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The pedagogical foundations of massive open online courses

The pedagogical foundations of massive open online courses | Learning & Mind & Brain | Scoop.it

These courses exhibit common defining characteristics that include: massive participation; online and open access; lectures formatted as short videos combined with formative quizzes; automated assessment and/or peer and self–assessment and online fora for peer support and discussion.


Via Nik Peachey
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Nik Peachey's curator insight, May 30, 2013 4:20 AM

Good article to read if you want to understand what's happening around MOOCs.

CDIT's curator insight, May 30, 2013 5:09 AM

le e learning progresse et c'est tant mieux, surtout s'il permet à tous l'accès à la connaissance dans de bonnes conditions

Helen Teague's curator insight, June 1, 2013 9:11 AM

I like the emphasis on peer involvement.

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Peer Instruction for Active Learning - Eric Mazur

Harvard University Prof. Eric Mazur on difficulties of beginners, teaching each other, and making sense of information.

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Rescooped by Miloš Bajčetić from Learning with MOOCs
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Critics see mismatch between Coursera's mission, business model

Critics see mismatch between Coursera's mission, business model | Learning & Mind & Brain | Scoop.it
Coursera's decision to charge learners in some massive open online courses up front -- viewed by some as inevitable -- has critics asking if the MOOC provider is diverging from its mission of universal access.

Via ColinHickie
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Rescooped by Miloš Bajčetić from Papers
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What is Information?

Information is a precise concept that can be defined mathematically, but its relationship to what we call "knowledge" is not always made clear. Furthermore, the concepts "entropy" and "information", while deeply related, are distinct and must be used with care, something that is not always achieved in the literature. In this elementary introduction, the concepts of entropy and information are laid out one by one, explained intuitively, but defined rigorously. I argue that a proper understanding of information in terms of prediction is key to a number of disciplines beyond engineering, such as physics and biology.

 

What is Information?
Christoph Adami

http://arxiv.org/abs/1601.06176


Via Bernard Ryefield, Complexity Digest
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Modelling how the brain makes complex decisions

Modelling how the brain makes complex decisions | Learning & Mind & Brain | Scoop.it
Researchers have constructed the first comprehensive model of how neurons in the brain behave when faced with a complex decision-making process, and how they adapt and learn from mistakes.

The mathematical model, developed by researchers from the University of Cambridge, is the first biologically realistic account of the process, and is able to predict not only behaviour, but also neural activity. The results, reported in The Journal of Neuroscience, could aid in the understanding of conditions from obsessive compulsive disorder and addiction to Parkinson’s disease.

The model was compared to experimental data for a wide-ranging set of tasks, from simple binary choices to multistep sequential decision making. It accurately captures behavioural choice probabilities and predicts choice reversal in an experiment, a hallmark of complex decision making.
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Carlos Rodrigues Cadre's curator insight, Today, 7:54 AM

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