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Multiple Methods, More Success: How to Help Students of All Learning Styles Succeed in Quantitative Political Analysis Courses

Published online by Cambridge University Press:  10 May 2005

Amy R. Gershkoff
Amy R. Gershkoff
Affiliation:
Princeton University
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Extract

It is often advised to “know your audience” before giving a lecture, and this is especially important when we lecture to students. Moreover, knowing your audience is critical in quantitative analysis courses, where it can be especially challenging to teach mostly math-phobic students. But it is in quantitative analysis courses where faculty may know their audience the least. While many subfields in the discipline have implemented pedagogical innovations such as seminar-style discussion, simulations, and even learning communities, quantitative methods courses seem to be the last hold-out for the traditional lecture format.

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Type
THE TEACHER
Information
PS: Political Science & Politics , Volume 38 , Issue 2 , April 2005 , pp. 299 - 304
Copyright
© 2005 by the American Political Science Association

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References

Bayne Rowan. 1995. The Myers-Briggs Type Indicator: A Critical Review and Practical Guide. London: Chapman & Hall.Google Scholar
Brock Kathy L., and Beverly J. Cameron. 1999. “Enlivening Political Science Courses with Kolb's Learning Preference Model.” PS: Political Science and Politics 32 (June): 251– 256.CrossRefGoogle Scholar
Devlin Keith. 2000. “Johnny Might Not be Math-Challenged; His Problem Could Just Be that He's an Auditory Learner.” In “Devlin's Angle,” a publication of The Mathematical Association of America Online (MAA Online). www.maa.org/devlin/devlin_1_00.html. Accessed December 19, 2002.Google Scholar
Fox Richard L., and Shirley A. Ronkowski. 1997. “Learning Styles of Political Science Students.” PS: Political Science and Politics 30 (December): 732– 737.CrossRefGoogle Scholar
Gardner Howard. 1983. Frames of Mind: The Theory of Multiple Intelligences. New York: Basic Books.Google Scholar
Hibbison Eric. 1999. “Multiple Intelligences.” Based on the research of Rene Diaz-Lefebrve. http://vccslitonline.cc.va.us/mrcte/multiple.htm. Accessed June 10, 2004.Google Scholar
Jung C. 1923. Psychological Types. New York: Harcourt, Brace & Co.Google Scholar
Kantrowitz Barbara, and Pat Wingert. 2000. “Doctor's Orders: Pediatrician Mel Levine Wants to Revolutionize American Education by Showing Teachers How Children Think.” Newsweek, October 2, 45– 48.Google Scholar
Kolb D. A. 1985. Learning Style Inventory. Boston: McBer and Co.Google Scholar
Math Matters. 1998. “Learning Styles.” http://www.mathmatters.net/learnsty.htm. Accessed December 19, 2002. Also available on CDROM from Stockon Multimedia Productions.Google Scholar
Myers-Briggs. 1995. Gifts Differing: Understanding Personality Type. Palo Alto: Consulting Psychologists Press.Google Scholar
“Personality and Cognitive Learning Styles of Academically Talented Students.” Johns Hopkins University Center for Talented Youth. http://cty.jhu.edu/research/topical2.html. Accessed December 19, 2002.Google Scholar
Russell Martin and Associates. “Accelerated Learning.” White Paper. http://www.russellmartin.com/ALCutter.asp. Accessed June 10, 2004.Google Scholar
Silver Harvey F., Richard W. Strong, and Matthew J. Perini. 2000. So Each May Learn: Integrating Learning Styles and Multiple Intelligences. Alexandria, VA: Association for Supervision and Curriculum Development.Google Scholar