Educators continually improve their practice by developing an understanding of computational thinking and its application as a cross-curricular skill. Educators develop a working knowledge of core components of computational thinking: such as decomposition; gathering and analyzing data; abstraction; algorithm design; and how computing impacts people and society. Educators:
1a: Set professional learning goals to explore and apply teaching strategies for integrating CT practices into learning activities in ways that enhance student learning of both the academic discipline and CS concepts.
1b: Learn to recognize where and how computation can be used to enrich data or content to solve discipline-specific problems and be able to connect these opportunities to foundational CT practices and CS concepts.
1c: Leverage CT and CS experts, resources and professional learning networks to continuously improve practice integrating CT across content areas.
1d: Develop resilience and perseverance when approaching CS and CT learning experiences, build comfort with ambiguity and open-ended problems, and see failure as an opportunity to learn and innovate.
1e: Recognize how computing and society interact to create opportunities, inequities, responsibilities and threats for individuals and organizations.
1a: When I first started, I set professional learning goals to explore teaching strategies. By doing this, I learned to apply these teaching strategies to other CT practices. This was done on Code.org through Using Variables with the Artist. The game dealt with variables to draw different shapes like triangles. This would be an activity that I could teach students on how to code.
1d: I developed resilience and perseverance when building this rover. It was more difficult than other builds, but I was challenged using failure as an opportunity to learn and innovate. This was done with the WeDo 2.0 app which can be downloaded on computers. I also coded it to drive forward as fast as possible.