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Ah - PERFECT! That's EXACTLY what I was after and it works GREAT! Thank you very much!
OK - thanks. I feel like I'm getting somewhere, except I'm not familiar or have forgotten the notation. I don't know what e & t represent, and I don't know what you mean by "rate constant." Sorry.
Ah, well, I don't - know that it's a hyperbola. What I'm really after is an approximation (key word) of productivity, given that learning "appears" to be complete after a certain duration. And I'll assume that, say, 95% learning equates to "trained" and that more learning happens over time, but resulting in a negligible increase in productivity. I've looked at write-ups for learning curves but they all seem to be based on tracking the number of units completed (say, per day) and this problem is more subjective, a qualitative measurement rather than a quantitative one.
Make sense? It's just something that got stuck in my craw and I can't seem to let go of it. I'd really appreciate it if you can put me in the ballpark.
I'm trying to derive a learning curve formula, using the x-axis for elapsed time and the y-axis for the percent of acquired knowledge/skill. Assuming the curve begins at 0,0 and the estimate of learning reaches 95% after n units of time, what would the formula be for this linear function? (The asymptote would have a y value of 1.) I'd really appreciate your help because I've forgotten if this is even enough information to write the formula. I want to assume that the learner never actually reaches 100% but keeps getting closer to it over time.
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