Skip to main content

Research Repository

Advanced Search

Evaluating the learning by development action model with CS students.

Lintil�, Taina

Authors

Taina Lintil�



Abstract

The purpose of the study is to find out how the competence of computing students develops throughout a study module as they are exposed to a Learning by Developing (LbD) Action Model. Furthermore, their perception of the model is evaluated against existing pedagogies to better understand the effectiveness of this tool when used specifically in a CS context.

Citation

LINTILÄ, T. 2021. Evaluating the learning by development action model with CS students. In Proceedings of the 26th Association for Computing Machinery (ACM) Innovation and technology in computer science education conference 2021 (ITiCSE '21), 26 June - 1 July 2021, [virtual conference]. New York: ACM [online], pages 670-671. Available from: https://doi.org/10.1145/3456565.3460020

Conference Name 26th Association for Computing Machinery (ACM) Innovation and technology in computer science education conference 2021 (ITiCSE '21)
Conference Location [virtual conference]
Start Date Jun 26, 2021
End Date Jul 1, 2021
Acceptance Date Mar 1, 2021
Online Publication Date Jun 26, 2021
Publication Date Jun 26, 2021
Deposit Date Jul 9, 2021
Publicly Available Date Jul 9, 2021
Publisher Association for Computing Machinery (ACM)
Pages 670-671
Book Title ITiCSE '21: proceedings of the 26th ACM conference on Innovation and technology in computer science education
ISBN 9781450383974
DOI https://doi.org/10.1145/3456565.3460020
Keywords Computing education; Coronavirus; COVID-19; Online education
Public URL https://rgu-repository.worktribe.com/output/1380155

Files

LINTILA 2021 Evaluating the learning (377 Kb)
PDF

Copyright Statement
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org.




You might also like



Downloadable Citations