1. Cognitive Constraints in Students’ Performance: Analysis and Tentative Solution Dr Sanjoy Sanyal Associate Professor Seychelles 2006 Presented at a staff seminar in a medical college in Seychelles in 2006
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9. Information overload From Rudolph Hanka, University of Cambridge 10 14 synapses Connectivity formula n(n-1)/2 Skull capacity = 400 cc to 1400 cc over 5 mill years But no change over several thousand years Doubling x 3 mill yrs Doubling x 1.5 mill yrs 10 11 neurons 5 x 10 21 synapses
10. Information overload From Rudolph Hanka, University of Cambridge Logarithmic scale Information doubling every 33 years 1 st century 2 0 ->2 1 -> 2 2 -> 2 3 2 nd century -> 2 4 -> 2 5 -> 2 6
11. Information overload From Rudolph Hanka, University of Cambridge No change in Information doubling every 33 years over several 1000 years
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14. Depth vs. width trade-off IC IC IC IC IC IC IC IC “ We are learning more and more of less and less; One day we would know everything about nothing” Leo Ves Now
25. Learning curve Adapted from Wikipedia Exponential decay Plot shows decay for decay constants of 25, 5, 1, 1/5, and 1/25. Large decay constants make the quantity vanish almost immediately; smaller decay constants lead to almost-imperceptible decrease. Rate of decrease of ‘time taken’ or ‘effort required’ with each iteration
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27. Learning styles and cognition Adapted from JISC, UK Adapted from Bendigo Senior Secondary College, Aus