Being Apart Of A Learning Team

Posted by Cameron Jones on July 29, Featured In the midst of the most disruptive period in public education in recent memory, Jason Whiting chose two paths that stand out as exceptional: first, reflecting upon his practice he saw the urgency for more student agency; second, with a little support and a little inspiration, he was willing to try something entirely new: what if while learning grade 4 Math and Language his students could help even just one person? It was a provocation both his students and he were willing to commit to. The result is Made2HelpOttawa — Being Apart Of A Learning Team social enterprise built and designed by 9-year-olds as the method and expression of learning; a business that focuses the learning on an audacious goal: helping others. Made2HelpOttawa designs, produces and sells masks donating the revenue to partners like the Kanata Food Cupboard and organizations like Kiva. Payments are made on schoolcashonline. October Organization In Octoberwe used student connections to organize Google Meets with experts in the field to help us expedite our learning.

From there we established some teams and jobs within the class and got to work! The result?

December Dip In Decemberstudents were on their way to making their 15th mask prototype when they finally found the right materials to use for the logo. After working with a teacher who has real-world experience as an entrepreneur in the same field, the students quickly learned the benefits of trial and error.

It was back to the drawing board! January Jump In January ofthe team knew it was time to generate a buzz with the newly designed mask.

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Students developed ideas for posters, public service announcements, podcasts, newsletters, commercials and even games coded in Scratch. We needed to bump things up! February Fury In Februarywe got the green light to go live with our masks on schoolcashonline. On our first day, we sold 16 masks! Work has begun on our first batch of orders! Erskine Johnston Public School are using experiential learning to help others in their community and beyond. The students launched Made2Help, a social enterprise that designs, produces, and sells masks to donate proceeds to community partners.

Article: The grade 4 classrooms at W. Erskine Johnston Public School are bustling with activity. Students are designing masks, stamping logos, preparing orders, filming PSAs, recording podcasts, creating webpages, and meeting virtually with community partners.

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Guided by teacher Mr. Whiting, two grade 4 classes have been leading this non-profit project Being Apart Of A Learning Team the fall. They made project teams to handle everything from mask production to marketing, and tested 15 prototypes to find just the right materials. They also held virtual meetings to learn from experts like a Cornell MBA graduate article source Etsy entrepreneur.

In February, the Made2Help team began selling the masks to their school community and were thrilled to sell 16 masks on their first day! They are now working on fulfilling their first order. Each cotton mask is hand-stamped with the school and Made2Help logos and quarantined for 72 hours before being delivered. The young entrepreneurs hope that their experiential learning will help others in their community and beyond. Another favorite thing I learned in this business is to read over my work, how to write professionally and how to deal with people politely exactly like a real business.

Access the summary and presentation below, and read their full report here. Data that could support a broader view of regional well-being may not exist, or presents barriers around availability, accessibility, and timeliness. Artificial intelligence provides an opportunity to improve efficiency in data analysis with the intention of transforming a descriptive-analytical approach to a predictive one, leveraging the growing amount of publicly available data to measure well-being. With more holistic, place-based information, CED is developing the capacity to create more adaptive, responsive, and inclusive policy interventions. Understanding the nature of the problem, the Policy Lab team deconstructed the challenge question into four key components Selecting well-being indicators; Using data sources to measure indicators; Managing data through the lifecycle; Turning data into meaningful insights. These four components guided the research and structure of the report, informing the development of a conceptual framework for harnessing AI to measure well-being. While there are many separate elements included in the framework, they all connect, meaning this framework should be viewed as an entire process, because determining what questions you have and what problems you want to solve will contribute to what indicators and data sources are selected and whether you need AI. The elements at the top of the framework - well-being goals and data governance - are most important in the long-term for the agency to build effective, ethical, and sustainable data management for AI.

Tempting: Being Apart Of A Learning Team

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