In the last years, research has paid strong attention to pre-service primary teachers’ views of mathematics. Interviews and questionnaires to pre-service teachers during their academic studies are the mainly used tools for collecting data. Qualitative and quantitative approaches may give different insights. In this paper, after a review of the different methods used in the literature to face the topic of pre-service primary teachers’ views of mathematics, we propose a new method. A clustering technique is applied to data collected with multiple-answer questions about pre-service primary teachers’ views of mathematical ability. Obtained clusters are interpreted and compared.

A Clustering Method for Multiple-Answer Questions on Pre-service Primary Teachers’ Views of Mathematics

Maffia, Andrea;Rossi Tisbeni, Simone;Ferretti, Federica;Lemmo, Alice
2020

Abstract

In the last years, research has paid strong attention to pre-service primary teachers’ views of mathematics. Interviews and questionnaires to pre-service teachers during their academic studies are the mainly used tools for collecting data. Qualitative and quantitative approaches may give different insights. In this paper, after a review of the different methods used in the literature to face the topic of pre-service primary teachers’ views of mathematics, we propose a new method. A clustering technique is applied to data collected with multiple-answer questions about pre-service primary teachers’ views of mathematical ability. Obtained clusters are interpreted and compared.
Theorizing and Measuring Affect in Mathematics Teaching and Learning
129
138
Maffia, Andrea; Rossi Tisbeni, Simone; Ferretti, Federica; Lemmo, Alice
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/849373
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