An alley door downtown #Ypsilanti, #Michigan
Vertical photo
🖤 🤍
#SilentSunday
#MastoArt #Monochrome #Photography
#Urban #Americana
Well. I don’t know if this X thing is a stunt. But Twitter has passed on as far as I am concerned.
This sucks. Twitter was the one social media app I used and built a network. I do not celebrate its fall.
I hope Gen 2 of social media becomes an improvement on Gen 1.
Comedian Sarah Silverman and two authors have filed copyright infringement lawsuits against Meta Platforms <a href="https://www.reuters.com/markets/companies/META.O" target="_blank">(META.O)</a> and OpenAI for allegedly using their content without permission to train artificial intelligence language models.
proud to share the BIG PAPER (ie core findings) from my data literacies study. it's open!
tl;dr - educators *do* understand the paradigm shift that faces us in higher ed right now, with datafied systems we KNOW we're not knowledgeable about. but none of this is designed to make us knowledgeable. we need to advocate for literacy & ethics-focused approaches to digital & datafied (& AI! oh my!) infrastructure or we hand over the sector to vendor control.
https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-023-00402-9
In recent decades, higher education institutions around the world have come to depend on complex digital infrastructures. In addition to registration, financial, and other operations platforms, digital classroom tools with built-in learning analytics capacities underpin many course delivery options. Taken together, these intersecting digital systems collect vast amounts of data from students, staff, and faculty. Educators’ work environments—and knowledge about their work environments—have been shifted by this rise in pervasive datafication. In this paper, we overview the ways faculty in a variety of institutional status positions and geographic locales understand this shift and make sense of the datafied infrastructures of their institutions. We present findings from a comparative case study (CCS) of university educators in six countries, examining participants’ knowledge, practices, experiences, and perspectives in relation to datafication, while tracing patterns across contexts. We draw on individual, systemic, and historical axes of comparison to demonstrate that in spite of structural barriers to educator data literacy, professionals teaching in higher education do have strong and informed ethical and pedagogical perspectives on datafication that warrant greater attention. Our study suggests a distinction between the understandings educators have of data processes, or technical specifics of datafication on campuses, and their understanding of big picture data paradigms and ethical implications. Educators were found to be far more knowledgeable and comfortable in paradigm discussions than they were in process ones, partly due to structural barriers that limit their involvement at the process level. Graphical Abstract