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Szegletes and Forstner [S36] proposed a reusable framework for adaptive game development.
The pre- and post-tests results for learning indicated that significantly higher learning outcomes were achieved by students who played the adaptive game.
Certainly, the Theory of Flow is the most referred in the game AI area and, still, it is unclear how to effectively design and implement adaptive game modules or understanding which game features drive players to a flow state.
Adaptive game software has been successful in remediation of dyslexia.
In this article we report the first development of an adaptive game for remediation of dyscalculia, inspired by cognitive neuroscience research.
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To provide the intensive training necessary to induce long-lasting brain changes, researchers have designed "adaptive games", i.e. computer programs which use algorithms to adapt to an individual child's ability and provide intensive training in an entertaining context.
Game developers can also use the data to for game creation and adaptive games that change features based on the player.
These results suggest GBLA shows promise for future work such as adaptive games and in-class, data-driven formative assessments, but design of the assessment mechanics must be carefully crafted for each game.
Finally, a fourth important instructional principle common to all adaptive games was to maintain attention and motivation by providing sufficient positive reinforcement.
In this paper, we extend the ATM framework with additional time-adaptation algorithms and analyze the interaction between adaptive algorithm, game mechanic, and game difficulty in a controlled experiment.
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