Last night while catching up on some of my feeds and I ran across a new WordPress plugin for creating On This Day-type functionality from Alan Levine.
Having enjoyed the mobile app TimeHop and its functionality for a long time, I’d spent a long time a while back searching for what I was sure would be multiple WordPress plugins that might offer such functionality. At the time I could only find one and seemed deeply hidden: the Room 34 Presents On This Day plugin which has served my needs for a while.
While the two are implemented somewhat differently and have different levels of UI features, it’s nice that there’s now a bit of competition and options available in the space. Alan’s excellent version is a shortcode-based plugin with some options for configuring the output and he’s got lots of additional details for customizing it. The Room 34 version creates an archive view of most of its data and also includes a widget for adding the output to various widget locations.
I’ve added some of these examples and links to the On This Day page of the IndieWeb wiki, so that others looking for UI examples, options, and brainstorming for their WordPress-based or other sites might have an easier time tracking them down and building additional iterations or coming up with new ideas.
These sorts of plugins provide some useful functionality commonly found in other social media sites, including Facebook which allow you to go back in time. I find they’re even more valuable on my own site as my content here is generally far richer and more valuable to me than it is on other social sites which often have a “throw away” or a more ephemeral feel to some of their content. It’s nice to be able to look back at old thoughts, revisit them, possibly reshape them, or even see how far I’ve come in some of my thinking since those older days.
Now, if we could only get Timehop to dovetail with the WordPress API so that they could add WordPress websites to their offerings…
On This Day functionality for WordPress was originally published on Chris Aldrich
I ran across this paper via the
. In general they studied GitHub as a learning community and the social support of people’s friends on the platform as they worked on learning new programming languages.
I think there might be some interesting takeaways for people looking at collective learning and online pedagogies as well as for communities like the IndieWeb which are trying to not only build new technologies, but help to get them into others’ hands by teaching and disseminating some generally tough technical knowledge. (In this respect, the referenced Human Current podcast episode may be a worthwhile overview.)
🔖 The influence of collaboration networks on programming language acquisition by Sanjay Guruprasad | MIT was originally published on Chris Aldrich
Doug, the sound of this is interesting, but it seems to be a lot harder than it might need to be, not to mention the pitfalls of being assigned emojis one wouldn’t want representing them in addition or the centralized nature of the provisioning source.
It also sounds very much like Kevin Marks’ Distributed Verification scheme using the rel=”me” attribute on web pages for which he built a chrome browser extension to actually implement it. Kevin also recently reported that Mastodon now actually supports this verification scheme in one of their most recent updates which should be used by instances that are regularly updating. The benefit is that this scheme already exists, is relatively well supported, there are parsers available for it, and it’s actually working on the open web. It’s also truly distributed in that it doesn’t rely on any central provisioning authorities that require ongoing maintenance or which could provide a monopoly on such a service.
Reply to What is Emoji ID? by Doug Belshaw was originally published on Chris Aldrich
I’m reminded by conversations at E21 Consortium’s Symposium on Artificial Intelligence in 21st Century Education (#e21sym) today about a short essay by Michael Nielsen (t) which I saw the other day on volitional philanthropy that could potentially be applied to AI in education in interesting ways.
was originally published on Chris Aldrich