Mejorando la experiencia de aprendizaje en materias de finanzas avanzadasuna aplicación práctica con herramientas de aprendizaje y autoevaluación en un entorno TIC
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Universidade da Coruña
info
ISSN: 2171-892X
Year of publication: 2018
Issue: 26
Type: Article
More publications in: Anales de ASEPUMA
Abstract
The teaching of advanced finance topics in a Master degree is substantially enriched when it is supported by examples of assets or financial operations and students use data provided by entities and institutions such as the Bank of Spain or the Spanish National Securities Market Commission (CNMV). This closeness to reality means using big datasets over several periods of time and making complex calculations. Therefore, classes are developed in rooms equipped with computers and supported by calculation tools. In order to improve the learning experience with these tools, both within and outside classroom, a teaching methodology has been developed to stimulate the students’ autonomous and self-regulated learning. Additionally, this methodology enables students to evaluate themselves and to have greater and better control over their learning process. The feedback received after implementing this methodology showed a positive response from students and motivation towards the procedure and the use of ICTs.
Bibliographic References
- Barak, M. y Levenberg, A. (2016). Flexible thinking in learning: An individual differences measure for learning in technology-enhanced environments. Computers & Education, 99, 39-52
- Calatayud Salom, A. (2007). La evaluación como instrumento de aprendizaje y mejora. Una luz al fondo. En: A. Calatayud (Coord.). La evaluación como instrumento de aprendizaje. Estrategias y técnicas. Madrid. MEC.
- Chu, S.K.W., Zhang, Y., Chen, K., Chan, C.K., Lee, C.W.Y., Zou, E. y Lau, W. (2017). The effectiveness of wikis for project-based learning in different disciplines in higher education. The Internet and Higher Education, 33, 49-60.
- Del Puerto, S. M., Minnaard, C. L., y Seminara, S. A. (2006). Análisis de los errores: una valiosa fuente de información acerca del aprendizaje de las Matemáticas. Revista Iberoamericana de Educación, 38, 1–13.
- Eom, S. B. (2012). Effects of LMS, self‐efficacy, and self‐regulated learning on LMS effectiveness in business education. Journal of International Education in Business, 5(2), 129-144.
- Eom, S.B., Ashill, N. y Wen, H.J. (2006). The determinants of students’ perceived learning outcome and satisfaction in university online education: an empirical investigation. Decision Sciences Journal of Innovative Education, 4(2), 215-36.
- Fernández Díaz, M. J., Carballo Santaolalla, R. y Galán González, A. (2010). Faculty Attitudes and Training Needs to Respond the New European Higher Education Challenges. Higher Education, 60(1), 101–118.
- Freeze, R.D., Alshare, K.A., Lane, P. y Wen, H.J. (2010). Is success model in elearning context based on student perception, Journal of Information Systems Education, 21(2), 173-84.
- Gerhardt, M. G. (2016). The Importance of Being…Social? Instructor Credibility and the Millennial. Studies in Higher Education, 41(9), 1533–47.
- Kramarski B. y Mevarech Z.R. (2003) Enhancing mathematical reasoning in the classroom: effects of cooperative learning and metacognitive training. American Educational Research Journal, 40, 281–310.
- Kramarski, B. y Gutman, M. (2006). How can self‐regulated learning be supported in mathematical E‐learning environments? Journal of Computer Assisted Learning, 22,24–33.
- Lagoa Varela, D., Álvarez García, B., Boedo Vilabella, L. (2016). Recent changes in the role of Spanish lecturers in economics and business: an empirical analysis based on their own perspectives. Studies in Higher Education.
- Mardanov, R.S., Khasanova, A.Y. y Kalganova, G.F. (2016). Psychological problems with learning mathematical disciplines at the economics faculties. doi: 10.1051/shsconf/20162601130
- Mateo, J. y D. Vlachopoulos (2013). Evaluación en la universidad en el contexto de un nuevo paradigma para la educación superior. Educación XX1, 16(2), 183–208.
- Mateo, J., Escofet, A., Martínez, A. & Ventura, J. (2009). Naturaleza del cambio en la concepción pedagógica del proceso de enseñanza-aprendizaje en el marco del EEES. Una experiencia para el análisis. Revista Fuentes, 9, 53-77.
- McDonald, B. y Boud, D. (2003) The Impact of Self-Assessment on Achievement: The Effects of Self-Assessment Training on Performance in External Examinations. Assessment in Education, 10, 209-220.
- Nicol, D. J. y Macfarlane-Dick, D. (2006). Formative assessment and selfregulated learning: a model and seven principles of good feedback practice. Studies in Higher Education, 31(2), 199-218.
- Pintrich, P.R. y De Groot, E. (1990). Motivational and self-regulated learning components of classroom academia performance. Journal of Educational Psychology, 82, 33-40.
- Rodríguez Gómez, G. Ibarra Saiz, M. S. & Ibáñez Cuberi, J. (2018). Competencias básicas relacionadas con la evaluación. Un estudio sobre la percepción de los estudiantes universitarios. Educación XX1, 21(1), 181-207.
- Schank, R. (1997). Virtual learning: a revolutionary approach to building ahighly skilled workforce. New York: McGraw-Hill.
- Schapiro, S.R. y Livingston, J.A. (2000). Dynamic self-regulation: The driving forcé behind academic achievement. Innovative Higher Education, 25(1), 23–35.
- Shen, Y., Nicholson, J. y Nicholson, D. (2015). Using a Group Role-Play Exercise to Engage Students in Learning Business Processes and ERP. Journal of Information Systems Education, 26(4), 265-280.
- Siewiorek, A., Saarinen, E., Lainema, T. y Lehtinen, E. (2012). Learning leadership skills in a simulated business environment. Computers & Education, 58(1), 121-135. Taras, M. (2001). The Use of Tutor Feedback and Student Self assessment in Summative Assessment Tasks: towards transparency for students and for tutors. Assessment & Evaluation in Higher Education, 26(6), 605-614.
- Valentín, A., Mateos, P.M., González-Tablas, M.M., Pérez, L., López, E. y García, I. (2013). Motivation and learning strategies in the use of ICTs among university students. Computers & Education, 61, 52-58.
- Van Seters, J.R., Ossevoort, M.A., Tramper, J., y Goedhart, M.J. (2012). Theinfluence of student characteristics on the use of adaptive e-learning material. Computers & Education, 58(3), 942-952.
- Varela Candamio L., Enriquez-Díaz J., Rouco-Couzo M. (2018). Gamification in Service Learning: an innovative experience. In L. Daniela and M. Lytras. Learning strategies and constructionism in modern education settings''. Hershey: Igi Global.
- Villardón Gallego, M.L. (2006). Evaluación del aprendizaje para promover el desarrollo de competencias. Educatio Siglo XXI, 24, 57-76.
- Zamora, Á., Suárez, J. M., & Ardura, D. (2018). Error detection and self-assessment as mechanisms to promote self-regulation of learning among secondary education students. The Journal of Educational Research, 111(2), 175-185
- Zimmerman, B.J. (1990). Self-regulated learning and academic achievement: An overview. Educational Psychologist, 25(1), 3-17.
- Zimmerman B.J. (1998). Academic studying and the development of personal skill: a self-regulatory perspective. Educational Psychologist, 33, 73–86.