NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Lev-Ari, Shiri – Cognitive Science, 2016
People differ in the size of their social network, and thus in the properties of the linguistic input they receive. This article examines whether differences in social network size influence individuals' linguistic skills in their native language, focusing on global comprehension of evaluative language. Study 1 exploits the natural variation in…
Descriptors: Social Networks, Semantics, Language Processing, Dining Facilities
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Farrus, Mireia; Costa-jussa, Marta R. – International Review of Research in Open and Distance Learning, 2013
Assessment in education allows for obtaining, organizing, and presenting information about how much and how well the student is learning. The current paper aims at analysing and discussing some of the most state-of-the-art assessment systems in education. Later, this work presents a specific use case developed for the Universitat Oberta de…
Descriptors: Semantics, Electronic Learning, Feedback (Response), Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
Breen, Mara; Watson, Duane G.; Gibson, Edward – Language and Cognitive Processes, 2011
This paper evaluates two classes of hypotheses about how people prosodically segment utterances: (1) meaning-based proposals, with a focus on Watson and Gibson's (2004) proposal, according to which speakers tend to produce boundaries before and after long constituents; and (2) balancing proposals, according to which speakers tend to produce…
Descriptors: Local History, Sentences, Intervals, Verbs
Peer reviewed Peer reviewed
Direct linkDirect link
Bermeitinger, Christina; Wentura, Dirk; Frings, Christian – Brain and Language, 2008
There is abundant evidence from behavioral and neurophysiological experiments for the distinction of natural versus artifactual categories and a gender-specific difference: women's performances in cognitive tasks increase when natural categories are used, whereas men's performances increase with artifactual categories. Here, we used the semantic…
Descriptors: Females, Models, Semantics, Familiarity