A study on the changes on teachers’ knowledge and beliefs after a workshop based on mathematics education software, by relying on Fuzzy analysis

Referencias

Aghazadeh, M. (2009). New Methods of Teaching. Tehran: Aiizh Publication. Arzarello, F., Olivero, F., Paolo, D., & Robutti, O. (2002). A cognitive analysis of dragging practices in Cabri environments. ZDM, 34(3), 66–72. Baccaglini-Frank, A., & Mariotti, M. A. (2010). Generating conjectures in dynamic geometry: The maintaining dragging model. International Journal of Computers for Mathematical Learning, 15(3), 225–253. Dubinsky, E., & Schwingendorf, K. (2004). Calculus, Concepts, Computers and Cooperative Learning (C4L), The Purdue Calculus Reform Project, 2004. Dubois, D., & Prade, H. (1980). Fuzzy sets and systems: Theory and Applications. Academic Press. Güneş, E., & Bahçivan, E. (2016). A Multiple Case Study of Preservice Science Teachers’ TPACK: Embedded in a Comprehensive Belief System. International Journal Of Environmental & Science Education, 11 (15), 8040-8054. Hardy, B, & Lanan. K. (2006). Domain Specificity of Personal Epistemology: Resolved Questions, Persistent Issues, New Models Psychology Department. International Journal of Educational Research, 45(1-2), 85-95. Healy, L., & Hoyles, C. (2002). Software tools for geometrical problem solving: potential and pitfalls. International Journal of Computers for Mathematical Learning, 6(3), 235–256. Hoang, N. T. (2015). EFL teachers’ perceptions and experiences of blended learning in a Vietnamese university. Professional Doctorate thesis, Queensland University of Technology. Retrieved from http://eprInts.qu t.edu.au/83945/. Hofer, B. K. & Pintrich, P. R. (1997). The Development of Epistemological Theories: Beliefs About Knowledge And Knowing And Their Relation To Learning. Review Of Educational Research, (67), 88-140. Hofer, B. K. (2001). Personal Epistemology Research: Implications for Learning and Teaching. Educational Psychology Review, 13(4), 353-383. Hohenwarter, M. & Preiner, J. (2007). Dynamic mathematics with GeoGebra, Journal of Online Mathematics and its Applications, 7, ID 1448, Karami, M, Karami, Z, Attaran, M. (2012). Developing student-teacher students’ content knowledge and teaching skills through a model of integrating problem-based learning with information and communication technology. Information & Communication Technology in Educational Sciences Quarterly. 2(3), 151-173. McAnear, A. (2009). Effective technology integration. Learning & leading with technology, 36 (7), 5. Martin, M. O., Mullis, I. V. S., Foy, P., Stanco, G. M. (2012). TIMSS 2011 International Results in Science. Chestnut Hill, MA: Lynch School of Education, Boston College. Mishra, P., & Koehler, M. J. (2006). Technological Pedagogical Content Knowledge: A new framework for teacher knowledge. Teachers College Record, 108 (6), 1017-1054. Prusak, N., Hershkowitz, R., & Schwarz, B. B. (2012). From visual reasoning to logical necessity through argumentative design, Educational Studies in Mathematics, 79(1), 19-40. Ruthven, K., & Hennessy, S. (2002). A Practitioner Model of the Use of Computer-Based Toolsand Resources to Support Mathematics Teaching and Learning, Educational Studies in Mathematics, 49(1), 47-88. Shabani, M. (2011). Modern Methods and models of teaching. Tehran: Samt Publication. Smith, R.C., Kim, S., & McIntyre, L. (2016). Relationships Between Prospective Middle Grades Mathematics Teachers’ Beliefs and TPACK. Canadian Journal of Science, Mathematics and Technology Education, 16 (4), 359-373. Wang, T. (2015). Rethinking teaching with information and communication technologies (ICTs) in architectural education. Teaching and Teacher Education, 25 (8), 1132–1140. Zambak, V. (2014). Pre-service mathematics teachers’ knowledge development and belief change within a technology enhanced mathematics course, All Dissertations, Paper 1427. Zimmermann, H.J. (1985). Fuzzy set theory and its applications, Kluwer, Dorecht.