A Collaborative Game for Learning Algorithms

Foteini Grivokostopoulou, Isidoros Perikos, Ioannis Hatzilygeroudis

2017

Abstract

Educational games constitute an important mean of delivering effective learning procedures to students and they can offer various learning opportunities in all levels of education. In this work, we present a collaborative game that was developed to assist students in learning algorithms and we explore its learning capabilities. The game aims to assist students in learning constraint satisfaction algorithms and it is based on the map coloring game. In the context of the game, students can experiment and apply the algorithms in various learning activities and training scenarios. The game has been integrated into the curriculum of the artificial intelligence course in our university. An evaluation study was conducted in real classroom conditions and revealed quite promising results which indicate that the game is an effective way to enhance students’ motivation, engagement and interest and also it helps students to deeper understand the functionality of constraint satisfaction algorithms.

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Paper Citation


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - A Collaborative Game for Learning Algorithms
SN - 978-989-758-239-4
AU - Grivokostopoulou F.
AU - Perikos I.
AU - Hatzilygeroudis I.
PY - 2017
SP - 543
EP - 549
DO - 10.5220/0006377405430549


in Harvard Style

Grivokostopoulou F., Perikos I. and Hatzilygeroudis I. (2017). A Collaborative Game for Learning Algorithms . In Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-239-4, pages 543-549. DOI: 10.5220/0006377405430549


in Bibtex Style

@conference{csedu17,
author={Foteini Grivokostopoulou and Isidoros Perikos and Ioannis Hatzilygeroudis},
title={A Collaborative Game for Learning Algorithms},
booktitle={Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2017},
pages={543-549},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006377405430549},
isbn={978-989-758-239-4},
}