Automatic categorization of answers by applying supervised classification algorithms to the analysis of student responses to a series of multiple choice questions

Abstract:

In recent years there has been a growing interest in machine learning for the classification and categorization of documents, texts and questions. This allows automating processes that if done with the intervention of the human being could have a high cost in time, and opens the doors for its implementation with inclusive systems for students with physical disabilities. This article describes a research work that uses data mining techniques to obtain classifiers that automatically identify the correct answers expressed by students, and these answers are then associated with a question with different options that are part of the process of evaluating the knowledge acquired by students during their formative process. In view of these consideration, where each question had multiple feasible, where each question had multiple feasible options to be selected; however, each question had only one correct answer. The …

Año de publicación:

2020

Keywords:

Fuente:

google