Using cluster analysis to study the modelling abilities of engineering undergraduate students: a case study

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Abstract

In this contribution we discuss the application of a quantitative, non-hierarchical clustering method to make sense of the answers that 120 engineering undergraduates students at the University of Palermo, Italy, gave to four open-ended questions on the meaning of the modeling processes in Science. We will show that the use of non-hierarchical analysis allows us to easily separate students into groups that can be recognized and characterized by common traits in students’ answers without any prior knowledge on the part of the researcher of what form those groups would take (unbiased classification).
Lingua originaleEnglish
Numero di pagine0
Stato di pubblicazionePublished - 2016

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cluster analysis
engineering
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title = "Using cluster analysis to study the modelling abilities of engineering undergraduate students: a case study",
abstract = "In this contribution we discuss the application of a quantitative, non-hierarchical clustering method to make sense of the answers that 120 engineering undergraduates students at the University of Palermo, Italy, gave to four open-ended questions on the meaning of the modeling processes in Science. We will show that the use of non-hierarchical analysis allows us to easily separate students into groups that can be recognized and characterized by common traits in students’ answers without any prior knowledge on the part of the researcher of what form those groups would take (unbiased classification).",
author = "Claudio Fazio and {Di Paola}, Benedetto and {Persano Adorno}, Dominique and Battaglia, {Onofrio Rosario}",
year = "2016",
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T1 - Using cluster analysis to study the modelling abilities of engineering undergraduate students: a case study

AU - Fazio, Claudio

AU - Di Paola, Benedetto

AU - Persano Adorno, Dominique

AU - Battaglia, Onofrio Rosario

PY - 2016

Y1 - 2016

N2 - In this contribution we discuss the application of a quantitative, non-hierarchical clustering method to make sense of the answers that 120 engineering undergraduates students at the University of Palermo, Italy, gave to four open-ended questions on the meaning of the modeling processes in Science. We will show that the use of non-hierarchical analysis allows us to easily separate students into groups that can be recognized and characterized by common traits in students’ answers without any prior knowledge on the part of the researcher of what form those groups would take (unbiased classification).

AB - In this contribution we discuss the application of a quantitative, non-hierarchical clustering method to make sense of the answers that 120 engineering undergraduates students at the University of Palermo, Italy, gave to four open-ended questions on the meaning of the modeling processes in Science. We will show that the use of non-hierarchical analysis allows us to easily separate students into groups that can be recognized and characterized by common traits in students’ answers without any prior knowledge on the part of the researcher of what form those groups would take (unbiased classification).

UR - http://hdl.handle.net/10447/189948

M3 - Other

ER -