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Title: How Well Do Student Nurses Write Case Studies? A Cohesion-Centered Textual Complexity Analysis
Authors: Dascalu, Mihai
Dessus, Philippe
Thuez, Laurent
Trausan-Matu, Stefan
Keywords: Health care
Nursing school
Textual complexity
Infectious diseases and hygiene
Case analysis
Issue Date: Oct-2017
Publisher: Springer
Citation: Dascalu, M., Dessus, P., Thuez, L., & Trausan-Matu, S. (2017). How well do Student Nurses Write Case Studies? A Cohesion-Centered Textual Complexity Analysis. In E. Lavoué, H. Drachsler, K. Verbert, J. Broisin & M. Pérez-Sanagustín (Eds.), 12th European Conference on Technology Enhanced Learning (EC-TEL 2017) (pp. 43–53). Tallinn, Estonia: Springer.
Abstract: Starting from the presumption that writing style is proven to be a reliable predictor of comprehension, this paper investigates the extent to which textual complexity features of nurse students’ essays are related to the scores they were given. Thus, forty essays about case studies on infectious diseases written in French language were analyzed using ReaderBench, a multi-purpose framework relying on advanced Natural Language Processing techniques which provides a wide range of textual complexity indices. While the linear regression model was significant, a Discriminant Function Analysis was capable of classifying students with an 82.5% accuracy into high and low performing groups. Overall, our statistical analysis highlights essay features centered on document cohesion flow and dialogism that are predictive of teachers’ scoring processes. As text complexity strongly influences learners’ reading and understanding, our approach can be easily extended in future developments to e-portfolios assessment, in order to provide customized feedback to students.
Appears in Collections:1. RAGE Publications

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