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: on understanding key ideas not just on skills, procedures, and computed answers. 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 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 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 Assessment Today Introductory Statistics Educators: n=194 December 2004: ARTIST users: n = 99 June 2005: non ARTIST users: n = 95 Statistics Educators who use ARTIST item database Used stat ed list serves Combined data of 2 surveys 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 Demographics: Institution University 56.3% 4-year College 31.1% 2-year College 5.3% Technical College .5% Other 6.8% Demographics: Department Mathematics 54.0% Statistics 17.6% Business 7.0% Educational Psychology 7.0% Psychology 2.1% Other 12.3% 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? Types and Use of Assessment Type Yes Info Grade Exams 97.9% 2.1% 97.9% Homework 87.5% 17.9% 82.1% Projects 73.0% 8.6% 91.4% Quizzes 71.9% 10.1% 89.9% Participation 58.3% 42.9% 57.1% Presentation 16.6% 50.0% 50.0% 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? Percent of in-class tests items that are primarily computational Use of Computational Items 40% 35% 30% 34.2% 35.3% 21.4% 25% 20% 15% 10% 9.1% 5% 0% 0-25% 26-50% 51-75% 76-100% 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? Assessment: Purposes Identify misconceptions 86.1% Provide diagnostic feedback 73.7% Identify struggling students 51.0% Assessment: Actions Modified classroom activity 85.6% Provided additional resources 71.6% Developed a new classroom activity 68.0% Modified assessment tools 53.1% Modified assessment plan 26.3% Level of satisfaction with assessment methods Satisfaction Assessment Methods 80% 70% 60% 50% 40% 30% 20% 10% 0% 76.06% 12.77% 10.64% 0.53% very somewhat dissatisfied dissatisfied somewhat satisfied very satisfied Confidence with writing good assessment items Confidence Writing Items 60% 53.20% 50% 40% 29.30% 30% 13.80% 20% 10% 3.70% 0% not confident somewhat confident confident very confident 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. Contact Information For more information, please contact Ann Ooms: ooms0001@umn.edu