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:
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Dr. Dylan Wiliam is emeritus professor of educational assessment at the UCL Institute of Education. He started his career teaching in urban London schools before transitioning to educational research. He was dean of the School of Education at King’s College London, senior research director at the Educational Testing Service in Princeton, US, and deputy director of the Institute of Education, University of London. His research has focused on the use of assessment to support learning (sometimes called formative assessment), and he now works with groups of teachers all over the world on developing formative assessment practices. Dylan’s recent books include Creating the Schools Our Children Need and Embedded Formative Assessment.
Douglas Fisher is a professor and chair of educational leadership at San Diego State University and a teacher leader at Health Sciences High and Middle College. Previously, Fisher was an early intervention teacher and elementary school educator. In 2022, he was inducted into the Reading Hall of Fame by the Literacy Research Association. He has published numerous articles on reading and literacy, leadership, and curriculum design, as well as books such as Your Introduction to PLC+, Welcome to Teaching, How Feedback Works, Teaching Reading, and RIGOR Unveiled. Fisher loves being an educator and hopes to share that passion with others.
Nancy Frey is a professor of educational leadership at San Diego State University and a teacher leader at Health Sciences High and Middle College. Her published titles include The Courage to Learn, The Art and Science of Coaching, How Scaffolding Works, and The Illustrated Guide to Visible Learning. Frey is a credentialed special educator, reading specialist, and administrator in California and learns from teachers and students every day.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. Fuel student-driven success and enhance learning with better assessmentWhat 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 processwhat a decision-driven data collection assessment model looks like and how it differs from a more traditional data-driven decision-making modelhow to effectively establish learning intentions and success criteria within assessments to actively engage students in their own learninghow to implement an array of assessment tools that yield better evidence and improve decision-makinghow to address the challenge of ensuring authenticity in students' responses when AI-generated content is becoming more commonWith 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781071909362
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Paperback. Etat : New. Fuel student-driven success and enhance learning with better assessmentWhat 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 processwhat a decision-driven data collection assessment model looks like and how it differs from a more traditional data-driven decision-making modelhow to effectively establish learning intentions and success criteria within assessments to actively engage students in their own learninghow to implement an array of assessment tools that yield better evidence and improve decision-makinghow to address the challenge of ensuring authenticity in students' responses when AI-generated content is becoming more commonWith 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. N° de réf. du vendeur LU-9781071909362
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Paperback. Etat : New. Fuel student-driven success and enhance learning with better assessmentWhat 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 processwhat a decision-driven data collection assessment model looks like and how it differs from a more traditional data-driven decision-making modelhow to effectively establish learning intentions and success criteria within assessments to actively engage students in their own learninghow to implement an array of assessment tools that yield better evidence and improve decision-makinghow to address the challenge of ensuring authenticity in students' responses when AI-generated content is becoming more commonWith 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. N° de réf. du vendeur LU-9781071909362
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