Digital collaborative writing in the quality management postgraduate
DOI:
https://doi.org/10.36958/sep.v7i1.248Keywords:
collaborative digital writing, evaluation, perception, postgraduate, quality managementAbstract
OBJECTIVE: this study aimed to compare the student grades assigned to variables related to their experience in participating in the collaborative digital editing of an application work in a statistics course within a postgraduate program in food quality management. METHOD: A quantitative, non-experimental, cross-sectional, and descriptive research approach was employed. A questionnaire with 18 items grouped into six dimensions was administered. Each item used a Likert scale ranging from 1 to 5. The results were analyzed using the non-parametric Kruskal-Wallis test with a 95% confidence level, followed by Dunn’s test with Holm-Sidak adjustment. Out of 30 students enrolled in the course, 28 responded to the questionnaire. RESULTS: Significant differences were found in the scores assigned to the six dimensions, with an associated p-value of 0.000583. Dunn’s test revealed two distinct categories: the first, consisting of the highest-rated dimensions—teacher support, writing evaluation, teamwork, use of digital technology, and course learning. The second category, which received lower ratings, only included perceived difficulties. CONCLUSION: The experience of editing a collaborative digital text, an activity that promotes socially oriented learning, was evaluated as satisfactory by the participating students. However, greater teacher support is needed to address the difficulties related to: a) equitable division of tasks, b) conciliation of opinions, c) active contribution to group work, and d) synchronization of schedules for teamwork.
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Arnao, M. (2019). Validación de un instrumento para la evaluación colaborativa de la escritura digital de textos académicos. En EDUTEC 2019, Tecnologías e innovación para la diversidad y calidad de los aprendizajes. XXII Congreso Internacional (pp. 1289–1295). Pontificia Universidad Católica del Perú. Facultad de Educación. https://bit.ly/3tf8FG0
Ben-Shachar, M., Lüdecke, D., & Makowski, D. (2020). effectsize: Estimation of Effect Size Indices and Standardized Parameters. Journal of Open Source Software, 5(56), 2815. https://doi.org/10.21105/joss.02815 DOI: https://doi.org/10.21105/joss.02815
Calendly. (2023). Facilidad de programación anticipada. https://calendly.com/es
Corder, G. W., & Foreman, D. I. (2014). Nonparametric Statistics: A Step-by-Step Approach. Wiley. https://books.google.com/books?id=hYVYAwAAQBAJ
Deveci, T. (2018). Student Perceptions on Collaborative Writing in a Project-based Course. Universal Journal of Educational Research, 6(4), 721–732. https://doi.org/10.13189/ujer.2018.060415 DOI: https://doi.org/10.13189/ujer.2018.060415
Dunn, O. J. (1964). Multiple Comparisons Using Rank Sums. Technometrics, 6(3), 241–252. https://doi.org/10.1080/00401706.1964.10490181 DOI: https://doi.org/10.1080/00401706.1964.10490181
Godoy, L. F. (2020). Escritura digital y colaborativa: Una práctica discursiva multifacética: Estado del arte y perspectivas para el futuro. Revista Quintú Quimün, 4. https://ri.conicet.gov.ar/handle/11336/131913
Gómez, L., Muñoz, L., & Londoño-Vásquez, D. (2019). El papel del docente para el logro de un aprendizaje significativo apoyado en las TIC. Encuentros, 17(02), 118–131.
https://www.redalyc.org/journal/4766/476661510011/html/
Hakim, M. (2015). Online Collaborative Writing: Students’ Perception. Journal of Creative Practices in Language Learning and Teaching (CPLT), 3(2) 118-131.
https://cplt.uitm.edu.my/v1/images/v3n2/Article2.pdf
Modern Classroom Project. (2024). Collaboration in a Modern Classroom.
https://www.modernclassrooms.org/collaboration
Nasri, N., Habali, A., & Adam, M. (2022). Google Docs: Students’ Perceptions as Online Collaborative Tool in Learning Writing Skills. International Journal of Academic Research in Progressive Education and Development, 11(3), 690–705. https://hrmars.com/index.php/IJARPED/article/view/14611/Google-Docs-Students-Perceptions-as-Online-Collaborative-Tool-in-Learning-Writing-Skills DOI: https://doi.org/10.6007/IJARPED/v11-i3/14611
Patil, I. (2021). Visualizations with statistical details: The “ggstatsplot” approach. Journal of Open Source Software, 6(61), 3167. https://doi.org/10.21105/joss.03167 DOI: https://doi.org/10.21105/joss.03167
R Core Team. (2023). R: A language and environment for statistical computing (4.3) [Software]. R Foundation for Statistical Computing. https://www.R-project.org
Streiner, D. (2003). Starting at the Beginning: An Introduction to Coefficient Alpha and Internal Consistency. Journal of Personality Assessment, 80(1), 99–103. https://doi.org/10.1207/S15327752JPA8001_18 DOI: https://doi.org/10.1207/S15327752JPA8001_18
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