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Agents and analytics: A framework for educational data mining with games based learning

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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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... In crowd-sourced serious games, three game-play metrics (active users, session counts and session time) were found to be good indicators of productivity by (Tellioglu et al. 2014), while team cohesion and psychological safety may be good performance indicators in multiplayer serious games (Mayer et al. 2014). Also, behaviors such as avoiding a concept indicated poor performance (Ketamo 2013). Implicit learning can also be adequately measured through behaviors (Rowe et al. 2017) and game log data (Rowe, Asbell-clarke, and Baker 2015). ...
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