Middle

Data Nuggets are free classroom activities, co-designed by scientists and teachers, designed to bring contemporary research and authentic data into the classroom. Data Nuggets include a connection to the scientist behind the data and the true story of their research. Each activity gives students practice working with “messy data” and interpreting quantitative information.

Data Nuggets are free classroom activities, co-designed by scientists and teachers, designed to bring contemporary research and authentic data into the classroom. Data Nuggets include a connection to the scientist behind the data and the true story of their research. Each activity gives students practice working with “messy data” and interpreting quantitative information.

Collection of 158 free interactive math and science simulations from University of Colorado Boulder. Engage students in math and science practices, and virtual labs, during remote learning. Find over 2,000 sim-based lessons under teacher resources. 

Collection of 158 free interactive math and science simulations from University of Colorado Boulder. Engage students in math and science practices, and virtual labs, during remote learning. Find over 2,000 sim-based lessons under teacher resources. 

Collection of 158 free interactive math and science simulations from University of Colorado Boulder. Engage students in math and science practices, and virtual labs, during remote learning. Find over 2,000 sim-based lessons under teacher resources. 

Collection of 158 free interactive math and science simulations from University of Colorado Boulder. Engage students in math and science practices, and virtual labs, during remote learning. Find over 2,000 sim-based lessons under teacher resources. 

Collection of 158 free interactive math and science simulations from University of Colorado Boulder. Engage students in math and science practices, and virtual labs, during remote learning. Find over 2,000 sim-based lessons under teacher resources. 

Three iterative, 18-episode design experiments were conducted after school with groups of 6–9 middle school students to understand how to differentiate mathematics instruction. Prior research on differentiating instruction (DI) and hypothetical learning trajectories guided the instruction. As the experiments proceeded, this definition of DI emerged: proactively tailoring instruction to students’ mathematical thinking while developing a cohesive classroom community.

The Flipped Mathematics Study offers advice on how to use video to teach math remotely.

Conventional assessment analysis of student results, referred to as rubric‐based assessments (RBA), has emphasized numeric scores as the primary way of communicating information to teachers about their students’ learning. In this light, rethinking and reflecting on not only how scores are generated but also what analyses are done with them to inform classroom practices is of utmost importance.