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Post by Felicia Ng on Mar 22, 2016 3:28:20 GMT
"...human memory is characterized by a storage capacity that is essentially unlimited, coupled with a retrieval capacity that is severely limited."
I don't buy that. "Even the most overlearned information... becomes nonrecallable after a long enough period of disuse- but remains in memory." How can you make this claim? How is it possible to prove that something remains in memory if it can't be recalled? I buy some of the later arguments about how, contrary to intuitive or popular belief, forgetting is sometimes good and learning is sometimes bad, but I'm very unamused at how the authors set up their argument in the beginning with this assumption that has no evidence to back it up. In fact, it's not even a testable or falsifiable claim.
It's ok Franceska- I also didn't like this.
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Post by Anna on Mar 22, 2016 3:44:56 GMT
When I read the first paragraph's promise that "Conditions that produce forgetting often enable additional learning" and "learning and recalling some things is a contributor to the forgetting of other things" I had two initial thoughts: 1) Great, so maybe I don't have early onset dementia, but am actually just learning so much from life in the past 5 years that it just seems like I have early onset dementia and 2) I'm pretty sure this is not actually going to be what this paper is about, but I'm also pretty sure that this is still going to be my main takeaway from this paper.
The latter statement in #2 turned out to be true, so I think my thoughts/experiences provide evidence for the authors' points about memory and forgetting. But to be honest I'm not sure, because I could only focus on my initial takeaway. (And really, I'm less than half joking here).
Another positive takeaway I got from this paper: when we forget things, we can relearn them very efficiently. I suppose we ought to know this from experience (aka I'd assume if most of us took a pop quiz on some specific high school subject matter, we might not do great, but a quick review and we could relearn what we had forgotten). But it's nice to hear that there's some official scientific evidence for it. Because sometimes I feel I've forgotten everything I ever learned.
Also, to speak to Joseph's point: I was actually thinking while reading this that perhaps a specific therapy of retrieval-induced forgetting could be beneficial to, say, PTSD patients. But a quick Google scholar search suggests there is not research out there to support this conjecture. I suppose it would be exceedingly difficult to make that work in practice.
Also, to Fannie's side not about studying in different rooms: I do remember reading several years ago-- likely from some very reputable online source-- that it is helpful to test performance (or something in that vein) to vary the location where you study/work.
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Post by julian on Mar 22, 2016 4:59:54 GMT
I like Francheska's point of view however I do not think it is as easy as to say that Bjork is plainly wrong. Certainly, not everything is forgotten or abstracted through the same mechanisms or for the same reasons.
Felicia mentioned that does not buy the next claim: "...human memory is characterized by a storage capacity that is essentially unlimited, coupled with a retrieval capacity that is severely limited." . However this made me think of dissociative amnesia more specifically repressed memories which is an inability to recall information related to traumatic events so that one is true. However, related with the unlimited storage capacity, apparently there is no documented adult cases on this according to wiki although kids up to 6 years old can have some eidetic memory.
I can see how really there is an interplay between learning and forgetting and how really both are necessary for life. Now about how can we use this in HCI? I guess it could be a way to think about learning as forgetting something else, as for example maybe learning a healthy habit means forgetting about doing some unhealthy activity. For example may be learning to run every day is about forgetting how much effort it takes and instead remembering how good it is in the long term and the many benefits it has in the short term.
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Post by rushil on Mar 22, 2016 8:17:51 GMT
I was wondering, how does photographic or partial photographic memory works then? What part of the brain or the described model works differently to produce the effect of never forgetting?
Also, I think Franceska raised a good point about how much forgetting counts as forgetting? I don't remember a lot of algebraic formulas from advanced Mathematics, but it doesn't mean that I have forgotten the concepts. This relates to the discussion about forgetting promoting abstraction, but again -- the question is what level of abstraction are we talking about? I remember, the concepts and in this particular scenario, they become the abstraction that was promoted by the forgetting of formulas, but what determines the appropriate level of abstraction? These are some of the missing elements in the paper that make it a bit hard to digest.
Also, adding to the ongoing education discussion, someone pointed out the fallacies in Duolingo, which make sense within the framework created around this paper. However, it's still very popular and has helped a lot of people do long term language learning. What explains that phenomenon?
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Post by nickpdiana on Mar 22, 2016 11:40:32 GMT
Something I've never realized about the inhibition disuse hypothesis is how efficient it is. Imagine if computers had the same information retrieval system. That is, every time you wanted to access a file, you (or the computer) had to inhibit the access of every other (related) file. Sort of like what already happens to me when trying to find my most recent resume in my "Resumes2008-" folder. Anyway, a problem becomes obvious: as you increase the data, the time it takes to find the relevant piece increases (because there is more to inhibit). But in our brains, each time we inhibit a memory that memory is less likely to need to be inhibited in the future. It's not perfect (older people think more slowly because they have "fuller hard drives"), but imagine if we didn't have a mechanism like that.
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Post by xuwang on Mar 23, 2016 23:04:31 GMT
I think although the argument proposed in this paper "forgetting contributes to learning" is counterintuitive, the two explanations they gave were consistent with our understanding of learning. For example, if we learnt a math equation, and later we were asked to recall the math equation, if we have other environmental cues to recall the equation very easily, then we spent little effort in this retrieval practice, which didn't result in additional learning; however, if we don't have as many environmental cues, or we have completely forgotten how the equation looks like, we'll need to think of other ways, for example to retrieve information about how the equation was deducted, and this retrieval practice obviously resulted in more learning, and would be helpful for our future retrieval practice. So I think the two explanations they gave, including the encoding variability, and retrieval practice are consistent with each other in some ways. One thing that has been discussed in previous posts is about "learning" vs. "memorizing", i agree that the tasks that they presented in this paper were more like memorization tasks, in which participants are required to memorize a word pair, etc. i think in simpler tasks, additional cues might help with memorization, but for more complicated tasks, such as solving a math or programming problem, the efforts they spent in reasoning about the process, or the efforts they spent in retrieving the information would result in learning. This has been applied in some education practices in terms of the assessment we're using. We're not using only multiple choice questions for exams, there are more open-ended questions where students are required to articulate their reasoning, which is helpful to examine the cognitive processes of the students. In the cognitive tutor paper, we also see that the evaluation of cognitive tutors is not only using high-stake exams, but also using some performance-based tasks. And I think it would also be interesting to see similar experiments but using more complicated tasks to see whether they could generate similar results. And my takeaway from the paper isn't along the line of whether we should use block learning or interval learning, I don't think that's the core effects. I'll be more inclined to think along the line of how we can design the learning process to provide more cues that are conducive to learning, and how we can design the learning process to help students experience the retrieval practice more effectively before forgetting.
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