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Every Learner Everywhere
Every Learner Everywhere is helping institutions of higher education use adaptive learning technology to improve teaching and learning with a focus on increasing the success of first-generation students, low-income students, and students of color. We are a network of 12 partner organizations working collaboratively to provide advice, training, and community-vetted resources that support the adoption and implementation of adaptive courseware.
adaptivelearning  education  globalhighered 
march 2019 by oheredia
Addressing “Soft Skills” Gaps with Adaptive Learning
Despite the billions of dollars spent on talent development every year, hiring managers in a recent survey revealed that their employees had persistent gaps in “soft skills,” including communications, business acumen, and customer service. According to the Career Advisory Board’s 2018 Talent Activation, Employee Experience and Skills Development survey, these gaps are not being sufficiently addressed even as employers seek to develop a more highly engaged workforce.

In other words, their “talent activation” efforts are falling short where soft skills are concerned. Specific gaps identified in the research include:

Technology and digital fluency (62%)
Communication (56%)
Business acumen (48%)
Diversity and cultural awareness (46%)
Customer service (42%)
education  workforce  skills  adaptivelearning 
january 2019 by oheredia
The Future Of Learning? Well, It's Personal
Anya Kamenetz's NPR piece on personalized/adaptive learning: "[I]n speaking about it with more than a dozen educators, technologists, innovation experts and researchers, I've developed a theory: 'Personalized learning' has become a Janus-faced word, with at least two meanings in tension...."
edtech  tlos  diet  research  highered  pedagogy  adaptivelearning 
december 2018 by warnick
In FutureLearn's MOOCs, Conversation Powers Learning at Massive Scale - IEEE Spectrum
Nice observation in the comment section: "It seems to me that so called 'adaptive learning' is actually adaptive PRACTICE - a computer can help you grasp a concept by serving up easier or harder exercises as you need them."
futurelearn  moocs  personalizedlearning  adaptivelearning 
july 2017 by WBedutech
Harvard rolls out adaptive tech for MOOC offerings | Education Dive
Harvard University has announced a partnership with TutorGen to pilot adaptive technology in its Super Earth astrology and biology hybrid MOOC curriculum, an advancement the school says could re-imagine how online education is delivered and assessed.
adaptivelearning  moocs 
february 2017 by oheredia
When Personalized Learning Is a Logical Fallacy | EdSurge News
“A product cannot be evaluated outside of its educational context. The contextual factors are huge. So a product just can’t be efficacious or not. It always has to be contextualized.”
personalizedlearning  adaptivelearning  edsurge  michaelfeldstein  research  impact  evaluation 
january 2017 by WBedutech
Jean-Marc Tassetto (Coorpacademy) : "Nous levons 10 millions d'euros pour attaquer les ETI" - JDN
A quoi vont servir ces 10 millions d'euros ?
Une grosse part de l'investissement va partir dans la R&D. Il est vital de maintenir notre avance technologique pour optimiser l'expérience de l'apprenant. Cela passe par une meilleure maîtrise de la data, du machine learning ou encore de l'adaptative learning.
Nous comptons aussi accélérer la coédition de Mooc. Pour le moment nous avons lancé quelques formations coéditées, par exemple un Mooc sur le leadership féminin avec Auféminin ou encore sur l'IoT avec Cap Gemini. D'ici décembre nous allons lancer dix nouveaux cours. Et nous ne nous arrêterons pas là.
Mooc  startup  edtech  levée  R&D  machinelearning  adaptivelearning  Tassetto 
october 2016 by sentinelle
Machine Learning is Fun!
Adam Geitgey: "This guide is for anyone who is curious about machine learning but has no idea where to start. I imagine there are a lot of people who tried reading the wikipedia article, got frustrated and gave up wishing someone would just give them a high-level explanation. That’s what this is. The goal is be accessible to anyone — which means that there’s a lot of generalizations. But who cares? If this gets anyone more interested in ML, then mission accomplished."
machinelearning  adaptivelearning  tlos  programming  digitalhumanities 
july 2016 by warnick
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
elearnspace › Adaptive Learners, Not Adaptive Learning
> 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.
july 2016 by mcmorgan
Study finds inconclusive results about efficacy of adaptive learning
A major study of adaptive learning finds inconclusive results about its ability to increase completion rates, improve grades and lower costs. The report found that In 11 of 15 courses, adaptive courseware had no impact on student grades. But the use at two-year colleges and in remedial courses shows potential.
adaptivelearning  research  article  edtech  education  highered 
june 2016 by oheredia

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