Computer Science

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. 

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 article, Reclaiming the Roots of CT, is part of a CSTA Voice bi-monthly publication, where Lee argues for a focused definition of CT that clearly distinguishes it from other forms of thinking.

Citation: Lee, I. 2016. Reclaiming the roots of CT. CSTA Voice: The Voice of K–12 Computer Science Education and Its Educators, 12(1), 3–4. Retrieved on 11-3-2016 from http://www.csteachers.org/resource/resmgr/Voice/csta_voice_03_2016.pdf

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 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

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.