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» Managing Student Emotions in Intelligent Tutoring Systems
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UMUAI
2008
192views more  UMUAI 2008»
13 years 7 months ago
Automatic detection of learner's affect from conversational cues
We explored the reliability of detecting a learner's affect from conversational features extracted from interactions with AutoTutor, an intelligent tutoring system that helps...
Sidney K. D'Mello, Scotty D. Craig, Amy M. Withers...
AIED
2005
Springer
14 years 1 months ago
The Effect of Explaining on Learning: a Case Study with a Data Normalization Tutor
: Several studies have shown that explaining actions increases students’ knowledge. In this paper, we discuss how NORMIT supports self-explanation. NORMIT is a constraint-based t...
Antonija Mitrovic
COMSIS
2006
129views more  COMSIS 2006»
13 years 7 months ago
Constraint-Based Knowledge Representation for Individualized Instruction
Traditional knowledge representations were developed to encode complete, explicit and executable programs, a goal that makes them less than ideal for representing the incomplete an...
Stellan Ohlsson, Antonija Mitrovic
AIED
2009
Springer
14 years 2 months ago
Combining Evaluative and Generative Diagnosis in ACTIVEMATH
Generative and evaluative approaches are two different ways of diagnosing students’ input that have been realized in a number of intelligent tutoring systems. We describe how Ac...
George Goguadze, Erica Melis
AIED
2007
Springer
13 years 11 months ago
Domain-Specific and Domain-Independent Interactive Behaviors in Andes
In this study, students studied two different domains in the same Intelligent Tutoring System, Andes. Analysis of 435 log files from 22 subjects indicated that there are two types ...
Min Chi, Kurt VanLehn