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Artículos

Vol. 19 No. 3 (2016): Noviembre

MATH-ELEARNING@CAT: KEY FACTORS IN YHE USE OF INFORMATION TECHNOLOGIES IN SECONDARY MATHEMATICAL EDUCATION

DOI
https://doi.org/10.12802/relime.13.1932
Submitted
June 29, 2023
Published
2023-07-04

Abstract

This article presents the main results obtained during the development of the research project Math-Elearning@cat, contextualized in secondary education. The main purpose of this research is to identify those factors which in the opinion of teachers are more relevant when it comes to mainstream Information Technologies and Communication Technologies (ICT) in mathematical subjects. This is a hybrid study, and it is based on a survey of mathematics teachers in secondary education in Catalonia (Spain). To analyze the data obtained, we used factor analysis techniques. The analysis shows that there are four factors involved in a relevant way of ICT use in mathematics classrooms. Another result of the study is the finding that teachers have, in general, a positive predisposition to the use of ICT in their teaching, although this theoretical predisposition does not seem to correspond to actual use.

References

  1. Aguaded, J. I. & Fandos, M. (2009). Las plataformas educativas en el e-learning en la educación secundaria: análisis de la plataforma Educans. Revista Iberoamericana de Educación a Distancia,12(1), 125-168.
  2. Arranz, J. M., Losada, R., Mora, J. A., Recio, T., & Sada, M. (2011). Modeling the cube using GeoGebra. In L. Bu & R. Schoen (Eds.), Model-Centered Learning: Pathways to mathematical understanding using GeoGebra (pp. 119-131). Rotterdam, Netherlands: Sense Publishers.
  3. Baki, A. & Çakiroglu, Ü. (2010). Learning objects in high school mathematics classrooms: Implementation and evaluation. Computers & Education, 55(4), 1459-1469. doi:10.1016/j.compedu.2010.06.009
  4. Barkatsas, A., Kasimatis, K., & Gialamas, V. (2009). Learning secondary mathematics with technology: Exploring the complex interrelationship between students’ attitudes, engagement, gender and achievement. Computers & Education, 52 (3), 562-570. doi:10.1016/
  5. j.compedu.2008.11.001
  6. Bishop, P., Beilby, M., & Bowman, A. (1992). Computer-based learning in mathematics and statistics. Computers & Education, 19(1-2), 131-143. doi:10.1016/0360-1315(92)90019-2
  7. Brom, C., Sisler, V., & Slavik, R. (2009). Implementing digital game-based learning in schools: augmented learning environment of ‘Europe 2045’. Multimedia Systems, 16 (1), 23-41. doi: 10.1007/s00530-009-0174-0
  8. Campo-Arias, A., Díaz-Martínez, L., Rueda-Jaimes, G., Martínez-Mantilla, J., Amaya-Naranjo, W. & Campillo, H. (2006). Consistencia interna y análisis factorial del cuestionario SCOFF para tamizaje de trastorno de conducta alimentaria en adolescentes estudiantes: una comparación
  9. por género. Universitas Psychologica, 5(2), 295-304.
  10. Castillo, S. (2008). Propuesta pedagógica basada en el constructivismo para el uso óptimo de las TIC en la enseñanza y el aprendizaje de la matemática. Revista Latinoamericana de Investigación en Matemática Educativa, 11(2), 171-194.
  11. Cea, M. A. (2004). Análisis multivariable. Teoría y práctica en la investigación social (2da. ed.). Madrid, España: Síntesis.
  12. Cobo, P. & Fortuny, J. M. (2005). El sistema tutorial AgentGeom y su contribución a la mejora de las competencias de los alumnos en la resolución de problemas de matemáticas. En A. Alexander, B. Gómez y M. Torralbo, (Eds.), Noveno Simposio de la Sociedad Española de Educación Matemática SEIEM (pp. 55-70). Córdoba, España: Sociedad Española de Investigación en Educación Matemática.
  13. Cobo, P., Fortuny, J. M., Puertas, E., & Richard, P. (2007) AgentGeom: a multiagent system for pedagogical support in geometric proof problems. International Journal of Computers for Mathematical Learning, 12(1), 57-79. doi: 10.1007/s10758-007-9111-5
  14. Chang, L. Ch. & Lee, G. C. (2010). A team teaching model for practicing project-based learning in high school: Collaboration between computer and subject teachers. Computers & Education, 55(3), 961-969. doi:10.1016/j.compedu.2010.04.007
  15. Evoh, C. J. (2007). Collaborative Partnerships and the Transformation of Secondary Education through ICTs in South Africa. Educational Media International, 44(2), 81-98. doi:10.1080/09523980701295091
  16. González, J., Cobo, E., Martí, M. & Muñoz, P. (2006). Desarrollo y aplicación de nuevas tecnologías para la formación universitaria. Teoría de la Educación, Educación y Cultura en la Sociedad de la Información, 7(1). Obtenido de http://campus.usal.es/~teoriaeducacion/rev_numero_07/
  17. n7_art_gonzalez_cobo_marti_munoz.htm.
  18. Grande, I. & Abascal, E. (2005). Análisis de encuestas. Madrid, España: ESIC. Granic, A., Misfud, C., & Cukusic, M. (2009). Design, implementation and validation of a Europe- wide pedagogical framework for e-Learning. Computers & Education, 53(4), 1052-1081.
  19. doi:10.1016/j.compedu.2009.05.018
  20. Gras- Martí, A. & Cano, M. (2005). Debates y tutorías como herramientas de aprendizaje para alumnos de ciencias: análisis de la integración curricular de recursos del campus virtual. Enseñanza de las Ciencias, 23(2), 167-180.
  21. Hair, J., Anderson, R., Tatham, R. & Black, W. (2008). Análisis multivariante (5ta. ed.). Madrid, España: Pearson/ Prentice Hall.
  22. Harman, H. (1976). Modern Factor Analysis. Chicago, U.S.A.: The University of Chicago Press.
  23. Hohenwarter, J., Hohenwarter, M., & Lavicza, Z. (2009). Introducing Dynamic Mathematics Software to Secondary School Teachers: The Case of Geogebra. Journal of Computers in Mathematics and Science Teaching, 28(2), 135-146.
  24. Hoyles, C., Sutherland, R., & Evans, J. (1986). Using logo in the mathematics classroom. What are the implications of pupil devised goals? Computers & Education, 10(1), 61-71. doi:10.1016/0360-1315(86)90053-9
  25. Howe, J. A. M., Ross, P. M., Johnson, K. R., Plane, F., & Inglis, R. (1982) Teaching mathematics through programming in the classroom. Computers & Education, 6, 85-91. doi:10.1016/0360-1315(82)90016-1
  26. Journell, W. (2010). Perceptions of e-learning in secondary education: a viable alternative to classroom instruction or a way to bypass engaged learning? Educational Media International, 47(1), 69-81.
  27. Juan, A. A., Huertas, M. A., Cuypers, H., & Loch, B. (Eds.) (2012). Mathematical E-Learning. Revista de Universidad y Sociedad del Conocimiento, 9(1), 1-3.
  28. Juan, A. A., Huertas, M. A., Steegmann, C., Corcoles, C., & Serrat, C. (2008). Mathematical E-Learning: state of the art and experiences at the Open University of Catalonia. International Journal of Mathematical Education in Science and Technology, 39(4), 455-471. doi: 10.1080/
  29. Juan, A. A., Huertas, M. A., Treholm, S., & Steegman, C. (2011). Teaching Mathematics Online: Emergent Technologies and Methodologies. Hershey, U.S.A.: IGI Global.
  30. Juan A. A., Steegmann, C., Huertas, A, Martinez, M. J., & Simosa, J. (2011). Teaching mathematics online in the European Area of Higher Education: an instructor’s point of view. International Journal of Mathematics Education in Science and Technology, 42(2), 141-153. doi: 10.1080/0020739X.2010.526254
  31. Nikolova, N., Georgiev, A., & Gachev, G. (2008). The challenges in the secondary school e-learning process. In D. Remenyi (Ed.), Proceedings of the 7th European Conference on e-learning ECEL (Vol. 2, pp. 205-213). Agia Napa, Cyprus, Greece: University of Cyprus.
  32. Oldknow,A., Taylor, R., & Tetlow, L. (2010). Teaching Mathematics using ICT (3 rd ed.). London, United Kindom: Continuum International Publishing Group.
  33. Peña, D. (2002). Análisis de datos multivariantes. Madrid, España: McGraw-Hill.
  34. Santos, J., Muñoz, A., Juez, P., & Guzmán, L. (1999). Diseño y tratamiento estadístico de encuestas para estudios de mercado. Madrid, España: Centro de estudios Ramón Areces.
  35. Sharim, K. & Khlaif, Z. (2010). An e-learning approach to secondary education in Palestine: opportunities and challenges. Information Technology for Development, 16(3), 159-173. doi: 10.1080/02681102.2010.501782
  36. Visauta, B. & Martori, J. (2003). Análisis estadístico con SPSS para Windows (2ª ed.). Madrid, España: McGraw-Hill.

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