Casting a Wide Net: Applied Computational Thinking

1. Casting a Wide Net: Applied Computational Thinking Building interest and proficiency in computational thinking in STEM http://ct-stem.northwestern.edu Our Program • Create a pipeline to the new AP CS Principles course • Impact a broad cross-section of students, including under-represented groups • Engage 45 teachers and over 1000 high-school students and teachers in Computational Thinking activities • Conduct professional development workshops on how to bring Computational Thinking into STEM classrooms • Define Computational Thinking for STEM disciplines • Develop Computational Thinking in STEM assessments • Create Computational Thinking activities that can be embedded in existing high school STEM courses • Document Computational Thinking learning and attitudinal gains Modeling projectile motion with Angry Birds! Teachers interacting during our 2-day workshop About Us See Reverse for more info on our Activities PIs: Michael Horn, KemiJona, Vicky Kalogera, Laura Trouille, Uri Wilensky Research Faculty: Kai Orton Graduate Students: Elham Beheshti, David Weintrop High School Lead Teachers: Ami Lefevre, Tim Miller, Mark Vondracek This work is supported by the National Science Foundation under NSF grant CNS-1138461. However, any opinions, findings, conclusions, and/or recommendations are those of the investigators and do not necessarily reflect the views of the Foundation. Office of STEM Education Partnerships innovate, educate, collaborate

2. Northwestern University Computational Thinking in STEM High-School 2 - 4 Hour Lesson Plans DA DA DA DA DA DA DA DA DA DA DA DA MS MS MS MS MS MS MS MS MS MS MS MS PS PS PS PS PS PS PS ST ST ST ST ST ST ST MS CS PS ST CS CS CS CS CS * Activities developed by the Center for Connected Learning and Computer-Based Modeling # Activities developed by Office of STEM Education Partnerships Computational Thinking in STEM Skills: Next Generation Science Standards (NGSS) Practices: DA 1. Asking questions and defining problems 2. Developing and using models 3. Planning and carrying out investigations 4. Analyzing and interpreting data 5. Using mathematics and computational thinking 6. Constructing explanations and designing solutions 7. Engaging in argument from evidence 8. Obtaining, evaluating, communicating information Data Analysis Modeling & Simulation Systems Thinking Problem Solving Computer Science For access to curricular materials, please visit http://ct-stem.northwestern.edu/lesson-plans