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JCIT
2008
131views more  JCIT 2008»
13 years 7 months ago
Intelligent Tutoring System: Predicting Students Results Using Neural Networks
In this paper we propose methods to utilize Artificial Neural Networks to obtain knowledge for the management of educational resources. The final evaluations provide us a model th...
E. R. Naganathan, R. Venkatesh, N. Uma Maheswari
ITS
2004
Springer
130views Multimedia» more  ITS 2004»
14 years 27 days ago
Opening the Door to Non-programmers: Authoring Intelligent Tutor Behavior by Demonstration
Abstract. Intelligent tutoring systems are quite difficult and time intensive to develop. In this paper, we describe a method and set of software tools that ease the process of cog...
Kenneth R. Koedinger, Vincent Aleven, Neil T. Heff...
FLAIRS
2006
13 years 9 months ago
Managing Student Emotions in Intelligent Tutoring Systems
1 In the classic educational context, observing and identifying learner's emotional response allow the teacher to adapt the lesson, with the aim of improving the quality of th...
Roger Nkambou
AIED
2009
Springer
14 years 2 months ago
MetaTutor: Analyzing Self-Regulated Learning in a Tutoring System for Biology
We report preliminary data of an initial laboratory study examining the effectiveness of self-regulated learning (SRL) training versus no training on learners’ ability to deploy ...
Roger Azevedo, Amy M. Witherspoon, Arthur C. Graes...
AH
2004
Springer
14 years 28 days ago
Empirical Evaluation of an Adaptive Multiple Intelligence Based Tutoring System
EDUCE is an Intelligent Tutoring System for which a set of learning resources has been developed using the principles of Multiple Intelligences. It can dynamically identify learnin...
Declan Kelly, Brendan Tangney