Carl Hendrick Profile picture
Sep 21 11 tweets 5 min read Read on X
Seeing a lot of schools mandating retrieval practice in every lesson but also seeing quite a few misconceptions. A quick thread: 10 ways to get retrieval practice wrong ⬇️ 🧵
1. Not providing enough challenge, especially initially: Giving quizzes, where the first retrieval is very soon after learning, can create the "illusion of competence" where students recall easily on that first attempt, but later performance suffers. The initial retrieval needs to be sufficiently challenging to be effective.

Easy retrieval often involves retrieving information based on superficial cues or associations, rather than engaging in deeper, more elaborative processing. This type of shallow processing can lead to memories that are fragile and easily forgotten.

When retrieval is effortless, the brain doesn't need to work as hard to retrieve the information. Evidence suggests that this lack of effortful retrieval can result in weaker encoding of the memory trace, making it less durable over time.
2. Familiarity is not the same as understanding: Similarly, retrieval practice can lead to fluency, but fluency doesn't always equate to understanding. Teachers should be wary of the "fluency illusion" and use retrieval practice in conjunction with other methods to assess genuine comprehension.
This is similar to how we might recognise a song we've heard many times without necessarily understanding the lyrics or the musical structure. Recognising that a problem us a quadratic equation is not the same as being able to solve it.

Two keys things to bear in mind:

Shallow Processing: Fluency can be achieved through rote memorization or shallow processing, where students focus on remembering isolated facts or procedures without connecting them to underlying principles or applying them in new contexts.
Context-Dependent Memory: our ability to retrieve information is often influenced by the context in which we learned it. If retrieval practice always occurs in the same context (e.g., using the same type of questions, in the same classroom setting), students may develop a false sense of mastery because the retrieval cues are always present. However, when they encounter the material in a different context (e.g., on an exam, in a real-world application), they may struggle to recall or apply the information.
3. Using retrieval practice primarily as an assessment tool: While retrieval practice can provide valuable information about student learning, its primary purpose should be to enhance learning, not just to measure it. When retrieval practice is used solely for assessment purposes, it can create anxiety and pressure, which can be detrimental to learning, especially if it's high-stakes.

Retrieving information from memory actually strengthens it, making it more likely to be recalled in the future. This highlights the active nature of retrieval practice and its potential to solidify learning.
4. Not spacing retrieval practice: Like initial learning, retrieval practice is most effective when it's spaced out over time. Frequent, short quizzes or retrieval activities over time are more beneficial than a single, lengthy review session right before an exam.

Bjork distinguishes between two types of memory strength: retrieval strength (how easily information can be accessed at a given moment) and storage strength (how well information is consolidated into long-term memory). Spaced retrieval practice strengthens both types of strength. When we retrieve information after a period of forgetting, it's more effortful, and this effortful retrieval leads to greater storage strength, making the memory more durable.

In other words, in order to remember stuff long-term, we need to forget it in the short-term.
5. Not using errors as a learning event: Errors are valuable learning opportunities, and retrieval practice can help uncover them. Rather than simply marking answers as right or wrong, teachers should encourage students to analyze their mistakes and understand why they made them.
The point of retrieval practice is not so much to find out find out what students have learned but to actually be a process of learning in and of itself.
6. Not connecting retrieval practice to curriculum: Retrieval practice should be meaningfully integrated into the curriculum and aligned with learning objectives. Randomly asking students to recall facts without any context or purpose is unlikely to be effective. (Stop getting random kahoots off the internet).

Two main reasons why this is a problem:

- Lack of relevance and meaning: When retrieval practice activities are not clearly linked to the curriculum or learning goals, students may perceive them as irrelevant or busywork. This lack of perceived relevance can decrease motivation and engagement, making it less likely that students will invest effort in the retrieval process, which is essential for its effectiveness.

- Ineffective encoding and retrieval cues: Our memories are not like video recorders; we don't store information in isolation. Instead, we encode information in relation to its context and meaning. When retrieval practice activities lack context or purpose, the retrieval cues are weak, making it more difficult for students to access and make sense of the information.

They key point here is that learning is about making multiple connections between items of knowledge not atomised recall of isolated information.
7. If you haven't taught it, what are they retrieving? While there is some evidence that pre-testing students on content they have not yet encountered can be beneficial, it's easy to get wrong. if students are randomly guessing to 'get the right answer' then this is unlikely to lead to long-term learning.

Also retrieval practice can strengthen existing knowledge, even if inaccurate: When students retrieve information, it strengthens that information's representation in memory. This applies to both accurate and inaccurate knowledge. If students retrieve a misconception during practice, it can solidify that misconception, making it more resistant to change.
8. Using only recognition-based retrieval: While recognition tasks (like multiple-choice questions) can be helpful, relying solely on them can limit the effectiveness of retrieval practice. Free recall (asking students to retrieve information without any cues) and short-answer questions generally require more cognitive effort, leading to greater learning.

There is a continuum of difficulty between recognition and recall: Accessibility of information exists on a spectrum and some information is highly accessible and readily comes to mind (like the capital of one's home state), while other information, though known, requires more effort to retrieve. Recognition tasks, by providing cues, make the retrieval process easier. While this can be helpful for reinforcing learning or assessing recognition of specific facts, it doesn't require the same depth of processing as recall
9. Failing to explicitly teach retrieval strategies: Teachers may assume students inherently know how to effectively use retrieval practice. However, retrieval is a skill that can be improved with instruction and practice. Teachers should explicitly teach students different retrieval strategies. Retrieval practice isn't limited to simple quizzes or flashcards. It encompasses a variety of strategies that require different levels of cognitive processing and can be adapted to different learning goals. Teachers should explicitly introduce students to these various strategies, including:

- Elaboration: elaboration goes beyond simple recall and encourages students to explain concepts in their own words, provide examples, make connections to prior knowledge, and explore relationships between ideas.
- Creating concept maps: Concept maps are visual representations of how different concepts are related to one another. Creating concept maps requires students to actively organize and connect information, leading to a deeper understanding.
10. Creating high-pressure retrieval situations: Retrieval practice is most effective when it's low-stakes and stress-free. High-stakes tests, while sometimes necessary, can trigger anxiety that interferes with retrieval and reduces the learning benefits.

When students consistently associate retrieval practice with high-stakes assessments and the fear of failure, it can create a negative feedback loop. Students may start to avoid challenging tasks or learning opportunities that could lead to errors, hindering their overall academic growth.

Frequent, low-stakes retrieval practice is key. Make retrieval practice a regular and integrated part of instruction, but with low or no stakes attached. By frequently engaging in retrieval practice, students become more comfortable with the process of retrieving information, and it becomes less daunting.

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More from @C_Hendrick

Jul 23
How effective are open-plan classrooms or '21st Century learning spaces'? Is a noisy classroom a 'thinking classroom'? A short thread on why they're a really bad idea 🧵 Image
The idea of open plan classrooms became popular in the 1960s and emerged from a broader concept of 'open education' which included a set of assumptions derived from constructivist thought:https://education.stateuniversity.com/pages/2303/Open-Education.html
At the heart of this movement was idea that physical passivity means cognitive passivity and in order for learning to be active that there needs to be some kind of physical movement. To achieve this meant to do away with more formal learning approaches to a much more informal approach and this meant reworking the spaces in which learning happens.
Another related idea which took root around this time was the idea of learning styles which asserted the notion that learning was highly idiosyncratic and personal to each person and so for 'kinesthetic learners', formal classrooms were not effective. They needed to be moving around in order to learn. These claims were subsequently found to be without any real evidence. aeon.co/essays/the-evi…
Read 18 tweets
May 5
How might teachers and school leaders think about implementing the science of learning in practice?
Some thoughts from my talk at #rEDTO2024 Image
Firstly it's important to say that we still have a large gap between evidence from experimental settings and classroom practice. @TWPerry1's review is a hugely important work and really sets out the limitations of the evidence we actually have.
Where we do have evidence of the science of learning in schools, the interventions are often not done by real teachers in real situations. This is a problem.
#rEDTO2024Image
When we talk about the science of learning , we are talking about a subset of interrelated fields involving neuroscience, cognitive science and education psychology.
For the purposes of what happens in schools, I believe that Mayer's distinction between the three elements of learning, instruction and assessment in "educationally relevant settings" are the most important to focus on:

1. Science of Learning: The first step involves pinpointing the aspects of the science of learning that hold the most relevance to education. Historically, this field focused on how laboratory animals or humans learn in controlled environments, which had limited educational significance. Recent advances, however, have deepened our understanding of learning in educationally relevant settings, paving the way for developing a science of learning that aligns with educational needs.
2. Science of Instruction: Even if we fully grasp the mechanics of learning, this understanding alone doesn't automatically yield effective teaching strategies. It's crucial to have a method for evaluating the effectiveness of instructional methods based on the principles of the science of learning to determine how and when they work best.
3. Science of Assessment: Applying the science of learning requires a comprehensive way to evaluate what has been learned. Clear learning objectives are vital for designing effective instruction, and accurate assessment of achieved outcomes is essential for measuring instructional effectiveness.
#rEDTO2024Image
Read 5 tweets
Feb 3
What can we learn from experts on expertise? Some notes from this excellent book 🧵⬇️ Image
1. Experts Excel Mainly in Their Own Domains.

"There is little evidence that a person highly skilled in one domain can transfer the skill to another."

This point is possibly the central one in the book and one which most people struggle with. Being an excellent teacher in one subject doesn't mean you can teach any subject. In fact even within one subject area there is not a lot of transfer: an expert secondary school English teacher would be useless at teaching 5 year olds how to read.

Likewise, teaching students a set of generic skills is unlikely to lead to them becoming proficient in other areas. You can think deeply about something you know a lot about - generalised 'thinking skills' doesn't come into it.

"The obvious reason for the excellence of experts is that they have a good deal of domain knowledge. This is easily demonstrated; for example, in medical diagnosis, expert physicians have more differentiations of common diseases into disease variants (Johnson et al., 1981). Likewise, in examining taxi drivers’ knowledge of routes, Chase (1983) found that expert drivers can generate a far greater number of secondary routes (i.e., lesser known streets) than novice drivers."
2. Experts Perceive Large Meaningful Patterns in Their Domain.

Possibly the biggest difference between experts and novices is that they actually see problems differently.

In education this is a crucial ability. Simply put, expert teachers have a superpower that novice teachers don't: they can see a whole range of things such as pre-empting misbehaviour before it happens to sensing whether a student is not understanding something. They will have a range of different ways of explaining the same thing in a way that meets the needs of all students. This comes not just from extensive experience but specific knowledge.

"It should be pointed out, however, that this ability to see meaningful patterns does not reflect a generally superior perceptual ability; rather, it reflects an organization of the knowledge base."
Read 9 tweets
Jan 29
Does cognitive science claim the brain is like a computer? A short thread ⬇️ 🧵

It's true that phrases such as 'central executive', 'process', 'encoding' and 'retrieval' are used in the field to define how we learn, however cognitive science also acknowledges the fact that we are human and that unlike computers, we have all the attendant biases and cognitive limitations that come with being human.
Blake Richards argues that if we take the definition of computer from computer science then it's not a good metaphor because the differences are too vast to warrant comparison: Image
Obviously there is the information processing analogy but in terms of memory, it's not really accurate to say that cognitive science views the brain as a computer. Major theorists from the mid-20th Century on (Bartlett/Baddeley/Hitch) broadly agree on one crucial aspect of memory: we don't recall stuff verbatim when we remember something (as if we are taking something out of a file drawer,) we modify or re-write every time we retrieve that knowledge. Computers don't do that.
Read 7 tweets
Jan 24
One of the key things to know from over 100 years of research on learning is the weird paradox that an important part of learning anything is actually forgetting it. A thread on how to harness this principle for effective learning ⬇️ 🧵Image
In 1914, Edward Thorndike outlined his law of effect (based on experiments with cats) which became the blueprint for the behaviourist idea that positive experiences are reinforced and negative ones are weakened.

But part of this broader theory was his 'theory of disuse' which establishes another fairly simple idea: the less you use something the more you forget it. The key idea is that unless you rehearse learned information and skills, it will fade or 'decay' as he put it, over time (use it or lose it).

Now on the surface this seems like something everybody knows, but like so much about learning, it's really not that simple at all.Image
The 'decay' part of Thorndike's theory of forgetting was the problem and robustly debunked by John McGeoch in 1932. He advanced the idea that it isn't so much the "disuse" of learned material over time which causes it to be forgotten but rather the conditions under which it is to be recalled.

In other words, the stuff is still there, you just can't remember it.

(I like this paper because it contains one of the spiciest putdowns in early 20th Century psychology, at a time when everyone was unfailingly polite. He says Thorndike is chatting nonsense "because the principle of passive decay has no analogue anywhere else in science, and is illogical." 🌶️)
Read 11 tweets
Jan 13
One of the most important things educators need to know about learning is that human memory is not like a tape recorder or a computer. It has what Bjork and Bjork call “important peculiarities”, four of which are really important to know when planning teaching ⬇️🧵
(1) Memory has a "remarkable capacity for storing information coupled with a highly fallible retrieval process" (Bjork & Bjork, 2006)

In other words, while we can store a wealth of information, the mechanisms for recalling that information are imperfect and prone to error.

We often think we know something when we don't really know it at all.

This is the main reason why cognitive science has focused so much on the spacing effect and retrieval practice as they are powerful tools for helping students to remember stuff for the exam in June that they were taught in September.
(2) What can be accessed from memory at any one time is "heavily dependent on the current environmental, interpersonal, emotional, and body-state cues"

Remembering is not a static process but a dynamic one, influenced by a person's situation and state at the time of recall. This has important implications for learning and memory, indicating that the conditions under which information is learned can affect how well it is remembered later.

So lessons where there are a lot of activities/props etc. such as students doing a crime scene investigation or rewriting Shakespeare in text messages, lessons which are usually thought of as 'memorable' may not actually be memorable at all - it may seem like learning is happening but actually students are probably experiencing something rather than learning it.

It's also important to note here that if students are hungry then learning is diminished. Alarmingly, the recent PISA results showed that 11% of pupils in the UK misses a meal at least once a week. The OECD average is 8%.
Read 6 tweets

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