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A Conceptual Framework Over Contextual Analysis of Concept Learning Within Human-Machine Interplays

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Emerging Technologies for Education (SETE 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10108))

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Abstract

This research provides a contextual description concerning existential and structural analysis of ‘Relations’ between human beings and machines. Subsequently, it will focus on conceptual and epistemological analysis of (i) my own semantics-based framework [for human meaning construction] and of (ii) a well-structured machine concept learning framework. Accordingly, I will, semantically and epistemologically, focus on linking those two frameworks for logical analysis of concept learning in the context of human-machine interrelationships. It will be demonstrated that the proposed framework provides a supportive structure over the described contextualisation of ‘relations’ between human beings and machines within concept learning processes.

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Notes

  1. 1.

    See http://www.oxforddictionaries.com/definition/english/hypothesis.

  2. 2.

    Semantics is the study of the meanings, and the relation of signs to the objects to which the signs are applicable. In formal languages semantics is the study and analysis of the meanings of symbols and signifiers. Semantics focuses on the relationships between the signifiers of any language. In fact, the formal semantics employs the products of the human beings’ interpretations in order to produce meanings.

  3. 3.

    www.w3.org/2001/sw/wiki/OWL.

  4. 4.

    www.w3.org/wiki/SparqlEndpoints.

  5. 5.

    www.w3.org/standards/semanticweb/data.

  6. 6.

    http://dl-learner.org/development/architecture/.

  7. 7.

    See http://plato.stanford.edu/entries/schema/ and http://global.britannica.com/topic/schema-cognitive.

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Author information

Authors and Affiliations

  1. Center for Linguistics, Aalborg University, Rendsburggade 14, 9000, Aalborg, Denmark

    Farshad Badie

Authors
  1. Farshad Badie
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Corresponding author

Correspondence to Farshad Badie .

Editor information

Editors and Affiliations

  1. National Yunlin University of Science and Technology, Yunlin, Taiwan

    Ting-Ting Wu

  2. Free University of Bozen-Bolzano, Rome, Italy

    Rosella Gennari

  3. National Cheng-Kung University, Tainan, Taiwan

    Yueh-Min Huang

  4. The Education University of Hong Kong, Hong Kong, Hong Kong

    Haoran Xie

  5. MC Information Multimedia Communication AG, Saarbrücken, Germany

    Yiwei Cao

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Badie, F. (2017). A Conceptual Framework Over Contextual Analysis of Concept Learning Within Human-Machine Interplays. In: Wu, TT., Gennari, R., Huang, YM., Xie, H., Cao, Y. (eds) Emerging Technologies for Education. SETE 2016. Lecture Notes in Computer Science(), vol 10108. Springer, Cham. https://doi.org/10.1007/978-3-319-52836-6_9

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  • DOI: https://doi.org/10.1007/978-3-319-52836-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52835-9

  • Online ISBN: 978-3-319-52836-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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