Assessing Thesis Conclusions by their Goal Connectedness, Judgment and Speculation

Autores/as

Palabras clave:

natural language processing, educational data mining, automated text evaluation, goal connectedness, thesis assessment

Resumen

Writing a thesis involves complying with certain requirements and rules established by institutional guides of universities. Students have guidelines to follow when developing their first draft, being insufficient to obtain a good document. This study seeks to help the students improve their first writings, based on natural language processing techniques. We focus primarily on the conclusions section of a thesis, a central element when finishing the research. In this paper, we present a conclusion analyzer that includes three models: goal connectedness, judgment and speculation. Such subsystems try to take care of main expected features in conclusions, specifically the connectedness with the general objective, the evidence of value judgments, and the presence of future work as a result of the student reflection. The study provides initial models, internal exploration of conclusions, and evaluations of our approach. We found in the three features evaluated that graduate level student’s texts outperformed those of undergraduate level. This behavior provides evidence that students with more practice writing a scientific paper or thesis (graduate level), possess better writing skills.

Biografía del autor/a

Samuel González-López, Universidad Tecnológica de Nogales, Sonora

Ph.D. Samuel González López

Computer Science

Associate Professor
Department of Information Technologies and Communication
Technological University of Nogales, Sonora,México

www.utnogales.edu.mx

sgonzalez@utnogales.edu.mx

samuelgonzalezlopez@gmail.com

sgonzalez@ccc.inaoep.mx 

Aurelio López López, Instituto Nacional de Astrofísica, Óptica y Electrónica

Profesor Titular B del Instituto Nacional de Astrofísica, Óptica y Electrónica. Obtuvo su doctorado en Ciencias Computacionales y de la Información en la Universidad de Syracuse Nueva York. Sus áreas de interés son representación del conocimiento, extracción y recuperación de información de textos, minería de textos, así como tratamiento de lenguaje natural

Publicado

2020-12-01

Cómo citar

González-López, S., & López López, A. (2020). Assessing Thesis Conclusions by their Goal Connectedness, Judgment and Speculation. Revista Signos. Estudios De Lingüística, 53(104). Recuperado a partir de http://www.revistasignos.cl/index.php/signos/article/view/262

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