Web-quests are internet-based technology applications in which groups of students follow a specific set of steps toward the completion of a final project on a specific subject or a multi-disciplinary subject. The present study aimed to investigate the impacts of using web-quests on learning vocabulary by Iranian pre-university students. The sample of the study consisted of 72 students assigned ...

Theories and research in embodied cognition postulate that cognition grounded in action enjoys a processing advantage. Extending this theory to the study of how fine motor skills (FMS) link to vocabulary development in preschool children, the authors investigated FMS and vocabulary in 76 preschoolers. Building on previous research, they hypothesized that links between FMS and vocabulary were dr...

In light of evidence that receptive language may be a relative weakness for individuals with autism spectrum disorder (ASD), this study characterized receptive vocabulary profiles in boys with ASD using cross-sectional developmental trajectories relative to age, nonverbal cognition, and expressive vocabulary. Participants were 49 boys with ASD (4-11 years) and 80 typically developing boys (2-11...

This study investigates the predictive value of child-related and environmental characteristics for early lexical development. The German productive vocabulary of 51 2-year-olds (27 girls), assessed via parental report, was analyzed taking children's gender, the type of early care they experienced, and their mono- versus bilingual language composition into consideration. The children were from ...

The primary purpose of this study was to assess the effects of contextuallybased multiple meaning (i.e., words with multiple meanings) vocabulary instruction on the vocabulary knowledge and reading comprehension of students. Third and 5th grade students received either contextuallybased multiple meaning vocabulary instruction embedded in the standard language arts instruction offered to all stu...

We present a multi-pass approach to real-time, largevocabulary speech recognition in which we dynamically manipulate the vocabulary between passes. For recognition tasks where subsets of the vocabulary can be triggered by the occurences of other words or phrases, a combination of unknown word modelling and vocabulary refinement can be utilized to attack large-vocabulary tasks with relatively sm...