This paper aims at identifying profiles of students that are homogenous with regard to their ability to solve Complex Problem Solving (CPS) tasks, as as- sessed by the MicroDYN approach, a computer test made of 9 independent tasks, and administered to a sample of 6th and 9th grade Finnish students. For this aim, we estimate a discrete two-tier Item Response Theory (IRT) model. Results indicate that: (1) the conceptualisation of CPS as a three-dimensional variable is reasonable and (2) there are seven latent classes of students characterised by a specific profile with regard to the adopted CPS strategies, with students clustered in the higher la- tent classes having generally a higher CPS ability than the others, across the three CPS dimensions.
Profiles of students on account of complex problem solving (CPS) strategies exploited via log-data / Michela Gnaldi; Silvia Bacci; Samuel Greiff; Thiemo Kunze. - ELETTRONICO. - (2017), pp. 505-512. [10.36253/978-88-6453-521-0]
Profiles of students on account of complex problem solving (CPS) strategies exploited via log-data
Silvia Bacci;
2017
Abstract
This paper aims at identifying profiles of students that are homogenous with regard to their ability to solve Complex Problem Solving (CPS) tasks, as as- sessed by the MicroDYN approach, a computer test made of 9 independent tasks, and administered to a sample of 6th and 9th grade Finnish students. For this aim, we estimate a discrete two-tier Item Response Theory (IRT) model. Results indicate that: (1) the conceptualisation of CPS as a three-dimensional variable is reasonable and (2) there are seven latent classes of students characterised by a specific profile with regard to the adopted CPS strategies, with students clustered in the higher la- tent classes having generally a higher CPS ability than the others, across the three CPS dimensions.I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.