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» Modeling Learners as Individuals and as Groups
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ISVC
2007
Springer
15 years 3 months ago
Boosting with Temporal Consistent Learners: An Application to Human Activity Recognition
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...
Pedro Canotilho Ribeiro, Plinio Moreno, José...
ICTAI
2008
IEEE
15 years 3 months ago
LRNPlanner: Planning Personalized and Contextualized E-Learning Routes
The aim of educational systems is to design a sequence of learning objects on a set of topics tailored to the learner’s goals and individual properties. However, some of the mai...
Eva Onaindia, Antonio Garrido, Oscar Sapena
68
Voted
COGSCI
2008
74views more  COGSCI 2008»
14 years 9 months ago
Optimal Predictions in Everyday Cognition: The Wisdom of Individuals or Crowds?
Griffiths and Tenenbaum (2006) asked individuals to make predictions about the duration or extent of everyday events (e.g., cake baking times), and reported that predictions were ...
Michael C. Mozer, Harold Pashler, Hadjar Homaei
UMUAI
2008
192views more  UMUAI 2008»
14 years 9 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...
ICMI
2003
Springer
128views Biometrics» more  ICMI 2003»
15 years 2 months ago
Modeling multimodal integration patterns and performance in seniors: toward adaptive processing of individual differences
Multimodal interfaces are designed with a focus on flexibility, although very few currently are capable of adapting to major sources of user, task, or environmental variation. The...
Benfang Xiao, Rebecca Lunsford, Rachel Coulston, R...