Direct or explicit instruction seems to be widely misunderstood. It's often characterised as boring lectures with little interaction and not catering to the needs of all students. Nothing could be further from the truth. A short thread 🧵⬇️
Direct Instruction (DI) as a formal method was designed by Siegfried Engelmann and Wesley Becker in the 1960s for teaching core academic skills. This was a structured, systematic approach which emphasizes carefully sequenced materials delivered in a clear, unambiguous language with examples.
It's designed to leave little room for misinterpretation and to ensure that all students, regardless of background or ability, can learn effectively.
It's also anything but boring. Here is a video from the 1960s of Englemann teaching Maths. Notice how interactive and fast paced the teaching is:
In the 1970s, Barak Rosenshine researched what makes for high quality teaching. He found that really effective teachers use direct instruction (di) as a core part of their practice and that it's about a lot more than merely explaining things ⬇️
In the 1980s, Brophy and Good looked at the relationship between teacher behaviours and student achievement. They found that explicit instruction was an integral part of effective teaching and it was in fact, a form of active teaching. They write that although there is a lot of teacher talk, most of it is "academic rather than procedural or managerial and much of it involves asking questions and giving feedback rather than extended lecturing." edwp.educ.msu.edu/research/wp-co…
In the early 2000s, Explicit Direct Instruction (EDI) was developed by Silvia Ybarra and John Hollingsworth and despite the harsh sounding name, is very interactive.
Something which will probably shock most teachers is that Explicit Direct Instruction suggests that teachers talk for a maximum of two minutes before engaging students in some way ⬇️
One major misconception is the claim that "Direct or Explicit instruction marginalises SEN pupils." This is completely untrue, in fact the opposite is probably more accurate. The EEF recommended explicit instruction as a core part of their ‘Special Educational Needs in Mainstream Schools’ guidance report.
What is the evidence base for direct or explicit instruction?
Well there's a lot but let's take the unfortunately named Project Follow Through, (initiated in 1968 and extended right through to 1977) which was the largest and most comprehensive educational experiment ever conducted in the US. Its primary goal was to determine the most effective ways of teaching at-risk children in kindergarten through third grade.
The results indicated that Direct Instruction was the most effective across a range of measures, including basic skills, cognitive skills, and affective outcomes.
Two astounding things I find about Project Follow Through:
1. Not only did these students (mostly disadvantaged and at-risk) do better on what was termed 'basic skills' such as reading and maths but they also felt better about themselves. 2. Secondly, many educationalists and academics not only ignored these results but actually encouraged schools to use the least effective methods from this study. As Cathy Watkins puts it: "The majority of schools today use methods that are not unlike the Follow Through models that were least effective (and in some cases were most detrimental)." nifdi.org/research/esp-a…
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One thing we hear over and over again is that we should be teaching creativity in schools. We also often assume that certain people are just more creative than others. What is the evidence for this? A new paper examined fifty years of research. Thread ⬇️ 🧵
This paper asks a basic question: are some people simply born more creative, regardless of the subject or field and if so, what does this mean for education? this idea, known as the "domain-general hypothesis", suggests that a person with a high level of general creativity could excel in any creative task they pursue.
The article questions whether we should be testing for this general creative ability, if we should teach it and whether "general creativity" is even a thing.
To test this, researchers studied how participants complete creative tasks in various domains like writing, visual arts, or problem-solving.
The general creative type or "domain-general hypothesis" would be supported if participants consistently demonstrated above-average creativity across all these domains. However, this review found several limitations:
Firstly, studies rarely measured participants’ existing knowledge in the tested domains, meaning their success could be attributed to pre-existing specific knowledge rather than a general creative ability.
For example, someone who performs well on a creative writing task might already have a strong vocabulary and knowledge of writing techniques. Their success might be attributed to this existing knowledge rather than a general creative ability.
Possibly the most difficult challenge teachers face in instructional design is the “transfer paradox” otherwise known as the deceptive trade-off between immediate performance vs. long-term transfer. A short 🧵⬇️
The “transfer paradox” refers to a counterintuitive situation in learning and instructional design: techniques that improve immediate performance often do not lead to effective transfer of skills or knowledge to new and different contexts. In other words, what helps students perform well during initial learning may not prepare them well for applying that knowledge in different situations or problems they haven’t encountered before.
ref. researchgate.net/publication/25…
To be clear, I'm talking about relatively near transfer. I'm very skeptical of far transfer as advocated in 21st century skills or generic critical thinking skills. For example, climbing a hill is not going to make you better at persevering at solving equations. This from Richard Mayer is helpful:
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.
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 🧵
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:
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…
How might teachers and school leaders think about implementing the science of learning in practice?
Some thoughts from my talk at #rEDTO2024
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.
#rEDTO2024
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.
#rEDTO2024
What can we learn from experts on expertise? Some notes from this excellent book 🧵⬇️
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."