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Variations of this slide deck were used in 3 different presentations this summer about the Teachers with Guts project:

• Agent-based modeling in StarLogo Nova. MIT Nord-Anglia Teacher Program. (2016)
• Introducing Project GUTS. MIT Science and Engineering Program for Teachers. (2016)
• Infusing Computational Thinking into Science Classrooms. ISTE Conference.  (2016)

This presentation on "Supporting the Intersections between Computer Science and the NGSS" was presented at the NSTA STEM Forum & Expo in Minneapolis, MN. (2015)  

The Santa Fe Institute has been developing programs and curricula that infuse computational thinking into Science education for the past 12 years. In this webinar, presenters describe how the study of Complex Adaptive Systems through computer modeling and simulation fits into existing science frameworks and classes, share information about their program and curricula, and describe the professional development needed to prepare Science teachers to address the computational thinking practices presented in the NRC framework and NGSS.

This appendix of the California Science Framework focuses on Computer Science in Science.

Citation: Lee, I.2016. California Science Framework. Appendix 5: Computer Science in Science  Retrieved on 11-15-16 at http://www.cde.ca.gov/ci/sc/cf/scifw2nd60daypubreview.asp

Chapter 7 of the publication Engineering Instruction for High-Ability Learners in K-8 Classrooms, this chapter written by Irene Lee and April DeGennaro focuses on computer science, coding, and project-based learning for engineering instruction.

Citation: Lee, I. & DeGennaro, A. 2016. Computer Science, Coding, and Project-Based Learning for Engineering Instruction. In Dailey, D. & Cotabish, A. (Eds.), Engineering Instruction for High-Ability Learners in K-8 Classrooms.  Prufrock Press. Austin, TX. 

This book uses meta-analysis to synthesize research on scaffolding and scaffolding-related interventions in STEM (science, technology, engineering, and mathematics) education. Specifically, the volume examines the extent to which study quality, assessment type, and scaffolding characteristics (strategy, intended outcome, fading schedule, scaffolding intervention, and paired intervention) influence cognitive student outcomes.

How do we measure knowledge in use? In this paper we describe how we use principles of evidence-centered design to develop classroom-based science assessments that integrate three dimensions of science proficiency—disciplinary core ideas, science practices, and crosscutting concepts. In our design process, we first elaborate on, or “unpack”, the assessable components of the three dimensions.