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Evolution of Math Undergraduate Education for the Physical Sciences. Paul Zorn, St. Olaf College. INGenIOuS and workforce issues. Is there really a STEM workforce problem?. Is there really a STEM workforce problem?. Yes. STEM is not monolothic Uses of math/stats are broadening
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Evolution of Math Undergraduate Education for the Physical Sciences Paul Zorn, St. Olaf College INGenIOuS and workforce issues
Is there really a STEM workforce problem? • Yes. • STEM is not monolothic • Uses of math/stats are broadening • Diversity matters … • See the report …
http://www.maa.org/programs/faculty-and-departments/ingenioushttp://www.maa.org/programs/faculty-and-departments/ingenious
INGenIOuS Goals Planning ahead for a STEM workforce: What exists now? What’s needed? Implementation: What do stakeholders want? How best to deliver? Any low-hanging fruit? Investment: Where to target support? High- vs low-risk strategies? Who benefits?
INGenIOuS Themes Six initial themes (much more in report): Recruitment & Retention Internships Job Placement Technology & MOOCs Documentation & Dissemination Measurement & Evaluation
INGenIOuS Thread 1: Bridge gaps between BIG & academia Acknowledge & address the interests & requirements of BIG employers in educational experiences in academia. Forge new & strengthen existing relationships; promote collaborations among academia and BIG. • Connect students to BIG internship opportunities. • Develop opportunities for student research experiences onsite with BIG employers. • Disseminate information regarding the math & statistics skills & competencies needed for BIG careers.
INGenIOuS Thread 2: Improve students’ preparation for non-academic careers Math sciences students need career-appropriate preparation that emphasizes the centrality of math & stat to the STEM enterprise. Better career prospects in math & stat can boost recruitment and retention in the short term. Longer term increase in number of graduates who enter the workforce well equipped with math/stat skills & expertise. Change will be needed in curricula & in some faculty members’ perceptions & valuation of BIG careers for their students.
INGenIOuS Thread 3: Increase public awareness of the role of math & stat in both STEM and non-STEM careers Faculty, students, AND the public at large. Professional organizations should undertake an expanded, cooperative, and coordinated program. Departments should include speakers from BIG as part of regular colloquia/seminars. Awareness activities should be started in K-12 with the preparation of future school teachers.
INGenIOuS Thread 4: Diversify incentives, rewards, & methods of recognition in academia Review & revise promotion & tenure criteria to include a broader set of professional activities. Build one community with diverse faculty roles. BIG employers encourage, recognize, & reward math scientists who engage in workforce preparation. Professional organizations & funding agencies recognize exemplary programs & support replication.
INGenIOuS Thread 5: Develop alternative pathways Traditional curricula & programs … • Dominated by upper level theory courses • Need more focus on apps that reflect the complexity of BIG problems • Need more focus on big data applications, modeling, data analysis, visualization, high performance computing, & standard BIG technology Modern curricula & programs offer … • Alternative entry points besides freshman algebra or beginning calculus • Alternative options for major; interdisciplinary minors; professional master’s • Alternative remedial and general education pathways
INGenIOuS Thread 6: Build & sustain professional communities A national community focused on workforce development to share information, resources, & best practices: • Current technology tools • Assessment & evaluation • Identify internships & improve job placement Implementation: Virtual and in-person communication tools • Electronic listserv, discussion board, workshops • On-site, multi-day sessions for academics at BIG entities during which they join a team working on existing problems
CUPM (Committee on the Undergraduate Program in Mathematics)Modernizing curricula in the mathematical sciences CUPM Curriculum Guide2015
CPUM History 1 “CUPM, The History of an Idea”, W.L. Duren, Monthly, 1965 before 1915: High school becoming universal … math becoming less classical 1915-1940: “25-year depression”. High school mainly personal development, vocational training, little math 1940-1957: Revival of public support for math ed. 1952 ad hoc CUP appointed; 1953 became standing MAA committee under President E.J. McShane
CPUM History 2 “CUPM, The History of an Idea”, W.L. Duren, Monthly, 1965 1957-65: “space age” begins; huge demand, teacher shortage, perception of underpreparation of h.s. and college faculty 1965-2015: speculation on future … • “new math” will bring formerly graduate math to “freshman level” (most confident guess … ) • huge expansion in college enrollment • rise in computing …
CPUM History 3 “CUPM, The History of an Idea”, W.L. Duren, Monthly, 1965 1957-65: “space age” begins; huge demand, teacher shortage, perception of underpreparation of h.s. and college faculty 1965-2015: speculation on future … • “new math” will bring formerly graduate math to “freshman level” (most confident guess … ) • huge expansion in college enrollment • rise in computing …
CPUM History 4 “High level” math major at Northwestern U, around 1935; preparation for graduate school Year 1: College algebra analytic geometry Year 2: Differential, integral calculus Year 3: DE, advanced calculus, theory of equations Year 3: Higher geometry, functions of a real variable, honors seminar.
CPUM History 5 CUPM reports about once every 10-12 years 1953 (involved new “universal course”, tested at Tulane) 1968, 1981, 1992, 2004 2015 Curriculum Guide … in process
CUPM Guide 2015 -- Focus on Majors … The 2015 Guide aims to bring a fresh point of view to the design of mathematics majors that address the curricular demands of the wide—and widening—variety of mathematics programs now found across the nation.
CUPM Guide 2015 -- Implications for first two years • Guide mainly address majors, but they depend on first two years • Only 4 courses recommended for all students heading toward mathematics major: Calculus 1, Calculus 2, Linear Algebra, data-driven statistics course. • Guide also addresses "programs”, e.g., in mathematics of biology. Mathematics tends to come early.