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Multiple Intelligence and Cognition

Intelligence makes us humans. But people are different. Some are more intelligent and some are less intelligent. Some are good in language related tasks while some are good in mathematics and visuo-spatial tasks. 

Multiple Intelligence Theory supports this view and suggests that individuals have potential in at least eight following intelligence domains:

1. Linguistic

2. Logical-reasoning

3. Musical

4. Spatial 

5. Naturalist 

6. Bodily-kinesthetic

7. Intra-personal 

8. Interpersonal  

In my research I primarily ask following questions: 

  1.  What are the characteristics of different intelligence domains?

  2. Do individuals with high intelligence process information differently than individuals with low intelligence in different domains?

  3. How to distinguish high intelligent individuals from low intelligent individuals? 

  4. What are the alternative measures to distinguish between high intelligent and low intelligent individuals in different intelligence domains? 

Research findings 

  1. Different intelligent domains have different processing patterns. For example linguistic tasks require algorithmic processing while visuo-spatial tasks require fluid intelligence and non-algorithmic processing. 

  2. High and low intelligent individuals process information differently in different intelligence domains. 

  3. High intelligent individuals modulate their cognitive resource allocation patterns according to task demands but low intelligent individuals fail to do so. 

  4. It is possible to distinguish between high and low intelligent individuals by analysing their change in pupil size, blink rate, heart-rate and EEG signals.

 

Research Methods:

  1. Behavioural studies (Response time, Ratings, etc)

  2. Pupillometry studies 

  3. Blink rate analysis 

  4. Heart rate analysis 

  5. EEG signals (coherence, PLV analysis) 

1. Coherence map for Visuo-spatial tasks 

2. Coherence map for Linguistic tasks

Figure 1. Difference between high and low intelligent individuals brain signals during (1) visuo-spatial and (2) linguistic tasks. Results from EEG coherence analysis. 

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Copyright Amitash Ojha

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