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Toward Clarifying Human Information Processing by Analyzing Big Data: Making Criteria for Individual Traits in Digital Society

In: Strategy and Behaviors in the Digital Economy

Author

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  • Keiko Tsujioka

Abstract

The purpose of this research is to solve those problems in education by indicating criteria for individual differences of cognitive mechanism when students interact using digital devices so that teachers would be able to instruct students with appropriate teaching strategies in collaborative learning. From the results of experiments for clarifying information processing by analyzing students' various data (Big Data processing), there was a tendency of an interaction comparing students' performance with the first and the second semesters between visual type and auditory type.

Suggested Citation

  • Keiko Tsujioka, 2020. "Toward Clarifying Human Information Processing by Analyzing Big Data: Making Criteria for Individual Traits in Digital Society," Chapters, in: Beatrice Orlando (ed.), Strategy and Behaviors in the Digital Economy, IntechOpen.
    • Handle: RePEc:ito:pchaps:181570
    DOI: 10.5772/intechopen.86037
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    More about this item

    Keywords

    individual differences; human information processing; criteria; cognitive schemas; decision-making; personality; prediction of behavior;
    All these keywords.

    JEL classification:

    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

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