Performance Indexes for Assessing a Learning Process to Support Computational Thinking with Peer Review

Walter Nuninger

2025

Abstract

This article focuses on digital skills as defined in European Digital Competence Framework for Citizen (DigComp). In the framework of a hybrid and blended course, a formative pedagogical scenario is proposed. The training process consists of a formative situation of agile development of an application, supported by a gradual process of evaluation with and by peers called SCPR. The proposal is the result of several years of continuous improvement with engineering students enrolled in the IT module for non-developers. Learning outcomes relate to Computational and Algorithmic Thinking (CAT). It is then possible to compare the impact of our standard course design over several years with the group enrolled in full-time initial training between 2021 and 2023. A 3-index set, including the counter-performance index, enables us to analyse the effect of the pedagogical device on learning profiles, and the evolution of positive feelings and difficulties experienced. Qualitative data confirm the project's benefits and trainers' role in terms of student involvement and perspective-taking, and provides information on the impact of the previous training path and the obstacles. The proposed indicators confirm the pedagogical proposal and guide future prospects towards more relevant indicators for monitoring CT learning within the DLE framework.

Paper Citation

in Harvard Style

Nuninger W. (2025). Performance Indexes for Assessing a Learning Process to Support Computational Thinking with Peer Review. In Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-746-7, SciTePress, pages 815-822. DOI: 10.5220/0013361100003932

in Bibtex Style

@conference{csedu25,
author={Walter Nuninger},
title={Performance Indexes for Assessing a Learning Process to Support Computational Thinking with Peer Review},
booktitle={Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU},
year={2025},
pages={815-822},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013361100003932},
isbn={978-989-758-746-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - Performance Indexes for Assessing a Learning Process to Support Computational Thinking with Peer Review
SN - 978-989-758-746-7
AU - Nuninger W.
PY - 2025
SP - 815
EP - 822
DO - 10.5220/0013361100003932
PB - SciTePress