Seven- and eight-year-old deaf children and hearing children of equivalent reading age were presented with a number of tasks designed to assess reading, spelling, productive vocabulary, speechreading, phonological awareness, short-term memory, and nonverbal intelligence. The two groups were compared for similarities and differences in the levels of performance and in the predictors of literacy....

Reading aloud performance in children is typically assessed by teachers on an individual basis, manually marking reading time and incorrectly read words. A computational tool that assists with recording reading tasks, automatically analyzing them and providing performance metrics could be a significant help. Towards that goal, this work presents an approach to automatically predicting the overa...

dependence on computers and internet has given birth to digital literacy. however, research into its influences on the reading process is still in its infancy. to fill the gap, this study was designed to investigate the ways in which text presentation mode (paper vs. digital) affects reading comprehension, as well as reading attitudes. to this end, a sample of 30 male and female english major s...

Evaluating children’s reading aloud proficiency is typically a task done by teachers on an individual basis, where reading time and wrong words are marked manually. A computational tool that assists with recording reading tasks, automatically analyzing them and outputting performance related metrics could be a significant help to teachers. Working towards that goal, this work presents an approa...

This paper presented two complex span tasks in Persian as measures of working memory capacity (WMC). Firstly, the construct of working memory (WM) and possible WM measures that could assess this construct efficiently were critically reviewed. Accordingly, as measures of domain-general components of WM, a reading span task and an operation span task which were documented to assess this construct...

An Electroencephalogram (EEG) is the recording of electrical activity from the surface of the brain. It is proved that there is a significant amount of individuality in the EEG signals, accordingly its can be treated as a biometric feature for an individual and used for human identification. In this paper, we present an artificial immune system for identifying users using EEG signals; we conduc...