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Collaborative learning and text production of original texts

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Date
2022
Author(s)
Montoya Cantoral, Elisa
Gómez Carbonel, Piero
Niño Cueva, Moisés Ronal
Villaba-Condori, Klinge Orlando
Silva Sprock, Antonio
Niño Cueva, Danes Carlos Enrique
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Abstract
University education faces several challenges and difficulties in the development of soft skills in students, especially in the ability to work in a team and communicate their ideas with coherence and cohesion through original texts. These skills go beyond the academic environment because it is necessary for successful integration into the labor market. Therefore, this work aims to generate collaborative experiences to produce original texts. The methodology applied is two activities scheduled during the 2019-I academic semester: the advance and final document; hence, it was established to use plagiarism software to submit academic papers and create collaborative experiences to contrast their errors and seek collaborative strategies to raise observations. Results contributed significantly to both competencies, since there is an increase in the average of the classroom of 3.05 in the production of texts; and as well as the decrease in the percentage of copy in the final presentation of the academic text of initial research to the 20% of similarity as opposed to the 50% of similarity of the majority of students in the first presentation.
URI
https://hdl.handle.net/20.500.12724/17967
DOI
https://doi.org/10.1109/LACLO56648.2022.10013405
How to cite
Montoya Cantoral, E., Gómez Carbonel, P., Niño Cueva, D. C. E., Niño Cueva, M. R., Villalba-Condori, K. O. & Silva Sprock, A. (2022). Collaborative learning and text production of original texts. In Proceedings of the 17th Latin American Conference on Learning Technologies, LACLO 2022, Armenia, Colombia, October 2022. https://doi.org/10.1109/LACLO56648.2022.10013405
Publisher
IEEE
Category / Subcategory
Pendiente / Pendiente
Subject
Pendiente
Note
Indexado en Scopus
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  • Estudios Generales [82]


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Contacto: repositorio@ulima.edu.pe

Todos los derechos reservados. Diseñado por Chimera Software