Literature Resources for Broadening Access to Science & Math
Many of these resources were taken from the extended reading list for the Symposium on Diversity in the Sciences held at Harvard University in November 2005 (attended by several Carleton faculty and staff).
Stereotype Threat
Stereotype Threat: "The threat of being viewed through the lens of a negative stereotype, or the fear of doing something that would inadvertently confirm that stereotype." Research shows that when students felt they were being judged by stereotypes, they performed less well; this was found to be more true of higher-achieving students (from 1999 article below by Claude Steele).
G.L. Cohen, J. Garcia, N. Apfel and A. Master (2006). "Reducing the Racial Achievement Gap: A Social-Psychological Intervention" (Acrobat (PDF) 230kB Sep7 06), Science 313, p. 1307-1310. Listen to Sept. 1, 2006 Science Podcast
Michael Johns, Micheal, Schmader, Toni and Martens, Andy (2005). "Knowing is Half the Battle. Teaching Stereotype Threat as a Means of Improving Women's Math Performance", Psychological Science 16, p. 175-179.
Cohen, Geoffrey L. and Steele, Claude M. (2002). "A Barrier of Mistrust: How Negative Stereotypes Affect Cross-Race Mentoring". In Improving Academic Achievement, Chapter 15, Elsevier Science (USA).
Steele, Claude M. (1999). Thin Ice. "Stereotype Threat" and Black College Students, Atlantic Monthly 284 (2).
Steele, Claude (1997). "A Threat in the Air: How Stereotypes Shape Intellectual Identity and Performance" American Psychologist 52, 613-629.
Effective Work in Diverse Groups & Teams
Schreyer Institute for Teaching Excellence, Penn State University, Puzzled About Teams, by Gill, Heermans, and Herath.
Larry K. Michaelsen, Arletta Bauman Knight, and L. Dee Fink, editors (2004). Team-Based Learning: A Transformative Use of Small Groups in College Teaching. Stylus Publishing .
Problem Solving
Asera, Rose, "Pipeline or Pipedream: Another Way to Think about Basic Skills", Carnegie Conversations, posted Aug. 14, 2006.
On teaching problem solving:
- Mathematical problem solving (University of Georgia)
- Problem solving and creativity (engineering)
- Transforming novice problem solvers into experts (Teaching and Learning Laboratory at MIT)
- Problem Solving for Life: A Training Program in Interpersonal Skills (University of North Carolina Chapel Hill, Center for Teaching & Learning)
- McMaster Problem Solving Program
- Teaching problem solving in an introductory computer science class
- 10 Tips for Teaching Problem Solving (UC Santa Barbara TA Training document)
- How to use examples effectively (UC Santa Barbara TA Training document)
- Problem solving in engineering at the University of Arizona
- Teaching problem solving (James Stice, U. of Texas Austin)
Legal Issues
Mervis, Jeffrey, "U.S. Plans Suit to Stop Minority-Only Programs" Science 310 (November 25, 2005).
What Works for Under-Represented Students at Other Institutions
Cornell University Working Group (2006). Eliminating Racial and Ethnic Disparities in College Completion and Achievement: A Teagle Working Group on What Works and Why.Gandara, Patricia, and Maxwell-Jolly, Julie "Priming the Pump: Strategies for Increasing the Achievement of Underrepresented Minority Undergraduates". The College Board (December 1999). The most recent review article on this topic.
Summers, Michael F. & Hrabowski III, Freeman A. "Preparing Minority Scientists and Engineers" Science 311 (March 31, 2006). On the nationally recognized Meyerhoff Scholars Program at the University of Maryland, Baltimore County. Also see the 2004 Evaluation report on this program. This article talks about the Meyerhoff Scholars Program, founded in 1989, at the University of Maryland, Baltimore County. The program is devoted to eradicating the belief that underrepresented students, particularly blacks, are not interested on pursuing careers in the sciences. Up to 2006, the program has supported 768 students, 260 of which are currently undergraduates. According to the data presented, students who entered the program are twice as likely to earn a science or engineering bachelor's degree, and 5.3 times more likely to enroll in post-college graduate study. The program model is comprised of four objectives: academic and social integration, knowledge and skill development, support and motivation, and monitoring and advising. Key program elements include: 1) recruiting a substantial pool of high-achieving minority students with interest in science and engineering, 2) merit based scholarships, 3) an orientation program for incoming freshman, 4) recruiting research-active faculty to work with the students, and 5) involving students in research as early as possible. The program encourages students to excel, earn top grades, and prepare for graduate school. They note that encouraging high academic performance in the first two years is critical. (Sara Lopez)