A compelling demonstration of implicit learning is the human ability to unconsciously detect and internalize statistical patterns of complex environmental input. This ability, called statistical learning, has been investigated in people with dyslexia using various tasks in different orthographies. However, conclusions regarding impaired or intact…

Existing tools aim to detect university students with early diagnosis of dyslexia or reading difficulties, but there are not developed tools that let those students better understand some aspects of their difficulties. In this paper, a dashboard for visualizing and inspecting early detected reading difficulties and their characteristics, called…

Response to Intervention (RTI) models of reading instruction have received much attention in the literature (Fuchs, Mock, Morgan, & Young, 2003; Hosp & Ardoin, 2008; Justice, 2006). Such models call for frequent and high-quality assessment of students' skills. One skill that is vital in the process of learning to read is the ability to…

This article utilises a multiple case study strategy to explore the narratives of Caribbean students with dyslexia on grouping for instruction. It presents a model on learner engagement which highlights students' cognitions about the social and cognitive aspects of learning and the processes that contribute to building knowledge and understanding.…

We present an inference algorithm for perturbation models based on Poisson regression. The algorithm is designed to handle unclassified input with multiple errors described by independent mal-rules. This knowledge representation provides an intelligent tutoring system with local and global information about a student, such as error classification…