Data-Driven Instruction

Despite all of the data gathered about schools and student learning, research shows that schools have a great need for training in how to use these data for making decisions about instruction. Data-driven instruction is one of the foremost strategies for improving student achievement. However, educators need help in understanding what to apply and how to apply it.

To meet Common Core State Standards or other high academic standards, data-driven instruction is essential. We help schools review and determine the most meaningful data to gather, ways to ease the burden of data collection and analysis, and how to facilitate data driven professional learning communities. This results in data used for making critical instructional decisions.

An early step is to decide which part of the data to use first because not all of the information will be useful for all students or all classes. Once the first layer of pivotal data are determined, the key players need to select the best teaching strategies to address the issues revealed in the data. A timeline may also be part of the plan. This undertaking will necessarily be followed by an assessment at some point in the future to review the effectiveness of the plan and recalibrate. Administrators set the priorities for assessment planning, so we will help administrators and teacher leaders set up procedures and expectations and/or teach teachers about how to discuss data in team meetings, including the methods by which the data can point to particular types of teaching methods or learning strategies.

Participants will receive targets and templates for daily or weekly monitoring of student performance. We can assist you in identifying key data for “value added” improvements, how to determine instructional strategies after you have disaggregated data, and how to build important criterion referenced assessments for “fast tracking” academic growth.

Key Points

  • The data from assessments—formative as well as summative—can provide direction to help your students and school reach high academic standards.
  • Data-driven instruction can seem intimidating , but we regulate our lives based on personal experiential data, from medication changes, to oven temperature adjustment once we’ve burned food, to calculating winter driving time.
  • Learning is a complex task, and data help us select teaching approaches more efficiently.


3 hours


Reem Labib, Lisa Stepney, Christine Mason