Toward Clarifying Human Information Processing: A Case Study of Big Data Analysis in Education

  • Keiko TsujiokaEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 903)


Our purpose of this paper is to make language processing more clearly by finding out differentiation among individual traits, depending on various kinds of materials, such as context (emotional and nonemotional) and media (sound voice and text). We have carried out comparative experiments, using questionnaires of personality testing and measured the decision time of ninety-eight female university students. The result of those data analysis has shown that the members of Type X have sustained learning more effectively than Type Y ones. It is implied that the relationship between higher order and language information processing might be implemented depending on individual differences and diversity of materials. Those views of this study would continuously help teachers to predict students’ behavior and plan their instructions so that they can make teaching and learning effectively.


Human information processing Individual traits Sound voice and text Emotional and non-emotional context Big Data analysis 


  1. 1.
    Yamada, A., Sakai, L.K.: Syntactic processing in Broca’s area: Brodmann areas 44 and 45. Brain Nerve 69(4), 479–487 (2017)Google Scholar
  2. 2.
    Hashimoto, R., Sakai, L.K.: Learning letters in adulthood: direct visualization of cortical plasticity for forming a new link between orthography and phonology. Neuron 42(2), 311–322 (2004)CrossRefGoogle Scholar
  3. 3.
    Buchanan, T.W., et al.: Recognition of emotional prosody and verbal components of spoken language: an fMRI study. Cogn. Brain Res. 9, 227–238 (2000)CrossRefGoogle Scholar
  4. 4.
    Buchanan, T.W., Adolphs, R.: The neuroanatomy of emotional memory in humans. In: Reisberg, D., Hertel, P. (eds.) Memory and Emotion. Oxford University Press (2003)Google Scholar
  5. 5.
    Tsujioka, K.: A study of the impact of audio or visual media on decisions in Japanese: comparing response and reaction times in tasks between emotionality and introversion-extroversion. Osaka University, Ann. Educ. Stud. (16), 33–44 (2011)Google Scholar
  6. 6.
    Baldwin, M.W.: Relational schemas and the processing of social information. Psychol. Bull. 112(3), 461–484 (1992)CrossRefGoogle Scholar
  7. 7.
    A case study of ICT used by big data processing in education: discuss on visualization of RE research paper, pp. 160–164. Association for Computing Machinery (2018)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Institute for Psychological TestingToyonakaJapan

Personalised recommendations