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Titlebook: Artificial Intelligence in Education; 20th International C Seiji Isotani,Eva Millán,Rose Luckin Conference proceedings 2019 Springer Nature

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,Using “Idealized Peers” for Automated Evaluation of Student Understanding in an Introductory Psychoe time, forced-choice assessments suffer from issues of guessing (when used as tests) and may not encourage valuable behaviors of construction and generation of understanding (when used as learning activities). Previous work demonstrates that automated scoring of constructed responses such as summar
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4D Affect Detection: Improving Frustration Detection in Game-Based Learning with Posture-Based Temp central role in learning. However, sensor-based affect detection poses important challenges. Motion-tracking cameras produce vast streams of spatial and temporal data, but relatively few systems have harnessed this data successfully to produce accurate run-time detectors of learner frustration outs
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Designing for Complementarity: Teacher and Student Needs for Orchestration Support in AI-Enhanced Cnd how might educational AI (AIED) systems best be designed to support these complementary roles? We explore these questions through participatory design and needs validation studies with K-12 teachers and students. Using human-centered design methods rarely employed in AIED research, this work buil
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The Case of Self-transitions in Affective Dynamics,cs. Despite some shared metrics and research questions, researchers in this area have some differences in how they pre-process the data for analysis [.]. Specifically, researchers differ in how they treat cases where a student remains in the same affective state in two successive observations, refer
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How Many Times Should a Pedagogical Agent Simulation Model Be Run?,ortant decisions has to do with determining how many runs of a simulation to perform in order to be confident in the results produced by the simulation [.]. With a deterministic model, a single simulation run is adequate. This issue becomes more challenging when part of the simulation model is based
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Artificial Intelligence in Education978-3-030-23204-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
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