Mostrar el registro sencillo del ítem

dc.contributor.authorValls Martínez, María Del Carmen 
dc.contributor.authorMartín Cervantes, Pedro Antonio 
dc.contributor.authorSánchez Pérez, Ana María 
dc.contributor.authorMartínez Victoria, María Del Carmen 
dc.date.accessioned2024-02-05T18:03:46Z
dc.date.available2024-02-05T18:03:46Z
dc.date.issued2021
dc.identifier.citationValls Martinez, M.C., Martín-Cervantes, P. A., Sanchez Perez, A. M., & Martinez Victoria, M.C. (2021). Learning mathematics of financial operations during the COVID-19 era: an assessment with Partial Least Squares Structural Equation Modeling. Mathematics, 9(17), 2120.es_ES
dc.identifier.issn2227-7390
dc.identifier.urihttp://hdl.handle.net/10835/15839
dc.description.abstractThe COVID-19 pandemic has affected all walks of life, including education. Universities have been forced to teach in a blended or online environment, which has led professors to adapt their traditional teaching–learning methodologies. The professors of Mathematics of Financial Operations at the University of Almeria (Spain) have created video tutorials so that students can autonomously prepare the theoretical part of the subject, leaving the face-to-face classes for practical exercises. This article aims to analyze the effectiveness of video tutorials and the autonomy finally achieved by students in their learning. For this purpose, a questionnaire was carried out in which, through 21 questions, the constructs Autonomy, Effectiveness, Depth, Format, Challenge, and Use were assessed. Based on these six latent variables, the proposed model using the Partial Least Squares Structural Equation Modeling (PLS-SEM) methodology revealed that students considered the Format and Depth of the video tutorials crucial for genuinely effective performance learning and promoting their autonomy. On the other hand, the variables Challenge and Use were poorly rated. This article presents an original valuation model, which has the virtue of achieving a prediction of 78.6% and, in addition, has high predictive power.es_ES
dc.language.isoenes_ES
dc.publisherMDPIes_ES
dc.subjectvideo tutorialses_ES
dc.subjectblended learninges_ES
dc.subjectonline learninges_ES
dc.subjectfinancial mathematicses_ES
dc.subjectCOVID-19es_ES
dc.subjectautonomyes_ES
dc.subjecteffectivenesses_ES
dc.subjectPLS-SEMes_ES
dc.titleLearning Mathematics of Financial Operations during the COVID-19 Era: An Assessment with Partial Least Squares Structural Equation Modelinges_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.3390/math9172120


Ficheros en el ítem

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem