Skip to Main content Skip to Navigation
Conference papers

The Online Course Was Great: I Would Attend It Face-to-Face: The Good, The Bad, and the Ugly of IT in Emergency Remote Teaching of CS1

Michael Lodi 1, 2 Marco Sbaraglia 2 Stefano Pio Zingaro 1, 2 Simone Martini 1, 2 
1 FOCUS - Foundations of Component-based Ubiquitous Systems
CRISAM - Inria Sophia Antipolis - Méditerranée , DISI - Dipartimento di Informatica - Scienza e Ingegneria [Bologna]
Abstract : We describe how we redesigned, because of the 2020 COVID-19 pandemic, the CS1 course for Math undergraduates to be held online yet reflecting the face-to-face (F2F) experience as much as possible. We present the course structure, the IT tools we used, and the strategies we implemented to preserve the benefits of a synchronous experience. We discuss the positive and negative aspects that emerged from the students' opinion qualitative analysis. We use the COI framework as a lens to explain what worked, what did not, and what can be improved to strengthen the perception of a F2F experience and mitigate the "presence paradox" we found: despite students being enthusiastic about the online format, most would still prefer a F2F course.
Document type :
Conference papers
Complete list of metadata

https://hal.inria.fr/hal-03338808
Contributor : Michael Lodi Connect in order to contact the contributor
Submitted on : Thursday, September 9, 2021 - 9:36:43 AM
Last modification on : Saturday, June 25, 2022 - 7:42:01 PM
Long-term archiving on: : Friday, December 10, 2021 - 6:21:02 PM

File

GoodIT_Good_Bad_Ugly_auth.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Michael Lodi, Marco Sbaraglia, Stefano Pio Zingaro, Simone Martini. The Online Course Was Great: I Would Attend It Face-to-Face: The Good, The Bad, and the Ugly of IT in Emergency Remote Teaching of CS1. GoodIT '21: Conference on Information Technology for Social Good, Sep 2021, Roma, Italy. pp.242-247, ⟨10.1145/3462203.3475902⟩. ⟨hal-03338808⟩

Share

Metrics

Record views

31

Files downloads

67