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

Author

Listed:
  • María del Carmen Valls Martínez

    (Department of Economics and Business, University of Almería, 04120 Almeria, Spain)

  • Pedro Antonio Martín-Cervantes

    (Department of Economics and Business, University of Almería, 04120 Almeria, Spain)

  • Ana María Sánchez Pérez

    (Department of Economics and Business, University of Almería, 04120 Almeria, Spain)

  • María del Carmen Martínez Victoria

    (Department of Economics and Business, University of Almería, 04120 Almeria, Spain)

Abstract

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.

Suggested Citation

  • María del Carmen Valls Martínez & Pedro Antonio Martín-Cervantes & Ana María Sánchez Pérez & María del Carmen Martínez Victoria, 2021. "Learning Mathematics of Financial Operations during the COVID-19 Era: An Assessment with Partial Least Squares Structural Equation Modeling," Mathematics, MDPI, vol. 9(17), pages 1-21, September.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:17:p:2120-:d:627269
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    References listed on IDEAS

    as
    1. Necmi K. Avkiran, 2018. "Rise of the Partial Least Squares Structural Equation Modeling: An Application in Banking," International Series in Operations Research & Management Science, in: Necmi K. Avkiran & Christian M. Ringle (ed.), Partial Least Squares Structural Equation Modeling, chapter 0, pages 1-29, Springer.
    2. Carolyn Chisadza & Matthew Clance & Thulani Mthembu & Nicky Nicholls & Eleni Yitbarek, 2021. "Online and face‐to‐face learning: Evidence from students’ performance during the Covid‐19 pandemic," African Development Review, African Development Bank, vol. 33(S1), pages 114-125, April.
    3. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    4. Nitzl, Christian, 2016. "The use of partial least squares structural equation modelling (PLS-SEM) in management accounting research: Directions for future theory development," Journal of Accounting Literature, Elsevier, vol. 37(C), pages 19-35.
    5. Necmi K. Avkiran & Christian M. Ringle (ed.), 2018. "Partial Least Squares Structural Equation Modeling," International Series in Operations Research and Management Science, Springer, number 978-3-319-71691-6, September.
    6. Shmueli, Galit & Ray, Soumya & Velasquez Estrada, Juan Manuel & Chatla, Suneel Babu, 2016. "The elephant in the room: Predictive performance of PLS models," Journal of Business Research, Elsevier, vol. 69(10), pages 4552-4564.
    7. Reinartz, Werner & Haenlein, Michael & Henseler, Jörg, 2009. "An empirical comparison of the efficacy of covariance-based and variance-based SEM," International Journal of Research in Marketing, Elsevier, vol. 26(4), pages 332-344.
    8. Streukens, Sandra & Leroi-Werelds, Sara, 2016. "Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results," European Management Journal, Elsevier, vol. 34(6), pages 618-632.
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