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Balanced Assessment and Accountability Systems: Smarter Balanced and Beyond Stanley Rabinowitz , Ph.D. Senior Program Director WestEd CERA Annual Conference December 5, 2013. Balanced Systems Essential. Principles of a Balanced Assessment System: Accountability vs. Instruction (diagnostic)
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Balanced Assessment andAccountability Systems: Smarter Balanced and BeyondStanley Rabinowitz, Ph.D.Senior Program DirectorWestEdCERA Annual ConferenceDecember 5, 2013
Balanced Systems Essential • Principles of a Balanced Assessment System: • Accountability vs. Instruction (diagnostic) • Federal vs. State vs. Local - differentiated roles - different types of accountability • - unduplicated use of resources • Multiple Formats: multiple choice, constructed response, technology enhanced, performance assessments
A Balanced Assessment System Summative assessments Benchmarked to college and career readiness Teachers and schools have information and tools they need to improve teaching and learning Common Core State Standards specify K-12 expectations for college and career readiness All students leave high school college and career ready Teacher resources for formative assessment practices to improve instruction Interim assessments Flexible, open, used for actionable feedback
Coherence Essential • Principles of a Coherent System: • (Across/WithinAssessments and Accountability ) • Accountability judgments defensible and logical (students, educators, school) • Assessments provide timely, reliable, valid, fair, tailored, targeted information • Valid assessments do not guarantee valid accountability (each use must be separately validated) • Continuity vs. Fresh Start
Innovation Essential • Principles of an Innovative System: • Time • Expertise and Experience • Resources • Tolerance for Failure • Training/Professional Development • Low Stakes to High Stakes • Planned, Staged Rollout (1 3 5 10)
What to Look For…. • CCSS/NGSS/etc. • Technology Enhanced Item Types and Simulations • “Readiness” more than academic content knowledge: perseverance, job specific, cross discipline applications • Profile Reporting • Individualized Assessments (tagging beyond CAT) • AI Readiness (technology and human acceptance) • Challenges of “Growth” • Challenges of “Immediate” and “Too Much” • New Models of PD (on-line, COPs)