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GRADE STANDARDS

FROSH-
Information Literacy

SOPHS-
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Quantitative Literacy
UPPERCLASS-
Critical Thinking
 

 

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GOAL: QUANTITATIVE LITERACY:

The Quantitative Inquiry, Reasoning, and Knowledge (Quirk) initiative

Notes from Arguing with Numbers: Teaching Quantitative Reasoning through Argument and Writing, Neil Lutsky, Carleton College* (distributed by Beloit College without proper citation!)

I. Strategy

(i) Strengthening students’ quantitative reasoning is an imperative of contemporary general education

(ii) A fitting context for quantitative reasoning is argumentation, the construction, communication, and evaluation of arguments.

(iii) The quantitative reasoning habits students need to learn are primarily simple and non-technical.

(iv) Quantitative reasoning across the curriculum might be intertwined with teaching writing.

II. Goals - ?The world of the twenty-first century is a world awash in numbers?

A. As educators we need to draw attention to why numbers are so widelyused in modern life. Numbers can contribute to precision in our thinking, facilitate the public discussion and evaluation of claims, help us grasp the attributes of large and complex phenomena, organize vast domains of information, and help us discover patterns of relationships not readily available to human perception. In sum, numbers are not only important because they are pervasive; they are pervasive because they are important.

B. [A] list of broad aims for contemporary undergraduate education, includes strengthening communication skills, critical thinking, moral reasoning, responsible citizenship, appreciations of diversity, involvement in a global society, breadth of knowledge, and preparations for work.

C. …numeracy is not something mastered in a single course.

D. there were at least two general ways in which students used quantitative reasoning in written argumentation: (i) peripherally and (ii) centrally.

(i) Peripheral uses cite numbers to provide details, enrich descriptions, present background, or establish frames of reference.

(ii) Central uses of numbers address a primary question, issue, or theme in a paper.

III. STAR evaluation.  

Evaluate the substantiation for claims in terms of four criteria, STAR.

1.  Sufficiency, whether there is enough evidence provided.

2. Typicality, whether the evidence presented is representative.

3. Accuracy, whether the data are true.

4. Relevance, whether the evidence is centrally connected to the claim.

Quantitative information can be evaluated as evidence in light of these criteria and can also provide the grounds for reasoning about the adequacy of substantiations offered for a claim.

IV. 10 Quantitative Reasoning “Questions at the Ready”

1. What do the numbers show?

2. How typical is that?

3. Compared to what?

4. Are findings those of a single study or source or of multiple studies or sources?

5. How were the main characteristics measured?

6. Who or what was studied?

7. Is the outcome of a study anything more than noise or chance?

8. How large is the result of a study?

9. What was the design of the study?

10. What else might be influencing the findings?

V. Challenges

A. ask students in writing assignments to use numbers to set an example or case study of primary interest in a paper in its wider context.

B. principles for expressing numbers in writing, including seven basic ones. These are: (1) establish the context, (2) choose effective examples and analogies, (3) use an appropriate vocabulary, (4) decide where to present numbers, (5) report and interpret numbers in text, (6) specify the size and direction of associations, and (7) summarize overall patterns.

C. several recurring problems.

1. the weasel word problem, highlights overuse of the terms “many,” “often,” “some,” and others

2. the staples problem, refers to papers in which quantitative information in the form of tables and figures is stapled onto a paper but not interpreted in the text

3. the comparison problem, indicates instances in which students cite numbers but do not provide frames of reference that might make those numbers meaningful

4.  a terminology variability problem - Different academic disciplines socialize students to give words such as “experiment” more or less restricted meanings.

D.  How much information and what form of information will be meaningful to readers?

 

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