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...
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Format: | info:eu-repo/semantics/article |
Language: | English |
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MDPI
2021
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Subjects: | |
Online Access: | http://hdl.handle.net/10835/12098 https://doi.org/10.3390/math9172120 |
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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 |
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