Crowdsourcing Curriculum: The Digitally Literate Educator
gg.gg/crowddle
We are all convinced. We need to leverage digital technology to support and prepare our students for full participation in the “21st century”.
Let’s assume we all agree that integration is the most effective approach. So then…
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The purpose of this session is to crowdsource ideas from practising educators to create a document to share with all participants to take back to their schools; a template of what we think is best, in the order we think would be most effective, to standardise a skill set tied to pedagogical best practices.
To be clear about this.
We are creating a framework that we think will be best for all teachers starting from scratch to follow if they wish to become digitally literate educators. It is my further hope to use this as a yardstick by which to measure a curricular work-in-progress based on the thoughts of teachers in the classroom. |
Employing computational thinking strategies we will tackle the problem based on the data collected in the Discovery Sessions.
All documentation will be shared with the entire assembly of participants as a takeaway gift to schools.
All documentation will be shared with the entire assembly of participants as a takeaway gift to schools.
Discovery Session
COMPUTATIONAL THINKING: ELEMENT 1 Decomposition: Breaking down data, processes, or problems into smaller, manageable parts (PHASE 1) All in. We start collaborativley with an activity to determine how many different concepts, skills, web platforms, software, ANYTHING that you think is necessary for teachers to possess working understanding of in order to be a truly digitally literate educator.
Then we proceed to see how many of us in the room possess these skills and understandings and which are the most lacking in us as a group.
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Finally, we can break into table groups and start tackling the problem of organising the data. If there is time, we may add any missing pieces to our lists from the Activity sheet.
DEEP Dive
We will employ the last three elements of computational thinking to proceed:
Pattern Recognition: Observing patterns, trends, and regularities in data
Abstraction: Identifying the general principles that generate these patterns
Algorithm Design: Developing the step by step instructions for solving this and similar problems
We will employ the last three elements of computational thinking to proceed:
Pattern Recognition: Observing patterns, trends, and regularities in data
- Bundle them into authentically cohesive groups
Abstraction: Identifying the general principles that generate these patterns
- Tie them to curricular outcomes and ISTE Standards
Algorithm Design: Developing the step by step instructions for solving this and similar problems
- Start drafting a potential program of study for teachers to follow towards becoming digitally literate educators
Computational Thinking source: https://computationalthinkingcourse.withgoogle.com/unit?lesson=8&unit=1