Hi Dav, Sarah! Thanks so much for these incredibly interesting resources. This made me realise again how important it is to take context into consideration when developing courses. I think there's a lot here that may be useful, but I also realise that a very small percentage of South African learners have the kind of exposure that is for example spoken about in the AI4K12 materials. Still very interesting.
I specifically found this resource relevant and potentially of interest to people who are teaching the Carpentries Spreadsheet lesson to complete data novices - https://databasic.io/en/culture/paper-spreadsheet. I might even try this in our upcoming Data Carpentry workshop in two weeks' time. A related question - does anyone know of intro to data science materials for teachers? I expect these will focus a lot on explaining why it is important to learn (and teach) data science concepts and skills. From the materials that was posted here, I immediately realised that teachers may be more of a stumbling block than the kids' lack of prior exposure. Not to criticise teachers, but they are already way over-worked and under-payed... Thanks, Anelda On Wed, Mar 6, 2019 at 5:23 PM Dav Clark <[email protected]> wrote: > The bootstrap community also has done a ton of work on computing-focused > education, including aligning modules with math standards, etc. (US based, > AFAIK, but probably easy to adapt) They've gotten great empirical results. > They are very friendly. You can find them on the web here: > > https://www.bootstrapworld.org/ > > There are social media links there and they're quite responsive. > > There's also a more data journalism angle, for example the Data > Storytelling Studio / Data Murals out of https://datatherapy.org/, and > also some of the projects at the Emerson Engagement Lab: > https://elab.emerson.edu/projects > > FWIW, my sense is that the carpentries materials will be less effective > than targeted curricula for high school, but also it's probably dependent > on the teacher. As always in education, you do what you can. > > I'm actually quite interested in this topic, so happy to brainstorm more > or even contribute (though I'm fairly constrained right now in terms of > free time). > > Best, > D > > On Wed, Mar 6, 2019 at 9:54 AM Sarah Brown <[email protected]> wrote: > >> Hi Anelda, >> >> There's a group of academics and K-12 teachers working on Artificial >> Intelligence curricula for Kindergarten-high school learners. They have a >> lot of resources: AI4K12.org. I attended an event in the fall where they >> had k-12 techers summarize what students at each age tend to know and be >> able to learn. The materials for high schoolers are available from this >> page: >> https://github.com/touretzkyds/ai4k12/wiki/2018-Fall-Symposium-Materials >> . >> >> *Sarah M Brown, PhD* >> sarahmbrown.org >> Data Sciences Postdoctoral Research Associate >> Brown University >> >> >> On Wed, Mar 6, 2019 at 3:53 AM Anelda van der Walt < >> [email protected]> wrote: >> >>> Dear community, >>> >>> Colleagues of mine (copied here) have received funding from the SA >>> government to run an introduction to data science course for high school >>> learners (16 & 17 years old). We had some preliminary discussions about >>> content, but I have no experience with that age group - what they know and >>> don't know and how applicable the Carpentries materials might be to them. >>> >>> They specifically want to focus on Python. >>> >>> The course will run in July and they'll also host a datathon in >>> December, where the learners will have an opportunity to participate in a >>> competition to show off their skills. This means there is an opportunity to >>> continue working with the learners between July and December, but taking >>> their school work into consideration. >>> >>> Does anybody have a curriculum that have been taught to that age group >>> that could help them think through their own curriculum? Any advice, >>> resources, pointers would be greatly appreciated. >>> >>> Thanks as always! >>> >>> Anelda >>> >> *The Carpentries <https://carpentries.topicbox.com/latest>* / discuss / > see discussions <https://carpentries.topicbox.com/groups/discuss> + > participants <https://carpentries.topicbox.com/groups/discuss/members> + > delivery > options <https://carpentries.topicbox.com/groups/discuss/subscription> > Permalink > <https://carpentries.topicbox.com/groups/discuss/T5349a7f93d3d8148-Me2c1bbf3b24a6998fd5800b0> > ------------------------------------------ The Carpentries: discuss Permalink: https://carpentries.topicbox.com/groups/discuss/T5349a7f93d3d8148-Me03f6a0d3c0155808677fe6d Delivery options: https://carpentries.topicbox.com/groups/discuss/subscription
