Publication: Using e-status for assist learning in a probability and statistics subject
Loading...
Date
Authors
Pérez, Silvia Noemí
Giuliano, Mónica
Journal Title
Journal ISSN
Volume Title
Publisher
IEOM Society International
DOI
Abstract
In the subject Probability and Statistics for Engineering careers at National University of La Matanza, Argentina, a high number of dropouts and disapprovals are observed. Taking this into account, the professors of this subject started some years ago to use an automatic self-correcting web platform called e-status. This platform has the free software R as a calculation engine and allows parameterizing problems so that students can solve it several times, with variations. The students have an active repository of problems to practice the contents proposed by their teachers, obtaining immediate correction of their results. Although the results obtained in previous publications of this research group show a clear incidence of the practice in status on the approval of the subject, it was observed the need to accompany the numerical exercises with others of conceptual or theoretical type to favor reflection and metacognition of the contents. Students require more guidance for learning in e- learning spaces that favor the questioning of their conceptual assumptions and their way of appropriating the contents. To take these aspects into account, we worked on the contents of the platform and offered students a course in metacognitive strategies. The monitoring carried out from 2016 to 2018 shows a statistically significant academic improvement in favor of those who use the platform. Additionally, the increase in the use of the platform is an indicator of the value given by students and teachers to it, with a positive effect on the approval of the subject and consequently on the decrease in dropouts.
Description
Keywords
Citation
Pérez, S., & Giuliano, M. (2021, April 5–8). Using e-status for assist learning in a Probability and Statistics subject. In 2nd South American International Conference on Industrial Engineering and Operations Management. IEOM Society International, São Paulo, Brasil. https://doi.org/10.46254/SA02.20210117
Collections
Endorsement
Review
Supplemented By
Referenced By
Creative Commons license
Except where otherwise noted, this item's license is described as info:eu-repo/semantics/OpenAccess
