robertogreco + adaptivelearning + learning   4

elearnspace › Adaptive Learners, Not Adaptive Learning
"Some variation of adaptive or personalized learning is rumoured to “disrupt” education in the near future. Adaptive courseware providers have received extensive funding and this emerging marketplace has been referred to as the “holy grail” of education (Jose Ferreira at an EdTech Innovation conference that I hosted in Calgary in 2013). The prospects are tantalizing: each student receiving personal guidance (from software) about what she should learn next and support provided (by the teacher) when warranted. Students, in theory, will learn more effectively and at a pace that matches their knowledge needs, ensuring that everyone masters the main concepts.

The software “learns” from the students and adapts the content to each student. End result? Better learning gains, less time spent on irrelevant content, less time spent on reviewing content that the student already knows, reduced costs, tutor support when needed, and so on. These are important benefits in being able to teach to the back row. While early results are somewhat muted (pdf), universities, foundations, and startups are diving in eagerly to grow the potential of new adaptive/personalized learning approaches.

Today’s technological version of adaptive learning is at least partly an instantiation of Keller’s Personalized System of Instruction. Like the Keller Plan, a weakness of today’s adaptive learning software is the heavy emphasis on content and curriculum. Through ongoing evaluation of learner knowledge levels, the software presents next step or adjacent knowledge that the learner should learn.

Content is the least stable and least valuable part of education. Reports continue to emphasize the automated future of work (pfdf). The skills needed by 2020 are process attributes and not product skills. Process attributes involve being able to work with others, think creatively, self-regulate, set goals, and solve complex challenges. Product skills, in contrast, involve the ability to do a technical skill or perform routine tasks (anything routine is at risk for automation).

This is where adaptive learning fails today: the future of work is about process attributes whereas the focus of adaptive learning is on product skills and low-level memorizable knowledge. I’ll take it a step further: today’s adaptive software robs learners of the development of the key attributes needed for continual learning – metacognitive, goal setting, and self-regulation – because it makes those decisions on behalf of the learner.

Here I’ll turn to a concept that my colleague Dragan Gasevic often emphasizes (we are current writing a paper on this, right Dragan?!): What we need to do today is create adaptive learners rather than adaptive learning. Our software should develop those attributes of learners that are required to function with ambiguity and complexity. The future of work and life requires creativity and innovation, coupled with integrative thinking and an ability to function in a state of continual flux.

Basically, we have to shift education from focusing mainly on the acquisition of knowledge (the central underpinning of most adaptive learning software today) to the development of learner states of being (affect, emotion, self-regulation, goal setting, and so on). Adaptive learners are central to the future of work and society, whereas adaptive learning is more an attempt to make more efficient a system of learning that is no longer needed."
adaptivelearning  adaptability  education  sfsh  2016  change  creativity  dragangasevic  skills  work  content  goals  goalsetting  edtech  software  learning  productskills  personalization  processattributes 
july 2016 by robertogreco
Michael Wesch at Pasadena City College - YouTube
[Questions that burn in the souls of Wesch's students:
Who am I?
What is the meaning of life?
What am I going to do with my life?
Am I going to make it?]

[See also: ]
education  teaching  michaelwesch  identity  cv  soulmaking  spirituality  why  whyweteach  howweteach  learning  unschooling  deschooling  life  purpose  relationships  anthropology  ethnography  canon  meaning  meaningmaking  schooliness  schools  schooling  achievement  bigpicture  counseling  society  seymourpapert  empathy  perspective  assessment  fakingit  presentationofself  burnout  web  internet  wonder  curiosity  ambiguity  controversy  questions  questioning  askingquestions  questionasking  modeling  quests  risk  risktaking  2014  death  vulnerability  connectedness  sharedvulnerability  cars  technology  telecommunications  boxes  robertputnam  community  lievendecauter  capsules  openness  trust  peterwhite  safety  pubictrust  exploration  helicopterparenting  interestedness  ambition  ericagoldson  structure  institutions  organizations  constructionism  patricksuppes  instructionism  adaptivelearning  khanacademy  play  cocreationtesting  challenge  rules  engagement  novelty  simulation  compassion  digitalethnography  classideas  projectideas  collaboration  lcproject  tcsnmy  op 
july 2014 by robertogreco
The Problem with “Personalization”
"What are the repercussions of radically “personalizing” education through computers? What do we gain? What do we lose?

There’s a very powerful strain of American individualism — and California exceptionalism — that permeates technology: an emphasis on personal responsibility, self-management, autonomy. All that sounds great when and if you frame new technologies in terms of self-directed learning.

But how do we reconcile that individualism with the social and political and community development that schools are also supposed to support? How do we address these strains of individualism and increasingly libertarianism as they permeate the classroom?

What do we do about the communal goals of education, for example — to produce good citizens, if nothing else — if we become maniacally focused on personal goals of education instead? What happens to meaningful moments to collaborate? What happens to discussion? What happens to debate? What happens to the idea that we must work through ideas together — not just in the classroom, but as part of our work and civic responsibilities?

And who gets the “personalized” education delivered through them via adaptive technology? And who gets the “personalization” that we hope a student-centered, progressive education would offer?

This image from a PBS documentary about Rocketship Education haunts me.

The chain of charter schools boasts personalization — “Rocketship uses the most adaptive and personalized programs available, and continues to push Silicon Valley vendors and others to create even more adaptive learning tools,” its website boasts.

So the problem with personalization via adaptive software isn’t simply that “it doesn’t work.” It’s that it might work — work to obliterate meaningful and powerful opportunities for civics, for connection, for community. Work to obliterate agency for students. And work not so much to accelerate learning, but to accelerate educational inequalities."

[Accompanies: "What Should School Leaders Know About Adaptive Learning?" ]

[See also: ]
rocketshipschools  audreywatters  education  personalization  bigdata  legibility  autonomy  personallearning  learning  schools  policy  adaptivelearningtechnology  data  datacollection  adaptivelearning  adaptivetechnology 
june 2014 by robertogreco
Should We Automate Education? | EdTech Magazine
"In 1962, Raymond Callahan published Education and the Cult of Efficiency, a historical account of the influence that “scientific management” (also known as “Taylorism,” after its developer, Frederick Taylor) had on American schools in the early 20th century — that is, the push to run schools more like factories, where the productivity of workers was measured, controlled and refined.

Callahan’s main argument was that the pressures on the education system to adopt Taylorism resulted neither in more refined ways to teach nor in better ways to learn, but rather, in an emphasis on cost cutting. Efficiency, he argued, “amounted to an analysis of the budget. … Decisions on what should be taught were not made on educational, but on financial grounds.”

Fifty years later, we remain obsessed with creating a more “efficient” educational system (although ironically, we object to schools based on that very “factory model”). Indeed, this might be one of the major promises that educational technologies make: to deliver a more efficient way to teach and learn, and a more efficient way to manage schooling.

Deciding What We Want From Education

Adaptive learning — computer-based instruction and assessment that allows each student to move at her or his pace — is perhaps the latest in a series of technologies that promise more ­efficient education. The efficiency here comes, in part, from the focus on the individual — personalization — instead of on an entire classroom of students.

But it’s worth noting that adaptive learning isn’t new. “Intelligent tutoring systems” have been under development for decades now. The term “intelligent tutoring” was coined in the 1980s; research into computer-assisted instruction dates to the 1960s; and programmed instruction predates the computer altogether, with Sidney Pressey’s and B. F. Skinner’s “teaching machines” of the 1920s and 1950s, respectively.

“Education must become more efficient,” Skinner insisted. “To this end, curricula must be revised and simplified, and textbooks and classroom techniques improved.”

Rarely do we ask what exactly “efficiency” in education or ed tech ­entails. Does it mean a reduction in ­errors? Faster learning? Reshaping the curriculum based on market demands? Does it mean cutting labor costs — larger classroom sizes, perhaps, or teachers replaced by machines?

We also often fail to ask why efficiency would be something we would value in education at all. Schools shouldn’t be factories. Students aren’t algorithms.

What happens if we prioritize efficiency in education? By doing so, are we simply upgrading the factory model of schooling with newer technologies? What happens to spontaneity and messiness? What happens to contemplation and curiosity?

There’s danger, I’d argue, in relying on teaching machines — on a push for more automation in education. We forget that we’re teaching humans."
audreywatters  automation  education  edtech  learning  children  humanism  humans  efficiency  2014  1962  raymondcallahan  management  taylorism  factoryschools  schools  industrialeducation  schooling  adaptivelearning  bfskinner  sidneypressey  computers  computing  technology  curiosity  messiness  spontaneity  unschooling  deschooling 
april 2014 by robertogreco

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