This week I’ve been:
- Sprinting with the Badge Alliance Working Group for Digital & Web Literacies on our first deliverable – a sample badged pathway for the Web Literacy Map’s Privacy competency.
- Booking a ticket (and my trains) for the OEPS Advisory Forum and Product Launch on 13th October in Edinburgh.
- Writing a blog post for DMLcentral. It won’t be published there for a couple of weeks, apparently, so you can preview it here. It’s about the importance of curating our own information environments.
- Re-submitting a book proposal on Web Literacy for a different series published by the MIT Press.
- Reviewing a proposal for a new Mozilla Learning Center.
- Catching up with Robert Friedman about badged pathways for Hive Learning Networks.
- Playing around a bit more with Sublevel and Known.
- Interviewing people as part of the process of coming up with a v2.0 of the Web Literacy Map. This week I spoke with:
- Starting to synthesize the outputs from the Web Literacy Map interviews, using a SWOT analysis.
- Writing about what work looks like (especially ‘knowledge work’), and the price of expertise.
- Talking with Chris Sessums, Mila Thomas-Fuller and Kecia Ray about modules we’ll be designing for the Ed.D. programme at Johns Hopkins University. It’s early days as we’ll not be teaching them until 2016!
- Getting an overview from Chris Bonfield and Mary-Louise Maynes about a lecture and workshop I’m delivering for students at Bishop Grosseteste University soon on New Literacies.
- Starting planning for the three Mozilla Festival sessions I submitted that were accepted:
- Saying goodbye to my Dad as he heads off to Aspire Academy, Qatar, for a seven-month consultancy gig. It came somewhat out of the blue (he’s been retired for a couple of years) but hopefully we’ll get to visit him when it’s cold here!
Next week I’m at home all week. I’ll be synthesizing and making sense of the 38 interviews I’ve done over the last few weeks for the Web Literacy Map update. From that I want to create a survey that captures a wider set of people’s responses based on a number of proposed changes.
Image CC BY-NC-SA Barbara