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Everything about Data-driven instruction

Data-driven instruction is an educational approach that relies on information to inform teaching and learning. The idea refers to a method teachers use to improve instruction by looking at the information they have about their students. It takes place within the classroom, compared to data-driven decision making. Data-driven instruction works on two levels. One, it provides teachers the ability to be more responsive to students’ needs, and two, it allows students to be in charge of their own learning. Data-driven instruction can be understood through examination of its history, how it is used in the classroom, its attributes, and examples from teachers using this process. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Data-driven instructionA 5-minute orientation
  2. Skim a recent paper: Setting standards for SDLMI fidelity: Promoting Data‐driven decision making to advance Self‐determination instructionInfluential work since 2022
  3. Pick up a classic book: The Journey from Novice to Master in LiteracyThe most-reprinted book on the subject
  4. Read the landmark paper: Ability Grouping and Differentiated Instruction in an Era of Data-Driven Decision MakingCited 92 times
  5. Go sideways: Formative assessmentA closely related topic
  6. Go sideways: Summative assessmentA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

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