Cited by 96Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in EducationOnline Learning and Analytics

Learning teaching strategies in an Adaptive and Intelligent Educational System through Reinforcement Learning

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Iglesias, Ana, Martínez, Paloma, Aler, Ricardo, Fernández, Fernando·2009·Applied Intelligence

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Crossref · 10.1007/s10489-008-0115-1

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46 of 46 references verified0 citation errors · 0 not checkable

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  • Recent approaches have applied ML techniques such as multi-armed bandit techniques to adaptively personalize sequences of learning activities, LSTMs to generate questions to evaluate language comprehension, and RL to improve the strategies used within the ITS.

    “While ITSs have traditionally been defined and constructed by hand, recent approaches have applied ML techniques such as multi-armed bandit techniques to adaptively personalize sequences of learning activities [135], LSTMs to generate questions to evaluate language comprehension [205], and RL to improve the strategies used within the ITS [365,441].”

    From Tackling climate change with machine learning (2023) · cites this paper as [365]

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Authors
Iglesias, A., Martínez, P., Aler, R., & Fernández, F.
Affiliations
Universidad Carlos III de Madrid (ES)
Corresponding author
Iglesias, Ana
Venue
Applied Intelligence
Published
2008-02-16
Volume
31
Issue
1
Pages
89-106
ISSN
  • 0924-669X (ISSN-L)
  • 1573-7497
OpenAlex
W1971681797
Cited by
96
References
46
Citations by year
2026: 6 · 2025: 7 · 2024: 6 · 2023: 3 · 2022: 8 · 2021: 9 · 2020: 6 · 2019: 5 · 2018: 6 · 2017: 3 · 2016: 4 · 2015: 3 · 2014: 4 · 2013: 5 · 2012: 3
FWCI
9.52
Type
journal article
Language
en
Open access
Locations
  • Applied Intelligence (publishedVersion)
  • e-Archivo (Carlos III University of Madrid) (acceptedVersion, other-oa)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, other-oa)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
Keywords
reinforcement learning, pedagogical policy, teaching methods, exploration-exploitation balance, learning convergence, personalized tutoring

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