The Trouble with 5 Examples SoCal-Nev Section MAA Meeting October 8, 2005

1. The Trouble with 5 ExamplesSoCal-Nev Section MAA MeetingOctober 8, 2005 Jacqueline Dewar Loyola Marymount University

2. Presentation Outline • A Freshman Workshop Course • Four Problems/Five Examples • Year-long Investigation • Students’ understanding of proof

3. The MATH 190-191 Freshman Workshop Courses • Skills and attitudes for success • Reduce the dropout rate • Focus on • Problem solving • Mathematical discourse • Study skills, careers, mathematical discoveries • Create a community of scholars

4. Regions in a CircleWhat does this suggest?

5. Prime Generating Quadratic Is it true that for every natural number n, is prime?

6. Count the zeros at the end of 1,000,000!

7. Observed pattern: If 4 divides n, then n! ends in zeros. Counterexample: 24! ends in 4 not 5 zeros.

8. Where do the zeros come from? From the factors of 10, so count the factors of 5. There are Well almost…

9. Fermat Numbers • Fermat conjectures (1650) Fn is prime for every nonnegative integer. • Euler (1732) shows F5 is composite. • Eisenstein (1844) proposes infinitely many Fermat primes. • Today’s conjecture: No more Fermat primes. =

10. The Trouble with 5 Examples Nonstandard problems give students more opportunities to show just how often 5 examples convinces them.

11. Year-long Investigation • What is the progression of students’ understanding of proof? • What in our curriculum moves them forward?

12. Evidence gathered first • Survey of majors and faculty

13. Respond from Strongly disagree to Strongly agree: If I see 5 examples where a formula holds, then I am convinced that formula is true.

14. 5 Examples: Students & Faculty

15. Faculty explanation ‘Convinced’ does not mean ‘I am certain’… …whenever I am testing a conjecture, if it works for about 5 cases, then I try to prove that it’s true

16. More evidence gathered • Survey of majors and faculty • “Think-aloud” on proof - 12 majors • Same “Proof-aloud” with faculty expert • Focus group with 5 of the 12 majors • Interviews with MATH 191 students

17. Proof-Aloud Protocol Asked Students to: • Investigate a statement (is it true or false?) • State how confident, what would increase it • Generate and write down a proof • Evaluate 4 sample proofs • Respond - will they apply the proven result? • Respond - is a counterexample possible? • State what course/experience you relied on

18. Please examine the statements: For any two consecutive positive integers, the difference of their squares: (a) is an odd number, and (b) equals the sum of the two consecutive positive integers. What can you tell me about these statements?

19. Proof-aloud Task and Rubric • Elementary number theory statement • Recio & Godino (2001): to prove • Dewar & Bennett (2004): to investigate, then prove • Assessed with Recio & Godino’s 1 to 5 rubric • Relying on examples • Appealing to definitions and principles • Produce a partially or substantially correct proof • Rubric proved inadequate

20. R&G’s Proof Categories

21. Students’ Level Relative Critical Courses

22. Level in Major vs Proof Category

23. Multi-faceted Student Work • Insightful question about the statement • Advanced mathematical thinking, but undeveloped proof writing skills • Poor strategic choice of (advanced) proof method • Confidence & interest influence performance

24. Proof-aloud results • Compelling illustrations • Types of knowledge • Strategic processing • Influence of motivation and confidence • Greater knowledge can result in poorer performance • Both expert & novice behavior on same task

25. How do we describe all of this? • Typology of Scientific Knowledge (R. Shavelson, 2003) • Expertise Theory (P. Alexander, 2003)

26. Typology: Mathematical Knowledge • Six Cognitive Dimensions (Shavelson, Bennett and Dewar): • Factual: Basic facts • Procedural: Methods • Schematic: Connecting facts, procedures, methods, reasons • Strategic: Heuristics used to make choices • Epistemic: How is truth determined? Proof • Social: How truth/knowledge is communicated • Two Affective Dimensions (Alexander, Bennett and Dewar): • Interest: What motivates learning • Confidence: Dealing with not knowing

27. School-based Expertise Theory: Journey from Novice to Expert 3 Stages of expertise development • Acclimation or Orienting stage • Competence • Proficiency/Expertise

28. MathematicalKnowledge Expertise Grid

29. MathematicalKnowledge Expertise Grid

30. Implications for teaching/learning • Students are not yet experts by graduation e.g., they lack the confidence shown by experts • Interrelation of components means an increase in one can result in a poorer performance • Interest & confidence play critical roles • Acclimating students have special needs

31. What we learned aboutMATH 190/191 • Cited more often in proof alouds • By students farthest along • Partial solutions to homework problems • Promote mathematical discussion • Shared responsibility for problem solving • Build community

32. With thanks to Carnegie co-investigator, Curt Bennett and Workshop course co-developers, Suzanne Larson and Thomas Zachariah. The resources cited in the talk and the Knowledge Expertise Grid can be found at http://myweb.lmu.edu/jdewar/presentations.asp