quantitative reasoning at umass boston | may 1, 2012 quantitative reasoning at umass boston fourteen...

Quantitative Reasoning at UMass Boston | May 1, 2012

Quantitative Reasoning at UMass Boston

Fourteen Years of Experience

Mark Pawlak, DirectorAcademic Support and Quantitative Reasoning Programs

Quantitative Reasoning at UMass Boston | June 5, 2012

General Education at UMass Boston

In 2002, a new general education program was put in place after 4 years of faculty discussion and planning with the following principles as its foundation

▸ Critical analysis and logical thought▸ Verbal and quantitative reasoning▸ Human diversity▸ Principal approaches to knowledge

Core elements include

▸ Writing--English Composition I & II

▸ First Year & Intermediate Seminar

▸ Mathematics/Quantitative Reasoning

▸ Distribution courses in several areas

▸ Writing Proficiency Requirement

▸ Capstone in major


Assessing Student Learning in Quantitative Reasoning:

A Dynamic, Evolving Process

Mark PawlakDirector, Academic Support and Quantitative Reasoning Programs

Chair, Quantitative Reasoning Assessment Committee University of Massachusetts Boston


The Mathematics/Quantitative Reasoning Requirement

▸ All students must “demonstrate competence in mathematics/quantitative reasoning.”

▸ B.S. students must take Calculus I (a traditional Calculus course)

▸ B.A. students have several choices:

– Test into PreCalculus or Calculus

– Take Statistics (taught by Math, Psychology, Sociology, Economics, etc.)

– Take College Algebra

– Take a Quantitative Reasoning course

▸ Each semester, approximately 200 - 250 students choose a QR course.


Quantitative Reasoning Courses

Math 114Q▸ Mathematics offers the primary QR

course▸ This is the lowest-level course Math

offers▸ Prerequisite: (outdated) placement test▸ All sections are taught in a computer lab▸ QR faculty are primarily adjuncts (90%)▸ Class size is small (20 - 23 students)▸ Many students come out of

developmental math courses and are math phobic; have weak skills; hate math

▸ All topics are motivated using real world data, course follows an investigations pedagogy

▸ Technology is used as a tool and as way of seeing patterns.

QR Course Guidelines

▸ Required topics are:descriptive statisticslinear modelsexponential models and/or

probabilityuse of technology (graphing calculators or computers)

▸ Students learning outcomes:engage in critical reading and

analysisspeak, listen and write

effectivelyuse technology to further

learningwork independently and collaborativelyreason logically and

quantitatively


QR Assessment Cycle


Student self-assessment

Self-reflection:▸ Students complete an “automathography” at the

beginning of the semester and a reflection at the end of the semester – this is viewed only by the instructor

Course assessment and evaluation:▸ Student questionnaire given to all students

▸ Demographic data▸ Self-assessment of technical skills and QR skills▸ Attempts to measure attitudinal change

▸ Administered online with support from the mathematics department

▸ Faculty log in to view their students’ responses and course-wide responses.


Sample Questions – Student Questionnaire


Faculty self-assessment

▸ QR faculty meet each semester to “de-brief”▸ Discussions include

▸ What worked▸ What didn’t work▸ Issues of support and training▸ Student learning outcomes and course objectives▸ Assessment information▸ Resources and information


Holistic grading of common final exam problems

▸ QR faculty agree on a set of problems that will appear on all finals across sections

▸ Generally 5-6 problems, covering main student learning outcomes

▸ After semester grades have been submitted a sample of finals from each section is graded holistically

▸ Initially, holistic grading was done by QuAC members▸ QR faculty now participate in the holistic grading▸ End of semester QR faculty debriefing and holistic

exam grading are now combined.


Sample Exam Question

▸ On April 19, 2012, the Boston Globe reported that “MIT physicist leads effort to scrap the penny. Finds himself at center of passionate debate about coin,” (http://www.bostonglobe.com/business/2012/04/18/mit-physicist-jeff-gore-leads-effort-scrap-penny/Xz04E54R4BTkoDTYIOpnJO/story.html )

▸ “[Jeff] Gore, who has become an unlikely national spokesman for efforts to eliminate the penny, is gaining fresh hope that the United States might finally dump the coin. Canada recently announced it would get rid of its one-cent piece by the end of the year even as the US Mint reported it is losing more money than ever to produce the coin..

▸ The following graphs are from the article:


Question: The print version of the article noted that in 2011 there were 4,289 million pennies shipped. Confirm that this number of

pennies is consistent with the 2011 data from the two graphs below .


Common Final Exam sample problem 2

1. An article about the US Postal Service in the New York Times on December 4, 2011 stated that

First-class mail — items like bills and letters that require a 44-cent stamp — fell 6.6 percent in 2010 alone, continuing a five-year-long plunge. Last year … there were 9.3 billion pounds of ‘standard mail’ — the low-cost postage category available to mass advertisers — but only 3.7 billion of first-class mail.www.nytimes.com/2011/12/04/sunday-review/the-junking-of-the-postal-service.html)a. A graphic next to the article said that standard mail in 2010 amounted to 30.3 pounds for every adult and child in the US. Verify this 30.3 pounds per person figure.b. How many pounds of first class mail did the Post Office deliver in 2009?c. First class mail mostly consists of bills, credit card statements, personal letters and greeting cards. First class postage is 44 cents for the first ounce and 20 cents for each additional ounce. Estimate the total cost of the postage on first class mail in 2010.


Scoring Rubric – sample question

2 = full understanding; 1 = partial understanding; 0 = little or no understanding

mean median

Demonstrated ability to identify and extract relevant data from complex verbal text and apply it to problems.

1.4 1.2

Able to verify textual claims through an appropriate set of calculations.

1.0 1.0

Accurately performed backward percentage calculation to determine a prior year value.

0.9 1.0

Performed a complex calculation involving estimation and multiple unit conversions.

1.0 1.0


Outcomes:What we have learned

▸ Students appreciate how math (algebra) can be meaningful in the real world

▸ Students gain proficiency in using Excel and value it for use in future coursework & employment

▸ Student develop habit of Internet searching (primarily Google) and back-of-the-napkin problem solving to verify data claims and apply this to other contexts

▸ Faculty uniformly address QR topics and competencies with varied emphasis

▸ Some mathematics topics remain challenges for teaching and learning


Assessing QR Assessment

Lessons

▸ Importance of continual evolution and refinement of instruments and methods

▸ Adequate resources for faculty release time & administrative support are needed to conduct assessment; collect and analyze data

▸ Importance of faculty involved in modifying course/program based on results of assessment

Challenges

▸ Timely compilation of common final exam

▸ Timely administration of questionnaire

▸ Conducting timely holistic grading; assessing results and discussing with faculty

▸ Faculty buy-in to course and program modifications based on assessment


Some new initiatives & goals at UMass Boston

▸ Recruiting statistics faculty from relevant majors and all colleges to QUAC to review alignment of MA 114Q with their courses

▸ Developing appropriate placement instruments for MA 114Q and for statistics

▸ Collaborating with Carnegie Foundation Statway and Quantway initiatives to accelerate developmental math coursework

▸ Recruiting STEM science faculty to embed relevant QR assignments in their courses

▸ Using the QR VALUE rubric to complement current holistic assessment of student learning in MA 114Q


Resources

Numeracy article: QRCW Rubricshttp://scholarcommons.usf.edu/numeracy/vol4/iss2/art8/

▸ SIGMAA on Quantitative Literacy: http://sigmaa.maa.org/ql/

▸ Common Sense Mathematics (UMass Boston)http://quantitativereasoning.net/

See also: ▸ “Quantitative Reasoning at the University of Massachusetts Boston,”

M. Mast and M. Pawlak, in Current Practices in Quantitative Literacy, edited by R. Gillman, MAA publications, 2006

Contacts:▸ [email protected]▸ [email protected]

quantitative reasoning at umass boston | may 1, 2012 quantitative reasoning at umass boston fourteen...

Documents

umass boston

computers students

primary qr course

qr course guidelines

qr assessment cycle

instructor course assessment

qr skills

lowestlevel course math