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.
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 / Lemmo, Alice; Maffia, Andrea; Ferretti, Federica; Tisbeni, Simone. - (2020), pp. 129-138. [10.1007/978-3-030-50526-4_13].
A Clustering Method for Multiple-Answer Questions on Pre-service Primary Teachers’ Views of Mathematics
Alice Lemmo;
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
