Inducing effective pedagogical strategies using learning context features

Min Chi, Kurt VanLehn, Diane Litman, Pamela Jordan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

Effective pedagogical strategies are important for e-learning environments. While it is assumed that an effective learning environment should craft and adapt its actions to the user's needs, it is often not clear how to do so. In this paper, we used a Natural Language Tutoring System named Cordillera and applied Reinforcement Learning (RL) to induce pedagogical strategies directly from pre-existing human user interaction corpora. 50 features were explored to model the learning context. Of these features, domain-oriented and system performance features were the most influential while user performance and background features were rarely selected. The induced pedagogical strategies were then evaluated on real users and results were compared with pre-existing human user interaction corpora. Overall, our results show that RL is a feasible approach to induce effective, adaptive pedagogical strategies by using a relatively small training corpus. Moreover, we believe that our approach can be used to develop other adaptive and personalized learning environments.

Original languageEnglish (US)
Title of host publicationUser Modeling, Adaptation, and Personalization - 18th International Conference, UMAP 2010, Proceedings
Pages147-158
Number of pages12
DOIs
StatePublished - Jul 20 2010
Event18th International Conference on User Modeling, Adaptation and Personalization, UMAP 2010 - Big Island, HI, United States
Duration: Jun 20 2010Jun 24 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6075 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other18th International Conference on User Modeling, Adaptation and Personalization, UMAP 2010
CountryUnited States
CityBig Island, HI
Period6/20/106/24/10

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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