PASS Placement Advising for Student Success Presenters - - PowerPoint PPT Presentation

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PASS Placement Advising for Student Success Presenters - - PowerPoint PPT Presentation

PASS Placement Advising for Student Success Presenters English/Writing Faculty Adviser David Mount, English Faculty davidmo@clackamas.edu Math Faculty Adviser Carrie Kyser, Math Faculty carriek@clackamas.edu Data Expert Stefan Baratto, Math


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PASS

Placement Advising for Student Success

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Presenters

English/Writing Faculty Adviser David Mount, English Faculty

davidmo@clackamas.edu

Math Faculty Adviser Carrie Kyser, Math Faculty carriek@clackamas.edu Data Expert Stefan Baratto, Math Faculty sbaratto@clackamas.edu Administrator Darlene Geiger, Associate Dean darleneg@clackamas.edu

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Show-of-hands survey

  • Have you been involved in any of the OR

State Dev Ed or Placement meetings?

  • Is your school currently discussing how to

improve placement? Any work underway?

  • Have you personally taken your school’s

WR, RD, or Math placement tests?

  • Do you ever talk to students about how it

feels to take the tests?

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How it feels: One CCC student’s perspective

“Writing in English has been . . . difficult for

  • me. Having to learn grammar, punctuation

and pronunciation has been a big challenge. I was very discouraged when I took the placement test and got my results.”

  • -Martin Velazquez, Winter 2016
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Brainstorm, Discuss, Report

  • Why is placement necessary? What do we

need to know about incoming students?

  • What does your school’s existing

placement process attempt to measure?

  • Is there anything your school’s placement

process might fail to capture?

  • What messages does the experience of

placement send to students about your school? About college?

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Placement Method: Content-level proficiency?

“…more students fail to complete developmental sequences because they never enroll in their first or a subsequent course than because they drop out of or fail to pass a course in which they enrolled.”

(Bailey, Jeong, & Cho, 2010).

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Placement Method: Multiple Measures

Workgroup Recommendations:

  • use multiple measures to place students,

including at least one non-cognitive assessment

  • use a range of scores, not a single cut score, for

placing students

  • disallow placement exam testing on the same

day that students learn about the test; provide students with preparation materials

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Why Change?

  • Misplacement (Rodriguez, Bowden, Belfield & Scott-Clayton,

2015);

  • Equity (Hetts, 2015);
  • Costs (Rodriguez, Bowden, Belfield & Scott-Clayton, 2015);
  • Completion: This is seen both in national research

(Bailey & Cho, 2010) and in Oregon (Hodara, 2015).

From:

HB 2681: February 2016 Preliminary Report

http://www.oregon.gov/HigherEd/Documents/HECC/2016%20Full%20Commission%20Meetings/01_J an-14-16/12.1b.HouseBill2681CommunityCollegeCourse%20PlacementDraftReport.pdf

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Change at Clackamas

  • Learn about placement program rationale and

process used for development.

  • Review the 2014-15 data to learn about success

rates and goal fulfillment.

  • Discuss the tools that have been developed to

scale-up the program for all incoming students.

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Placement Advising for Student Success PASS

The Clackamas PASS program uses multiple measures, rather than a single test score, to place students into the highest-level course(s) in which they are likely to be at least as successful as traditionally placed students. Measures may include:

  • Compass cut scores within decision zones for one or more test
  • H.S. coursework & GPA and/or SAT, ACT, AP/IB scores
  • Available time to focus on academic coursework
  • Work experience and/or life experience
  • Motivation/confidence & academic goals
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Development of PASS

  • Participation: Faculty, Staff & Administrator participation in

OCCA & CCWD Community College Developmental Education Redesign Project (2013-present).

  • Pilot: Piloted non-cognitive assessment tool in dev ed

courses (fall 2013) followed by faculty interviews (winter 2014) and PASS team formation (spring 2014).

  • Collaboration: Math & Writing faculty co-located in Testing

Center (2014-present)

  • Data: Parallel effort to develop key metrics and data

collection using student information system. (2015-present)

  • Roll-out: Development of Communication & Training plans

for roll-out (2015-16)

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How to Change?

Shared Goals

STATE LEADERSDHIP FACULTY SERVICE STAFF

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Placement Levels: Acceleration

153 Students 71 Students 3,982 Students 71 Students 0.00 1.00 2.00 3.00 4.00 5.00 6.00 Placed Students Students with PASS & PC

Placement Level: Math

PASS PC 133 Students 65 Students 2,763 Students 65 Students 0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50 4.00 Placed Students Students with PASS & PC

Placement Level: Writing

PASS PC

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Placement Levels: Acceleration

2,053

  • f

2,556 1,380 956

  • f

1,146 672 69

  • f 79

45 0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% 100.0% %Succ\YIO %AB\YIO Success & High-Performance Rates

Outcomes: WR-121 and Below

Overall PC PASS 4,535

  • f

5,915 3,461 956

  • f

1,225 754 86 of 107 66

0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% %Succ\YIO %AB\YIO

Success & High-Performance Rates

Outcomes: Math

Overall PC PASS

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Placement Acceleration: Math

There were 153 math students placed by the PASS program; 71 had also been placed using traditional means. Students placed by both methods “saved” 2.52 terms of math classes. Overall, students placed through the PASS program “saved” 2.20 terms of math classes compared to students placed by traditional means

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Placement Acceleration: Writing

There were 133 writing students placed by the PASS program; 65 had also been placed using traditional means. Students placed by both methods “saved” 1.43 terms of writing classes. Overall, students placed through the PASS program “saved” 0.57 terms of writing classes compared to students placed by traditional means

Note: Because there are fewer placement levels in writing, differences appears less stark; however, the results are just as significant.

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PASS Analysis: Other Metrics

  • Outcomes

– Success Rates – High-Performance Rates (A or B grade)

  • Persistence & Retention

– Within Term: Likelihood Student Completes Term – Across Terms: Likelihood Student Continues in Subsequent Terms

Students Performed Substantially Similar to All Other Student Groups Under Each of These Metrics

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A NEW View

We – Clackamas faculty and staff - have changed how we do what we do. Students come to us the same – same readiness, same challenges– we are making more support referrals and considering capacity. It takes believing that all students can succeed when offered the opportunity with the right supports.

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We Used to Ask

What can you PROVE you’re able to do?

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Now We Ask

What are you CAPABLE of?

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PASS Tools to Scale-up

  • Intake form collected from incoming students.
  • Interview guide for faculty & staff to use during conversations

about non-cognitive aspects of student success.

  • Placement Guides that provide “if-then” placement options

for support staff to recommend higher placements during conversations with students.

  • Faculty to address more difficult placements.
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Discussion of Tools

1. Fill out the form as a student 2. Use the guides to determine placement options. 3. Discuss next steps with “student.”

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Lessons we’re Learning:

  • Cross-representation among team: faculty, math

& testing center staff with administrator to liaison with state leads in the Developmental Education Redesign workgroup

  • Creating a consistent message for PASS
  • Producing tools for ensuring confidence &

consistency in placements

  • Regular meetings of data group for back-end
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How will our data, campus and workforce

  • utcomes be different?

Potential for dramatic increases in rates and time to completion of:

– Developmental education sequence – Gateway courses based on intent – Subsequent courses in chosen discipline – Degree or certificate – Transfer to 4-year or entered employment

For all student populations!

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Questions/Comments for:

  • Administrator?
  • Math Faculty?
  • Writing Faculty?
  • Testing Center Lead?
  • Data Team Members?
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Contact Information

English/Writing Faculty Adviser David Mount, English Faculty

davidmo@clackamas.edu

Math Faculty Adviser Carrie Kyser, Math Faculty carriek@clackamas.edu Data Expert Stefan Baratto, Math Faculty sbaratto@clackamas.edu Testing Center Lead Ric Jenkerson, Enrollment Services Specialist Lead ricj@clackamas.edu Administrator Darlene Geiger, Associate Dean darleneg@clackamas.edu