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Computer Science Model Standards

Computer Science Model Standards. Stephen King, PhD. Computer Science Model Standards. KSDE is launching a committee-based model standards development process for Computer Science Start from developed standards and frameworks Computer Science Teachers Association K-12 CS Standards

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Computer Science Model Standards

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  1. Computer Science Model Standards Stephen King, PhD

  2. Computer Science Model Standards • KSDE is launching a committee-based model standards development process for Computer Science • Start from developed standards and frameworks • Computer Science Teachers Association K-12 CS Standards • International Society for Technology in Education Framework • The College Board Computational Thinking Framework • Cross-walk with and customize to Kansas Vision for Education

  3. Timeline • Form committee: March – May 2018 • First meeting: June 2018 • First draft creation: June – July 2018 • Collect public feedback: July – August 2018 • Second draft creation: September – October 2018 • Public comment: October – December 2018 • Third draft creation: January 2019 • Present to KSBE for final comment: February 2019 • Present to KSBE for approval: March 2019

  4. Committee Membership • 24-28 members total, writing and reviewing sub-committees • 4-6 Business & Industry representatives • Garmin • KC Tech Council • 2-4 Post-secondary Education representatives • Representation from all grade bands and each of the 10 Board of Education Districts

  5. Still Taking Applications • https://goo.gl/forms/APhiqZ79cfrPsE263 • (or email sking@ksde.org) • Initial (virtual) meeting: May 9, 2018 3:30 pm • Full committee meeting June 14, 2018 @ Garmin, Overland Park • Writing subcommittee meeting: June 15, 2018 @ Garmin

  6. Computer Science (Computational Thinking) vs CTE Computational Thinking (Grades K-12) CTE Pathways leading to Technology (Grades 9-12) Programming & Software Development careers Information Support & Services careers Network Systems careers Web & Digital Technology careers • Cognitive skills needed in many fields • Abstraction • Algorithms • Computer Science/Technology • Science • Agriculture • Manufacturing/Automation

  7. Computational Thinking Enables: • Confidence in dealing with complexity • Persistence in working with difficult problems • Tolerance for ambiguity • The ability to deal with open-ended problems • The ability to communicate and work with others (National Science Foundation, 2011)

  8. Questions?

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