Personalized learning – the kind hyped these days by Mark Zuckerberg and many others in Silicon Valley – is just the latest version of Skinner’s behavioral technology. Personalized learning relies on data extraction and analysis; it urges and rewards students and promises everyone will reach “mastery.” It gives the illusion of freedom and autonomy perhaps – at least in its name; but personalized learning is fundamentally about conditioning and control.

those who work in and work with education technology need to confront and resist this architecture – the “surveillance dataism,” to borrow Morozov’s phrase – even if (especially if) the outcomes promised are purportedly “for the good of the student.”

Source: Education Technology and The Age of Surveillance Capitalism

I updated “Neurodiversity in the Classroom” with a selection on sensory overwhelm in school environments from “Inclusive Education for Autistic Children: Helping Children and Young People to Learn and Flourish in the Classroom”.

One of the more encouraging developments in the autism field over the last decade or so has been a growing awareness of the significance of sensory issues. Sensory sensitivities are included in the DSM-5 as part part of the diagnostic criteria for autism, and in teacher training materials, such as those provided by the AET. They are also highlighted in campaigns by the National Autistic Society (NAS), for example. But despite these signs of increased understanding, I’m not convinced that in our schools there is a sufficiently nuanced appreciation of this multi-faceted phenomenon, which potentially influences a whole range of physical and perceptual processes (Bogdashina 2016). Indeed, the school environment can present autistic children with a multi-sensory onslaught in terms of sounds, smells, textures and visual impacts that constitutes both a distraction and a source of discomfort (Ashburner, Ziviani and Rodger 2008; Caldwell 2008). There was also clear evidence from my own study that sensory issues, and noise in particular, can be highly exclusionary factors for autistic children in schools.

Source: Inclusive Education for Autistic Children: Helping Children and Young People to Learn and Flourish in the Classroom

I updated “Neurodiversity in the Classroom” with a selection from “Inclusive Education for Autistic Children: Helping Children and Young People to Learn and Flourish in the Classroom”.

understanding the perspectives and experiences of autistic children and adults in particular was essential. Time and again I found that issues aired say, by teachers, would be completely reframed when the autistic adults discussed the same points.

Source: Inclusive Education for Autistic Children: Helping Children and Young People to Learn and Flourish in the Classroom

I also added headings to break up the length and removed some dead links and embeds.

Time and again I found that issues aired say, by teachers, would be completely reframed when the autistic adults discussed the same points.

Source: Inclusive Education for Autistic Children: Helping Children and Young People to Learn and Flourish in the Classroom

Via:

But despite these signs of increased understanding, I’m not convinced that in our schools there is a sufficiently nuanced appreciation of this multi-faceted phenomenon, which potentially influences a whole range of physical and perceptual processes (Bogdashina 2016). Indeed, the school environment can present autistic children with a multi-sensory onslaught in terms of sounds, smells, textures and visual impacts that constitutes both a distraction and a source of discomfort (Ashburner, Ziviani and Rodger 2008; Caldwell 2008). There was also clear evidence from my own study that sensory issues, and noise in particular, can be highly exclusionary factors for autistic children in schools.

Source: Inclusive Education for Autistic Children: Helping Children and Young People to Learn and Flourish in the Classroom

A pedagogy controlled by algorithms can never be a pedagogy of care, integrity, or trust.

Teachers: stop uncritically adopting and promoting Google products, for crying out loud. It doesn’t make you innovative or progressive. It makes you a shill for surveillance capitalism. You’re not preparing your students for a better future simply by using the latest shiny tech. You’re aiding a company — indeed a system — that’s stealing their future.

Knowledge production has a new police force: digital technology.

Source: HEWN, No. 317

I think there’s something wrapped up in all this marketing and mythology that might explain in part why the tech industry (and, good grief, the ed-tech industry) is so incredibly and dangerously dull. You can’t build thinking machines (or teaching machines for that matter) if you’re obsessed with data but have no ideas.

Source: HEWN, No. 296

I maintain that behaviorism never really went away and, despite all the talk otherwise, it remains central to computing — particularly educational computing. And as Shoshana Zuboff argues, of course, behaviorism remains central to surveillance capitalism.

Source: HEWN, No. 314

Engineering is a social production not merely a scientific or technological one. And educational engineering is not just a profession; it is an explicitly commercial endeavor. For engineers, as historian David Noble has pointed out, are not only “the foremost agents of modern technology,” but also “the agents of corporate capital.” “Learning engineers,” largely untethered from history and purposefully severed from the kind of commitment to democratic practices urged by Dewey, are now poised to be the agents of surveillance capital.

Source: HEWN, No. 312