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(1)

GHC 2011, Portland, 11.10.11

CS 10K and CS Principles:

Towards Increased Participation in CS

Grace Hopper 2011

Amy Briggs, Professor of Computer Science

Middlebury College

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GHC 2011, Portland, 11.10.11

CS Principles

A
rigorous,
crea.ve,
alterna.ve
new
first
course
in


computer
science
for
HS
and
college


Introduce
central
ideas
of
compu.ng


Computa.onal
thinking
prac.ces


How
compu.ng
changes
the
world


Engage
and
emphasize
crea.vity

Appeal to a broad audience through content and pedagogy

 

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GHC 2011, Portland, 11.10.11

CS Principles Commission

Don Allen, Troy High School, CA

Christine Alvarado, Harvey Mudd College

Stacey Armstrong, Cypress Woods High School, TX

Owen Astrachan, Duke University (PI)

Charmaine Bentley, FDR High School, Dallas, TX

Amy Briggs, Middlebury College (Co-PI)

Mark Guzdial, Georgia Institute of Technology

Rich Kick, Newbury Park High School, CA

Jody Paul, Metropolitan State College of Denver

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CS Principles Advisory Group

Duane Bailey, Williams

Tiffany Barnes, UNCC

Gail Chapman, CSTA

Tom Cortina, CMU

Stephen Edwards, Virginia Tech

Dan Garcia, Berkeley

Joanna Goode, Oregon

Susanne Hambrusch, Purdue

Michelle Hutton, CSTA

Deepak Kumar, Bryn Mawr

Jim Kurose, U Mass

Andrea Lawrence, Spelman

Richard Pattis, UC Irvine

Eric Roberts, Stanford

Katie Siek, U Colorado Boulder

Beth Simon, UC San Diego

Larry Snyder, U Washington

Lynn Andrea Stein, Olin

Fran Trees, Drew University

Lien Diaz, College Board

Cameron Wilson, ACM

Jan Cuny, NSF

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GHC 2011, Portland, 11.10.11

Project Timeline – past + present

2009-10

Big Ideas, Practices, Claims/Evidence

2010-11

Pilot I: Five colleges

College Curriculum Survey

College attestation/support

2011-12

Pilot II: 10+ colleges, 10+ high schools

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Project Timeline – future

2012

Pilot III: small group, high school and college

Portfolio-based assessment

Curriculum Framework finalized

2013 –

Develop exam and course

Professional development

2015-16 (?)

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GHC 2011, Portland, 11.10.11

College Curriculum Study (2011)

Sampling plan included 100+ institutions

Professors rated importance of evidence statements for

117 student learning objectives

College credit and/or placement

Over 80 college departments attested

Note: Plans are in development

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Evidence-Centered Design

Big Ideas

(Content)

Computational Thinking

Practices

(Skills)

Claims

(Student Learning Objectives)

+

Evidence

(specific evidence of claims)

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GHC 2011, Portland, 11.10.11

Big Ideas

1.

Computing is a creative activity

2.

Abstraction

3.

Data and information

4.

Algorithms

5.

Programming

6.

The Internet

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Computational Thinking Practices

1.

Connecting computing

2.

Developing computational artifacts

3.

Abstracting

4.

Analyzing problems and artifacts

5.

Communicating

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GHC 2011, Portland, 11.10.11

Big Idea > Key Concept > Learning Objective

A sample learning objective under Algorithms:

Learning Objective 18:

The student can evaluate algorithms analytically

and empirically.

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Learning Objective > Evidence statements

Student work is characterized by:

18a. Evaluation of an algorithm’s efficiency,

correctness, or clarity.

18b. Location and correction of errors in an algorithm.

18c. Explanation of how an algorithm functions.

18d. Explanation of how different correct algorithms for

the same problem can have different efficiencies.

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GHC 2011, Portland, 11.10.11

Develop and implement a recruitment

plan – special focus on enrollment of

women and under-represented minorities

Participate in pre and post surveys

Develop syllabus aligned to course

content

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UNC Charlotte: Tiffany Barnes

UC Berkeley: Dan Garcia & Brian Harvey

Metropolitan State College of Denver: Jody Paul

UC San Diego: Beth Simon

University of Washington: Larry Snyder

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GHC 2011, Portland, 11.10.11

Diverse student populations – each site was

unique in potential student recruitment

Diverse class size: ranged from 20 to 600+

students in a given pilot classroom

Diverse set of tools and languages that were

used in pilot classrooms, e.g., Alice, Scratch,

Python, etc.

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CS Principles

Pilot 2 Sites

High School, teacher

Partnered University, contact

North Gwinnett HS - Deepa Muralidhar Georgia Tech - Charles Isbell

Northside College Prep and Chicago Lab HS - Don Yanek, Baker Franke

Illinois Institute of Technology - Matthew Bauer

Greater Hartford Academy of Math and Science - Chinme Uche

Trinity College - Ralph Morelli Booker T Washington Magnet HS - Bill Cowles U of Alabama - Jeff Gray

Springdale HS - Marilyn Sue Carrell U of Arkansas at Little Rock - Remzi Seker S Philadelphia HS - Anne Urevick U of Pennsylvania - Jean Griffin

West HS - Andrew Kuemmel U of Wisconsin, Madison - Andrea Arpaci-Dusseau

Patrick Henry HS - Rebecca Dovi Virginia Tech - Manuel Perez-Quinonez Newbury Park HS - Rich Kick Stanford University - Nick Parlante

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GHC 2011, Portland, 11.10.11

Big Data

Analysis

Collaboration

Innovation

Social impact

Creativity

Computational Thinking

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Computer Science Principles

For updates and more information…

Lien Diaz, AP Program Owen Astrachan, PI Amy Briggs, Co-PI

Jody Paul, AP Chief Reader

Jan Cuny

jcuny@nsf.gov

Chris Stephenson

cstephenson@csta.acm.org

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