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Computational Thinking and Problem-Solving for Today’s Students Deborah Boisvert Pierre Thiry

Computational Thinking and Problem-Solving for Today’s Students Deborah Boisvert Pierre Thiry Jennifer Werner Chuck Winer. Broadening Advanced Technological Education Connections (BATEC). Overarching Goals.

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Computational Thinking and Problem-Solving for Today’s Students Deborah Boisvert Pierre Thiry

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  1. Computational Thinking and Problem-Solving for Today’s Students Deborah Boisvert Pierre Thiry Jennifer Werner Chuck Winer

  2. Broadening Advanced Technological Education Connections (BATEC)

  3. Overarching Goals • Define, extend and strengthen computing pathways and career opportunities for the 21st century IT professional. • Facilitate and leverage strategic partnerships to build awareness, generate interest, and support learning opportunities in ethnically diverse urban areas of Boston, Chicago, Las Vegas and San Francisco. • Conduct actionable research to inform policy makers, IT educators and workforce development agencies. • Participate in and lead the national discussion on the subject of integrated curriculum and applied IT.

  4. Our Test Bed San Francisco (MPICT) Boston Lowell Haverhill/Lawrence Fall River/New Bedford Framingham Worcester Chicago Las Vegas/Reno

  5. CPATH • Development of student competencies in computing concepts, methods, technologies and tools - referred to as computational thinking • Approaches that promise to revitalize undergraduate education • Became part of Computing Education for the 21st Century (CE21) program which aims to build a computationally savvy 21st century workforce that positions the US to demonstrate a leadership role in the global economy.

  6. Advancing the Successful IT Student through Enhanced Computational Thinking (ASSECT) Project Team Deborah Boisvert, UMASS Boston Robert Cohen, Wellesley High School KammySanghera, George Mason University Joyce LaTulippe, Bunker Hill and UMASS Boston Paula Velluto, Bunker Hill Community College Paula Worthington, Northern Virginia Community College Charles Winer, Purdue University Jennifer Werner, Purdue University/Community Healthcare System Gina Rue, Ivy Tech Community College Pierre Thiry, City College of San Francisco Mohammed Javed, Cameron University Peter Saflund, The Saflund Institute

  7. ASSECT Vision Build a community of practitioners from California, Indiana, Massachusetts, Oklahoma, and Virginia who are actively working to create and disseminate nationally replicable models of Computational Thinking in IT education.

  8. ASSECT Goals Goal 1: Develop a research-based computational thinking framework integrated with the ACM IT Volume. Goal 2: Pilot and implement authentic scenarios that provide opportunities to learn, demonstrate and assess computational thinking skills that advance from lower to upper division IT classes Goal 3: Provide professional development for faculty in effective pedagogical approaches and assessment techniques

  9. Competency Models CareerOneStop.org; Employment and Training Administration; U.S. Department of Labor

  10. Computational Thinking in CS (Jeannette Wing) • Conceptualizing, not programming • Fundamental, not rote skill • A way that humans, not computers think • Complements and combines mathematical and engineering thinking • Ideas, not artifacts • For everyone, everywhere • Thinking Recursively • Thinking Abstractly • Thinking Ahead • Thinking Algorithmically • Thinking Logically • Thinking Concurrently

  11. Computational Thinking in IT

  12. Computational Thinking in IT

  13. CPATH ASSECT Scenarios http://69.195.124.111/~batecorg/?page_id=497

  14. City College of San Francisco - Pierre Thiry • Course: CNIT 106 Intro to Networks • Five cohorts: F10, Sp11, F11, Sp12, F12 • Pretest: the three light bulbs • Four to five week scenario: Securing PCs in the lab • https://sites.google.com/site/assectsbl/ • Posttest: four people on a rickety bridge • Assessment: 18 questions survey assessing the measures created by the matrix CT in IT

  15. Workshops in Computational Thinking via Scenario Based Learning (CT/SBL) • CPATH/ASSECT Developed Workshops • https://sites.google.com/site/workshopctandsblresourcesite/sharing-our-research-experience • https://sites.google.com/site/assectworkshop/home

  16. Apply Computational Thinking • Share Expertise • Successful Experiences • Model for Success • Partners in Learning NSF CPATH ASSECT Grant Presented By: Chuck Winer, Professor/Head CITG Department Purdue Calumet

  17. How We Do It (CT/SBL) • https://sites.google.com/siteworkshopctandsblresourcesite/home

  18. Scenarios Computational Thinking via Scenario Based Learning (CT/SBL) Real-Life Results from Indiana Teacher Workshops https://sites.google.com/a/hammondacademy.org/middle-ages-project/home

  19. Success Includes Asking Questions • Questions ??? • Comments • Observations

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