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Garrett Eastman

Application of Artificial Intelligence in a Game-like Tutor - 6 views

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    Using AI and Incorporating game-like elements to enhance learning, math as subject
Garrett Eastman

Prime Climb: An Analysis of Attention to Student-Adaptive Hints in an Educational Game - 4 views

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    Abstract:"Prime Climb is an educational game that provides individual support for learning
    number factorization skills in the form of hints based on a model of student learning. Previous
    studies with Prime Climb indicated that students may not always be paying attention to
    the hints, even when they are justified (i.e. based on a student model's assessment). In this
    thesis we will discuss the test-bed game, Prime Climb, and our re-implementation of the
    game which allowed us to modify the game dynamically and will allow for more rapid prototyping
    in the future. To assist students as they play the game, Prime Climb includes a pedagogical
    agent which provides individualized support by providing user-adaptive hints. We
    then move into our work with the eye-tracker to better understand if and how students process
    the agent's personalized hints. We will conclude with a user study in which we use eyetracking
    data to capture user attention patterns as impacted by factors related to existing user
    knowledge, hint types, and attitude towards getting help in general. We plan to leverage these
    results in the future to make hint delivery more effective."
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