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Developing Teachers' Understanding of Statistics

This session provides an overview of the LOCUS Assessments and discusses teachers' performance on the assessments. It also introduces materials for teacher development in the LOCUS Assessment Project.

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Developing Teachers' Understanding of Statistics

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  1. Developing Teachers’ Understanding of StatisticsTim JacobbeUniversity of Floridajacobbe@coe.ufl.edu DRL-1118168

  2. Overview of Today’s Session • Overview of the LOCUS Assessments • Teachers’ Performance on LOCUS • Some Materials for Teacher Development

  3. LOCUS Assessment Project • Principal Investigator: Tim Jacobbe, University of Florida • Co-Principal Investigators • Bob delMas, University of Minnesota • Jeff Haberstroh, Educational Testing Service (ETS) • Brad Hartlaub, Kenyon College • External Evaluator: Jim Hammerman, TERC • Research Fellows: Catherine Case, Steven Foti, Douglas Whitaker, University of Florida

  4. An Amazing Team • Advisory Board: David Miller, Dick Scheaffer, Mike Shaughnessy, Jane Watson • Beginning/Intermediate Items (Grades 6-9): Chris Franklin, Brad Hartlaub, Gary Kader, Mary Lindquist, and Jerry Moreno • Intermediate/Advanced Items (Grades 10-12): Bob delMas, Roxy Peck, Mike Perry, and Josh Tabor

  5. LOCUS: Three Broad Goals • Develop instruments to assess levels of statistical understanding as initially defined in the CCSS and the Guidelines for Assessment & Instruction in Statistics Education (GAISE) framework (Change the way statistics is assessed) • Provide a characterization of the level of understanding of statistical topics • Provide a tool for researchers and teachers to assess growth in statistical understanding

  6. Evidence-Centered Design: 5 Layers • Domain Analysis: GAISE, CCSS, learning trajectories from statistics education research • Domain Modeling: Advisory Board provide feedback on mapping of CCSS and GAISE • Conceptual Assessment Framework: Evidence Model derived from domain analysis • Assessment Implementation: Develop and pilot assessment tasks • Assessment Delivery: Final forms of assessments & dissemination of results

  7. Design of Experiments Final Evidence Model

  8. Three Levels from GAISE Framework • Ideally (Franklin & Mewborn, 2006) • A: Elementary school grades • B: Middle school grades • C: High school • Two levels of Assessment: • Beginning and Intermediate (Levels A and B) • Intermediate and Advanced (Levels B and C)

  9. Approximate Emphasis on Practice and Process Components of Statistical Problem Solving

  10. Teachers’ Performance

  11. Teachers’ vs. Students’ Performance

  12. Formulate Questions

  13. Collect Data

  14. Analyze Data

  15. Interpret Data

  16. What Should We Do? • Teacher performance is encouraging considering there has been limited training • LOCUS Measures Statistical Understanding Expected of STUDENTS in grades 6-12

  17. ASA’s Statistics Education of Teachers

  18. ASA and NCTM K-12 Resources

  19. ASA K-12 Resources

  20. Some Ongoing Projects • NSF-Funded CAREER: Investigating Middle and Secondary Mathematics Teachers” Transformative Learning of Statistics within Professional Development (PI: Sue Peters, University of Louisville) • MOOC-Ed Teaching Statistics Through Data Investigations http://mooc-ed.org/tsdi (PI: Hollylynne S. Lee) • Project-SET: Statistics Education for Teachers (PI: Anna Bargagliotti)

  21. https://locus.statisticseducation.org

  22. Register for an Account

  23. Next Step for LOCUS • Website aimed at professional development of teachers • Commentaries • Sample items • Evidence Model • Continue to influence statistics items on high-stakes assessments

  24. Thank You for Participating (or Watching) Tim Jacobbe, jacobbe@coe.ufl.edu DRL-1118168

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