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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 array of assessment tools that yield better evidence and improve decision-making
- how to address the challenge of ensuring authenticity in students′ responses when AI-generated content is becoming more common
With this guide in hand, you′ll be ready for a better approach to assessment--armed with practical tools and strategies to ensure students can analyze, synthesize, adapt, critique, and most importantly, take charge of their own learning.
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 array of assessment tools that yield better evidence and improve decision-making
- how to address the challenge of ensuring authenticity in students′ responses when AI-generated content is becoming more common
With this guide in hand, you′ll be ready for a better approach to assessment--armed with practical tools and strategies to ensure students can analyze, synthesize, adapt, critique, and most importantly, take charge of their own learning.
Publishers Acknowledgements
Table of Contents
Introduction
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 8
Chapter 9
Chapter 10
References
Index
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | Allgemeines |
| Genre: | Erziehung & Bildung, Importe |
| Rubrik: | Sozialwissenschaften |
| Thema: | Lexika |
| Medium: | Taschenbuch |
| ISBN-13: | 9781071909362 |
| ISBN-10: | 1071909363 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Fisher, Douglas
Wiliam, Dylan Frey, Nancy |
| Hersteller: | SAGE Publications Inc |
| Verantwortliche Person für die EU: | Zeitfracht Medien GmbH, Ferdinand-Jühlke-Str. 7, D-99095 Erfurt, produktsicherheit@zeitfracht.de |
| Maße: | 251 x 173 x 12 mm |
| Von/Mit: | Douglas Fisher (u. a.) |
| Erscheinungsdatum: | 06.09.2024 |
| Gewicht: | 0,378 kg |