Engineering students' perception of the use of machine learning in accounting learning

dc.creatorLaurens-Arredondo, Luis
dc.creatorHernández-García, Ruber
dc.date2023-03-03T13:22:02Z
dc.date2023-03-03T13:22:02Z
dc.date2022
dc.date.accessioned2024-05-02T20:30:33Z
dc.date.available2024-05-02T20:30:33Z
dc.identifierhttp://repositorio.ucm.cl/handle/ucm/4459
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9274701
dc.descriptionThis article investigates the effects on motivation and learning of topics related to the accounting subject, with theimplementation of Machine Learning as a pedagogical tool in the context of university education. A methodology focused onmotivation called ARCS was implemented. The motivation wasquantified with the Instructional Material Motivational Survey(IMMS) instrument, which was applied to a group of 94 university students. The results show that Machine Learning is accepted and positively valued by students as a pedagogical tool, evidencing the positive stimulation of interest in learning after its use and implementation. It is intended to promote the use of this type of technology by teachers in areas traditionally away from the most innovative technologies. The research provides a validatedmeasurement model and solid scientific references that demonstrate that the implementation of Machine Learning can favorably stimulate students' motivation, as well as their interest in learning and their self-confidence.
dc.languageen
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.sourceProceedings - International Conference of the Chilean Computer Science Society, SCCC, 2022, 1-8
dc.subjectMachine learning
dc.subjectInstruments
dc.subjectPython
dc.subjectInternet
dc.subjectSurges
dc.subjectSolids
dc.subjectSolid modeling
dc.titleEngineering students' perception of the use of machine learning in accounting learning
dc.typeArticle


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