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SYNTHESIS THROUGH SERVICE LEARNING IN STATISTICS

SYNTHESIS THROUGH SERVICE LEARNING IN STATISTICS. Gina Reed Gainesville State College. ASA/MAA Recommendations. Emphasize the elements of statistical thinking Incorporate more data and concepts Foster active learning. GAISE Process. Formulate Statistical Question Collect Data

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SYNTHESIS THROUGH SERVICE LEARNING IN STATISTICS

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  1. SYNTHESIS THROUGHSERVICE LEARNING IN STATISTICS Gina Reed Gainesville State College

  2. ASA/MAA Recommendations • Emphasize the elements of statistical thinking • Incorporate more data and concepts • Foster active learning

  3. GAISE Process • Formulate Statistical Question • Collect Data • Analyze Data • Interpret Results

  4. Definition of Service Learning in Statistics • A concrete application of statistical methods using real data with the analysis and interpretation that is useful to a community agency

  5. Course Level • Introductory Statistics • Introductory Honors Statistics • Data Analysis and Probability For Elementary Education

  6. Necessary Technology • Minitab Software • Graphing Calculator • Word

  7. Potential Client Pool • United Way agencies • Community groups • K-12 schools • Local businesses

  8. Initial Client Contact • Professor • Student

  9. Client Selection • Suitability (mutually beneficial) • Instrument Development • Data Collection • Data Analysis

  10. Project Description • Statistical Question • Clarify the problem • Question formulation must be answered using data • Data Collection • Design a plan • Employ plan

  11. Project Description • Data Analysis • Select appropriate graphs and numeric measures • Interpretation • Relate interpretation to answering the original question • Executive Summary • Written report • Oral report

  12. Labs and Class Activities • Measures of Central Tendency • Measures of Variation • Graphs (Histograms, Bar Graphs, Scatterplots, etc.) • Correlation (if feasible) • Confidence Intervals • Hypothesis Testing

  13. Timeline • First day of class-General description • Fourth week-Initial contact and questions • Eighth week-Data collection • Twelfth week-Preliminary written report • Sixteenth week • Final written report • Oral presentation

  14. Grading • Individual grade • Written component • Oral component • Group grade

  15. Group Member Evaluation • Please list each member’s name, including yourself, and evaluate them on scale of 0 to 100 in each category. • Initial Planning • Organization skills • Leadership • Attendance at meetings • Data entry • Minitab participation • Written report participation • Oral report preparation • Overall performance • Additional comments:

  16. Student Reflective Process • Necessary component of service learning • Written • Oral

  17. Considerations • Pre-semester contact • Reconfiguration of curriculum • Agency’s priorities • Post-semester contact

  18. Impact • Course • Students

  19. Student Evaluation of Project • I better understood the material covered in the course • I can write more effectively using statistical language. • I am more competent using technological tools (i.e. calculators, computer software). • I can see the "real world" applications of statistics. • Is a positive addition to the course. • What did you like best about the project? • What did you like least about the project?

  20. Grading rubric for written/oral reports • Problem Identification/Question Formulation • Clear description of data collection  • Clear description of data analysis •  Analysis/ Interpretation technically correct •  Readability of visual aids •  Transitions •  Closing •  Executive Summary

  21. Resources • Mathematics In Service To The Community: Concepts and Models for Service-Learning in Mathematical Sciences , MAA Notes #66, Charles Hadlock, Editor • Guidelines for Assessment and Instruction in Statistics Education (GAISE) Report, ASA, Franklin et al., 2007 http://www.amstat.org/education/gaise/

  22. Contact Information greed@gsc.edu

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