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» Extracting Student Models for Intelligent Tutoring Systems
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143
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ACII
2011
Springer
14 years 3 months ago
Predicting Facial Indicators of Confusion with Hidden Markov Models
Affect plays a vital role in learning. During tutoring, particular affective states may benefit or detract from student learning. A key cognitiveaffective state is confusion, which...
Joseph F. Grafsgaard, Kristy Elizabeth Boyer, Jame...
143
Voted
CORR
2010
Springer
232views Education» more  CORR 2010»
15 years 3 months ago
MiBoard: Multiplayer Interactive Board Game
Serious games have recently emerged as an avenue for curriculum delivery. Serious games incorporate motivation and entertainment while providing pointed curriculum for the user. Th...
Kyle B. Dempsey, Justin F. Brunelle, G. Tanner Jac...
159
Voted
IEAAIE
2010
Springer
15 years 1 months ago
Web Usage Mining for Improving Students Performance in Learning Management Systems
An innovative technique based on multi-objective grammar guided genetic programming (MOG3P-MI) is proposed to detect the most relevant activities that a student needs to pass a cou...
Amelia Zafra, Sebastián Ventura
173
Voted
ITS
1998
Springer
213views Multimedia» more  ITS 1998»
15 years 7 months ago
Component-Based Construction of a Science Learning Space
We present a vision for learning environments, called Science Learning Spaces, that are rich in engaging content and activities, provide constructive experiences in scientific proc...
Kenneth R. Koedinger, Daniel D. Suthers, Kenneth D...
132
Voted
AAAI
2012
13 years 6 months ago
Modeling Textual Cohesion for Event Extraction
Event extraction systems typically locate the role fillers for an event by analyzing sentences in isolation and identifying each role filler independently of the others. We argu...
Ruihong Huang, Ellen Riloff