They're better at _dealing_ with variables 14:00. The performance is consistent through situational and positional variance. They know how to vary the technique towards a consistent outcome.
Hello Rob Gray! Thank you so much for all the work you put out on these topics. I am a phd student, who gained a lot of interest in your work. I work on neurorehabilitation, specifically gait, and im wondering how to translate the ideas from the ecological approach to this domain. If you'd be able+willing, could you perhaps discuss the differences in skill acquisition for the purpose of sports vs for the purpose of rehabilitation. Escpecially gait is a tricky subject for me to explore, because its a very repetitive, pattern based motion.
What is the effect of the rate success of tasks in relation to skill acquisition? It seems to me that reducing things to isolated tasks is an attempt to reduce failures and increase successful executions, is there an optimal percentage of successes vs failures that lead to increase in skill over time?
I can’t answer for Dr. Gray, but I can say that at the heart of Ecological Dynamics is that “success” and “failure” on *isolated* practice tasks is entirely different from (and not predictive of) success/failure on the full skill in which the isolated task is supposed to support. Even when the biomechanics of the isolated drill *seem* to reflect the kinematics of what is used in the full skill, it’s… not (because context / complexity, etc.) However, isolated drills CAN be an easy motivator because of the potential for easy “wins.” Training with more complexity takes a different coaching technique compared to traditional training for both physical skill acquisition and the motivation to practice in ways that (sometimes) feel more chaotic.
There are suggestions of 85% for binary classification in neural nets (just Google "The Eighty-Five Percent Rule for optimal learning"). There is continuing work for more motor skill-related things suggesting something like 70% (for the reason that it is not binary classification), but unfortunately, it is not out yet.
They're better at _dealing_ with variables 14:00. The performance is consistent through situational and positional variance. They know how to vary the technique towards a consistent outcome.
Hello Rob Gray!
Thank you so much for all the work you put out on these topics.
I am a phd student, who gained a lot of interest in your work. I work on neurorehabilitation, specifically gait, and im wondering how to translate the ideas from the ecological approach to this domain. If you'd be able+willing, could you perhaps discuss the differences in skill acquisition for the purpose of sports vs for the purpose of rehabilitation. Escpecially gait is a tricky subject for me to explore, because its a very repetitive, pattern based motion.
What is the effect of the rate success of tasks in relation to skill acquisition? It seems to me that reducing things to isolated tasks is an attempt to reduce failures and increase successful executions, is there an optimal percentage of successes vs failures that lead to increase in skill over time?
I can’t answer for Dr. Gray, but I can say that at the heart of Ecological Dynamics is that “success” and “failure” on *isolated* practice tasks is entirely different from (and not predictive of) success/failure on the full skill in which the isolated task is supposed to support. Even when the biomechanics of the isolated drill *seem* to reflect the kinematics of what is used in the full skill, it’s… not (because context / complexity, etc.)
However, isolated drills CAN be an easy motivator because of the potential for easy “wins.” Training with more complexity takes a different coaching technique compared to traditional training for both physical skill acquisition and the motivation to practice in ways that (sometimes) feel more chaotic.
There are suggestions of 85% for binary classification in neural nets (just Google "The Eighty-Five Percent Rule for optimal learning"). There is continuing work for more motor skill-related things suggesting something like 70% (for the reason that it is not binary classification), but unfortunately, it is not out yet.