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 is 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: (1) the importance of assessment in the teaching and learning process; (2) what a decision-driven data collection assessment model looks like and how it differs from a more traditional data-driven decision-making model; (3) how to effectively establish learning intentions and success criteria within assessments to actively engage students in their own learning; (4) how to implement an array of assessment tools that yield better evidence and improve decision-making; and (5) 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 will 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. [This book is part of the Fisher-Frey Imprint.]