Instructure has made it clear through their own language that they view the student data they aggregated as one of their chief assets, although they have also insisted that they do not use that data improperly. My note: “improperly” is relative and requires defining.
Yet an article published in the Virginia Journal of Law and Technology, titled “Transparency and the Marketplace for Student Data,” pointed out that there is “an overall lack of transparency in the student information commercial marketplace and an absence of law to protect student information.” As such, some students at the University of California are concerned that — despite reassurances to the contrary — their institution’s new financial relationship with Thoma Bravo will mean their personal data can be sold or otherwise misused.
Got a new open access article out on the ways AI is embedding in education research. Well-funded precision education experts and learning engineers aim to collect psychodata, brain data and biodata as evidence of the embodied substrates of learning. https://t.co/CbdHReXUiz
This article presents an examination of how education research is being remade as an experimental data-intensive science. AI is combining with learning science in new ‘digital laboratories’ where ownership over data, and power and authority over educational knowledge production, are being redistributed to research assemblages of computational machines and scientific expertise.
Research across the sciences, humanities and social sciences is increasingly conducted through digital knowledge machines that are reconfiguring the ways knowledge is generated, circulated and used (Meyer and Schroeder, 2015).
Knowledge infrastructures, such as those of statistical institutes or research-intensive universities, have undergone significant digital transformation with the arrival of data-intensive technologies, with knowledge production now enacted in myriad settings, from academic laboratories and research institutes to commercial research and development studios, think tanks and consultancies. Datafied knowledge infrastructures have become hubs of command and control over the creation, analysis and exchange of data (Bigo et al., 2019).
The combination of AI and learning science into an AILSci research assemblage consists of particular forms of scientific expertise embodied by knowledge actors – individuals and organizations – identified by categories including science of learning, AIED, precision education and learning engineering.
Precision education overtly uses psychological, neurological and genomic data to tailor or personalize learning around the unique needs of the individual (Williamson, 2019). Precision education approaches include cognitive tracking, behavioural monitoring, brain imaging and DNA analysis.
Expert power is therefore claimed by those who can perform big data analyses, especially those able to translate and narrate the data for various audiences. Likewise, expert power in education is now claimed by those who can enact data-intensive science of learning, precision education and learning engineering research and development, and translate AILSci findings into knowledge for application in policy and practitioner settings.
the thinking of a thinking infrastructure is not merely a conscious human cognitive process, but relationally performed across humans and socio-material strata, wherein interconnected technical devices and other forms ‘organize thinking and thought and direct action’.
As an infrastructure for AILSci analyses, these technologies at least partly structure how experts think: they generate new understandings and knowledge about processes of education and learning that are only thinkable and knowable due to the computational machinery of the research enterprise.
Big data-based molecular genetics studies are part of a bioinformatics-led transformation of biomedical sciences based on analysing exceptional volumes of data (Parry and Greenhough, 2018), which has transformed the biological sciences to focus on structured and computable data rather than embodied evidence itself.
Isin and Ruppert (2019) have recently conceptualized an emergent form of power that they characterize as sensory power. Building on Foucault, they note how sovereign power gradually metamorphosed into disciplinary power and biopolitical forms of statistical regulation over bodies and populations. Sensory power marks a shift to practices of data-intensive sensing, and to the quantified tracking, recording and representing of living pulses, movements and sentiments through devices such as wearable fitness monitors, online natural-language processing and behaviour-tracking apps. Davies (2019: 515–20) designates these as ‘techno-somatic real-time sensing’ technologies that capture the ‘rhythms’ and ‘metronomic vitality’ of human bodies, and bring about ‘new cyborg-type assemblages of bodies, codes, screens and machines’ in a ‘constant cybernetic loop of action, feedback and adaptation’.
Techno-somatic modes of neural sensing, using neurotechnologies for brain imaging and neural analysis, are the next frontier in AILSci. Real-time brainwave sensing is being developed and trialled in multiple expert settings.
GAN A generative adversarial network is the name given to dueling computer programs that run through a process of trial and error… One program, the generator, sequentially fires out millions of attempts at a face; the second program, the discriminator, tries to sniff out whether the first program’s face is a fake. If the discriminator can’t tell, Li said, a deepfake is produced.
25 US Congressmen and Congresswomen have urged President Donald Trump… In a letter to the US President, dated July 15, they also pointed out that India took the “extraordinary step” of banning several “Chinese affiliated mobile apps including TikTok due to national security concerns”.
India had recently banned 59 Chinese mobile applications including the widely-used social media platforms such as TikTok, WeChat, and Helo within view of the threat to the nation’s sovereignty and security.
LITA listserv exchange on “Raspberry PI Counter for Library Users”
On 7/10/20, 10:05 AM, “lita-l-request@lists.ala.org on behalf of Hammer, Erich F” <lita-l-request@lists.ala.org on behalf of erich@albany.edu> wrote:
Jason,
I think that is a very interesting project. If I understand how it works (comparing reference images to live images), it should still work if a “fuzzy” or translucent filter were placed on the lens as a privacy measure, correct? You could even make the fuzzy video publicly accessible to prove to folks that privacy is protected.
If that’s the case, IMHO, it really is a commercially viable idea and it would have a market far beyond libraries. Open source code and hardware designs and sales of pre-packaged hardware and support. Time for some crowdsource funding! 🙂
My note:
In 2018, following the university president’s call for ANY possible savings, the library administrator was send a proposal requesting information regarding the license for the current library counters and proposing the save the money for the license by creating an in-house Arduino counter. The blueprints for such counter were share (as per another LITA listserv exchange). SCSU Physics professor agreement to lead the project was secured as well as the opportunity for SCSU Physics students to develop the project as part of their individual study plan. The proposal was never addressed neither by the middle nor the upper management.
Once surveillance laws such as an encryption backdoor for the “good guys” is available, it’s just a matter of time until the “good guys” turn bad or abuse their power.
By stressing the fact that tech companies must decrypt sensitive information only after a court issues a warrant, the three Senators believe they can swing the public opinion in favor of this encryption backdoor law.
In April 2020, the company claimed its G Suite for Education products were used by 120 million students and users across the world. More than 100 million use Classroom, its online collaboration and learning management platform. Over 40 million students and educators across the globe now use Chromebooks.
