This project aims to develop a generic tool to analyze and organize textual contents in order to resolve the structuring problem resulting from the large flow of information in an organization. One of the objectives is to facilitate assessment of the knowledge representation resulting from natural language speech, which also corresponds to a need featured by new learning modes such as textual computer-assisted communication
Research is based on the premise that there is a correlation between speech structure and knowledge representation, and that by modeling some linguistic and discursive forms, one can find cognitive developments and their relative locations within a text. The theoretical objective is to exploit the marks left in text by the speaker in order to obtain indications for text interpretation. At the practical level, the objective consists in designing assistance tools for qualitative text analysis.
The expected applications are directly related to telelearning, and more specifically, to learning through teleconferencing. The research work focuses partly on the analysis of text (discourse) produced by learners in a telelearning situation, and partly on the analysis of textual contents (statements) related to two different courses. This should contribute to better understand the learner's representation/cognition processes.