Time flies, and Design Cycle I is now complete. In less than three months, this year’s labbers have moved from learning each others’ names to becoming teams that can realize concepts into high fidelity digital prototypes that have been learner vetted twice. Aside from fellow labbers and our teacher’s students, few have had a chance to see our works in progress and meet our lab community. So the last weekend of January, we convened a mini-demo showcase and conversation at AlleyNYC. We only had 25 spots, and the room was packed with a mixture of teachers, technologists, researchers, and other interested individuals. For the first bit, we set up three demo stations where guests could try out our Design Cycle I prototypes in progress.
This was followed by short presentations by all the teams. The primary goal was to provide an inclusive window into our rapid prototyping process and the deep considerations that arise about the nature of learning through this collaborative making process. We have some home videos up of the presentations below!
A web-based game where learners must construct and cross metaphorical argument bridges. Learners are challenged to successfully match passages of text to parts of an argument that teachers can create as game levels. In our prototyping process, 8 history levels and 8 science levels were created and used with students.
Watch the other event videos.
An app accessible on mobile smart devices or desktops. Linky challenges students to collect data from their everyday lives and connect them to lessons. Linky is structured around teacher-created “themes” for students to make connections to by uploading images and rationales, and then looking across all student-generated data for patterns. In the prototyping process, various ways of weaving Linky into learning experiences were experimented with, including as a learning tool during a field trip to the Museum of National History.
A web-based app that introduces computational thinking, and search functions. Students are challenged to answer relevant questions by learning how to parse open data sets and creating publishable query functions.
We’ll be getting more links up about each prototype in the next week or so.