Neuroimaging studies of audiovisual speech processing have exclusively addressed listeners' native language (L1). Yet, several behavioural studies now show that AV processing plays an important role in non-native (L2) speech perception. The current fMRI study measured brain activity during auditory, visual, audiovisual congruent and audiovisual incongruent utterances in L1 and L2. BOLD response...

Digital divide can be considered a macro economical index representing the social differences and the separation between the North and the South of the world. Since the first definition of digital divide, it has been shown that it is also a great and unrecognized problem in the developed countries, especially in the field of education. “Digital disconnection” is a key problem for School and Uni...

In this paper, we explore spelling errors as a source of information for detecting the native language of a writer, a previously under-explored area. We note that character n-grams from misspelled words are very indicative of the native language of the author. In combination with other lexical features, spelling error features lead to 1.2% improvement in accuracy on classifying texts in the TOE...

With growing exposure of children to handheld and mobile devices, there is an increasing interest in exploring the use of mobile technology for educational purposes. In particular, touch-based devices seem to promise great potential in this domain. In this paper, we present Math Tutor – an Android-based application designed to help children learn and practice early numeracy addition and subtrac...

With the increasing number of mobile platforms available, developers aiming to bring their products to the larger number possible of consumers are required to program for different platforms, using different development environments, and often resulting in applications with different user experiences. A possible solution for this problem are development frameworks supporting develop once, deplo...

Attempts to profile authors based on their characteristics, including native language, have drawn attention in recent years, via several approaches using machine learning with simple features. In this paper we investigate the potential usefulness to this task of contrastive analysis from second language acquistion research, which postulates that the (syntactic) errors in a text are influenced b...

We outline the first application of Native Language Identification (NLI) to Finnish learner data. NLI is the task of predicting an author’s first language using writings in an acquired language. Using data from a new learner corpus of Finnish — a language typology quite different from others previously investigated, with its morphological richness potentially causing difficulties — we show that...

Most current statistical models for downscaling the remotely sensed land surface temperature (LST) are based on the assumption of the scale-invariant LST-descriptors relationship, which is being debated and requires an in-depth examination. Additionally, research on downscaling LST to high or very high resolutions (~10 m) is still rare. Here, a simple analytical model was developed to quantify ...

In this paper, we systematically explore lexicalized and non-lexicalized local syntactic features for the task of Native Language Identification (NLI). We investigate different types of feature representations in singleand cross-corpus settings, including two representations inspired by a variationist perspective on the choices made in the linguistic system. To combine the different models, we ...

0360-1315/$ see front matter 2010 Elsevier Ltd. A doi:10.1016/j.compedu.2010.02.005 * Tel.: +27 46 603 8640; fax: +27 46 636 1915. E-mail address: [email protected] In 2001 Marc Prensky coined the phrase ‘digital natives’ to refer to the new generation of students who have grown up surrounded by technology. His companion papers spurred large amounts of research, debating changes that are requ...