Architecture and Operativeness of an Automated Examination Correction System, Using Directed Graphs

Authors

  • María Alejandra Paz Menvielle Universidad Tecnológica Nacional - Argentina
  • Mario Alberto Groppo Universidad Tecnológica Nacional - Argentina
  • Marcelo Martín Marciszack Universidad Tecnológica Nacional - Argentina
  • Analía Guzmán Universidad Tecnológica Nacional - Argentina
  • Karina Ligorria Universidad Tecnológica Nacional - Argentina
  • Martín Cassatti Universidad Tecnológica Nacional - Argentina

DOI:

https://doi.org/10.33414/rtyc.33.29-44.2018

Keywords:

text analysis, graphs, pattern detection, route detection, architecture

Abstract

This paper describes the designed architecture and the implemented operationto analyze the student answers written in natural language text format, to examquestions. It shows the techniques that will allow assigning values to the concepts and therelationships in order to analyze the response provided by the student and compare it with the weighting of the basic response made by a teacher. These techniques consider all the cases, including the different degrees of success that the student's response can have, detailing the mechanisms that must beused to analyze concepts and relationships to obtain the weighting of the provided answer

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Published

2018-10-17

How to Cite

Paz Menvielle, M. A., Groppo, M. A., Marciszack, M. M., Guzmán, A., Ligorria, K., & Cassatti, M. (2018). Architecture and Operativeness of an Automated Examination Correction System, Using Directed Graphs. Technology and Science Magazine, (33), 29–44. https://doi.org/10.33414/rtyc.33.29-44.2018

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Section

Artículos