TY - JOUR
T1 - Support System for Exchange Students for the Validation of Courses using Text Mining
AU - Barreda Muñoz, Solange E.
AU - Quiroz Cervantes, Sebastian E.
AU - Martínez Muñoz, Jorge L.
AU - Sulla-Torres, Jose A.
N1 - Publisher Copyright:
© 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Text mining
KW - assessment
KW - student exchange
KW - syllabus comparison
KW - text analysis
UR - http://www.scopus.com/inward/record.url?scp=85150158168&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85150158168
SN - 1613-0073
VL - 3353
SP - 41
EP - 52
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 2022 International Congress of Trends in Educational Innovation, CITIE 2022
Y2 - 8 November 2022 through 10 November 2022
ER -