Scalable Behavioral Ranges, Scalar Differential Equations
In Behavioral Science, oppositional differentials maps are the norm. The counselor will start with troublesome areas that the patient is experiencing, then map out options from there to provide a better range of freedom, and at scale, a better state of well being. So the question at hand is: can this mapping be used to advance students in more accurate proficiency/competency range(s)?
Historically, simplex to complex scales. So what does that mean? Just as early eras of humans had more simpler, narrower sets, so do individual lifespans. A child starts out with a minimal set of tools, and evolves more complex sets. Imagine 7 humans living in a cave, with bare essentials for survival, and evolve to 7 billion living and surviving~thriving (see: oppositional differential sets above) today. Now imagine that each individual as a range of narrow-to-broad spacetime (narrow~broad 'behavioral range'). Add the heavy lean toward many-to-one education in most public schools, and do the results in this fundamental equation eventually get too narrow? How long can we entrench early development into narrower sets, and expect different results?
The field of #genomics is an evolved stage of genetics. Campaigns like AncestryDNA are revealing inherited competencies as a norm now. The field of #bioinformatics is reaching new heights in disseminating data commutative (overlapping) to genomics. These fields can be integrated with #edtech with more and more accuracy.
Now ask yourself an honest and open question: would I rather have future generations with narrower behavioral ranges, or broader? Can ranges of inherent competencies be evolved with more accurate curriculum, so adult stages have more choice? How can I help integrate this burgeoning field into my system?
