PRODID project

Acquario Debora, Clerici Renata, Da Re Lorenza, Dalla Zuanna Gianpiero, Felisatti Ettore, Martinoia Sabrina, Paccagnella Omar, Paggiaro Adriano, Serbati Anna, Stocco Cristina (2020)

This dataset is obtained by merging three different datasets coming from the University of Padua (academic year: 2012-2013). The first one is the standard online survey carried out by the University to measure students' opinions on the didactic activities of bachelor degree courses. The second one is the administrative dataset that collects information on the teachers and the didactic activities. The third one is an innovative dataset, collected by means of a new online survey aiming at providing a picture of the teaching experiences developed in the university classrooms. Indeed, the University of Padua in 2013 promoted the PRODID (“Teacher professional development and academic educational innovation” – in italian “Preparazione alla professionalità docente e innovazione didattica”). The goal of this project is to highlight teachers' needs, beliefs and practices of teaching and learning.

Related publications:

- Grilli L., Marino M.F., Paccagnella O. e C. Rampichini (2020) "Multiple imputation and selection of ordinal level 2 predictors in multilevel models. An analysis of the relationship between student ratings and teacher practices and attitudes", Statistical Modelling, online first, 1-18, doi:10.1177/1471082X20949710
- Bassi F., Grilli L., Paccagnella O., Rampichini C. e Varriale R. (2019) "New insights on Student Evaluation of Teaching in Italy", in A. Petrucci, F. Racioppi e R. Verde (eds), New Statistical Developments in Data Science, Springer, 263-274.


General Info
Depositing user: Paccagnella Omar
Collection Period: from 2013 to 2020
Last modified: 31-01-2022
Type of data: Database
URI: https://datarepository.stat.unipd.it/item/16
DOI:
 

Creators/Authors
Surname
Name
Email
ORCID
Acquario
Debora
debora.acquario@unipd.it
Clerici
Renata
renata.clerici@unipd.it
Da Re
Lorenza
lorenza.dare@unipd.it
Dalla Zuanna
Gianpiero
gianpiero.dallazuanna@unipd.it
Felisatti
Ettore
ettore.felisatti@unipd.it
Martinoia
Sabrina
sabrina.martinoia@unipd.it
Paccagnella
Omar
omar.paccagnella@unipd.it
Paggiaro
Adriano
adriano.paggiaro@unipd.it
Serbati
Anna
anna.serbati@unipd.it
Stocco
Cristina
cristina.stocco@unipd.it

Scientific Referent
Surname
Name
Email
ORCID
Paccagnella
Omar
omar.paccagnella@unipd.it

Available files
Data
Description
Size
 
prodid.csv
Data in csv format
7.57 MB
prodid.Rdata
Data in R format
525.80 KB
prodid.sas7bdat
Data in SAS format
30.19 MB
var_prodid
Description of the variables of the file "prodid"
368.05 KB
README.pdf
Readme file
3.70 KB