Description

Book Synopsis

Fuel student-driven success and enhance learning with better assessment

What if there was a better way to collect and interpret assessment data that could strengthen the link between teaching and learning? Student Assessment: Better Evidence, Better Decisions, Better Learning is the innovative guide to show you how it's done and done right. This unique book offers a new assessment model focused on decision-driven data collection and provides an arsenal of tools for collecting better evidence to increase student learning. You will learn:

  • the importance of assessment in the teaching and learning process
  • what a decision-driven data collection assessment model looks like and how it differs from a more traditional data-driven decision-making model
  • how to effectively establish learning intentions and success criteria within assessments to actively engage students in their own learning
  • how to implement an ar

Student Assessment

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    A Paperback by Douglas Fisher

    £26.59

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    RRP £27.99 – you save £1.40 (5%)

    Order before 4pm today for delivery by Wed 4 Nov 2026.

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      Book details

      Publisher Sage Publications
      Published 1 June 2024
      ISBN-13 9781071909362
      978-1071909362
      ISBN-10 1071909363

      Description

      Book Synopsis

      Fuel student-driven success and enhance learning with better assessment

      What if there was a better way to collect and interpret assessment data that could strengthen the link between teaching and learning? Student Assessment: Better Evidence, Better Decisions, Better Learning is the innovative guide to show you how it's done and done right. This unique book offers a new assessment model focused on decision-driven data collection and provides an arsenal of tools for collecting better evidence to increase student learning. You will learn:

      • the importance of assessment in the teaching and learning process
      • what a decision-driven data collection assessment model looks like and how it differs from a more traditional data-driven decision-making model
      • how to effectively establish learning intentions and success criteria within assessments to actively engage students in their own learning
      • how to implement an ar

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