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Mandanici, Marcella; Di Filippo, Roberto; Delle Monache, Stefano – Technology, Knowledge and Learning, 2021
This paper describes an educational experience realized in the form of extracurricular workshops involving music technology students of the "V. Gambara" music high school in Brescia (Italy). By means of a participatory prototyping experience, the project aimed at fostering the students awareness and understanding of technological means…
Descriptors: Extracurricular Activities, Workshops, Music Education, High School Students
Mikheeva, Ekaterina, Ed.; Meyer, Sebastian, Ed. – International Association for the Evaluation of Educational Achievement, 2020
IEA's International Computer and Information Literacy Study (ICILS) 2018 is designed to assess how well students are prepared for study, work, and life in a digital world. The study measures international differences in students' computer and information literacy (CIL): their ability to use computers to investigate, create, participate, and…
Descriptors: International Assessment, Computer Literacy, Information Literacy, Computer Assisted Testing
Garino, Claudio; Terenzi, Alessio; Barone, Giampaolo; Salassa, Luca – Journal of Chemical Education, 2016
Among computational methods, DFT (density functional theory) and TD-DFT (time-dependent DFT) are widely used in research to describe, "inter alia," the optical properties of transition metal complexes. Inorganic/physical chemistry courses for undergraduate students treat such methods, but quite often only from the theoretical point of…
Descriptors: Science Instruction, Chemistry, College Science, Undergraduate Study
Varriale, Roberta; Vermunt, Jeroen K. – Multivariate Behavioral Research, 2012
Factor analysis is a statistical method for describing the associations among sets of observed variables in terms of a small number of underlying continuous latent variables. Various authors have proposed multilevel extensions of the factor model for the analysis of data sets with a hierarchical structure. These Multilevel Factor Models (MFMs)…
Descriptors: Factor Analysis, Models, Statistical Analysis, Maximum Likelihood Statistics
Bartolucci, Francesco; Pennoni, Fulvia; Vittadini, Giorgio – Journal of Educational and Behavioral Statistics, 2011
An extension of the latent Markov Rasch model is described for the analysis of binary longitudinal data with covariates when subjects are collected in clusters, such as students clustered in classes. For each subject, a latent process is used to represent the characteristic of interest (e.g., ability) conditional on the effect of the cluster to…
Descriptors: Markov Processes, Data Analysis, Maximum Likelihood Statistics, Computation
Monari Martinez, Elisabetta; Benedetti, Nives – European Journal of Special Needs Education, 2011
The key questions are: is it true that persons with Down's syndrome can study mathematics only at a very elementary level? Might it be possible that their difficulties are mainly restricted to some fields, such as numeracy and mental computation, but do not encompass the entire domain of mathematics? Is the use of a calculator recommended? Is…
Descriptors: Familiarity, Numeracy, Mental Computation, Calculators