More specifically, when a teacher uses data-driven instruction (or DDI), that teacher regularly gathers and analyzes data from both formative and summative assessments to glean insights into how well their students are understanding and mastering the material.

5 Step DDI Meeting Process Step 1: Collect and Analyze Data Whole Class Data Summary: Averages: 67% (Range: 30-97) 52% 68%(24% 70 or above 28% 80 or above)

Description: Data-driven instruction (DDI) enables teachers to make timely and targeted instructional adjustments in their classrooms in order to meet students’ unique needs.

Nov 11, 2022 · How do we make the DATA SOLID? The most effective teachers and leaders know when teaching is working. And when it isn't, they fix it. Knowledge & Skill Statement - 5.3: Developing and sustaining foundational language skills: listening, speaking, reading, writing, and thinking--vocabulary. The student uses newly acquired vocabulary expressively.

Dec 17, 2017 · Data Driven Instruction is when educators used student results on questioning/assessments to inform lesson planning. Effective educators use DDI to address wide spread misconceptions on certain skills, standards, or objectives. This type of planning allows for higher student achievement.

Standing meetings and events around DDI are set for the year with distributed responsibility. Assessments are scheduled purposely throughout the year to assure that what is taught is measured. Multiple days (windows) are allocated to administer the assessments. Days are allocated to analyze data with teams.

Documenting data with our open standards improves consistency, integration, and quality, producing FAIR data, realizing its full potential for people, software, and machines. Why use DDI? Find out more!

Nov 2, 2024 · Data-driven instruction is a systematic process that involves using student data to inform and improve teaching and learning. It’s about gathering, analyzing, and interpreting various types of data to understand student strengths, needs, and progress.

“DDI-Lifecycle is designed to document and manage data across the entire life cycle, from conceptualization to data publication, analysis and beyond. It encompasses all of the DDI-Codebook specification and extends it. Based on XML Schemas, DDI-Lifecycle is modular and extensible” (DDI Alliance, 2020a).

May 25, 2018 · What does the DDI process involve? The data-driven decision-making process involves patterns — lots and lots of patterns. While the process is iterative in nature, it goes through a pattern...