Abstract
This chapter focuses on ways of networking different methodologies used in empirical research in the field of affect. It also aims to develop a specific language and a conceptual framework for the networking of these methodologies. Two situations are presented to exemplify the extent to which two methods can be integrated without losing their characteristic features. The first example regards a case in which two methodologies, with strong commonalities between them, can be synthesized. The result of the synthesis is a new methodology for the examination of the interplay between cognitive-related and emotional/motivational-related variables impacting the outcome of an assessment test. The second example, conversely, presents two methodologies that have much less overlap, yet the commonality of language and shared experiences still allows us to compare them, although at a lesser extent of integration.
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References
Andrà, C., & Magnano, G. (2012). Understanding undergraduate mathematics students’ career: Insights on an innovative quantitative methodology. Nordic Studies in Mathematics Education, 17(3–4), 75–90.
Andrà, C., Magnano, G., & Morselli, F. (2012). Dropout undergraduate students in mathematics: an exploratory study. In Current state of research on mathematical beliefs XVII. Proceedings of the MAVI-17 conference, September 17–20, 2011 (pp. 13–22). Ruhr-Universitat Bochum, Germany.
Andrà, C., Magnano, G., & Morselli, F. (2013). Undergraduate mathematics students’ career as a decision tree. In Proceedings of the 18th mathematical views international conference, 12–17 September 2012, University of Helsinki, Helsinki, Finland.
Baker, F. (1992). Item response theory: Parameter estimation techniques. New York: Marcel Dekker.
Bruner, J. (2004). Life as narrative. Social Research, 71(3), 691–710.
Di Martino, P., & Zan, R. (2011). Attitude towards mathematics: A bridge between beliefs and emotions. ZDM – The International Journal on Mathematics Education, 43, 471–483.
Furinghetti, F., & Pehkonen, E. (2002). Rethinking characterisations of beliefs. In G. Leder, E. Pehkonen, & G. Törner (Eds.), Beliefs: A hidden variable in mathematics education? (pp. 39–57). Dordrecht: Kluwer.
Gòmez-Chacòn, I., Garcìa Madruga, J. A., Rodrìguez, R., Vila J. O., & Elosùa, R. (2012). Mathematical beliefs and cognitive reflection: Do they predict academic achievement? In B. Roesken & M. Casper (Eds.), Current state of research on mathematical beliefs XVII. Proceedings of the MAVI-17 Conference, September 17–20, 2011 (pp. 64–73). Ruhr-Universität Bochum, Germany.
Griese, B., Glasmachers, E., Harterich, J., Kallweit, M., & Roesken, B. (2012). Engineering students and their learning of mathematics. In B. Roesken & M. Casper (Eds.), Current state of research on mathematical beliefs XVII. Proceedings of the MAVI-17 conference, September 17–20, 2011 (pp. 85–96). Ruhr-Universität Bochum, Germany.
Hannula, M. S. (2011, February 9–13). The structure and dynamics of affect in mathematical thinking and learning. In M. Pytlak, E. Swoboda, & T. Rowland (Eds.), Proceedings of the CERME7, Reszow, Poland (pp. 34–60). University of Reszow, Poland: CERME.
Leder, G. C., & Forgasz, H. (2002). Measuring mathematical beliefs and their impact on the learning of mathematics: A new approach. In G. C. Leder, E. Pehkonen, & G. Törner (Eds.), Beliefs: A hidden variable in mathematics education? (pp. 95–113). Dordrecht: Kluwer.
Prediger, S., Bikner-Ahsbahs, A., & Arzarello, F. (2008). How can networking strategies for connecting theoretical approaches help to develop theories in mathematics education? ZDM – The International Journal on Mathematics Education, 40(2), 165–178.
Radford, L. (2008). Connecting theories in mathematics education: Challenges and possibilities. ZDM – The International Journal on Mathematics Education, 40(2), 317–327.
Roth, W.-M., & Radford, L. (2011). A cultural historical perspective on teaching and learning. Rotterdam: Sense.
Rylands, L., & Coady, C. (2009). Performance of students with weak mathematics in first-year mathematics and science. International Journal of Mathematical Education in Science and Technology, 40(6), 741–753.
Savickas, M., Nota, L., Rossier, J., Dauwalder, J. P., Duarte, M. E., Guichard, J., Soresi, S., van Esbroeck, R., & van Vianen, A. E. M. (2009). Life designing: A paradigm for career construction in the 21st century. Journal of Vocational Behavior, 75(3), 239–250.
Schoenfeld, A. H. (2007). Method. In J. Frank & K. Lester (Eds.), Second handbook of research on mathematics teaching and learning (Vol. 1, pp. 69–107). Charlotte: Information Age.
Soresi, S., & Nota, L. (2007). Le capacità di studio [Abilities to study]. Giornate di studio AIP Sezione di Psicologia dello Sviluppo e dell’Educazione, Verona, settembre 2007.
Zimmerman, B. J., & Kitsantas, A. (2005). Students’ perceived responsibility and completion of homework: The role of self-regulatory beliefs and processes. Contemporary Educational Psychology, 30, 397–417.
Acknowledgements
The research presented in this chapter is part of a research project on undergraduate students’ career at the Department of Mathematics at the University of Torino, coordinated by Prof. Guido Magnano. I further wish to thank Francesca Morselli, Lionel LaCroix, Giorgio Santi, Dina Tirosh and Peter Liljedahl for their insightful comments about the chapter, which helped improve its quality. I would also like to thank the anonymous reviewers and the editors of the book for their precious feedback.
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Andrà, C. (2015). A Specific Language Towards a New Conceptual Framework for Networking Methodologies in the Field of Affect. In: Pepin, B., Roesken-Winter, B. (eds) From beliefs to dynamic affect systems in mathematics education. Advances in Mathematics Education. Springer, Cham. https://doi.org/10.1007/978-3-319-06808-4_17
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