Archive for the ‘Multimedia’ Category

AI and Machine Learning Demystified

January 26th, 2018 by Graham Attwell

It is interesting that most of the featured presentations on Slideshare are about AI. This seems to me one of the better ones. Carol Smith, Senior Design Manager and Researcher at IBM Watson says any AI is only as good as the data and the time spent improving it and it is biased depending on what it is taught. She also says that it is dependent on experts. This seems to be a problem to me: how expert are the experts (and what makes someone an expert anyway?).

Fair Reuse

September 12th, 2017 by Graham Attwell

I like this very much. Cory Doctorow from BoingBoing says ”

Everything is a Remix (previously) is an important, entertaining series of short videos that trace the ways the creation is built on earlier creation — that “originality” is just mixing existing things in new ways.

In the latest EiR video, creator Kirby Ferguson covers Fair Use, the key legal principle that allows users of copyrighted works (including other creators) to use some (and, in some circumstances) all of a work for critical, transformative, or satirical purposes.”

My only question – to someone more knowledgeable than me – is how far such free use applies in Europe.

Black Box Learning Analytics? Beyond Algorithmic Transparency

June 14th, 2017 by Graham Attwell

I guess we are all a bored with PowerPoint presentations these days. But when done well, presnetations can be brilliant for questioning what we are doing and should be doing. What are Algorithms? asks Simon Buckingham Shum, Professor of Learning Informatics / Director, Connected Intelligence Centre UTS. According to Paul Dourish in The Social Lives of Algorithm they are abstract rules for transforming data which to exert influence require programming as executable code operating on data structures running on a platform in an increasingly distributed architecture. Simon goes on to question the intentional secrecy technical illiteracy complexity of infrastructure that make algorithms opaque and looks at their growing impact in education.

 

Open Education and Story Telling

May 3rd, 2017 by Graham Attwell

I Like this short video by Frances Bell for many reasons. First it is a great example of how video can easily be used to tell a story. And it touches on many of the issues regarding academia and especially the challenges faced by PhD students in university today. As the title rightly says Open education and Open Journals are still a door half closed, especially in the world of metrics for measuring research.

Machines against humans?

March 17th, 2017 by Graham Attwell

I expect to see more of this debate in the future. Richard Palmer (Tribal) and Sheila MacNeil (Glasgow Caledonian University) had a debate at the Jisc Digifest17 about whether learning analytics interventions should always be mediated by a human being. Richard (for machines) and Sheila (for humans), speak about their thoughts on the topic in the Digifest studio with Robert and Louisa.

March 15th, 2017 by Graham Attwell

Brian Mulligan responded to my post on open MOOCs with a link to the Moocs4All web site. the web site includes this promo video for a free course held last year on ‘Making MOOCs on a budget. Brian says “Creating a course with thousands of participants is no longer something that only well-funded universities can do. Even individuals who are experts in their subject matter but not experts in technology and pedagogy are able to create a MOOC, simply by using the right set of tools and techniques.”

Time to tap the breaks?

January 15th, 2017 by Graham Attwell


Graham Brown Martin talks about Personalised Learning. Does #EdTech personalise, individualise or standardise, he asks? “In the age of big data and learning analytics, are we seeing Taylor’s ideas – masquerading as progressive “personalized learning” – forced upon unwitting education systems where all that matters is the what rather than the why?” And he says that despite the fact he is not anti technology it may be time to “tap the breaks”.

A social learning commons

October 19th, 2016 by Graham Attwell


I like this presentation by Jon Dron from the University of Athabasca. Jon looks at the pros and cons of groups, networks, sets and crowds for learning. He present Athabasca Landing as a safe space, a social learning commons and a social construction kit with no one in control, no hierarchies and few rules. Athabasca Landing, he says, is persistent, boundary-crossing and beyond the course.

 

 

A Young Person has to Know Everything

October 18th, 2016 by Graham Attwell

Sadly Dario Fo died earlier this week. I had the pleasure of meeting him at the San Marino International Arts Festival (SMIAF) where he kept an audience of about 60 young people spellbound in a 45 minute question and answer session. And I think this short video was made by SMIAF during the festival.

A Design for Learning

September 16th, 2016 by Graham Attwell

“We learn through experience; the abstract can only take us so far” says Peter Bryant from London School of Economics in the blog entry accompanying this presentation.  “Whether it is environmental, tactile, mental, affective, emotional or physical, learning experiences are the context in which learning and knowledge come together. Learning experiences are the art and design component of curriculum development.”

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    Cyborg patented?

    Forbes reports that Microsoft has obtained a patent for a “conversational chatbot of a specific person” created from images, recordings, participation in social networks, emails, letters, etc., coupled with the possible generation of a 2D or 3D model of the person.


    Racial bias in algorithms

    From the UK Open Data Institute’s Week in Data newsletter

    This week, Twitter apologised for racial bias within its image-cropping algorithm. The feature is designed to automatically crop images to highlight focal points – including faces. But, Twitter users discovered that, in practice, white faces were focused on, and black faces were cropped out. And, Twitter isn’t the only platform struggling with its algorithm – YouTube has also announced plans to bring back higher levels of human moderation for removing content, after its AI-centred approach resulted in over-censorship, with videos being removed at far higher rates than with human moderators.


    Gap between rich and poor university students widest for 12 years

    Via The Canary.

    The gap between poor students and their more affluent peers attending university has widened to its largest point for 12 years, according to data published by the Department for Education (DfE).

    Better-off pupils are significantly more likely to go to university than their more disadvantaged peers. And the gap between the two groups – 18.8 percentage points – is the widest it’s been since 2006/07.

    The latest statistics show that 26.3% of pupils eligible for FSMs went on to university in 2018/19, compared with 45.1% of those who did not receive free meals. Only 12.7% of white British males who were eligible for FSMs went to university by the age of 19. The progression rate has fallen slightly for the first time since 2011/12, according to the DfE analysis.


    Quality Training

    From Raconteur. A recent report by global learning consultancy Kineo examined the learning intentions of 8,000 employees across 13 different industries. It found a huge gap between the quality of training offered and the needs of employees. Of those surveyed, 85 per cent said they , with only 16 per cent of employees finding the learning programmes offered by their employers effective.


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