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  • Replace UCB logic with a Q-learning engine for adaptive question flow
  • Implement state-action-reward loop using Combos and InteractionLogs tables
  • Insert real curriculum questions with difficulty, choices, and correct_answer
  • Wire question selection to Q-learning output and update Q-values per answer
  • Log emotions, hints, speed, and correctness to shape reward signal
  • Display next AI-recommended action and update UI based on it

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