Key Trends In Teaching Computational Thinking

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Key Trends 1. Advancing Cultures of Innovation discussed the long-term trend of driving technology adoption in K-12 schools. I believe I have a unique perspective on this topic having taught elementary grade students as well as both junior and senior high school students. I was amazed at how easily the elementary age students adapted to new technology. It was obvious that technology, which did not exist for me or even my children, improved the learning capability of these young learners. With a background in the computer software business, I witnessed over and over again how certain resources (consultants and business users) adapted easier, learned quicker and became proficient ahead of others due to their solid technology background. 2. Deeper…show more content…
Teaching Computational Thinking Continuing a comment from the section above, I believe a course in computational thinking would have been of greater value to me in my teacher training. In my experience as a software consultant, we implemented large supply chain systems that we had to break into smaller manageable parts and then analyze the results. I have used this approach in teaching the causes and effects of WW I to my students. 11. Achievement Gap I believe one of the main culprits of achievement gap, especially when socio-economic groups are concerned, is funding. I can cite many examples over the years of students that I taught who did not allow negative stereotyping, or low socioeconomic status, to thwart their achievement. Technology is an important tool to increase equity in education. At-risk student populations need to be recognized and addressed. 12. Sustaining Innovation Through Leadership Changes One of the biggest threats to a project is to lose the stake owner mid-project. The support of school leadership, staff and teachers for any project is essential. Factors such as funding and leadership changes have a detrimental effect on programs that can improve student progress. I think my experience in the software implementation world will benefit me greatly in the school innovation process. Important…show more content…
Analytics Technologies Measuring student achievement has become an increasingly important tool to implement changes, especially technology wise, to improve student learning opportunities. Technology tools around data analytics are normally used at the district level. The use of technological tools to collect and interpret data can assist administrators to make learning environment changes in real time. Time to adopt = one to three years 16. Virtual Reality (VR) I think one of the most important uses of VR technology would be to enable the user to experience distant and impossible-to-visit locations. Having traveled the world and seen many interesting people and places, I would love to share these adventures with my students. Like any technology, it will become more accessible, lower in cost and more valuable to curriculum content. Sadly, our current district has no presence of VR technology. In my role as a building principal, I would strongly support its use and implementation. Time to adopt = two to three years or less 17. Artificial Intelligence (AI) To be honest, I am not very comfortable with the concept of AI in the learning environment. AI could be beneficial if used wisely, but the possibility of unethical use is greater that any other technology example. Ask Google Home who Jesus Christ is and you get no answer, not so with other inquiries. We currently have no AI applications in use at our

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