguistic mappings from…

Recent studies of second language (L2) construction learning using artificial linguistic systems have begun to closely examine the role of individual differences, including personality. In such studies, adult participants learn form-meaning mappings after exposure, with scores on generalization tests as a standard criterion for learning. This…

The course of science is considered to boring and difficult course to be understood by students of science education program. The aims of this research are examine the effect of RMS learning model in mastering the students concepts; 2) examine the effect of difference academic ability in mastering students concept; 3) examine the effect of…

Background: Teachers and clinicians may struggle to provide early identification to support multilingual children's language development. Dynamic assessments are a promising approach to identify and support children's language development. Aims: We developed and studied a novel word learning task that is dynamic and language neutral. It makes use…

Although young children can map a novel name to a novel object, it remains unclear what they actually remember about objects when they initially make such a name-object association. In the current study we investigated (1) what children remembered after they were initially introduced to name-object associations and (2) how their vocabulary size…

The purpose of this study was to examine early fast mapping abilities in late talkers (LT) and typically developing (TD) Spanish-speaking children by considering the effect of different variables on fast mapping (age, vocabulary level, grammatical category and number morphology). Thirty-eight Spanish-speaking children were assessed at three times…

Although relational reasoning has been described as a process at the heart of human cognition, the exact character of relational representations remains an open debate. Symbolic-connectionist models of relational cognition suggest that relations are structured representations, but that they are ultimately grounded in feature sets; thus, they…

Over the past several decades, researchers have discovered a great deal of information about the processes underlying language acquisition. From as early as they can be studied, infants are sensitive to the nuances of native-language sound structure. Similarly, infants are attuned to the visual and conceptual structure of their environments…

There are many continuous quantitative dimensions in the physical world. Philosophical, psychological and neural work has focused mostly on space and number. However, there are other important continuous dimensions (e.g., time, mass). Moreover, space can be broken down into more specific dimensions (e.g., length, area, density) and number can be…