Learning Mathematics of Financial Operations during the COVID-19 Era: An Assessment with Partial Least Squares Structural Equation Modeling

The 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 Univ...

Full description

Bibliographic Details
Main Authors: Valls Martínez, María del Carmen, Martín-Cervantes, Pedro Antonio, Sánchez Pérez, Ana María, Martínez Victoria, María del Carmen
Format: info:eu-repo/semantics/article
Language:English
Published: MDPI 2021
Subjects:
Online Access:http://hdl.handle.net/10835/12098
https://doi.org/10.3390/math9172120
_version_ 1789406674625232896
author Valls Martínez, María del Carmen
Martín-Cervantes, Pedro Antonio
Sánchez Pérez, Ana María
Martínez Victoria, María del Carmen
author_facet Valls Martínez, María del Carmen
Martín-Cervantes, Pedro Antonio
Sánchez Pérez, Ana María
Martínez Victoria, María del Carmen
author_sort Valls Martínez, María del Carmen
collection DSpace
description The 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.
format info:eu-repo/semantics/article
id oai:repositorio.ual.es:10835-12098
institution Universidad de Cuenca
language English
publishDate 2021
publisher MDPI
record_format dspace
spelling oai:repositorio.ual.es:10835-120982023-04-12T19:09:51Z Learning Mathematics of Financial Operations during the COVID-19 Era: An Assessment with Partial Least Squares Structural Equation Modeling Valls Martínez, María del Carmen Martín-Cervantes, Pedro Antonio Sánchez Pérez, Ana María Martínez Victoria, María del Carmen video tutorials blended learning online learning financial mathematics COVID-19 autonomy effectiveness PLS-SEM The 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. 2021-09-06T09:57:12Z 2021-09-06T09:57:12Z 2021-09-01 info:eu-repo/semantics/article 2227-7390 http://hdl.handle.net/10835/12098 https://doi.org/10.3390/math9172120 en https://www.mdpi.com/2227-7390/9/17/2120 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess MDPI
spellingShingle video tutorials
blended learning
online learning
financial mathematics
COVID-19
autonomy
effectiveness
PLS-SEM
Valls Martínez, María del Carmen
Martín-Cervantes, Pedro Antonio
Sánchez Pérez, Ana María
Martínez Victoria, María del Carmen
Learning Mathematics of Financial Operations during the COVID-19 Era: An Assessment with Partial Least Squares Structural Equation Modeling
title Learning Mathematics of Financial Operations during the COVID-19 Era: An Assessment with Partial Least Squares Structural Equation Modeling
title_full Learning Mathematics of Financial Operations during the COVID-19 Era: An Assessment with Partial Least Squares Structural Equation Modeling
title_fullStr Learning Mathematics of Financial Operations during the COVID-19 Era: An Assessment with Partial Least Squares Structural Equation Modeling
title_full_unstemmed Learning Mathematics of Financial Operations during the COVID-19 Era: An Assessment with Partial Least Squares Structural Equation Modeling
title_short Learning Mathematics of Financial Operations during the COVID-19 Era: An Assessment with Partial Least Squares Structural Equation Modeling
title_sort learning mathematics of financial operations during the covid-19 era: an assessment with partial least squares structural equation modeling
topic video tutorials
blended learning
online learning
financial mathematics
COVID-19
autonomy
effectiveness
PLS-SEM
url http://hdl.handle.net/10835/12098
https://doi.org/10.3390/math9172120
work_keys_str_mv AT vallsmartinezmariadelcarmen learningmathematicsoffinancialoperationsduringthecovid19eraanassessmentwithpartialleastsquaresstructuralequationmodeling
AT martincervantespedroantonio learningmathematicsoffinancialoperationsduringthecovid19eraanassessmentwithpartialleastsquaresstructuralequationmodeling
AT sanchezperezanamaria learningmathematicsoffinancialoperationsduringthecovid19eraanassessmentwithpartialleastsquaresstructuralequationmodeling
AT martinezvictoriamariadelcarmen learningmathematicsoffinancialoperationsduringthecovid19eraanassessmentwithpartialleastsquaresstructuralequationmodeling