Data Teams and Blended Instruction
At our blended school, we value data in all forms, whereby we seek to meet both the academic and behavioral needs of our students. In the elementary school setting, where we assess reading levels every six weeks, we also assess student growth and mastery in each student’s blended learning every quarter and assess behavioral trends on a monthly basis.
Students self-monitor their understanding by using the Fluid Mastery Rubric. They monitor their level of understanding of the lesson on a scale of 1 to 4 (1 being least mastered to 4 being most). Because my students are given the opportunity to reflect and self-monitor their level of understanding of the lesson, I get real-time data on which students need targeted interventions and supports.
This strategy helps to lighten the mood and get everyone moving. Students in a blended learning class at the elementary level need time to take a break from blended learning at various moments and engage with each other.This strategy facilitates the opportunity to lower the affective filter and have students engage in academic and non-academic conversations. We review the expectations for the transition and what their next steps are when they find a partner. Students spontaneously select a partner, put their hands up together in the air, and keep them there once everyone has a partner. we then decide by height and shirt color who will share first. Any students remaining are paired up accordingly. The song playing serves as a signal about when to go and when to stop moving.
A blended teacher’s personal mindsets shape his decisions as an educator. These mindsets influence general pedagogies, instructional approaches, and short-term decision making, alike. Check out how Jeff’s mindsets have helped to shape his blended instruction.