The case study reports the implementation of Hybrid Blended Learning solutions in the teaching of Fundamentals of Analysis and Probability in the Computer Engineering Degree Course at the University of Padua. The teaching organization and methodology have been revised in a transformative perspective, using innovative STEM and digitally integrated approaches in blended learning mode (Ministerial Decree 289/2021). The context of the study is a cohort of 200 students, divided into two groups for organizational issues. The study analyzed data collected with different instruments: a survey administered by the lecturer and the course evaluation questionnaire required by university quality assurance standards, focusing on overall satisfaction, organizational and teaching aspects and perceived workload. In addition, data on final examination assessment were taken into account.

Hybrid blended learning solutions in a STEM teaching of the degree course in Computer Engineering

De Rossi Marina
Writing – Original Draft Preparation
;
Mariconda Carlo
Data Curation
2023

Abstract

The case study reports the implementation of Hybrid Blended Learning solutions in the teaching of Fundamentals of Analysis and Probability in the Computer Engineering Degree Course at the University of Padua. The teaching organization and methodology have been revised in a transformative perspective, using innovative STEM and digitally integrated approaches in blended learning mode (Ministerial Decree 289/2021). The context of the study is a cohort of 200 students, divided into two groups for organizational issues. The study analyzed data collected with different instruments: a survey administered by the lecturer and the course evaluation questionnaire required by university quality assurance standards, focusing on overall satisfaction, organizational and teaching aspects and perceived workload. In addition, data on final examination assessment were taken into account.
File in questo prodotto:
File Dimensione Formato  
02_EXIOA2_2023DeRossi-Mariconda.pdf

accesso aperto

Tipologia: Published (publisher's version)
Licenza: Creative commons
Dimensione 821.93 kB
Formato Adobe PDF
821.93 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3504332
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex ND
social impact