Agents and Analytics - A Framework for Educational Data Mining with Games based Learning

Harri Ketamo

Abstract

This paper focuses on data mining and analysis framework behind Eedu elements mathematics game. The background of the game is in learning-by-doing, learning-by-teaching and to some extent learning-by-programming. The data modelling behind the game is based on semantic networks. When all the skills and knowledge is modelled as semantic network, all the data mining can be done in terms of network analysis. According to our studies, this approach enables very detailed and valid learning analytics. The novelty value of the study is in games based approach on learning and data mining.

References

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Paper Citation


in Harvard Style

Ketamo H. (2013). Agents and Analytics - A Framework for Educational Data Mining with Games based Learning . In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-8565-39-6, pages 377-382. DOI: 10.5220/0004331403770382


in Bibtex Style

@conference{icaart13,
author={Harri Ketamo},
title={Agents and Analytics - A Framework for Educational Data Mining with Games based Learning},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2013},
pages={377-382},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004331403770382},
isbn={978-989-8565-39-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Agents and Analytics - A Framework for Educational Data Mining with Games based Learning
SN - 978-989-8565-39-6
AU - Ketamo H.
PY - 2013
SP - 377
EP - 382
DO - 10.5220/0004331403770382