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Assessment in First Courses of Statistics: Today and Tomorrow

Assessment in First Courses of Statistics: Today and Tomorrow. Ann Ooms University of Minnesota. GAISE Recommendation 6. Use assessments to improve and evaluate student learning. GAISE Recommendation 6. Assessments: aligned with learning goals Focus Assessments:

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Assessment in First Courses of Statistics: Today and Tomorrow

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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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