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Improved Performances and Motivation in Intelligent Tutoring Systems: Combining Machine Learning and Learner Choice
v1v2 (latest)

Improved Performances and Motivation in Intelligent Tutoring Systems: Combining Machine Learning and Learner Choice

16 January 2024
Benjamin Clément
Hélene Sauzéon
Didier Roy
Pierre-Yves Oudeyer
ArXiv (abs)PDFHTML

Papers citing "Improved Performances and Motivation in Intelligent Tutoring Systems: Combining Machine Learning and Learner Choice"

4 / 4 papers shown
Title
Leveraging Cognitive States for Adaptive Scaffolding of Understanding in Explanatory Tasks in HRI
Leveraging Cognitive States for Adaptive Scaffolding of Understanding in Explanatory Tasks in HRI
André Groß
Birte Richter
Bjarne Thomzik
Britta Wrede
70
0
0
25 Mar 2025
Automatic Curriculum Learning For Deep RL: A Short Survey
Automatic Curriculum Learning For Deep RL: A Short Survey
Rémy Portelas
Cédric Colas
Lilian Weng
Katja Hofmann
Pierre-Yves Oudeyer
ODL
93
175
0
10 Mar 2020
Automated Curriculum Learning for Neural Networks
Automated Curriculum Learning for Neural Networks
Alex Graves
Marc G. Bellemare
Jacob Menick
Rémi Munos
Koray Kavukcuoglu
88
531
0
10 Apr 2017
Multi-Armed Bandits for Intelligent Tutoring Systems
Multi-Armed Bandits for Intelligent Tutoring Systems
Benjamin Clément
Didier Roy
Pierre-Yves Oudeyer
M. Lopes
68
141
0
11 Oct 2013
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