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ComprehEnRank: estimating comprehension in classroom by absorbing random walks on a cognitive graph

Published: 02 November 2009 Publication History
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  • Abstract

    This paper develops a graph-theoretic framework for estimating comprehension in classroom. To deal with imprecise data gathered in classroom, we propose multi-step comprehension propagation over a semantic graph. Random walks on the graph measure students' comprehension with probabilities absorbed at student nodes.

    References

    [1]
    S. Baluja, et al. Video suggestion and discovery for youtube: taking random walks through the view graph. In WWW'08.
    [2]
    N. Craswell and M. Szummer. Random walks on the click graph. In SIGIR'07.
    [3]
    J. G. Kemeny and J. L. Snell. Finite Markov Chains. Springer-Verlag, 1983.
    [4]
    P. Serdyukov, H. Rode, and D. Hiemstra. Modeling multi-step relevance propagation for expert finding. In CIKM'08.

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    1. ComprehEnRank: estimating comprehension in classroom by absorbing random walks on a cognitive graph

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      cover image ACM Conferences
      CIKM '09: Proceedings of the 18th ACM conference on Information and knowledge management
      November 2009
      2162 pages
      ISBN:9781605585123
      DOI:10.1145/1645953
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 02 November 2009

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      Author Tags

      1. absorbing markov chain
      2. cognitive modeling
      3. visualizing comprehension

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