Prediction of Learning Abilities Based on a Cross-Modal Evaluation of Non-verbal Mental Attributes Using Video-Game-Like Interfaces

  • Yiannis Laouris
  • Elena Aristodemou
  • Pantelis Makris
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5641)

Abstract

The authors propose the thesis that today’s children immersed in cyberspace need to rely on different skills and mental attributes in order to interact successfully with knowledge. It is argued that learning pedagogies as well as corresponding assessment tools must comply with the multi-modality principle. The paper describes a multimodal evaluation of the learning potential and reading/learning abilities of young children’s brains. The method is based on the assessment of non-verbal abilities using video-game-like interfaces. The results show that the ability to orientate and navigate, to sequence or categorize objects or events, as well as to discriminate visual and auditory stimuli and the short-term visual and auditory memory can predict reading and learning abilities. Moreover, the combined assessment of several independent modalities significantly increases the predictive power.

Keywords

Cognitive profile multimodal neuroscience instructional design navigation categorization sequencing lateralization auditory-visual discrimination computer assessment complex system video game 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Yiannis Laouris
    • 1
  • Elena Aristodemou
    • 1
  • Pantelis Makris
    • 1
    • 2
  1. 1.Cyprus Neuroscience & Technology InstituteNicosiaCyprus
  2. 2.Ministry of EducationNicosiaCyprus

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