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

Keiko Tsujioka

A chapter in Strategy and Behaviors in the Digital Economy from IntechOpen

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.

Keywords: individual differences; human information processing; criteria; cognitive schemas; decision-making; personality; prediction of behavior (search for similar items in EconPapers)
JEL-codes: M21 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:ito:pchaps:181570

DOI: 10.5772/intechopen.86037

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