Plataforma web que determina el índice de lecturabilidad de un texto.

Evidently, most texts are not read in the same way, with the same prior knowledge or with the same level of difficulty, so each text, depending on the level of the reader, there will be an answer to it: assertive or rejection. When a reader is confronted with a text, he is faced with a mental process that results in triangular interaction: mental processing, texts, and acceptance of content. This interaction is influenced by the skills of the reader, the memory of the reader, and the vocabulary they know, including the structure of the text. It's there where the reader identifies if it is easier to read and understand, compared to others. For this reason, in the analysis and development in the reading comprehension of each individual, the readability initiates a particular relevance due to its influence on the readers. In the absence of pedagogical aids and programs in these processes, there are formulas that determine the readability rates of a text, which, together with software development, highlight the advantages of more easily identifying the levels at which the texts are found. , and the demands that the reader demands to be able to understand it in its majority. The project consists of the development of a web platform that determines the readability index of a text, which results in the categorization of schooling to which the text belongs and its level of difficulty. The project development methodology will be based on a mixture of method techniques that will help in the development of the application. Only texts in Spanish will be worked on for analysis. With the results, a different solution was obtained for users from different areas of knowledge, which allows them to identify how complex a text is, through a previous analysis, and to identify what category of education the structure of the text resembles, along with its readability, under the design, modeling, development and implementation of the web platform.

• Autores: Gutierrez Orozco, Carlos Mario; Andrades Guarnizo, Sebastian; Paz Barragan, Daniel Enrique
• Fecha de publicación: 2020
• Institución: Universidad del Norte
• Repositorio: Repositorio Uninorte
• Idioma: spa
• OAI Identifier: oai:manglar.uninorte.edu.co:10584/8870
• Acceso en línea: http://hdl.handle.net/10584/8870
• Palabra clave: reading comprehension; web development; readability index; readability software; comprensión lectora; desarrollo web; índice de lecturabilidad; lecturabilidad software
• License: Universidad del Norte