Language & Literacy

Musings about language and literacy and learning

I met Andrew Watson at a post Research Ed pub event in Philly a few years back. I’m an introvert and not terribly excited about talking to strangers in noisy settings, and saw Andrew standing there looking aloof, so he seemed like someone good to chat with. I had no idea who he was, just recall him saying something about neuroscience something or other and conferences, he may have had a card. I probably, in my naiveté, thought he was shilling for a company or something (lol). Anyway, I later followed him on Twitter, and over time began to really appreciate his wise and often sardonic takes on education and research, and made a note to check out his book, The Goldilocks Map.

I do take a while to get around to education related books, but I’ve been reading more and more research these days, and it seemed like high time to finally pick up his book, as I am a complete amateur in understanding methods or anything, really, beyond the abstract of most papers.

And I’m really glad I did, and I recommend you do, too. He’s got a dry wit that can make you laugh out loud, while at the same time dropping critical knowledge throughout in a clear and concise way.

The Goldilocks Map is about striking a just right balance of openness to new evidence-based teaching methods, while at the same time maintaining a disciplined skepticism to ensure that you are not jumping into the latest edu brain fad that will waste your, your colleagues’, and your students’ precious learning time.

Watson gives classroom teachers a step-by-step process for determining whether or not to listen to the latest wisdom bestowed upon you in a PD, starting with asking any source of a new practice, “What’s the best research you know of that supports it?” How your source responds to that question can immediately tell you whether or not to go further.

I’ve taken up this quest since reading his book, and I had a really great interaction with a well-respected researcher, in which he acknowledged that a particular passage in one of his papers may have been a bit over-emphatic, and pointed to some more nuanced research findings that complicated the issue. Boom. He has thus become a trusted source for me. As Watson puts it in his book, “Trustworthy sources want us to want more information.” Indeed.

Watson gives us questions, tools, and shortcuts for digging deeper into real research, and actually, part of the fun of reading his book is watching him surgically dissect key studies over the course of the chapters. It’s a tour de force.

One interesting personal takeaway I had from reading his book was that my purpose and methodology in reading education research is a bit different than some of these approaches–and that’s OK. I read research more like the former English major that I am — I typically read for thematic patterns, well crafted ideas, and arguments that accumulate across papers. And for my purposes — as someone now outside of the classroom less interested in specific practices I can apply tomorrow, and more interested in key frameworks and models that can help to inform district and school-wide approaches, as well as classroom practices, that can make sense.

That said, I took away sharp and insightful understandings and approaches to reading research with a more informed and critical eye. Watson is not afraid to get technical, and I’m going to need to go back and re-read the book to really internalize and apply some of his methods.

I highly recommend picking up this book and adding to your collection.

#bookreview #research #PD #evidence

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We recently examined Phillip Gough and Michael Hillinger’s 1980 paper, Learning to Read: An Unnatural Act, in which they made a neat analogy of learning to decode an alphabetic writing system to cryptanalysis. As a part of this cryptanalysis, children aren’t simply learning to decode, but more precisely, learning to decipher the written code. This distinction highlights that learning to read in English is not driven by paired-associative learning, but rather by internalizing an algorithm, a statistical, systematic, quasi-regular mapping.

This point is a sharp one because what they were saying is that we can’t teach such a cipher directly. We can’t just hand a kid the codebook.

So when I saw a reference recently to another Gough paper called Reading, spelling, and the orthographic cipher, co-written in 1992 with Connie Juel and Priscilla Griffith, I knew I needed to read this one, too.

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I’ll never forget the moment when I realized that the students in a school I was supporting had not read anything more than a few pages of text for close to two months.

There were a myriad of potential excuses for it. They were ramping up for test prep season, there was a spring break and a snow day, they had cycles of interim assessments that broke into their instructional time, they rotated between reading and writing units during core ELA time, and had been in the middle of a writing cycle, etc.

It took me a while to see it clearly, as I came only once a week, at most, and couldn’t always see the full picture. But then it hit me like a ton of bricks once I did. How could students improve their literacy when they weren’t expected to read for sustained and structured periods of time daily?

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The first thing that happened to reading is writing. For most of our history, humans have been able to speak but not read. Writing is a human creation, the first information technology, as much an invention as the telephone or computer.

—Mark Seidenberg, Language at the Speed of Sight

What is (un)natural about learning to read and write? We began our quest with this question, prompted by two references in a line in a David Share paper.

Like learning to read (English) which Gough famously dubbed “unnatural” [43], see also [3], becoming aware of the constituent phonemes in spoken words does not come “naturally”.

—Share, D. L. (2021). Common Misconceptions about the Phonological Deficit Theory of Dyslexia. Brain Sciences, 11(11), 1510.

This led us to unpack three foundational papers from 1976 to 1992 that have provided us with some surprising twists and turns and even moments, dare I say, of clarity.

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OK, we’re here, at our third paper in our series examining the naturalness, or not, of gaining literacy.

  • Liberman, A. M. (1992). Chapter 9 The Relation of Speech to Reading and Writing. In R. Frost & L. Katz (Eds.), Advances in Psychology (Vol. 94, pp. 167–178). North-Holland. https://doi.org/10.1016/S0166-4115(08)62794-6 Liberman comes strong out the gate with seven claims on why speech* is “more natural” than written language:
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In our last post in a series exploring the question, “What is (un)natural about learning to read and write?,” we looked at a paper from 1980 by Phillip Gough and Michael Hillinger, Learning to Read: An Unnatural Act, that provided a counter to Ken and Yetta Goodman’s argument that learning to read is natural, and provided us with a useful analogy: learning to read an alphabetic writing system is a form of cryptanalysis. Using this analogy, Gough and Hillinger drew out a fine-grained distinction between a code and a cipher that allowed them to make some precise observations about the difficulty of breaking the alphabetic cipher that have held up quite well over the years.

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Learning to Read: An Unnatural Act

In our last post in this series exploring the question, “What is (un)natural about learning to read and write?,” we looked at a paper from 1976 by Ken and Yetta Goodman that argued that written language is a form of oral language and thus, learned naturally in a literate society through exposure and use in the environment.

In this post, we’ll explore a direct counter to that argument made by Phillip Gough and Michael Hillinger in 1980.

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This is the first post in a series examining the question of what is natural and unnatural in learning to read. In this first post, we’ll unpack a controversial paper from Ken and Yetta Goodman.

In this presentation/paper, the Goodmans make the argument that in a literate society, learning written language is as natural as oral language because it is part of their functional environment.

“Language learning whether oral or written is motivated by the need to communicate, to understand and be understood.”

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The most fundamental questions and debates in a field of study can often be the most illuminating to the topic. Debates about the value of literature and the arts today, for example, can still be traced back to Plato and Aristotle.

A fundamental debate related to this blog’s focus has revolved around whether learning to read and write is natural or unnatural. This may at first glance seem a trivial question, but it turns out that the “reading wars” have circled around it. And it seems to surface continuing unresolved tensions between the studies of language and literacy development today.

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In my last post, we reviewed a round up of some research on phonology, with clarifications around what we know and what we do not yet know regarding the relation of advanced phonemic awareness training and phonemic proficiency to outcomes for struggling readers.

One piece I briefly mentioned in that post and which I’d like to dig further into is from David Share, Is the Science of Reading Just the Science of Reading English?

This is an important question to ask, because while research into how children who speak English learn to read in English has become quite substantive (even if still mostly unknown in too many classrooms), there is still quite a bit we don’t know about learning to read in English if you don’t speak English as your first language, and there’s even more we don’t yet know about learning to read in languages other than English.

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