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23 août 2016

The 7 biggest problems facing science, according to 270 scientists

By Stephen Downes - Stephen's Web. The 7 biggest problems facing science, according to 270 scientists
Julia Belluz, Brad Plumer, Brian Resnick, Vox, 2016/07/18
These problems are nothing we haven't seen before, but this article makes a good case for each, plus some good discussion on proposed remedies (quoted):

Academia has a huge money problem
Too many studies are poorly designed. Blame bad incentives.
Replicating results is crucial. But scientists rarely do it.
Peer review is broken
Too much science is locked behind paywalls
Science is poorly communicated to the public
Life as a young academic is incredibly stressful

Science, they say, is "ripe for disruption". More...

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23 août 2016

Positive, Negative or Neutral? Crucial Conversations on Digital Citizenship

By Stephen Downes - Stephen's Web. Positive, Negative or Neutral? Crucial Conversations on Digital Citizenship
George Couros, Connected Principals, 2016/07/18

Me: Have you been told not to do bad things online?
Student: Yes.
Me: How about good things?
Student: Never. More...

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23 août 2016

Does Our Social Contract for Education Need a Reboot?

By Stephen Downes - Stephen's Web. Does Our Social Contract for Education Need a Reboot?
Lindsey Tepe, Pacific Standard, 2016/07/22
The idea of the social contract was introduced by Thomas Hobbes in the 1600s as a means of justifying the continued rule of the monarchy. Without the stern rule of the monarch, he wrote, we would return to the state of nature where the lives of men were "solitary, poore, nasty, brutish and short." The myth of the social contract persists to this day, and is used for the same purpose. More...

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23 août 2016

European guidelines for validating non-formal and informal learning

By Stephen Downes - Stephen's Web. European guidelines for validating non-formal and informal learning
Cedefop, 2016/07/22

This document (64 page PDF) is more of a framework than a final statement on the topic of recognizing individual achievement, but as such it's a great start and will likely become a document of reference in the field. More...

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23 août 2016

Could AI replace teachers? 10 ways it could?

By Stephen Downes - Stephen's Web. Could AI replace teachers? 10 ways it could?
Donald Clark, Donald Clark Plan B, 2016/07/05

Donald Clark reviews a number of the ways artificial intelligence could replace teachers. I read this during the day yesterday and referenced it in passing when I spoke. More...

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23 août 2016

How to Jump Ship From Evernote and Take Your Data With You

By Stephen Downes - Stephen's Web. How to Jump Ship From Evernote and Take Your Data With You
Thorin Klosowski , LifeHacker, 2016/07/05

Good article describing how people locked in Evennote's silo can get their data out of the system and into another product. More...

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23 août 2016

How to Do Adaptive Learning

By Stephen Downes - Stephen's Web. How to Do Adaptive Learning Right
Keith Devlin, Randy Weiner, EdSurge, 2016/07/05
Responding to Audrey Watters's examples of how things can go badly wrong with adaptive learning, Keith Devlin and Randy Weiner argue "Watters’ bleak future will only come to pass if the algorithms continue to be both naïvely developed and naïvely applied, and moreover, in the case of mathematics learning (the area we both work in) applied to the wrong kind of learning tasks." More...

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23 août 2016

Natural language understanding (almost) from scratch

By Stephen Downes - Stephen's Web. Natural language understanding (almost) from scratch
Adrian Colyer, The Morning Paper, 2016/07/05
This article gives you a sense of where one branch of artificial intelligence is working today. Researchers are testing their neural network algorithms against four standard tasks in natural language analysis:

Part-of-speech tagging (POS), labels each word with a tag that indicates its syntactic role in a sentence
Chunking labels phrases or segments within a sentence with tags that indicate their syntactic role
Named-entity Recognition (NER) labels recognised entities within the sentence. For example, as a person, location, date, time, company
Semantic-role labeling (SRL) “gives a semantic role to a syntactic constituent of a sentence.” More.

The challenge here is o succeed at these tasks "without needing task-specific representations or engineering." It is often the case that you can tweak the result with a hint here or there. More...

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23 août 2016

Bitcoin and Blockchains explained

By Stephen Downes - Stephen's Web. Bitcoin and Blockchains explained
David Hopkins, Technology Enhanced Learning Blog, 2016/07/05

This is another useful attempt to help people get a base-level understanding of what a blockchain is and does. Transactions are encrypted and put into blocks. More...

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23 août 2016

Campaign for America’s Future: Are Public Schools and Private Equity a Bad Mix?

By Stephen Downes - Stephen's Web. Campaign for America’s Future: Are Public Schools and Private Equity a Bad Mix?
Jeff Bryant, National Education Policy Centre, 2016/07/06
The short answer to this question in that, yes, they are a bad mix. They offer choice, but "these publicly financed arrangements come with great risks, however, due to the high failure rates of charter schools." Additionally, there is the danger of loss of control of the school system. More...

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