Opening User Model Data for Motivation and Learning: The Case of an Adaptive Multiplication Game

Angeliki Leonardou, Maria Rigou, John Garofalakis

2019

Abstract

Multiplication table fluency is of core importance, as it consists a fundamental stage of mathematics education. It is a common phenomenon that pupils face difficulties in perceiving this knowledge and achieving multiplication skills. This paper presents an adaptive multiplication game for assessing and gradually improving multiplication skills. The game also incorporates Open Learner Model elements which expose parts of the learner model to the user through easily perceivable visualizations for improving self-reflection, fostering self-regulated learning and increasing user motivation. The game has been tested with a representative sample of primary school students and based on the data collected the game and the Open Learner Model’s features have been received positively.

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Paper Citation


in Harvard Style

Leonardou A., Rigou M. and Garofalakis J. (2019). Opening User Model Data for Motivation and Learning: The Case of an Adaptive Multiplication Game.In Proceedings of the 11th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-367-4, pages 383-390. DOI: 10.5220/0007735603830390


in Bibtex Style

@conference{csedu19,
author={Angeliki Leonardou and Maria Rigou and John Garofalakis},
title={Opening User Model Data for Motivation and Learning: The Case of an Adaptive Multiplication Game},
booktitle={Proceedings of the 11th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2019},
pages={383-390},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007735603830390},
isbn={978-989-758-367-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - Opening User Model Data for Motivation and Learning: The Case of an Adaptive Multiplication Game
SN - 978-989-758-367-4
AU - Leonardou A.
AU - Rigou M.
AU - Garofalakis J.
PY - 2019
SP - 383
EP - 390
DO - 10.5220/0007735603830390