Titlebook: Artificial Intelligence in Education; 17th International C Cristina Conati,Neil Heffernan,M. Felisa Verdejo Conference proceedings 2015 Spr

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Predicting Comprehension from Students’ Summariesey learn to coherently link information, while organically constructing a solid knowledge base, is crucial to students’ development, but requires regular assessment and progress tracking. To this end, our aim is to provide an automated solution for analyzing and predicting students’ comprehension le

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A Tutorial Dialogue System for Real-Time Evaluation of Unsupervised Dialogue Act Classifiers: Explorlogue act classification hold great promise, and among these, unsupervised dialogue act classifiers have the great benefit of eliminating the human dialogue act annotation effort required to label corpora. In contrast to traditional evaluation approaches which judge unsupervised dialogue act classif

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Positive Impact of Collaborative Chat Participation in an edX MOOCion and learning in MOOCs both point to the importance of social engagement for motivational support and overcoming difficulties with material and course procedures. In this paper we evaluate an intervention that makes synchronous collaboration opportunities available to students in an edX MOOC. We

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Examining the Predictive Relationship Between Personality and Emotion Traits and Learners’ Agent-Dirait studying emotions), and the emotions they reported experiencing as a result of interacting with two Pedagogical Agents (PAs - agent-directed emotions) in MetaTutor, an advanced multi-agent learning environment. Overall, significant relationships between a subset of trait emotions (trait anger, t

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Evaluating Human and Automated Generation of Distractors for Diagnostic Multiple-Choice Cloze Questink) questions to assess children’s reading comprehension processes. Ungrammatical distractors test syntax, nonsensical distractors test semantics, and locally plausible distractors test inter-sentential processing. 27 knowledgeable humans rated candidate answers as correct, plausible, nonsensical, o

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Learning to Diagnose a Virtual Patient: an Investigation of Cognitive Errors in Medical Problem Solvthe mechanisms by which they occur are difficult to isolate in clinical settings. Computer-based learning environments (CBLE) offer the opportunity to train medical students to avoid cognitive errors by tracking the onset of these errors. The purpose of this study is to explore cognitive errors in a