Titlebook: Artificial Intelligence in Education; 16th International C H. Chad Lane,Kalina Yacef,Philip Pavlik Conference proceedings 2013 Springer-Ver

障礙物

Towards an Understanding of Affect and Knowledge from Student Interaction with an Intelligent Tutorifrustration, and insufficient challenge leads to boredom. In this paper, we test this theory within the context of student interaction with an intelligent tutoring system. Automated detectors of student affect and knowledge were developed, validated, and applied to a large data set. The results did

fibula

Who Benefits from Confusion Induction during Learning? An Individual Differences Cluster Analysis students engage in confusion resolution processes and if relevant scaffolds are provided. However, it is unlikely that these environments will benefit all students, so it is necessary to identify the student profiles that most benefit from confusion induction. We investigated how individual differe

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Flavouring

間諜活動(dòng)

Automatically Generating Discussion Questionsupporting deep learning and discussion. We propose an extension to a state-of-the-art question generation system that allows it to produce deep, subjective questions suitable for group discussion. We evaluate the questions generated by this system against a panel of experienced judges, and find that

DAMN

temperate

ViewS in User Generated Content for Enriching Learning Environments: A Semantic Sensing Approachoints; and is particularly beneficial in ill-defined domains that encompass diverse interpretations. This paper presents ViewS - a framework for capturing viewpoints from user-generated textual content following a semantic sensing approach. It performs semantic augmentation using existing ontologies

一致性

光明正大

Ringworm