How the Brain Learns to Read
The Science of Reading
There has been a century long debate
over how to best teach children to read proficiently. The term “Science of
Reading” has been popping up in educational forums and has recently taken
center stage in the national debate on literacy. Mississippi and Florida, who
have recently led the nation in gains in literacy based on the most recent NAEP
results, have invested a lot of resources in having their teachers and
administrators trained in the Science of Reading. Based on the minutes of the
North Carolina State Board of Education as well as the mission and vision of
the NCDPI K-3 Literacy Division, North Carolina is committed to investing in
training and resources for educators related to the Science of Reading.
Image Credit: North
Carolina Department of Public Instruction. (2020). Mission, Vision, Guiding
Principles. K-3 Literacy Division.
Retrieved from https://www.dpi.nc.gov/districts-schools/classroom-resources/early-learning-read-achieve/k-3-literacy.
Yet,
in my last post “What’s Happening in North Carolina Literacy”, I referenced a
report commissioned by the UNC system president to study the literacy component
of educator preparation programs which found that the majority of educator
preparation programs were woefully lacking in their alignment to current
research in literacy leaving graduates unprepared to teach literacy skills at
the elementary level (Bryan, Hougen, & Nelsen 2018).
The National Council of
Teacher Quality released its annual report on the quality of teacher
preparation programs and how well these programs prepare teachers how to teach
the five pillars of reading based on scientifically proven principles (Graham
& Walsh 2020). Their report ranks teacher prep programs based on an
extensive review of course syllabi, textbooks, and class assignments, and programs
are rated based on an A-F grading system. Their report found that 51% of the
programs reviewed received either an A or B rating which was a 16 point
increase since 2013. Their full report provides links to the criteria they used
to rate each program as well as to links that show performance by state. In
North Carolina Lenoir-Rhyne University and UNC-Charlotte both received a rating
of A; however; Lenoir-Rhyne received an additional rating of exemplary for
meeting all of the criteria laid out by the reviewers. They also reviewed
textbooks utilized in educator preparation programs and found that 57% align to
current research on reading. As professionals seeking to continue to educate
yourselves or your staff if you are an administrator, the report also provides
a list of “acceptable” and “not acceptable” texts to learn how to teach
reading. Unfortunately, many of the top ten texts that were rated “not
acceptable” are frequently in use in multiple school districts in North
Carolina as professional development for teachers.
If a large number of teacher preparation programs are not
adequately preparing teachers to be effective literacy teachers and current
teachers, administrators, and district decision makers have never been trained
to be effective literacy instructors, then how are we ensuring that the
curriculum and professional development being provided to teachers is in line
with what science says is how best to teach reading, especially to our most
struggling readers. What exactly is meant when you hear the term “Science of
Reading”, or SOR? The Science of Reading is not an instructional approach to
reading or a philosophical belief, but refers to the body of evidence from
cognitive psychologists and cognitive neuroscience as well as other disciplines
that shows how the brain learns to read efficiently and what goes wrong in the
brains of non-proficient readers. Dr. Louisa Moats defines the term as follows:
“The body of work referred to as the “science of reading” is
not an ideology, a philosophy, a political agenda, a one-size-fits-all
approach, a program of instruction, nor a specific component of instruction. It
is the emerging consensus from many related disciplines, based on literally
thousands of studies, supported by hundreds of millions of research dollars,
conducted across the world in many languages. These studies have revealed a
great deal about how we learn to read, what goes wrong when students don’t
learn, and what kind of instruction is most likely to work the best for the
most students (Stuart & Fugnitto 2019).”
Thousands upon thousands of research studies have been
conducted creating a large body of evidence revealing how the brain learns to
read and the instructional strategies most likely to produce the neural
pathways needed for proficient reading. Unfortunately, much of this research
does not trickle down to currently practicing educators and changes in
curriculum and instructional practices. Frequently, teachers are asked to
evaluate programs and instructional practices based on scientific evidence.
But, what is meant by the term “scientific evidence”? Educator preparation
programs do not typically train teachers on how to be discerning consumers of
research. Reid Lyon and Vinita
Chhabra
(2004) give an excellent overview of scientific evidence, the difference
between qualitative and quantitative research, and how to evaluate the validity
of research. When looking at research, it is important to look at sample size,
the replicability of the study, and whether the study was published in a peer
reviewed journal (Stanovich & Stanovich 2003). Unfortunately, many
educators tend to rely on personal experiences in the classroom when selecting
instructional strategies and curricula versus referring to research evidence.
Which areas of the brain are
involved in reading?
Thanks to advances in neuroimaging
researchers have been able to pinpoint the specific areas of the brain involved
in learning to read as well as being able to see the difference in functioning
of proficient versus non-proficient readers. Our brains are not hard wired to
read, and the act of reading requires us to use parts of the brain that are
intended for other purposes to work together. Thanks to functional MRI scans,
scientists are able to see how the brain functions during various tasks.
Scientists have identified three main areas of the brain involved in proficient
reading: the temporo-parietal cortex, inferior frontal cortex, and the
occipito-temporal cortex (Eden 2019).
Images Credit: Eden,
G. (2019). How Reading Changes the Brain. Retrieved from https://www.understood.org/en/learning-thinking-differences/child-learning-disabilities/reading-issues/how-reading-changes-the-brain.
The temporo-parietal cortex, also
referred to as the word analyzer, breaks words into syllables and individual
sounds (Gorman 2003, Eden 2019). This area links individual sounds to letters.
The inferior frontal cortex, also known as the phoneme producer, is used to
analyze the individual phonemes in words as well as vocalizing words and making
connections to meaning. These two areas are activated the most in beginning
readers. The occipito-temporal cortex, or the automatic detector, is where the
brain begins to recognize words by sight. As the brain encounters new words,
they are compared to patterns previously stored in the brain allowing for
automatic retrieval (Gorman 2003). As students become more skilled readers,
more activation is seen in this area, and imaging studies have revealed that
these three areas are involved in skilled reading no matter the language (Eden
2019). However, in students with poor reading skills, imaging studies have
revealed that these areas of the brain are either not utilized or
underutilized. Poor readers show a reliance on the right side of the brain to
process visual cues such as pictures to process words (Gorman 2003) and have
difficulty breaking words into individual sounds. The good news is that the
same imaging studies have shown that through specific types of intervention,
the brain can be trained to activate the more efficient parts of the brain that
good readers use (Eden 2019). These same brain scans have also revealed that
when targeted instruction is provided in kindergarten and first grade
struggling readers, after a year their brain scans resemble the scans of
proficient readers (Shaywitz & Boulton 2019).
The Four Processor Model of Reading
When reading, there are four
processing systems that must work together in the areas of the brain identified
above: the phonological processor, the orthographic processor, the meaning
processor, and the context processor (Moats 2016). In her LETRS training for
teachers, Moats explains the functions of each processor in relation to
reading. The phonological processor allows us to process the speech sounds of
our language as well as other languages. Key functions include: identifying and
categorizing speech sounds, production of speech sounds and syllables,
distinguishing phonetically similar words, accurate phrase and sound
repetition, word retrieval and pronunciation, and connecting individual sounds
to spelling patterns. Essentially, this processor controls all of the functions
needed for accurate and fluent phonemic awareness. Children struggling in this
area have difficulty recalling letter sounds, blending, frequently confuse
similar looking words, and have difficulty spelling all of the sounds found in
words. The orthographic processor processes visual information from printed text
including words, punctuation, spacing, and letter patterns. This system is
highly involved in the ability to accurately and quickly retrieve information
needed for word recognition and spelling. Students that struggle in this area
will have difficulty with sight words, spelling, and rely on sounding out every
word as they struggle to develop automaticity with skills learned. The meaning
processor is essentially your mental dictionary that responds to words seen or
heard by interpreting the various meanings of a word. Children who struggle in
this area tend to have poor vocabularies. The context processor utilizes the
context in which a word is found in conjunction with the meaning processor to
determine the intended meaning of a word as it is used in a sentence or text.
The context and meaning processors play a very limited role in the ability to
name a word in print; the orthographic and phonological processors are
responsible for the job of word recognition and pronunciation. Students will
struggle to make meaning without first having the ability to accurately and
quickly read words in print. The four processor model shows the importance of
all pieces of the puzzle working together. No one piece can work in isolation
without the support of the other pieces.
Image Credit: Moats, L. (2016). Chapter 3 What the Brain Does When It
Reads. LETRS, Module 1: The Challenge of Learning to Read. Retrieved from http://cdn2.hubspot.net/hubfs/208815/2014-15_SchoolYear/LETRS/169261_Letrs2E_M1_29-38.pdf.
Closing
In closing, reading is a topic about which many educators
are extremely passionate. We all know the outcomes for children who never
become proficient readers, and their paths in life become very limited without
proficient reading skills. As a child I always loved to read, and books were
where I met some of my best friends, met my first loves, traveled to other
times and places, and developed new interests. For me learning to read was an
unnaturally easy process. Unfortunately, for almost 60% of learners learning to
read can range from difficult to one of the most formidable challenges in their
life. Many of these students come from our most at-risk populations: high poverty,
limited english proficiency, speech/language impairments, hearing impairments,
or homes where the parents have limited literacy skills (Lyons 1998). If we
truly believe in equity for all of our students, then, as educators, we need to
look closely at the instructional practices we are utilizing, how our teachers
are being trained to teach literacy, the in-service professional development
provided to teachers, the programs being utilized for literacy, and what
research says. Do we truly believe that ALL students can learn to read or is it
something we say casually? Are we willing to examine what we are doing to
ensure that ALL students become proficient readers through early intervention?
Over the next few weeks, I will delve more into the five pillars of reading and
instructional and assessment practices that align with the Science of Reading.
Works Cited
Bryan, B.A., Hougen, M., and Nelson, K. (2018, Feb 14).
Leading on Literacy: Challenges and Opportunities in Teacher Preparation Across
the University of North Carolina System. The
University of North Carolina System. Retrieved from https://www.northcarolina.edu/sites/default/files/documents/unc_teacher_preparation_report_final_021418.pdf.
Drake, G. and Walsh, K. (2020).
Teacher Prep Review: Program Performance in Early Reading Instruction. The National Council on Teacher Quality.
Retrieved from https://www.nctq.org/publications/2020-Teacher-Prep-Review:-Program-Performance-in-Early-Reading-Instruction.
Eden, G. (2019). How Reading Changes
the Brain. Retrieved from https://www.understood.org/en/learning-thinking-differences/child-learning-disabilities/reading-issues/how-reading-changes-the-brain.
Gorman, C. (2003 July 28). The New
Science of Dyslexia. Time Magazine.
Retrieved from http://www.marklemessurier.com.au/main/workshops/teacher/articles/The%20Time%20Magazine%20The%20New%20Science%20of%20Dyslexia.pdf.
Lyons, G.R. (1998 April 28).
Overview of Reading and Literacy Initiatives. National Institute of Child Health and Human Development. Retrieved
from https://files.eric.ed.gov/fulltext/ED444128.pdf.
Lyon, G.R. and Chhabra, V. (2004
March). The Science of Reading Research. Educational
Leadership. Retrieved from http://www.ascd.org/publications/educational-leadership/mar04/vol61/num06/The-Science-of-Reading-Research.aspx.
Moats, L. (2016). Chapter 3 What the Brain Does When It
Reads. LETRS, Module 1: The Challenge of Learning to Read. Retrieved from http://cdn2.hubspot.net/hubfs/208815/2014-15_SchoolYear/LETRS/169261_Letrs2E_M1_29-38.pdf.
North Carolina Department of Public
Instruction. (2020). Mission, Vision, Guiding Principles. K-3 Literacy Division. Retrieved from https://www.dpi.nc.gov/districts-schools/classroom-resources/early-learning-read-achieve/k-3-literacy.
Shaywitz, S. and Boulton, D. (2019).
An Interview Dr. Sally Shaywitz-The Brain and Dyslexia-What brain imaging can
and can’t tell us about reading difficulties. Children of the Code. Retrieved from https://childrenofthecode.org/interviews/shaywitz.htm.
Stanovich, P. and Stanovich, K. (May
2003). Using Research and Reason in Education: How teachers can use
scientifically based research to make curricular and instructional decisions. National Institute for Literacy.
Retrieved from https://lincs.ed.gov/publications/pdf/Stanovich_Color.pdf.
Stuart, K. and Fugnitto, G. (2019).
Collaborative Circle Blog: A Conversation About the Science of Reading and
Early Reading Instruction with Dr. Louisa Moats. Center for the Collaborative Classroom. Retrieved from https://www.collaborativeclassroom.org/blog/a-conversation-about-the-science-of-reading-with-dr-louisa-moats/.
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