Agents and Analytics - A Framework for Educational Data Mining with Games based Learning
Harri Ketamo
2013
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.
DownloadPaper 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