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However, the hidden Markov models were most accurate in predicting participants' performances as a function of provided challenges, and thus, they placed participants at appropriate future challenges. These data provide good support for the potential of machine learning approaches as appropriate methods to personalize task performance to users in tasks that require adaptively determined challenges.Children with dyslexia face persistent difficulties in acquiring not only reading skills but also spelling skills. Among difficulties in spell
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