Can we improve academic performance and student satisfaction without additional time cost for teachers? Evidence from a blended methodology in Microeconomics

  1. Erdmann, Anett 1
  2. Torres Marín, Alfonso Jesús 1
  1. 1 ESIC Business and Marketing School
Aldizkaria:
Multidisciplinary Journal for Education, Social and Technological Sciences

ISSN: 2341-2593

Argitalpen urtea: 2019

Alea: 6

Zenbakia: 2

Orrialdeak: 54-91

Mota: Artikulua

DOI: 10.4995/MUSE.2019.11869 DIALNET GOOGLE SCHOLAR lock_openSarbide irekia editor

Beste argitalpen batzuk: Multidisciplinary Journal for Education, Social and Technological Sciences

Laburpena

Purpose: The main goal of this paper is to determine if the use of a blended methodology can improve performance and satisfaction of the students, with no additional time cost for teachers. As a second objective, the article attempts to explain observed differences across students in the effect of the methodology on study time based on the theory of optimal decision making. Finally, we sketch a simple cost benefit analysis for the digital learning platform (DLP) used.Design: The teachers combined the traditional classes methodology with the adoption of a DLP in two courses of Microeconomics at an undergraduate level at ESIC Business & Marketing School. Subsequently it is analyzed the impact of this methodology on student satisfaction and performance, as well as on student’s study time using different analytical tools.Findings:  students’ grades, at the final exam, increased in a significative way as they spent more time with the DLP and/or when they do more digital assignments at home. Their satisfaction with the blended methodology, and the use of the DLP was quite high for most of students. Their feedback on working time relative to traditional methods showed two extremes, either studying much more or much less. We provide a theoretical explanation for this observation, based on Microeconomic theory.  A cost-benefit analysis of the DLP tool at an institutional level suggests that its economic costs are more than justified by the economic benefits of the tool in terms of student’s satisfaction, brand reputation and teachers time saving.Contribution: This document provides a methodology to measure the benefits of an innovative learning methodology using relevant indicators and employing advanced statistical techniques as regression analysis. It also helps us to understand student’s behavior in the face of an educational innovation based on technology. The findings are in line with economic theory.

Erreferentzia bibliografikoak

  • Aguirre, A.C., Quintana H.P. & Miranda, R.T. (2015). Aplicación de las TIC en la educación superior como estrategia innovadora para el desarrollo de competencias digitales. Campus Virtuales, 3 (1), 88-101.
  • Ahmed, N., Ballard, A., Ohkubo, S., & Limaye, R. (2017). Global Health eLearning: Examining the effects of blended learning models on knowledge application and retention.
  • Alonso, L. E., Fernández, C. J., & Nyssen, J. M. (2009). El debate sobre las competencias. Una investigación cualitativa en torno a la educación superior y el mercado de trabajo en España. Madrid: ANECA.
  • Beard, L. H. (2017). 'Incentivised reading'-Using an online VLE to measure engagement and attainment in student learning. International Journal for Innovation Education and Research, 5(11), 74-86.
  • https://doi.org/10.21125/edulearn.2017.0006
  • Becker, W. E., & Greene, W. H. (2001). Teaching statistics and econometrics to undergraduates. Journal of Economic Perspectives, 15(4), 169-182.
  • https://doi.org/10.1257/jep.15.4.169
  • Bonk, C. J., & Graham, C. R. (2012). The handbook of blended learning: Global perspectives, local designs. John Wiley & Sons.
  • Bravo, L. E. C., Guerrero, K. G., & López, H. J. F. (2011). Uso de las TIC y especialmente del blended learning en la enseñanza universitaria. Revista Educación y desarrollo social, 5(1), 151-160.
  • Brown, M. G. (2016). Blended instructional practice: A review of the empirical literature on instructors' adoption and use of online tools in face-to-face teaching. The Internet and Higher Education, 31, 1-10.
  • https://doi.org/10.1016/j.iheduc.2016.05.001
  • Castro-Rodriguez, M., De Castro Calvo, A., & Hernandez Rivero, V. M. (2017). Analysis of Spanish commercial digital educational platforms for Primary Education. Revista Latinoamericana de Tecnologia Educativa-RELATEC, 16(2), 49-62.
  • Efimchik, E. A., Ivaniushin, D. A., Kopylov, D. S., & Lyamin, A. V. (2017). A Technique for Applying RLCP-Compatible Labs on Open edX Platform. In E-Learning, E-Education, and Online Training (pp. 12-18). Springer, Cham.
  • https://doi.org/10.1007/978-3-319-49625-2_2
  • Ericsson, K. A. (2002). Attaining excellence through deliberate practice: Insights from the study of expert performance.
  • Fernández March, A. (2005). Nuevas metodologías docentes. Valencia: Universidad Politécnica de Valencia, Valencia.
  • Gortner Lahmers, A., & Zulauf, C. R. (2000). Factors associated with academic time use and academic performance of college students: A recursive approach. Journal of College Student Development, 41, 544-556
  • Hattinger, M., Engeström, Y., & Sannino, A. (2018). From contradictions to transformation: a study of joint Work-Integrated Elearning between Industry and University. Journal of Engineering Education.
  • Hinerasky, C., Fahr, R., & Sliwka, D. (2017). Learning outcomes, feedback, and the performance effects of a training program. Universitätsbibliothek.
  • Lisitsyna, L. S., Efimchik, E. A., & Izgareva, S. A. (2017, June). RLCP-compatible Virtual Laboratories with 3d-models and Demonstration Mode: Development and Application in e-learning. In International Conference on Smart Education and Smart E-Learning (pp. 75-81). Springer, Cham. https://doi.org/10.1007/978-3-319-59451-4_8
  • Liu, Y., & Xie, T. (2019). Machine learning versus econometrics: prediction of box office. Applied Economics Letters, 26(2), 124-130. https://doi.org/10.1080/13504851.2018.1441499
  • Medina, J. M. C., Medina, I. I. S., & Rojas, F. R. (2016). Uso de objetos virtuales de aprendizaje ovas como estrategia de enseñanza-aprendizaje inclusivo y complementario a los cursos teóricos-prácticos. Revista educación en ingeniería, 11(22), 4-12.
  • Miríadax (2018, 3 de mayo). Nuestros números. Recuperado de https://miriadax.net/web/guest/nuestros-numeros
  • Moodle.org. (2018, 3 de mayo). Course and content. Recuperado de https://moodle.net/stats/
  • Mosbeck, M., Markum, G., Platschek, A. & Jantsch, A. (2018). E-Learning System for Automatic Generation and Evaluation of Per-Student Customized Tasks for Hardware Modeling Courses, World Academy of Science, Engineering and Technology, International Jour. https://doi.org/10.1109/NORCHIP.2018.8573455
  • Sangrá, L. M. (2016). La nueva brecha digital. El futuro de las nuevas tecnologías en Primaria desde la formación del profesorado. Revista electrónica interuniversitaria de formación del profesorado, 19(2), 301-313.
  • Pérez, P., Urbano, J. & Onías, A. (2017). Los recursos didácticos digitales en la calidad del aprendizaje significativo en el área de matemáticas, (Bachelor's thesis, Universidad de Guayaquil).
  • Plant, E. A., Ericsson, K. A., Hill, L., & Asberg, K. (2005). Why study time does not predict grade point average across college students: Implications of deliberate practice for academic performance. Contemporary Educational Psychology, 30(1), 96-116. https://doi.org/10.1016/j.cedpsych.2004.06.001
  • Rodríguez Miranda, F. D. P. (2009). Los coordinadores y coordinadoras de Centros TIC: su importancia como asesores internos para la calidad y el desarrollo del currículo en la Educación Primaria de Andalucía.
  • The Core Team (2017). The Economy: Economics for a changing world. Oxford University Press. Recuperado de http://www.core-econ.org/the-economy/index.html
  • Tornero J.M. & Pi, M. (2013). La integración de las TIC y los libros digitales en la educación. España: Grupo Planeta.
  • Torres, A.T., Gonzalez E. y Bordonado, J. (2018, 2-4, July). Using a digital interactive labs educator tool to improve the scoring and learnig results of marketing students of econometric in ESIC Business & Marketing School. 10th International Conference on Education and New Learning Technologies. Palma Spain. ISBN: 978-84-09-02709-5. Doi: 10.21125.