Computer Science

eColloq Webinar: Cyberlearning Tools for Mobile, Community Engaged, and Connected Learning

Event Date: 
Wed, 12/06/2017 -
3:00pm to 4:30pm
Associated Dates and Deadlines: 

The second webinar in a new eColloq Series on Cyberlearning featured presentations by Katie Headrick Taylor and Tom Moher on their research, followed by discussion. The eColloq will be chaired by Michael Hoffmann, Georgia Institute of Technology.

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Event Type: 

MSPnet Academy: Infusing Computational Thinking into Science Education

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.

Lead Organization(s): 
Year: 
2015
Short Description: 
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.

Computer Science, Coding, and Project-Based Learning for Engineering Instruction

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. 

Lead Organization(s): 
Year: 
2016
Short Description: 
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.

Computer Science, Coding, and Project-Based Learning for Engineering Instruction

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.

Lead Organization(s): 
Year: 
2016
Short Description: 
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.

CSTA Voice: The Voice of K–12 Computer Science Education and Its Educators

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

Lead Organization(s): 
Year: 
2016
Short Description: 
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.

Computer Science, Coding, and Project-Based Learning for Engineering Instruction

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. 

Lead Organization(s): 
Year: 
2016
Short Description: 
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.

Appendix 5 of the California Science Framework: Computer Science in Science

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

Lead Organization(s): 
Year: 
2016
Short Description: 
This appendix of the California Science Framework focuses on Computer Science in Science.

MSPnet Academy: Infusing Computational Thinking into Science Education

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.

Lead Organization(s): 
Year: 
2015
Short Description: 
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.

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