Cédrick Bellissens

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In the present article, we outline the architecture of a computer program for simulating the process by which humans comprehend texts. The program is based on psycholinguistic theories about human memory and text comprehension processes, such as the construction-integration model (Kintsch, 1998), the latent semantic analysis theory of knowledge(More)
A preliminary model based on a child corpus In contrast to many LSA semantic spaces in the literature which are based on domain-specific corpora, we chose to build a general child corpus intended to model children's semantic memory (Denhière, Lemaire, Bellissens & Jhean-Larose, 2004) and to offer a layer of basic semantic associations on top of which(More)
We evaluated the effectiveness of new indices of text comprehension in measuring relative text difficulty. Specifically, we examined the efficacy of automated indices produced by the web-based computational tool Coh-Metrix. In an analysis of 60 instructional science texts, we divided texts into groups that were considered to be more or less difficult to(More)
The aim of this study was to investigate the construction of a retrieval structure during reading, according to the hypothesis that text macrostructure is used in Long-term working memory (Ericsson & Kintsch, 1995) to maintain encoded information in an accessible format. We first designed an experiment for testing the hypothesis that retrieval structure is(More)
Comprehension of science texts is challenging, particularly when the reader lacks the skills or knowledge necessary to fill in conceptual gaps in the text content. The iSTART system was developed to help readers learn and practice reading strategies to improve their ability to comprehend challenging text. This study describes a new iSTART module recently(More)
The Interactive Strategy Trainer for Active Reading and Thinking (iSTART) is an intelligent tutoring system that provides students with automated training on reading strategies. In particular, iSTART helps students integrate textual information into a coherent mental representation through self-explanation. The goal of the present study was to examine how(More)
— Tutors have only limited time to support the learning process. In this paper, we introduce a model that helps answering the questions of students. The model invokes the knowledge and skills of fellow students by bringing them together based on the combination of question posed and their study progress and supports them with text fragments selected from(More)
The Interactive Strategy Trainer for Active Reading and Thinking (iSTART) is an intelligent tutoring system that provides students with automated training on reading strategies. In particular, iSTART trains students to self-explain target sentences so as to integrate encoded information into a coherent mental representation. The goal of this study was to(More)
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