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S-Curve + Delay for Bell Curve by Guy Lakeman

Guy Lakeman
​S-Curve + Delay for Bell Curve Showing Erlang Distribution
Generation of Bell Curve from Initial Market through Delay in Pickup of Customers
This provides the beginning of an Erlang distribution model

The Erlang distribution is a two parameter family of continuous probability distributions with support . The two parameters are:

  • a positive integer 'shape' 
  • a positive real 'rate' ; sometimes the scale , the inverse of the rate is used.

MATHS Statistics Physics Science Ecology Climate Weather Intelligence Education Probability Density Function Normal Bell Curve Gaussian Distribution Democracy Voting Politics Policy Erlang

  • 7 months 2 weeks ago

Version 8B with story: Calibrated Student-Home-Teachers-Classroom-LEA-Spending

Yolande Tra
This version 8B of the CAPABILITY DEMONSTRATION model. A net Benefit ROI has been added. The Compare results feature allows comparison of alternative intervention portfolios.  Note that the net causal interactions have been effectively captured in a very scoped and/or simplified format.  Relative magnitudes and durations of impact remain in need of further data & adjustment (calibration). In the interests of maintaining steady progress and respecting budget & time constraints, significant simplifying assumptions have been made: assumptions that mitigate both completeness & accuracy of the outputs.  This model meets the criteria for a Capability demonstration model, but should not be taken as complete or realistic in terms of specific magnitudes of effect or sufficient build out of causal dynamics.  Rather, the model demonstrates the interplay of a minimum set of causal forces on a net student progress construct -- as informed and extrapolated from the non-causal research literature. Provided further interest and funding, this  basic capability model may further developed and built out to: higher provenance levels -- coupled with increased factorization, rigorous causal inclusion and improved parameterization.

Education Policy Causal Dynamic Intervention Impact

  • 3 years 6 months ago

Active Learning Spaces - GC3 17 May 18

Jeff Klemens
Model presented by Jeff Klemens at GC3 conference, Cincinnati,  OH on May 15th 2018 as part of keynote address "Active learning spaces as a catalyst for institution-wide change in teaching and learning"
Feel free to clone and modify this model, but please share your modifications and discoveries with me! I can be contacted via my university homepage:  


  • 2 years 5 months ago

How tutors help the learner causal loop


This paints a broad picture for my non-profit of how tutoring helps disadvantaged youth and, with the right jump-start from a caring individual (R1 point), how learning can get learning and skill begets further skill. I appreciate any feedback to modifications because they might shape program direction.

Future iterations will show the low skilled isolated individual gets stuck in a cycle of "no-growth." I would also like to explore the dynamics of how the learner reduces dependence on the tutor.

Causal Loop Learning Education Nonprofit

  • 7 years 1 month ago

Low SES children influence

Abhishek Bajaj
This insight aims to see the influence a child faces, and especially those that affect his/ her academic results.
The main focus here was in understanding the influence parenting behaviours, and peer influences play in a child's life. 

Children Education

  • 5 years 2 months ago