Students spent several weeks learning about fossils, how they are formed, and how paleontologists study them. To wrap up the unit, students participated in a hands-on excavation activity, using tools to dig for fossils, reconstruct dinosaur bones, and problem-solve together to develop a complete model.
In this lesson, students develop a model of the earth’s surface and use it to discover an important principle about how rivers work. In the activity, Paper Mountains, students take turns using a spray bottle to make rain fall on paper models of mountains to observe patterns of how water and rivers flow.
A student uses a whiteboard analogy chart to compare and sort “ee” and “igh” spelling patterns during word study. This activity holds students to high academic expectations by engaging them in rigorous phonics work that strengthens decoding skills and supports accurate reading and spelling.
Two students work collaboratively to read a decodable text and search for targeted words. As they take turns reading aloud and giving each other feedback on fluency, they apply content knowledge in a culturally responsive, peer-supported setting that promotes engagement, accountability, and oral reading development.
A student participates in a small-group intervention using magnetic letters to build and read sight words. This targeted, hands-on activity provides data-driven academic support by meeting students at their instructional level and offering individualized practice to strengthen foundational reading skills.
Throughout the school year, students engage in ongoing data tracking across subject areas to monitor their growth and set meaningful goals. Students track their reading level, math fact fluency, and character and work ethic through self-evaluation forms, holding themselves to high academic expectations and reflecting on rigorous learning goals. This process draws on students’ individual strengths, experiences, and needs, making goal-setting culturally relevant and student-centered. Teachers use this data to provide targeted, data-driven academic support, including tutoring and small-group interventions, while students use their trackers to demonstrate progress and ownership of their learning during end-of-year Student-Led Conferences.
The quadrant data charts illustrate significant student growth in math from fall to spring. In the fall, many students were clustered in the low growth/low achievement quadrant, indicating the need for targeted instructional support. By spring, the majority of students had moved into the high growth/high achievement quadrant, reflecting the impact of rigorous instruction, ongoing progress monitoring, and data-driven small-group and individual interventions that supported students in accelerating their math learning.