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» Analyzing learning concepts in intelligent tutoring systems
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AH
2006
Springer
15 years 1 months ago
The Effect of Adapting Feedback Generality in ITS
Intelligent tutoring systems achieve much of their success by adapting to individual students. One potential avenue for personalization is feedback generality. This paper presents ...
Brent Martin, Antonija Mitrovic
FLAIRS
2000
14 years 11 months ago
Formal Concepts of Learning Systems Validation in Use
Volker Dötsch, Gunter Grieser, Klaus P. Jantk...
CEEMAS
2005
Springer
15 years 3 months ago
Case-Based Student Modeling in Multi-agent Learning Environment
Abstract. The student modeling (SM) is a core component in the development of Intelligent Learning Environments (ILEs). In this paper we describe how a Multi-agent Intelligent Lear...
Carolina González, Juan C. Burguillo-Rial, ...
FLAIRS
1998
14 years 11 months ago
Responding to Unexpected Student Utterances in CIRCSIM-Tutor v.3: Analysis of Transcripts
CIRCSIM-Tutor is a dialogue-based intelligent tutoring system that conducts dialogues with medical students about blood pressure regulation. To obtain models for computergenerated...
Jung Hee Kim, Reva Freedman, Martha W. Evens
AIED
2007
Springer
15 years 4 months ago
Mind and Body: Dialogue and Posture for Affect Detection in Learning Environments
We investigated the potential of automatic detection of a learner’s affective states from posture patterns and dialogue features obtained from an interaction with AutoTutor, an i...
Sidney K. D'Mello, Arthur C. Graesser