Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
What Are You Feeling? Investigating Student Affective States During Expert Human Tutoring Sessions
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Empirically building and evaluating a probabilistic model of user affect
User Modeling and User-Adapted Interaction
Responding to Learners' Cognitive-Affective States with Supportive and Shakeup Dialogues
Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Modeling confusion: facial expression, task, and discourse in task-oriented tutorial dialogue
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
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Although, many have theorized about the link between cognition and affect and its potential importance in complex tasks such as problem solving and deep learning, this link has seldom been explicitly investigated during tutoring Consequently, this paper investigates the relationship between learners' cognitive and affective states during 50 tutoring sessions with expert human tutors Association rule mining analyses revealed significant co-occurrence relationships between several of the cognitive measures (i.e., student answer types, question types, misconceptions, and metacomments) and the affective states of confusion, frustration, and anxiety, but not happiness We also derived a number of association rules (Cognitive State → Affective State) from the co-occurrence relationships We discuss the implications of our findings for theories that link affect and cognition during learning and for the development of affect-sensitive ITSs.