As a professor in computer science, I am always passionate about the development of intelligent systems to support students. I am currently performing my doctoral studies with the objective of propose and implement intelligent, practical and innovative systems for teaching-learning in particular at the higher level with the aim of raising the academic level of undergraduate students and teachers. Specifically, in my doctoral research, I use natural language processing techniques for the analysis of arguments in academic writings. My papers can be seen in researchgate .
The corpus of arguments from thesis and research proposals (CATyPI) is composed of 300 sections; each section has annotated argumentative paragraphs, argumentative components, and relations.
Argument identification prototype for academic writings in Spanish. The scope of the system at the moment is only the identification of paragraphs with argumentative characteristics. Prototype access link
In the prototype, we implement three models to identify argumentative paragraphs in different sections (Problem Statement, Justification, and Conclusion) of academic theses and determine their level of argumentation (low, medium and high). Prototype access link
The Moodle system have a course of analysis of arguments with introductory material for argumentation principles, a questionnaire and the connection to the argument assessment system in the Spanish language. In the argument analysis section, the student can perform the argumentation assessment of three sections types: Problem Statement, Justification and Conclusion. Course access link
Puebla, Mexico
Sonora, Mexico
Sonora, Mexico