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Computer-based learning of spelling skills in children with and without dyslexia

Overview of attention for article published in Annals of Dyslexia, May 2011
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Title
Computer-based learning of spelling skills in children with and without dyslexia
Published in
Annals of Dyslexia, May 2011
DOI 10.1007/s11881-011-0052-2
Pubmed ID
Authors

Monika Kast, Gian-Marco Baschera, Markus Gross, Lutz Jäncke, Martin Meyer

Abstract

Our spelling training software recodes words into multisensory representations comprising visual and auditory codes. These codes represent information about letters and syllables of a word. An enhanced version, developed for this study, contains an additional phonological code and an improved word selection controller relying on a phoneme-based student model. We investigated the spelling behavior of children by means of learning curves based on log-file data of the previous and the enhanced software version. First, we compared the learning progress of children with dyslexia working either with the previous software (n = 28) or the adapted version (n = 37). Second, we investigated the spelling behavior of children with dyslexia (n = 37) and matched children without dyslexia (n = 25). To gain deeper insight into which factors are relevant for acquiring spelling skills, we analyzed the influence of cognitive abilities, such as attention functions and verbal memory skills, on the learning behavior. All investigations of the learning process are based on learning curve analyses of the collected log-file data. The results evidenced that those children with dyslexia benefit significantly from the additional phonological cue and the corresponding phoneme-based student model. Actually, children with dyslexia improve their spelling skills to the same extent as children without dyslexia and were able to memorize phoneme to grapheme correspondence when given the correct support and adequate training. In addition, children with low attention functions benefit from the structured learning environment. Generally, our data showed that memory sources are supportive cognitive functions for acquiring spelling skills and for using the information cues of a multi-modal learning environment.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 2 1%
United States 2 1%
Netherlands 1 <1%
United Kingdom 1 <1%
France 1 <1%
Mexico 1 <1%
Philippines 1 <1%
Unknown 176 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 47 25%
Student > Ph. D. Student 36 19%
Student > Bachelor 22 12%
Researcher 13 7%
Student > Doctoral Student 9 5%
Other 27 15%
Unknown 31 17%
Readers by discipline Count As %
Psychology 52 28%
Social Sciences 37 20%
Computer Science 23 12%
Linguistics 10 5%
Medicine and Dentistry 6 3%
Other 21 11%
Unknown 36 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 March 2014.
All research outputs
#15,295,786
of 22,747,498 outputs
Outputs from Annals of Dyslexia
#177
of 247 outputs
Outputs of similar age
#83,468
of 109,799 outputs
Outputs of similar age from Annals of Dyslexia
#2
of 2 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 109,799 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.