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Mexican International Conference on Artificial Intelligence

MICAI 2010: Advances in Artificial Intelligence pp 175–186Cite as

Semantic Representation and Management of Student Models: An Approach to Adapt Lecture Sequencing to Enhance Learning

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6437))

Abstract

In this paper an approach oriented to acquire, depict, and administrate knowledge about the student is proposed. Moreover, content is also characterized to describe lectures. In addition, the work focuses on the semantics of the attributes that reveal a profile of the student and the teaching experiences. The meaning of such properties is stated as an ontology. Thus, inheritance and causal inferences are made. According to the semantics of the attributes and the conclusions induced, the sequencing module of a Web-based educational system (WBES) delivers the appropriate option of lecture to students. The underlying hypothesis is: the apprenticeship of students is enhanced when a WBES understands the nature of the content and the student’s characteristics. Based on the empirical evidence outcome by a trial, it is concluded that: Successful WBES account the knowledge that describe their students and lectures.

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Author information

Authors and Affiliations

  1. WOLNM, 31 Julio 1859 # 1099B Leyes Reforma, DF, 09310, Mexico

    Alejandro Peña Ayala

  2. ESIME-Z-IPN, 31 Julio 1859 # 1099B Leyes Reforma, DF, 09310, Mexico

    Alejandro Peña Ayala

  3. CIC-IPN, 31 Julio 1859 # 1099B Leyes Reforma, DF, 09310, Mexico

    Alejandro Peña Ayala & Humbero Sossa

  4. Osaka University, 31 Julio 1859 # 1099B Leyes Reforma, DF, 09310, Mexico

    Alejandro Peña Ayala

Authors
  1. Alejandro Peña Ayala
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  2. Humbero Sossa
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Editor information

Editors and Affiliations

  1. Instituto Politécnico Nacional, Centro de Investigación en Computación, Av. Juan Dios Batiz, s/n, Zacatenco, 07738, Mexico City, México

    Grigori Sidorov

  2. Area de Computación, Centro de Investigación en Matemáticas (CIMAT), Callejón de Jalisco s/n, Mineral de Valenciana, 36240, Guanajuato, México

    Arturo Hernández Aguirre

  3. Instituto Nacional de Astrofísica, Optica y Electrónica (INAOE), Ciencias Computacionales, Luis Enrique Erro No. 1, 72840, Santa María Tonantzintla, Puebla,, México

    Carlos Alberto Reyes García

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Peña Ayala, A., Sossa, H. (2010). Semantic Representation and Management of Student Models: An Approach to Adapt Lecture Sequencing to Enhance Learning. In: Sidorov, G., Hernández Aguirre, A., Reyes García, C.A. (eds) Advances in Artificial Intelligence. MICAI 2010. Lecture Notes in Computer Science(), vol 6437. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16761-4_16

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  • DOI: https://doi.org/10.1007/978-3-642-16761-4_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16760-7

  • Online ISBN: 978-3-642-16761-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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