Imagine a first-grader reading a decodable book about day and night. She hits the word “sunset,” which appears under a picture of a sky turning orange. She might get as far as /s/ /u/ /n/, and, using the picture, guess “sunshine” or even “sundown.”
But as a teacher, you hear her keep going and work out the whole word: /s/ /u/ /n/, /s/ /e/ /t/. That’s the alphabetic principle at work. It’s the understanding that letters represent the sounds of speech, and that those sounds can be translated back into words. You can’t watch a student understand something, but you can watch a first-grader turn six letters she’s never seen in that order into a word she already knows.
Meanwhile, somewhere in your assessment data, this student has a score from a measure that asked her to decode words with common sound-spelling patterns, under the same conditions as every other student in the class.
One competency, two records. One is in a report, and the other just happened at your small-group table. One is built for consistency and comparison, while the other is built into the ordinary business of teaching. When you can move easily between them, you get a fuller picture of how your students are growing as readers.
Two views of the same literacy skills
A standardized measure gives you something your daily observations can’t: a consistent, comparable look at every student in your class taken under the same conditions on a predictable schedule. It tells you quickly where each student stands, where the class as a whole needs support, and how that picture changes over the year.
Your classroom observations give you something else. Continuous rather than periodic, they occur in contexts in which students are using literacy skills for real purposes rather than demonstrating them on request. It’s the same idea behind formative assessment, which gathers evidence of learning as it’s happening rather than after the fact.
Neither view can replace the other—a screener isn’t designed to tell you what a skill looks like when a student uses it independently at 10:40 a.m. on a Tuesday, and no amount of observation can give you a standardized comparison across a full class. But when you know which classroom behaviors correspond to which measured competencies, each view can make the other more meaningful.
Example: What the data measures and what you see
Accurate, efficient word reading is critical for early literacy and is strongly correlated with reading comprehension. It’s also where the connection between data and observation may be easiest to see, because the behaviors are so concrete.
Take the alphabetic principle. This measure is about decoding: reading or producing written words with common sound-spelling patterns. It tells you whether a student can recognize letter-sound correspondences and blend them into words.
A student who is writing the letters corresponding to the sounds in ship — /sh/ /i/ /p/ — is doing the same letter-sound work our first-grader did, just in the other direction.
Then there’s oral reading fluency. This measure tracks accuracy and words read correctly per minute as students read grade-level text. A student with strong oral fluency reads accurately and smoothly, with fewer pauses and fewer attempts to sound words out.
In both of these measures, accuracy refers to words, and measures to what degree the student is reading them correctly, while automaticity is what you hear when a student reads those words without visible effort. When that happens, more of their attention is available to consider what the words mean when put together.
What only you can hear, beyond correctness and speed, is fluency’s third piece: expression. A student who groups words into phrases, drops their voice at a period, and makes a question sound like a question is showing you something a words-per-minute score doesn’t capture on its own: that they’re both decoding the words and following their meaning as they go.
Here’s how having both sources of data helps you out: A score will tell you a student’s rate and accuracy are on pace for first grade, and how that’s moved since fall. That’s a comparison you simply can’t make by ear, across a class, from memory. Then there’s what you hear: whether the student is reading in phrases, getting a feel for the punctuation, making it sound like they get it. Put the two together and you know more than either gives you alone: that they’re on pace, and what on-pace sounds like for this individual student.
What happens when you put it all together
Screening happens on a schedule, but students grow all year long—and having access to both types of data can help you sharpen your focus between assessment windows.
Our new infographic, What Measures Show and What Teachers Observe: A Guide to Data-Informed K–5 Literacy Instruction, lays it all out: word-level and text-level competencies, what standardized measures capture, and what the corresponding classroom behavior looks like, side by side. These insights keep you aware of your students’ growth, day in and day out.
Keep it handy during a read-aloud, bring it to your next meeting, or share it with a colleague. Knowing what a given competency looks like in daily classroom life gives you the chance to see development as it happens and make data-informed decisions. Together, these things can provide a full, textured answer to the million-dollar question: How is this reader doing?
