Determinantes del rendimiento académico del alumnado de una asignatura de Contabilidad: el caso de la USC

  1. Pablo Durán Santomil 1
  2. José Manuel Maside Sanfiz 1
  3. David Rodeiro Pazos 1
  4. Sara Cantorna Agra 1
  1. 1 Universidade de Santiago de Compostela
    info

    Universidade de Santiago de Compostela

    Santiago de Compostela, España

    ROR https://ror.org/030eybx10

Journal:
REDU: Revista de Docencia Universitaria

ISSN: 1696-1412,  1887-4592

Year of publication: 2016

Volume: 14

Issue: 1

Pages: 151-178

Type: Article

DOI: 10.4995/REDU.2016.5803 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

More publications in: REDU: Revista de Docencia Universitaria

Abstract

In this research, in order to contribute to the improvement of the quality of higher education, we have analyzed the effect of several variables have on the academic performance of students. This study used data from a survey conducted on 168 students from „Financial accounting I“ from the second year of the studies in Business Administration of the University of Santiago de Compostela during the 2013-2014 course. Our dependent variable for academic performance is numerical student‘s final grade in the course and the statistical techniques used in this article are multiple linear regression and the analysis of linear correlation coefficients. The results show that the most significant variable is the motivation, there is also a positive relationship based on the number of hours devoted to the study, also women reach higher academic performance than men. Note of access to University, class attendance or the use of the virtual campus, among others, are not related with the academic performance.The main conclusion of the study is that it is essential to achieve greater motivation of students, especially males, so they voluntarily increase the time devoted to study and improve academic performance.

Bibliographic References

  • Agasisti, T. y Murtinu, S. (2016). Grants in Italian university: a look at the heterogeneity of their impact on students’ performances, Studies in Higher Education, 41(6), 1106-1132. http://dx.doi.org/10.1080/03075079.2014.966670
  • Alon, S. (2007). The influence of financial aid in leveling group differences in graduating from elite institutions. Economics of Education Review, 26(3), 296–311. http://dx.doi.org/10.1016/j.econedurev.2006.01.003
  • Arthur, N. y Everaert, P. (2012). Gender and Performance in Accounting Examinations: Exploring the Impact of Examination Format, Accounting Education: An International Journal, 21(5), 471-487. http://dx.doi.org/10.1080/09639284.201 1.650447
  • Arulampalam, W., Naylor, R. y Smith, J. (2012). Am I Missing Something? The Effects of Absence from Class on Student Performance, Economics of Education Review, 31(4), 363–375. http://dx.doi.org/10.1016/j.econedurev.2011.12.002
  • Atieh, S. H. (1997).Student perceptions of the causes of low performance in principles of accounting: A case study in Saudi Arabia, Journal of King Fahd University: Economics & Administration, 10, 35-50. http://dx.doi.org/10.4197/eco.10-1.2
  • Auyeung, P. K. y Sands, D.F. (1994). Predicting success in first-year university accounting using gender-based learning analysis, Accounting Education, 3(3), 259-272. http://dx.doi.org/10.1080/09639289400000024
  • Bhattacharjee, S. y Shaw, L. (2001). Evidence that independent research projects improve accounting students’ technology-related perceptions and skills, Accounting Education, 10(1), 83-103. http://dx.doi.org/10.1080/09639280110058909
  • Boyle, T., Bradley, C., Chalk, P., Jones, R. y Pickard, P. (2003). Using blended learning to improve student success rates in learning to program, Journal of Educational Media, 28(2–3), 165–178. http://dx.doi.org/10.1080/1358165032000153160
  • Canton, E. y Blom, A. (2010). Student support and academic performance: experiences at private universities in Mexico, Education Economics, 18(1), 49-65. http://dx.doi. org/10.1080/09645290801931766
  • Carpenter, V., Friar, S. y Lyle, M. (1993). Evidence on the performance of accounting students: race, gender and effort and achievement for accounting students”, Journal of Accounting Education, 28, 1-12.
  • Delaney, L., Harmon, C. y Ryan, M. (2011). Does Lecture Attendance Matter for Grades? Evidence from Longitudinal Tracking of Irish Students, Working paper in Annual Conference of the Irish Economics Association: Limerick, 2011.
  • Delgado, A. M., Borge, R., García, J., Oliver, R. y Salomón, L. (2005). Competencias y diseño de la evaluación continua y final en el Espacio Europeo de Educación Superior. Programa de Estudios y Análisis (Ref. EA2005-0054). Dirección General de Universidades, Madrid.
  • Díaz, M., Peio, A., Arias, J., Escudero, T., Rodríguez, S. y Vidal, G. J. (2002). Evaluación del Rendimiento Académico en la Enseñanza Superior. Comparación de resultados entre alumnos procedentes de la LOGSE y del COU, Revista de Investigación Educativa, 2(20), 357-383.
  • Díaz, P., Miranda, J.A., Montaño, B., Ruiz, M.F. y Sáez, M.Á. (2013). Determinantes del rendimiento académico en el grado en ADE. La opinión de los alumnos, en M.T. Tortosa et al. (coord.), XI Jornadas de Redes de Investigación en Docencia Universitaria: Retos de futuro en la enseñanza superior: docencia e investigación para alcanzar la excelencia Alicante: Universidad de Alicante, 14-28.
  • Durden, G. C. y Ellis, L. V. (1995). The effect of attendance on student learning in Principles of Economics, American Economic Review, 85, 343-346.
  • Elliot, A. J., McGregor, H. A y Gable, S. (1999). Achievement goals, study strategies, and exam performance. A mediational analysis, Journal of Educational Psychology, 91, 549–63. http://dx.doi.org/10.1037/0022-0663.91.3.549
  • Fenollar, P., Roman, S. y Cuestas, P. J. (2007). University students’ academic performance. An integrative conceptual framework and empirical analysis, British Journal of Educational Psychology, 77, 873–91. http://dx.doi. org/10.1348/000709907X189118
  • Florido de la Nuez, C., Jiménez González, J. L. y Santana Martín, I. (2011). Obstáculos en el camino hacia Bolonia. Efectos de la implantación del EEES sobre los resultados académicos, Revista de Educación, 354, 629-656.
  • Fogarty, T. J. y Goldwater, P. M. (2010). Beyond just desserts: the gendered nature of the connection between effort and achievement for accounting students, Journal of Accounting Education, 28(1), 1-12. http://dx.doi.org/10.1016/j. jaccedu.2010.09.001
  • Gammie, E., Paver, B., Gammie, B. y Duncan, F. (2003). Gender differences in accounting education: an undergraduate exploration, Accounting Education; an international journal, 12(2), 177-196.
  • Gandía, J. L. y Montagud, M. D (2011). Innovación docente y resultados del aprendizaje: un estudio empírico en la enseñanza de la contabilidad de costes, Revista Española de Financiación y Contabilidad, 40(152), 677-698. http://dx.doi.org/10 .1080/02102412.2011.10779716
  • Garbanzo Vargas, G. M. (2007). Factores asociados al rendimiento académico en estudiantes universitarios, una reflexión desde la calidad de la educación superior pública, Educación, 31(1), 43-63. http://dx.doi.org/10.15517/revedu.v31i1.1252
  • García, L. (1989). Factores que inciden en el rendimiento académico de los alumnos de la Universidad Nacional de Educación a Distancia (UNED) Española, Revista de Tecnología Educativa, 11(1), 69-95.
  • George, D., Dixon, S., Stansal, E., Lund Gelb, S. y Pheri, T. (2008). Time diary and questionnaire assessment of factors associated with academic and personal success among university undergraduates, Journal of American College Health, 56(6), 706–15. http://dx.doi.org/10.3200/JACH.56.6.706-715
  • Girón, L. y González, D. (2005). Determinantes del rendimiento académico y la deserción estudiantil, en el programa de economía de la Pontificia Universidad Javeriana de Cali, Revista Economía, Gestión y Desarrollo, 3, 173-201.
  • González, M., Álvarez, P., Cabrera, L. y Bethencourt, J. T. (2007). El abandono de los estudios universitarios: factores determinantes y medidas preventivas, Revista Española de Pedagogía, 65(236), 71-86.
  • Gracia, L. y Jenkins, E. (2003). A quantitative exploration of student performance on a undergraduate accounting programme of study, Accounting education, 12(1), 1532. http://dx.doi.org/10.1080/0963928032000049375
  • Guney, Y. (2009). Exogenous and endogenous factor influencing students’ performance in undergraduate accounting modules, Accounting Education: an International Journal, 18(1), 51-73. http://dx.doi.org/10.1080/09639280701740142
  • Hanks, G. y Shivaswamy, M. (1985). Academic performance in accounting: is there a gender gap?, Journal of Business Education, 60(4), 154–156. http://dx.doi.org/1 0.1080/00219444.1985.10534962
  • Hartnett, N., Römcke, J. y Yap, C. (2004). Student performance in tertiary-level accounting: an international student focus, Accounting and Finance, 44(2), 163-185. http://dx.doi.org/10.1111/j.1467-629X.2004.00104.x
  • Hatt, S., Hanna, A., Baxter, A. y Harrison, N. (2005). Opportunity Knocks? The Impact of Bursary Schemes on Students from Low-Income Backgrounds, Studies in Higher Education, 30(4), 373–88. http://dx.doi.org/10.1080/03075070500160038
  • Koh, M. Y. y Koh H. C. (1999). The determinants of performance in an accountancy degree programme, Accounting Education, 8(1), 13–2. http://dx.doi. org/10.1080/096392899331017
  • Krieg, R. y Uyar, B. (1997). Correlates of student performance in business and economics statistics, Journal of Economic and Finance, 21(3), 65-74. http://dx.doi. org/10.1007/BF02929040
  • Kuh, G. D., Cruce, T. M., Shoup, R., Kinzie, J. y Gonyea, R. M. (2008). Unmasking the effects of student engagement on first-year college grades and persistence, Journal of Higher Education, 79(5), 540–63. http://dx.doi.org/10.1353/jhe.0.0019
  • Lim, D. H. y Morris, M. L. (2009). Learner and instructional factors influencing learning outcomes within a blended learning environment, Educational Technology & Society, 12(4), 282–293.
  • López-Pérez, M.V., Pérez-López, M.C. y Rodríguez-Ariza, L. (2011). Blended learning in higher education: Students’ perceptions and their relation to outcomes, Computers & Education, 56(3), 818-826. http://dx.doi.org/10.1016/j.compedu.2010.10.023
  • Lundberg, C. (2003). The influence of time-limitations, faculty and peer relationships on adult student learning: a causal model, The Journal of Higher Education, 74(6), 665-688. http://dx.doi.org/10.1353/jhe.2003.0045
  • McVay, G. J., Murphy, P. R. y Yoon, S. W. (2008). Good practices in accounting education: Classroom configuration and technological tools for enhancing the learning environment, Accounting Education, 17(1), 41–63. http://dx.doi. org/10.1080/09639280600843369
  • Medina, R. (2005). Misiones y funciones de la universidad en el espacio europeo de educación superior, Revista Española de Pedagogía, 230, 17-42.
  • O’Toole, J. M. y Absalom, D. J. (2003). The impact of blended learning on student outcomes: is there room on the horse for two?, Journal of Educational Media, 28(2–3), 179–190. http://dx.doi.org/10.1080/1358165032000165680
  • Perera, L. y Richardson, P. (2010). Students’ Use of Online Academic Resources within a Course Web Site and Its Relationship with Their Course Performance: An Exploratory Study, Accounting Education: An International Journal, 19(6), 587600. http://dx.doi.org/10.1080/09639284.2010.529639
  • Pérez, A., Ramón, J. y Sánchez, J. (2000). Análisis exploratorio de las variables que condicionan el rendimiento académico. Sevilla, España: Universidad Pablo de Olavide.
  • Potter, B. N. y Johnston, C. G. (2006). The effect of interactive on-line learning systems on student learning outcomes in accounting, Journal of Accounting Education, 24(1), 16–34. http://dx.doi.org/10.1016/j.jaccedu.2006.04.003
  • Rau, W. y Durand, A. (2000). The academic ethic and college grades: Does hard work help students to ‘make the grade’?, Sociology of Education, 73, 19–38. http://dx.doi. org/10.2307/2673197
  • Rodríguez, S., Fita, S. y Torrado, M. (2004). El rendimiento académico en la transición secundaria-universidad, Revista de Educación, 334, 391-414.
  • Salonava, M., Martínez, I. M., Bresó, E. E., Llorens, S. y Gumbau, R. (2005). Bienestar Psicológico en estudiantes universitarios: facilitadores y obstaculizadores del desempeño académico, Anales de Psicología, 1(21), 170-180.
  • Stinebrickner, R. y Stinebrickner, T. (2004). Time-use and college outcomes, Journal of Econometrics, 121(1-2), 243–69. http://dx.doi.org/10.1016/j. jeconom.2003.10.013
  • Tejedor, F. J. (2003). Poder explicativo de algunos determinantes del rendimiento en los estudios universitarios, Revista española de Pedagogía, 224, 5-32.
  • Tejedor, F. J. y García-Valcárcel, A. (2007). Causas del bajo rendimiento del estudiante universitario (en opinión de profesores y alumnos). Propuestas de mejora en el marco del EEES, Revista de Educación, 342, 443-473.
  • Tickell, G. A. y Smyrnios K. X. (2005). Predictors of tertiary accounting students’ academic performance: A comparison of Year 12-to-university students with TAFE-touniversity students, Journal of Higher Education Policy & Management, 27(2), 239-259. http://dx.doi.org/10.1080/13600800500120142
  • Torenbeek, M., Jansen, E. y Hofman, A. (2010). The effect of the fit between secondary and university education on first-year student achievement, Studies in Higher Education, 35(6), 659–675. http://dx.doi.org/10.1080/03075070903222625
  • Tyson, T. (1989). Grade Performance in Introductory Accounting Courses: Why Female Students Outperform Males, Issues in Accounting Education, 4(1), 153-160
  • Wallace, P. y Clarina, R. B. (2005). Perception versus reality: Determining business students’ computer literacy skills and need for instruction in information concepts and technology, Journal of Information Technology Education, 4, 141-151.
  • Wells, P., Fieger, P. y De Lange, P. (2008). Integrating a virtual learning environment into a second year accounting course: Determinants of overall student perception, Accounting & Finance, 48(3), 503–518. http://dx.doi.org/10.1111/j.1467629X.2007.00249.x
  • Wooten, T. (1998). “Factors Influencing Student Learning in Introductory Accounting Classes: A Comparison of Traditional and Nontraditional Students”, Issues in Accounting Education, 13, 357-373.
Data source: Dialnet