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 Statway TM and Quantway TM : Networked Improvement Communities in Developmental Mathematics Julie M. Phelps, AMA TYC External Pathways Liaison Roberta Brown, Valencia Statway™ Mathematics Faculty and Productive Persistence

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StatwayTM and QuantwayTM:Networked Improvement

Communities in Developmental

Mathematics 

Julie M. Phelps, AMATYC External Pathways Liaison

Roberta Brown, Valencia Statway™ Mathematics Faculty and

Productive Persistence

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The Problem: Developmental Math

2

60%of community

college students

60% of CC students taking the placement exam need at

least 1 remedial course

3-5additional courses

The remedial college math path can be 3-5 courses

>More students drop out between courses than from

an actual class

1remedial math

pathway

Only one remedial math pathway, regardless of major

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Solution: New Mathematics Pathways

3

Through college-levelstatistics

Through college-levelquantitative reasoning

Two 1-yearpathways 

1

2

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Carnegie Dev Math Pathways Initiative

Target: double the number of developmentalmath students moving to and through a college

level math course by means of a one yearsequence

4

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What Makes These Pathways Different

• Combining the worlds of research and practice

• Focus on continuous improvement science

• Building an ongoing networked improvementcommunity focused on a high leverage problem:development math

• Changed role of faculty

5

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Changed Role of Faculty

• Co-developers of materials

• Research partners

• Lesson study for curriculum and professionaldevelopment

• Continuous improvement in a networked

community

6

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It’s Not Just the Curriculum 

• Unique Pedagogy – focused on active studentengagement

• Productive persistence (student tenacity pairedwith good strategies)

• Attention to Language and literacy

7

 

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Statway and Quantway LearningOutcomes

Developmental Mathematics Learning Outcomes

• Numeracy

• Proportional Reasoning

• Algebraic Reasoning

• Functions

8

 

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Statway – Statistics LearningOutcomes

• Students will understand the data analysis process and thewell-designed statistical studies

• Students will demonstrate the use of distributional thinking toreason about data in order to describe trends and patterns,

 judge a fit of a model to distribution, and describe similaritiesand differences in comparing distributions.

• Students will demonstrate an ability to use appropriatestatistical evidence to reason about population characteristicsan experimental treatment effects.

9

 

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Quantway – Quantitative Literacy Outcomes

• Students will demonstrate quantitative reasoning to analyzeproblems, critique arguments, and draw and justifyconclusions.

• Communicate quantitative results both in writing and orally

using appropriate language, symbolism, data and graphs

• Use technology appropriately as a tool

• Exhibit confidence in quantitative reasoning throughperseverance and ability to transfer prior knowledge in

unfamiliar contexts

10

 

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Lesson Share

• Lesson 3.1.1 – Intro to Scatterplotsand Bivariate Relationships

• “The Cereal Lesson” 

 

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Productive Persistence =

Tenacity + Good Strategies

 

xe n se e ng a ma person or no s

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xe n se : e ng a ma person or no ssomething about you that you really can't change.Some people are good at math and other peoplearen't." 

13

87%

10%0%

20%

40%

60%

80%

100%

Agree Disagree

 

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Productive Persistence:Scope of Work

14

Practical

Theory

Practical

Measures

Improvable

“Starter

Package” 

• Centered on aproblem of practice

• Co-developed withpractitioners andstudents

• Tested with academicexperts

• Brief and practical• Face-valid for

practitioners• Recognizable to

researchers• Designed to inform

improvements• “Can’t improve what

you can’t measure” 

• Initial set of activities• Systems for collecting

data• Strategies for

improvement• Field tests that inform

practice and theories

 

Drivers of the problemD ft D fi it l i l t bj t 

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AIM:

Students will be

productivelypersisting at

beginning of the

fourth week of class

Social connections

To peers

Successful CourseLaunch

(First 3-4 Weeks)Classroom norms

“Doing math” and “Struggle” norms 

To math faculty 

Drivers of the problem(things that keep us from meeting the aim)

Draft: Definitely incomplete, subject

to continual revision.

Course content

Mindsets

Don’t see selves as math learners 

Doesn’t “catch” interest  

Math anxiety 

PROCESS

MEASURES• % Correct

• Logins

“Productive” 

“Persistence” 

 

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Productive Persistence Starter

Package

• Students’ Mindsets: “Undermine motivation”  – Growth Mindset + Values Affirmation writing activity

(mindset/stereotypes )

 – Setting the stage for productive struggle (classroom norms )

 – Why study statistics?/Why study mathematics? (relevance )

• Social Connections: “Few or no connections; Unclear expectations” 

 – Contract activity

 – Group work

 

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Productive Persistence Questions

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• Interest: “Overall, how interesting are math and statistics toyou?” 

• Fixed mindset: “Being a "math person" or not is somethingabout you that you really can't change. Some people aregood at math and other people aren’t.” 

• Anxiety: ”How anxious would you feel the moment before yougot a math or statistics test back?” 

• Professors care: “How many of your college professors doyou think would care whether you succeeded or failed in their

classes?” • Belonging uncertainty: “When you think about your college,

how often, if ever, do you wonder: "Maybe I don't belonghere?"

• Productive struggle: … “Knowing the right answer to a mathproblem without having to think about it, or knowing how to

” 

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2

2.5

3

3.5

4

4.5

5

Fixed MindsetAbout Math

(1 item)

First Day of Class 3+ Weeks Later

ES = .38*

2

2.2

2.4

2.6

2.8

3

3.2

3.4

3.6

3.8

4

Interest /Relevance

(3 items)

2

2.2

2.4

2.6

2.8

3

3.2

3.4

3.6

3.8

4

Anxiety(3 items)

ES = .17*

* P < .001

ES = .28*

2

2.5

3

3.5

4

4.5

5

StereotypeThreat

(1 item)

ES = .10*

The Statway Data Speak… 

ES = Effect sizein SD units

 

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Snapshot of Results Thus Far . . .

• Ending enrollment compared to beginning enrollment: 84%

 – Based on data from 53 classes at 21reporting colleges as of January 17th,2012

• Pass rate – 78% of STATWAY students received a grade of C or better

• Based on data from 23 classes at 15 reporting colleges

• Assessment results

 – Mean mid-term exam score: 62%

• Based on goals set by 43 classes reporting, range 51% to 72%

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 “ I praise the fact that someone finally had enough sense torealize that a great deal of students have been kept fromfurthering their education due to this overpowering wall, andnow there is hope for a lot of us, not only to pursue highereducation but to learn something that would really apply to our

everyday life. ” 

20

What Statway Students Are Saying 

“I feel that if one person put in the work to

really understand the concepts they canpass. I was never a "math person" butcoming into Statway has completely made a360 degree turn about how I feel aboutmath. It is great!” 

“I panic a lot when I hearanything to do withtesting” 

Math and test anxiety

A growth mindset

Course relevance

 

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How You Can Get Involved

• Submit letter of interest with evidence of college’s culture of evidence, including:

 – demonstration of institutional research capacity and expertise;

 – evidence of the math department’s interest in committing to a commoncurriculum and assessments, and

 – focus on conceptual understanding, student engagement and language;

 – and an overall institutional commitment to continuous improvement

[email protected]

21

 

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Partners: Funding

 

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Contact Carnegie

[email protected]

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