2. Computer Science for All
$4 billion in funding for states to
expand K-12 CS education
Funding for NSF supported programs
and professional learning communities
thru CS10k – Exploring CS and
AP CS Principles
State-level CS education strategic plans
Public-private partnerships to expand
and deepen commitments to CS
education
2
www.whitehouse.gov/csforall
4. Index of Changing Work Tasks in the U.S. Economy 1960-2009
4 Source: http://content.thridway.org/publications/714/Dancing-With-Robots.pdf
IndexValue:1960=50
5. Jobs Shifting in the Digital Era
5
Agrarian Workers
(farmers) Industrial Workers
(manufacturing) Creative/Digital Workers
(knowledge & technology)
Source: Richard Florida, Rise of the Creative Class (2002) and Dan Taylor (2013)
11. TACSE Objectives
11
“Traditional” CS
Students
Everyone Else,
the
“Digitally Illiterate”
Digital Jobs
Computer Science for
ALL
Everyone Becomes
“Literate” in the
Digital Society
1B
1A
Teach every
student the
foundational
understanding of
computer science
Increase
the number
of students
pursuing digital
careers
24. 74.3(b)(2)(I) Tech App Curriculum Requirement – every district must offer, and
74.3(b)(4) each student must have the opportunity to participate in the following:
Computer Science I
AP Computer Scienceor
At least two (2) of the following:
• Computer Science III
• Digital Art and Animation
• Digital Communications in the 21st
Century
• Digital Design and Media
Production
• Digital Forensics
• Digital Video and Audio Design
• Discrete Mathematics for
Computer Science
• Fundamentals of Computer Science
• Game Programming and Design
• Independent Study in
Evolving/Emerging Technologies
• Independent Study in Technology
Applications
• Mobile Application Development
• Robotics Programming and Design
• 3-D Modeling and Animation
• Web Communications
• Web Design
• Web Game Development
Computer Science II
Curriculum Requirement
24 Source: http://ritter.tea.state.tx.us/rules/tac/chapter074/ch074a.html
25. 74.12(b) A student must demonstrate proficiency in the following:
74.12(b)(5) Languages other than English (LOTE)—two credits
Graduation Requirement
25 Source: http://ritter.tea.state.tx.us/rules/tac/chapter074/ch074b.html
Two credits in computer programming languages
selected from Computer Science I, II, and III
orAny two levels of the same language
Note: 74.12(b)(5)(A)(iii) regarding expiration date is under view by the SBOE and will likely be removed
26. 74.13(f) A student may earn any of the following endorsements
A. CTE (Ch. 130)
B. Computer Science (Ch. 126)
C. Mathematics
Endorsement Requirement
26 Source: http://ritter.tea.state.tx.us/rules/tac/chapter074/ch074b.html
D. Science
E. A combination of two of the above
A. CTE (Ch. 130)
B. English
C. Technology Applications (Ch. 126)
D. A combination of the above
1. STEM 2. Business and Industry
27. National CTE Career Clusters
Arts, A/V Technology &
Communications
Information Technology STEM
A/V Technology & Film Network Systems Engineering & Technology
Printing Technology Information Support & Services Science & Mathematics
Visual Arts Web & Digital Communications
Performing Arts Programming & Software Development
Journalism & Broadcasting
Telecommunications
27 (HR 1020 STEM Education Act of 2015 adds computer science to the definition of STEM)
28. Texas Chapter 130: Career and Technical Education
C. Arts, A/V Technology and
Communications
K. Information Technology O. STEM
Video Game Design I Computer Programming Robotics and Automation
Video Game Design II Advanced Computer Programming Computer Science and Software
Engineering*
Video Game Design III Web Technologies
Database Programming
28 * Current innovative course until AP Computer Science Principles is added to the TEKS
29. 29
Texas Chapter 126: Technology Applications
C. High School D. Other Technology Application Courses
Fundamentals of Computer Science [S] AP Computer Science A [S]
Computer Science I [S] AP Computer Science Principles
Computer Science II [S] IB Computer Science SL [S]
Computer Science III [S] IB Computer Science HL [S]
Digital Forensics [S]
Discrete Mathematics for Computer Science [S]
Game Programming and Design [S]
Mobile Application Development [S]
Robotics Programming and Design [S]
Web Communications [B]
Web Design [B]
Web Game Development [B]
Independent Study in Evolving/Emerging Tech [B]
[S] - can satisfy the STEM endorsement; [B] - can satisfy Business & Industry endorsement
30. 30
TEA PEIMS Course TEKS Teacher FTE Student Enroll
N1300993 Video Game Design I CTE - A/V 32.40 3,808
N1300994 Video Game Design II CTE - A/V 0.43 35
13027600 Computer Programming CTE - IT 68.11 8,527
13027700 Advanced Computer Programming CTE - IT 16.12 941
13027900 Web Technologies CTE - IT 101.71 10,714
13037000 Robotics & Automation CTE - STEM 53.27 4,738
N1303768 CS and Software Engineering CTE - STEM 4.81 672
03580140 Fundamentals of CS Tech App 14.21 1,368
03580200 CS I Tech App 96.61 13,935
03580300 CS II Tech App 13.85 889
03580350 CS III Tech App 6.59 384
03580380 Game Programming & Design Tech App 13.52 1,887
03580390 Mobile App Development Tech App 6.38 637
03580395 Robotics Programming & Design Tech App 10.83 719
03580820 Web Design Tech App 30.73 3,877
03580830 Web Game Development Tech App 1.48 166
A3580100 AP CS A Tech App 55.28 6,322
I3580200 IB CS (SL/HL) Tech App 2.16/1.67 168/84
Source: ritter.tea.state.tx.us/adhocrpt/adfte.html (2014-15)
31. Texas Computer Science Task Force
Met on Oct 8, 2014 at Austin
Chamber of Commerce
15 people representing CS
teachers, edtech business,
higher ed, TCEA, CTAT,
Code.org, College Board, ISD
leaders and policymakers
Built consensus around key
barriers and recommendations
Building the Texas
Computer Science Pipeline
Strategic Recommendations
for Success
Carol L. Fletcher, Ph.D., The University of Texas at Austin
http://www.thetrc.org/computer-science-resources/
31
32. Texas Computer Science Task Force
32 Source: Carol Fletcher, Building the Texas Computer Science Pipeline
33. AP Computer Science A AP Computer Science Principles
Curriculum is focused on object-oriented
programming and problem solving
Curriculum is built around fundamentals of
computing including problem solving, working
with data, understanding the internet, cyber
security, and programming
Java is the designated programming language Teachers choose the programming language(s)
Encourages skill development among students
considering a career in computer science and
other STEM fields
Encourages a broader participation in the
study of computer science and other STEM
fields
AP assessment experience
• Multiple-choice and free-response questions
(written exam)
AP assessment experience:
• Two performance tasks students complete
during the course to demonstrate the skills
they have developed (digital artifacts)
• Multiple-choice questions (written exam)
33
34. AP CS Principles – 2016-2017
Computational Thinking
Practices
1. Connecting Computing
2. Creating Computational
Artifacts
3. Abstracting
4. Analyzing Problems and
Artifacts
5. Communicating
6. Collaborating
apcsprinciples.org
Big Ideas
1. Creativity
2. Abstraction
3. Data and Information
4. Algorithms
5. Programming
6. The Internet
7. Global Impact
34
36. Introduction to Computer Science (½ year)
AP Computer Science Principles (1 year)
[aka Computer Science and Software Engineering]
PLTW Computer Science Curriculum
36 Source: https://www.pltw.org/pltw-computer-science-curriculum
AP Computer Science A (1 year)
[aka Computer Science Applications]
Cybersecurity (½ year)
Computational Problem Solving (1 year)
37. UT Computer Science Undergraduate Pathway
The old curriculum had eleven CS courses that students were required
to take, leaving little time for electives
The new curriculum has only six:
Programming (2)
Systems (2)
Theory (2)
This gives students the opportunity to dive into concentration areas,
or to study computer science more broadly by sampling from various
subareas
37 https://www.cs.utexas.edu/undergraduate-program/academics/curriculum/courses
38. CS High School Pathway Idea
Introductory Course
(e.g. Fundamentals of Computer Science, Computer Programming, CS I)
Mobile-Cloud
• Mobile Web &
Mobile Apps
• Cloud Apps
AP Computer Science Principles
Game Design/
Development
Robotics
Programming
Cybersecurity
Machine
Learning/AI
38
Data Analytics
Games are a great testing ground for developing smarter, more flexible algorithms that have the ability to tackle problems in ways similar to humans. Creating programs that are able to play games better than the best humans has a long history - the first classic game mastered by a computer was noughts and crosses (also known as tic-tac-toe) in 1952 as a PhD candidate’s project. Then fell checkers in 1994. Chess was tackled by Deep Blue in 1997. The success isn’t limited to board games, either - IBM's Watson won first place on Jeopardy in 2011, and in 2014 our own algorithms learned to play dozens of Atari games just from the raw pixel inputs. [http://googleresearch.blogspot.com.au/2016/01/alphago-mastering-ancient-game-of-go.html]
CAROL
Lots of talk and data about the problem but not much research or analysis about why schools weren’t teaching CS