The spread of COVID-19 has led many schools and programs to put social distancing practices in place for the start of the 2020–2021 school year. The adoption of masks, physical distancing, and other precautions has led teachers to ask how they can maintain effective interactions with the children in their classrooms.
Due to the ongoing effects of the COVID-19 pandemic, a large number of schools and programs have decided to adopt either a totally online program of instruction or a hybrid model of instruction for the beginning of the 2020 school year. This has prompted questions about whether or not the CLASS measure may be used for observing in virtual classrooms and, if so, what observers need to know prior to conducting observations.
CLASS allows us to quantify the quality of teacher-child interactions—and that is a powerful thing. But improving child outcomes takes more than just data collection; it’s what you do with the data that really matters.
Here are 4 things you should know about using data to improve student outcomes.
There’s a powerful shift happening in early childhood classrooms across Louisiana. While education leaders across the country have visions of bringing high-quality, impactful interactions to all of their students, leaders in Louisiana have taken deliberate steps to turn their vision into a reality.
Recently, I wrote about research showing us just how few children experience even “good enough” teaching from kindergarten to third grade. Only 4% of children in rural areas of North Carolina and Pennsylvania had access to good enough teaching during these critical early years and over 50% only experienced good enough teaching for 1 year or less.
As I entered my 15th year of teaching young children and supporting adult learners, I found myself searching for answers. Answers to why CLASS implementation was so difficult, why teacher buy-in was such a challenge, and why long-term improvement seemed impossible. In my role as the Director of Curriculum and Instruction, I’m constantly checking the data. Data drives instruction, instruction drives learning, learning drives comprehension, and comprehension equals success!
I recently heard a great analogy about the CLASS tool and I had to share it. I can’t take credit for the idea. Affiliate Trainer, Teresa Bockes, originated the concept, and I loved it the minute I heard it:CLASS is like a house. Let’s build a house step-by-step to learn more about this metaphor.
As I sat in on an Infant Train-the-Trainer session, participants reflected on their previous experiences with CLASS: learning about it, using it to observe classrooms, supporting teachers, and training others to observe. One participant spoke up:
“CLASS is a measure you have to get wrong to get right.”
Have you ever thought that the CLASS tool seemed subjective? Perhaps you’ve coded with another certified observer and come up with very different scores for the same classroom? Maybe you’ve struggled with the reliability test or CLASS Calibration and felt that it was due to you seeing the classroom in a different light or interpreting certain situations differently? You’re not alone. Many observers have been there.
