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Modeling across the Curriculum Modeling across the Curriculum

Modeling across the Curriculum - PowerPoint Presentation

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Modeling across the Curriculum - PPT Presentation

The STEM Disciplines What are some key issues How is the community responding What curricular changes improvements are needed The First Two Years of College Math Building Student Success Peter Turner ID: 622500

2014 math building success math 2014 success building student years college october forum cbms modeling mac siam stem undergraduate

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Slide1

Modeling across the CurriculumThe STEM Disciplines

What are some key issues?How is the community responding?What curricular changes/ improvements are needed?

The First Two Years of College Math: Building Student Success

Peter Turner SIAM Vice President for EducationDean of Arts & Sciences, Professor of Mathematics and Computer Science,Clarkson Universitypturner@clarkson.edu vpeducation@siam.org

* NSF/EHR/DUE Awards

1206230 &

1352973

,

Education and

Human

Resources Directorate Slide2

Key issues: Some of them

Preparation & Readiness for STEM majorsCU STEM admissions data Outdated curricula and delivery methodsPCAST Engage to ExcelMath 2025

Workforce issuesVery few “future math profs” in large core math classesTeach the students we have, not the ones we dream ofINGenIOuSStudent “demands” for relevant education

BUT with care over “training vs. education”CBMS Forum October 2014The First Two Years of College Math: Building Student Success2Slide3

CBMS Forum October 2014

The First Two Years of College Math: Building Student Success

3

STEMdoesn’t happenSlide4

So, what is being done?

Multiple initiatives in the Math Sciences communityModeling across the CurriculumTPSE-MathMAA-led Common Vision for Undergraduate Math in 2025CSE Future WorkshopMultiple curricular reports:

CUPM Guidelines (2015?) Greater emphasis on applied topics than previouslySIAM Report on Undergraduate CS&E (2011)SIAM Report

on Applied Math undergraduate programs (2014)Future Directions in CSE Workshop, August 2014INGenIOuSCBMS Forum October 2014The First Two Years of College Math: Building Student Success4Slide5

So, what is being done?

Changing nature of both Math majors and of “service” coursesModeling, computation, statisticsProject-based learningTeamwork, etc. SIAM Undergraduate Research Online, SIUROMAA-SIAM PIC (preparation for Industrial Careers) Math project

More internship opportunitiesImplications for K-12 and Teacher Preparation

CBMS Forum October 2014The First Two Years of College Math: Building Student Success5Slide6

Modeling across the Curriculum

Two SIAM-NSF WorkshopsAugust 30 -31, 2012 at NSF January 12- 14, 2014 at ASADraft report near completeEngage and Keep Young People in STEM,

from K12 through Undergrad (and Grad) Studies, and into the Workforce

CBMS Forum October 2014The First Two Years of College Math: Building Student Success6Slide7

MaC I Recommendations

Four categoriesExpanding modeling in K-12Development of a high school one semester, or one year modeling course (with stratified content)Develop modeling-based undergraduate curriculaDevelop a repository of materials for math modeling instruction and

understanding

CBMS Forum October 2014The First Two Years of College Math: Building Student Success7Slide8

MaC II

Three primary topic areas:Early grades (Rachel Levy coordinating)Middle/High School (Katherine Socha)Undergrad curricula (Jeff Humpherys

)MaC II process:Developing clear list of deliverablesIntro from Joan

Ferrini-MundyKeynote on Math2025, Panel on opening afternoon advance this processCBMS Forum October 2014The First Two Years of College Math: Building Student Success8Slide9

MaC II Panel

Used to “set the scene” and review some of the discussions at MaC I:Definition of modelingStand alone vs. infusionSetting goals for MaC II sessionsThe role of algorithmsModeling at different educational levels and in different disciplinary contexts

Assessment

CBMS Forum October 2014The First Two Years of College Math: Building Student Success9Panel members: Jeff Humpherys, Rachel Levy, Katherine SochaModerator: TurnerSlide10

Discussion Topics

Programs: Courses, Programs, Degrees, Summer Experiences, Internships“Infusion” or stand alone? (“Trojan mice”)Materials: Books, Videos, Software, Posters, Websites, MOOCs? Informal education (MoMath?)

Training: Pre-service and in-serviceWays of interacting with teachers/ faculty/ TAs and students (and perhaps parents)

CBMS Forum October 2014The First Two Years of College Math: Building Student Success10Slide11

Some MaC II undergrad recommendations*

Proposal for NRC Study/ReportResponse to Joan Ferrini-Mundy’s Challenge to think about effective ways to educate students at the crossroads of:Mathematical modelingData science

Information scienceComputational scienceComputational thinking

CBMS Forum October 2014The First Two Years of College Math: Building Student Success11* Credit to Jeff Humpherys for some of this contentSlide12

Modeling and the Pipeline:

Attracting and retaining STEM students

A study/paper on recommended topics to address:How to achieve

the 34% increase in Engage to Excel.Multiple entryways? A non-calculus track for freshman modeling?DiversityFocus on Jobs!Teaching needs to match what we expectCBMS Forum October 2014The First Two Years of College Math: Building Student Success12Slide13

Two Recommendations for Professional Organizations

Form a SIAM Activity Group (SIAG) in Applied Mathematics EducationDone!SIAG Ed was approved at SIAM Council and Board in JulyBegins operation in January 2015

Plans for First SIAG Ed conference to coincide with, and broaden, MaC IIISIAM Education VP needs to continue to work with other VPs and other societiesNew VP for Education starts in January 2015, Rachel Levy

CBMS Forum October 2014The First Two Years of College Math: Building Student Success13Slide14

What are “new” key areas for undergrad math?

A modern math sciences undergraduate education should include at least some introduction toAlgorithms and Analysis (Data Structures, Approximation Theory, Numerical Analysis, Computational Science)

Distributed Computing and Big Data (MPI, Hadoop, noSQL)Data Analytics (Regression, Estimation, SQL, R/Python)Modeling with Probability and Stochastic Processes

Bayesian Statistics and Machine LearningDynamical Systems (ODE, PDE, SDE)Optimization and ControlCBMS Forum October 2014The First Two Years of College Math: Building Student Success14Slide15

Why? Actual

Job from CareerBuilder.comCBMS Forum October 2014

The First Two Years of College Math: Building Student Success

15