From Passive to Powerful: How Engagement and Data Drive Student Learning

Each day, students sit in classrooms and appear engaged. These students are quiet, looking at the teacher, and completing assigned work. Oftentimes, this engagement is passive rather than active. These students are getting a surface-level understanding of the content without actually interacting with it to further their understanding. Researcher John Hattie has found that instructional strategies that actively engage students have a far greater impact on student achievement because students must process and apply their learning rather than simply receive it. The goal is to see all students take the material we have shown them and be able to write about it, discuss it, apply it, and problem-solve with it. 

Boosting active engagement in the classroom also provides teachers with more data. Students who engage with the content through discussion, creating visuals, application, etc., provide us with the evidence we need to see where they are in their understanding. Not only can we see the bright spots or “a-ha” moments, but we can also see the misconceptions and know when it is important to reteach. To do this, teachers can brush off some of the most popular strategies that are often overlooked:

• Think-Pair-Share: Students think about a question independently, discuss their ideas with a partner, and finally share with the class. This strategy allows teachers to hear student thinking.
• Quick writes or exit tickets: Students respond to a question in writing, allowing the teacher to receive immediate feedback on how the lesson went.
• Whiteboards or response cards: Students show their answers at the same time, giving the teacher instant data.

Data-driven instruction is important for effective teaching. We cannot collect data each day and never look at it again. If we never examine students’ responses on an exit ticket, we are only asking for compliance, not learning. Examining these key data points tells us whether we need to reteach a concept, provide additional practice with or without scaffolding, adjust our pacing, or move to enrichment activities. Data-driven instruction is most effective when it happens during learning. Waiting till after a test may be too late; therefore, the most valuable data teachers collect often comes from daily classroom engagement. 

For teachers, the message is clear… engagement and data-driven instruction are not to be treated separately. When we design lessons that actively engage students, the lessons will generate meaningful data. This data can be used to adjust instruction, provide targeted support, and improve student outcomes. Remember, the goal is not compliance. The goal is to see students thinking, responding, creating, and showing what they know each day.

Hattie, J. (2012). Visible learning for teachers: Maximizing impact on learning. Routledge. 

               This article has been contributed by the ECU Regional Coaching Team.