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Enhancing Statistics Education through Effective Assessment Strategies

Explore the importance of using assessments aligned with learning goals to improve student learning in statistics courses. Learn about formative and summative evaluations, feedback methods, and assessment resources for enhancing statistical literacy and reasoning. Access valuable insights from surveys conducted by Ann Ooms at the University of Minnesota.

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Enhancing Statistics Education through Effective Assessment Strategies

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  1. Assessment in First Courses of Statistics: Today and Tomorrow Ann Ooms University of Minnesota

  2. GAISE Recommendation 6 • Use assessments to improve and evaluate student learning

  3. GAISE Recommendation 6 • Assessments: aligned with learning goals • Focus Assessments: • on understanding key ideas • not just on skills, procedures, and computed answers.

  4. GAISE Recommendation 6 • Formative assessments to provide feedback to students • e.g., quizzes, midterm exams, small projects • Summative evaluations to determine what they learned • course grades

  5. GAISE Recommendation 6 • Useful and timely feedback is essential for assessments to lead to learning • Types of assessment may be more or less practical in different types of courses • However, it is possible, even in large classes, to implement good assessments

  6. Assessment Today • Two surveys conducted online • Goal surveys: evaluate ARTIST project • Assessment Resource Tools for Improving Statistical Thinking • NSF funded project • PI: Joan Garfield, Bob delMas, Beth Chance • RA: Ann Ooms

  7. Assessment Today • Introductory Statistics Educators: n=194 • December 2004: ARTIST users: n = 99 • Statistics Educators who use ARTIST item database • June 2005: non ARTIST users: n = 95 • Used stat ed list serves • Combined data of 2 surveys

  8. Demographics • Years teaching experience: • Mean: 14.99 (SD: 10.85) • Range: 1 to 48 years • Number of intro stats courses per year: • Mean: 2.88 (SD: 2.06) • Range: 0 to 17 courses

  9. Demographics: Institution

  10. Demographics: Department

  11. Types of Assessment • GAISE Recommendation: • This should be done with formative assessments used during a course (e.g., quizzes and midterm exams and small projects) as well as with summative evaluations (course grades). • Survey Question: • Which of the following types of assessment do you use in your course?

  12. Types and Use of Assessment

  13. Assessment: Focus • GAISE Recommendation: • Assessments need to focus on understanding key ideas and not just on skills, procedures, and computed answers. • Survey question: • What percent of items on your in-class tests are primarily computational?

  14. Percent of in-class tests items that are primarily computational

  15. Assessment: Feedback • GAISE recommendation: • Useful and timely feedback is essential for assessments to lead to learning. • Survey question: • For which of the following purposes have you used assessment results? • Which of the following actions have you taken based on assessment information?

  16. Assessment: Purposes

  17. Assessment: Actions

  18. Level of satisfaction with assessment methods

  19. Confidence with writing good assessment items

  20. Assessment Resources • ARTIST: http://www.gen.umn.edu/artist/ • Database of over 1100 items focusing on assessment of • Statistical literacy • Statistical reasoning • Statistical thinking • 11 Topic scales: online tests for formative evaluation • CAOS scale: online tests for summative evaluation • Projects • Resources, examples, articles.

  21. Contact Information • For more information, please contact Ann Ooms: • ooms0001@umn.edu

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