Qian
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Post by Qian on Mar 20, 2016 2:29:55 GMT
The Author and the ContextsRobert Allen Bjork is a professor in Psychology at UCLA. He is the Chair of the Council of Editors of the American Psychological Association (APA).His research focuses on human learning and memory and on the implications of learning science for instruction and training. He is the creator of the directed forgetting paradigm (forgetting which is initiated by a conscious goal to forget). In 1994 Michael Anderson, Robert Bjork, and Elizabeth Bjork published a paper entitled “Remembering Can Cause Forgetting: Retrieval Dynamics in Long-Term Memory.” The paper presented evidence of the “retrieval-induced forgetting” phenomenon and started a new wave of research enthusiasm on this topic of human memory mechanism. A Quick Summary of the Paper (2011)Bjork describes the human memory system as a symbiosis of forgetting, remembering, and learning. Specifically, forgetting enables learning and focuses remembering; Remembering creates learning and produces forgetting; Learning begets remembering, contributes to forgetting, and enables new learning. (A “new theory of disuse” ). In this article, he argues against traditional mindsets including: - Forgetting being a matter of losing something that was built up;
- Learning being a strictly a positive outcome process;
- Memory as a “use it or lose it” model;
Instead, Bjork argues that conditions that produce forgetting create opportunities for additional learning; and vice versa: preventing forgetting can nullify learning. It is because of: - the interaction of “storage strength” and “retrieval strength”;
- the act of retrieval improves over practices;
- forgetting promotes abstraction;
He detailed many implications of this symbiosis to learning. - The need to introduce “desirable difficulties” / “Retrieval-induced Forgetting” [RIF]
- Providing “contextual interference” during learning;
- Interleaving rather than blocking practice;
- Optimizing induction and abstraction through exposure to multiple exemplars of concepts/categories;
Since This Paper
The theories Bjork presents, esp. retrieval-induced forgetting, have a implications in diverse contexts other than learning and education, from eyewitness memory, social cognition, autobiographical memory, to creative cognition. For example, the study of stereotypes is a classic study of retrieval-induced forgetting: Dunn and Spellman (2003) suggest that the stereotypes people hold systematically influence the particular information they retain, biasing toward forgetting stereotypically inconsistent information. A more complete review of the applications of Bjork’s theories are available here. Discussion Questions- Some of Bjork's arguments are to date controversial. For example, the use of block learning and interval learning. One might argue that blocking provides a sense of fluency while interleaving a sense of confusion and difficulty. Is there any assumption(s) in this paper that you don’t buy? Why?
- [implications for HCI research/Learning Science] There’s a disconnect between our understanding of how memory and learning work and how the education system functions. How can we advance the state of the art in education with respect to traditional notions of the classroom (Prussia Education Model) and more recent approaches taken in HCI (MOOCs, intelligent tutoring systems, etc)? How can a more complex model influence the design of education systems and the tools that instructors use?
- [implications for HCI research/Technical] How can technical HCI support mechanisms that create forgetting while enhance learning (encoding variability, retrieval practice, etc)? For example, can context awareness systems and gadgets enhance a user’s ability to capture environmental cues that would normally only be sampled by a user? In what was can we recreate context for a user when retrieval is necessary at a later time?
- [implications for HCI research/Design] Much research after this paper has observed and deliberated retrieval-induced forgetting phenomenons. Can you think of some successful interventions that take advantages of this phenomenons? i.e. using tests and repetitive recitations (rather than presentations) to enhance learning; manipulating information accessibility to influence users’ impressions, judgments, and decisions?
(This post is written by Qian Yang and Michael Rivera collaboratively.)
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Post by stdang on Mar 21, 2016 17:56:49 GMT
I think there are some interesting ideas that emerge from applying the notions of retrieval induced forgetting to the design of training/learning systems that utilize virtual reality and augmented reality. Augmented reality enables technology to supplement the full cognitive and sensory context with any additional cues during training. These cues can then be manipulated during test or utilization times in order to support more likely retrieval of the appropriate protocol. This can support reduced training times or lower error rates during highly repetitive but semi-complex tasks where small deviations from a single protocol are required, but insufficient attention may lead to a procedural error due to invalid recall.
Likewise, there might be interesting implications for creativity enabling technologies. During learning, spacing and repetition are adjusted such that multiple procedures are learned and recallable and fairly comparable likelihoods. Then during a creative activity, there may be more variability in actual or at least brainstormed solutions. This of course raises design questions about whether this greater divergent ability is desirable in any or all contexts (if it is possible), but it is an interesting avenue to see where further work has looked at creativity training interacting with pedagogy and procedural variability.
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Post by JoselynMcD on Mar 21, 2016 18:36:03 GMT
While I immensely enjoyed the theme of the theme of Bjork's research, I found myself somewhat skeptical about some of the assumptions made by the author. Mainly, I found the assertion that we (society, in general) have an imperative to have accurate models of how we learn, to be somewhat unfounded. Having some experience with social psychology, I am aware that knowing how cognitive biases, methods of persuasion, normative influences, etc. work, doesn't do much to alter the effects of these mechanisms. The examples given, like the inaccurate ability of people to predict their ability to pair words correctly, might be somewhat to blame for me skepticism. The tests used in the studies mentioned in Bjork's paper aren't particularly compelling or relatable.
Having taken computer science classes, where much of the description of how a computer's memory works was related to us as almost a one-to-one with our own brain's memory mechanisms (inaccurately it would seem), I was interested to read Bjork's analysis of the reverse understanding could negatively impact people's perception of their own memory and learning capacities. I wonder if the younger population, one that was raised using computational technologies, might be particularly susceptible to thinking metaphorically and incorrectly about their learning, remembering, and forgetting processes.
Lastly, some of the implications of Bjork's paper are stress inducing, particularly the understanding that the more one memory is retrieved, the stronger it will be and the weaker competing memories could be. While reading this, I considered how eye-witness testimony pointing to one assailant could continuously get strengthened by testimony, while counter-testimonial information might increasingly get weakened. However, my reading of the text wasn't all sour and dour, there was an element of the text regarding the reverse fundamental attribution error, if I may, that I thought was really interesting and should be potentially revelatory. The passage spoke to how we tend to over-emphasize the role of the person in learning and memory retrieval, as opposed to the situational factors that play a considerable role. I think that many people, for a variety of reasons, are type-cast as smart or strong learners (or the opposite) based solely on their ability to retrieve information, when their homelife or situational stress could be playing a role in their ability to perform these functions.
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aato
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Post by aato on Mar 21, 2016 20:24:09 GMT
I really like what Qian and Michael R. note about work that has come after this paper, particularly on stereotype threat. Bjork's model of learning and retrieval implies that stereotype threat inhibits performance by blocking retrieval. In line with this model and before this paper was written, stereotype literature proposed that the mechanism through which performance is inhibited is that thoughts of stereotypes, failure, and worry over performance fill up the working memory and take up the space that would be utilized by information retrieval acts (Quinn & Spencer 2001). This is a different take on 'forgetting' where the information retrieval act is blocked for relevant knowledge, but heightened on negative stereotype-related thoughts.
Intervention literature focuses on inoculating students from stereotype threat in a number of ways. Two methods related to this model of forgetting are stepping in early and preventing harmful stereotypes from forming (e.g., teaching students that intelligence is malleable (Good et al. 2003)) reducing "storage strength" or inducing immediate stereotype-cancelling behaviors (e.g., performing self-affirmation tasks before a test (Martins et al. 2006)) or reducing "retrieval strength". One intervention targets the encoding of stereotyped information so perhaps there is nothing negative to retrieve during high stress moments like standardized tests, while the other operates on the assumption that those thoughts may be retrieved and prevents them from doing so by strengthening the mind against retrieving those thoughts that may conflict with the already retrieved ideas about self worth and ability from affirmation tasks. More recent interventions similarly target the early age at which stereotype and biases are encoded in children (Baron et al. 2014), which I think affirms this model further.
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Post by anhong on Mar 21, 2016 23:09:48 GMT
I really enjoyed this paper on remembering, forgetting, and learning. Following the discussion points about recreating context for a user when retrieval is necessary at a later time, I think this is the broader sense of affordances. The knowledge of how to open a door is not stored in our head, but instead, stored in the affordance of the door. When designing context aware systems, we can figure out the information people are trying to retrieve at certain context, and either store that information to direct present to the user when needed, or use context cues to help the user retrieve that information.
Another point I find interesting is abstraction and forgetting. This is one part that human is still much better than machine learning systems. We can learn the high-level abstraction not with a million data points, but with very few exemplars. By forgetting the specific example of solution, we got to learn more important problem solving skills. Some of these are used in deep learning systems, like LSTM uses forget gate and surprisingly performs much better. I believe to achieve real AI, more and more of human cognition theories will need to be applied into the design of AI system, even from the lowest level of computation units.
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Post by mmadaio on Mar 22, 2016 0:22:23 GMT
Very interesting, although, as Joselyn pointed out, it leaves me feeling a little stressed. Now I'm desperately trying to retrieve all of my memories that I think are on the verge of long-term storage or forgetting, and wondering which particular contextual factors might be most salient in retrieving my current experiences as memories in the future.
On a more serious note, for education, it's less clear after reading this if stimulating recall in and of itself is desirable, or if we should be fostering a habit of mind that can enable contextually appropriate recall-on-demand. As discussed in the Ritter paper, some of the findings here about "desirable difficulty" as beneficial in learning seem at odds with the values expressed in our education system. While using tests as learning events to encourage retrieval seems like it would be beneficial, the long-term impact on students' motivation could be severe if these tests are high-stakes and high-stress, with consequences for the students' or teachers' future.
I'm also intrigued at what a version of this would look like for my file management system on my computer, or for someone's personal journals. If the articles one returns to more often, or the pages of their journal they re-read could be "strengthened" in some way, while the others could fade, if that would help reveal patterns of reflection in a way that the current non-"forgetting" method of data storage would not. An open question is whether they should still be accessible to explicit querying, once faded, in the way that our own memories are not.
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Post by jseering on Mar 22, 2016 0:47:23 GMT
+1 to mmadaio's comments about conflicting purposes of testing in the US education system.
On a somewhat sadder note, the retrieval framework helps us understand why trauma can be so terrible for people; the tendency to replay an embarrassing, sad, or traumatic memory over and over prevents it from fading away. This is similar to what Joselyn wrote about in the courtroom example, but instead of creating shared (potentially false) memories, we're talking about continued impact of negative ones on a person.
I'm also somewhat interested in generational differences in perception of our own mental processes (such as memory), as Joselyn talked about. Are we more likely to view ourselves more mechanistically now than young adults fifty years ago? What are the social implications of that?
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Post by francesx on Mar 22, 2016 1:04:37 GMT
Am I allowed to say I don't like this? And I don't agree with it? I don't think I had to forget my native language to learn English, or forget 3D geometry to learn how to program. To the author, how much forgetting counts as forgetting? Is abstracting knowledge the right way to go (and then we wonder why transfer does not work)? Do you really want to forget that time you touched the stove how and hot it was?
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Post by judithodili on Mar 22, 2016 1:30:54 GMT
I'm currently reading a book called "Make it Stick" by Peter Brown. It pretty much looks into the all the published literature of how people learn. One of the concepts that stood out the most to me is, if you want people to truly learn something, contextualize it by attaching it to something they already know in the past. For example, if you are trying to teach someone about gravity, tell them that the thing that pulls people to the ground when you jump down from a mango tree (don't judge, that's how my Nigerian teacher taught me) is gravity. That way, you build a system of connecting things to each other, which greatly enhances retrieval.
With regards to the paper, I'm with Bjork on being against the idea of learning as a positive only outcome. I'm just not entirely convinced that it is necessary for people to design mechanisms that prevent them from forgetting. There are some things that it is just not worth my time storing/remembering, and others where it is critical. I cannot imagine a time where computers will not be available to assist humans with retrieval of things like phone numbers and addresses (which in my opinion, it is better at). I'm also not entirely convinced that forgetting enhances abstraction, maybe I do these things subconsciously, but I would assume that it makes abstraction worse?
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nhahn
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Post by nhahn on Mar 22, 2016 1:58:02 GMT
I agree with both Judy and Anhong about looking at the benefits of forgetting, rather than assuming that technology should help us resolve the drawbacks. Though not mentioned in this article, there is fairly popular concept of memory consolidation during sleep. It's been hypothesized that during sleep, memories from throughout the day are consolidated into a deeper, more fundamental understanding (and thus induce some forgetting). It has been shown in a few studies that learning is higher after sleeping vs just waiting without sleeping (although there are stress considerations not fully resolved). How the abstraction is formed by memory in memory is somewhat questionable -- is it something automatically accomplished, or is it more like a rule that was learned during the experience that is recalled more frequently (thus has a higher future recall rate)?
I think, for computing systems, leveraging forgetting could possibly be advantageous. Like Anhong mentioned, an ML algorithms that doesn't downweight outliers would be somewhat terrible (and most when performing error reduction do heavily downweight outliers). However, could this extend further into IR systems (aka Google). For example, is it necessary for us to see information from 10 years ago on Google? Is relevancy ranking with time as a component essential? I think a really awesome future would be search engines that perform some type of automatic consolidation for us -- older pieces of information that aren't referred to frequently are downweighted as more irrelevant, however older pieces of information that are mentioned heavily would bubble up to the top due to frequent recall of those pieces of information.
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toby
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Post by toby on Mar 22, 2016 2:04:52 GMT
I also find the concept of "desirable difficulties" to be very interesting. However, to add to Michael M's point on exams, I feel the high-stakes and high-stress nature of exam does not necessarily have a negative impact on the students' motivation, as they also get extra sense of achievement on surviving/acing the exams.
To add to Francesca's point, I don't think the authors mean that we'll have to forget 3D geometry to learn how to program. But I do hope the authors can give a more clear description and definition on when will forgetting actually promote learning and in what situation will preventing forgetting nullify learning.
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k
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Post by k on Mar 22, 2016 2:17:54 GMT
I find the lack of argument at the beginning of this paper frustrating. While the paper pieces together a set of arguments and related studies, there is a lack of strong evidence or consideration of counterarguments. Why should we think this model of storage and retrieval appropriate? The metaphor likens the brain to a computer with little evidence that this is a good approach to thinking through problems of memory and learning. While the author reflects on the fact that the network of relations supporting conceptual development provides a far more complicated picture than the one discussed, this is provided as an afterthought to a broadly depicted view.
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Post by xiangchen on Mar 22, 2016 2:22:13 GMT
Some of Bjork's claims are indeed a bit controversial. At times, it almost seems it could go either way. He mentioned a study in which students studying twice in different contexts performed better than those both in the same context. But isn't it possible that some learning might have been associated to the context and returning to the same context could promote recall? The triangular relationship between learning, remembering and forgetting, in my opinion, is probably not governed by a fixed equation. My hypothesis is such relationship has a fair amount of uncertainty. For example, forgetting can enable learning, and can also hinder learning, as it is also dependent on the individuals, and affected by other factors.
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Post by fannie on Mar 22, 2016 2:54:55 GMT
I appreciated the discussion on learning vs just memorizing things in the paper, and the emphasis on learning that isn’t reflected so much in education. For instance, I remember really silly competitions in school where kids were rewarded and considered smart for how many digits in Pi they could remember. In regards to computing systems, nowadays people search for answers on Google for everything, so I wonder to what extent learning is involved when you can always retrieve that information again outside of your internal storage (so forgetting but not storing). Search engines have cues to some extent, where you can see what you’ve searched for before and what other people have searched for, so I wonder how these compare to (or add to?) the environmental cues that the authors discuss that affect remembering/learning.
I was also curious about what the authors said about better learning when there are different environmental contexts. I’ve been told before that it’s best to take tests where you have the class so you can remember things more. But according to this, is it better to have class change classroom locations every so often, or study in a variety of places? Probably unrelated, but this reminds me of the hot-desking culture that’s around in some workplaces these days and I wonder about learning in that context too.
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Post by Brandon on Mar 22, 2016 3:12:57 GMT
This paper immediately made me think of a discussion I had with someone (can't remember who) about why Duolingo doesn't seem to really teach me much. When you're going through a module there, many of the questions are reformulations of themselves (one will present a phrase written in Spanish, another will present the same phrase in English). So I think I get good at keeping the module's phrases in my short-term memory and don't *learn* as well as I might with a little more thought required. Similarly, when you get an error, the answer is presented and the exact question will be recycled in the set, so you can just remember the answer and not need to retrieve the info from long term memory.
Seems like there would be some fairly simple modifications to that interface that might bring a language learning app more inline with the literature on learning. It'd probably be an interested data set to test some of these theories at scale, as well.
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