UDL and DDDM (data literacy) in Assessment Practices
Data Driven Instruction Data driven instruction is a constant and ongoing process that teachers must face daily in their work with students. According to Dr. Michael Bolz and Vidya Madhaven data driven instruction the research has shown that " data-driven instruction can have a positive impact on teachers’ instructional strategies and students’ academic performance." Their website argues that data driven instruction has three different phases. (Link to their website: https://www.hmhco.com/blog/what-is-data-driven-instruction.) Phase 1: the intentional assessment of the students. This is when the teacher gathers data from the students through assessments and assess how the students align with learning objectives. Phase 2: data analysis and alignment. This is when the teachers analyzes the data and looks for patterns in the student learning. Phase 3: Instructional Changes. This is when the teacher adapts and changes future instruction to fit the needs of the students....