Universities usually have a service to carry out student exchanges through the agreements established between the institutions. This service follows specific steps, including reviewing the syllabi, which generally takes a long time due to inconvenience. That is why an alternative solution is proposed with the use of text mining to compare the syllabus of each course and thus ensure an optimal and effective validation of courses. For this, the proposal has been based on the Rational Unified Process following all its phases and the R language for its implementation with a case study of a university in the city of Arequipa-Peru. The results showed that it was possible to find the most frequent and related words in the similarity of the syllabic documents. Therefore, it is concluded that the contribution provided by Text Mining helped improve the process of validating courses for student exchange between institutions.
|Número de páginas
|CEUR Workshop Proceedings
|Publicada - 2023
|2022 International Congress of Trends in Educational Innovation, CITIE 2022 - Arequipa, Perú
Duración: 8 nov. 2022 → 10 nov. 2022