A little back I was reminded of Ebbinghaus’s Forgetting Curve, to be clear I had not actually forgotten about it, I just had not thought about it for a while. Ebbinghaus was I assume a barrel of laughs and spend some time trying to memorise lists of syllables, in meaningless three letter blocks. Such as below, (look at them closely there may be a test later.
BFM, DTK, RLV, WJP, XKC, QVC, ZQH
What he found was that despite trying to learn they very quickly forgot these trigrams. From this Ebbinghaus inferred somethings about how quickly we forget data and developed the Ebbinghaus Forgetting Curve.
For the scientifically minded Ebbinghaus’ discovery is now defined and described with this equation:
R = e^(-t/s)
In this formula, "R" is a measure of how readily you can recall something, "s" is the “strength” of your memory, "t" is the amount of time that has passed, and "e" is the magical Euler’s number, a mathematical constant.
People like me, Instructional Designers, and others in the world of learning, constantly battle with the Forgetting Curve, after all how can we make change if most people forget most of what we tell them almost immediately?
Well Ebbinghaus was not finished, have identified this information retention problem, he set about finding a solution. After further research Ebbinghaus discovered that by revisiting the information at intervals more of the data was recalled.
In our equation above, repeating and reviewing information increases the strength of the memory, leading the downward slope of R to become more gradual.
Thus, was born “spaced repetition”, which has gone on to become a key learning strategy. The advent of information technology made this strategy easier to deliver, increasingly AI is being deployed deliver “personalised” learning reinforcement, whole businesses now exist primarily to combat Ebbinghaus’s Forgetting Curve.
So why do I suggest we should forget all this?
At the top of this page there were six three letter groups, without looking can you recall any of them?
Now given I didn’t really ask you to learn them I don’t have high hopes, however I would suggest that the one most people, at least in the UK & US, will recall is the second to last one. Why?
Well the second to last one is synonymous with the name of a TV shopping channel, a channel sufficiently well known that even people who haven’t watched it are aware of it and have feelings about it, often quite negative feelings.
This knowledge and reaction endow that block of three letters with context and meaning that the others generally lack. Now in this example there are some cultural factors at work, if the national broadcaster in the country where you grew up was DTK, then DTK is the one you would have recalled.
What Ebbinghaus really illustrates is that humans are bad at remembering things that are meaningless to them, additionally he showed that spaced repetition can improve recall of this type of information.
My question is are we using spaced repetition as a hammer to drive home the blunt nails of meaningless information?
Might we better serve our audience by finding ways to make the information meaningful? Failing that identify do they really need to know this? If not, can we make the information available at point of need? If yes, revisit the question of meaning, can we create an experience that gives meaning to the data? Do not get me wrong, I like spaced repetition and believe it has a role in learning, it is a powerful tool in our armoury, one that should be used responsibly.