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Predictors of Academic Satisfaction Through Activities with Turnitin

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Emerging Research in Intelligent Systems (CIT 2023)

Abstract

The study set out to identify the predictive variables of academic satisfaction among 391 university students using the Turnitin platform during June and July 2023. The teaching and orientation skills, knowledge of citation and reference techniques, and critical thinking and writing skills are assessed quantitatively using a model based on structural equations. The results revealed that critical thinking and writing skills did not show a significant effect. However, teaching and guidance skills and knowledge of citation and reference techniques significantly impacted academic satisfaction. Focusing on improving teaching and guidance skills and knowledge of citation and reference techniques can enhance the academic satisfaction of university students.

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Correspondence to Olger Gutierrez-Aguilar .

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Gutierrez-Aguilar, O., Huarsaya-Rodriguez, E., Torres de Manchego, V., Duche-Pérez, A. (2024). Predictors of Academic Satisfaction Through Activities with Turnitin. In: Olmedo Cifuentes, G.F., Arcos Avilés, D.G., Lara Padilla, H.V. (eds) Emerging Research in Intelligent Systems. CIT 2023. Lecture Notes in Networks and Systems, vol 903. Springer, Cham. https://doi.org/10.1007/978-3-031-52258-1_24

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