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Author: Harri Ketamo

Affiliation: Satakunta University of Applied Sciences and Eedu Ltd, Finland

Keyword(s): Educational Data Mining, Learning Analytics, Games based Learning, Artificial Intelligence.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Computational Intelligence ; Data Mining ; Databases and Information Systems Integration ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge Engineering and Ontology Development ; Knowledge Representation and Reasoning ; Knowledge-Based Systems ; Machine Learning ; Multi-Agent Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Software Engineering ; Symbolic Systems

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.

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Paper citation in several formats:
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; ISSN 2184-433X, SciTePress, pages 377-382. DOI: 10.5220/0004331403770382

@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},
issn={2184-433X},
}

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
IS - 2184-433X
AU - Ketamo, H.
PY - 2013
SP - 377
EP - 382
DO - 10.5220/0004331403770382
PB - SciTePress

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