Title
Evaluation of the Index of Similarity Detected by Turnitin® in Research Projects of a Master's Degree in Higher Education
Date Issued
01 January 2020
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
CEUR-WS
Abstract
The objective of this study is to compile samples of errors extracted from research papers that illustrate the different conflicts in the theoretical sections after the application of the Turnitin® software. To do this, 28 theoretical sections were selected, drawn from research projects written by students of a master's degree in Higher Education at a private university in southern Peru in 2020. The design is non-experimental, cross-sectional with a quantitative approach. Descriptive statistics were used to analyze the data. The results show that with regard to the level of similarity found the documents analyzed are at level IV (50-74%), while the types of plagiarism with the greatest presence are “copy and paste” and “search and replace”. Among the sources with a high coincidence index are theses and articles from scientific journals, while the section with the highest percentage of similarity and the highest number of cases of plagiarism is the theoretical framework. In this sense, the Turnitin software® is suitable for reporting the degree of similarity in research papers as it helps to detect signs of possible cases of plagiarism.
Start page
166
End page
176
Volume
3099
Language
English
OCDE Knowledge area
Ciencias de la computación Ciencias de la educación
Scopus EID
2-s2.0-85126457482
ISBN
9786124443275
Source
CEUR Workshop Proceedings
ISSN of the container
16130073
Sources of information: Directorio de Producción Científica Scopus