AI in VET conference

What effect is the emergence of artificial intelligence having on vocational education and training? What does AI mean for the future of training courses and the skills needed by learners? And how does all of this affect educators and trainers?

Join us for the AI in VET conference on Wednesday 8th December, 9:30 - 11 UK time, as we present the results and findings of the Taccle AI project - Improving skills and competences of VET teachers and trainers in the age of Artificial Intelligence.

With guest panelists Sophia Roppertz and Gorka Roman.

Free Registration Here

What is AI today, may not be so tomorrow

Creative Commons have set up four working groups on the Future of Open which have just reported. The working groups are

  • Artificial Intelligence and Open Content
  • Internet Platform Liability
  • Exception and Limitation to address Global Challenges
  • Beyond Copyright: the Ethics of Open Sharing

The Key Findings are being presented on 9 November at 1530 UTC and  copies of the Working Group reports can be found on the Creative Commons Medium channel.

I have only read the report on Artificial Intelligence and AI so far. Its interesting particularly as they try to define AI to ascertain its potential copyright status. The following excerpt gets to the heart of the issue.

 

#EduAI21

During our media literacy Twitter conference #SMILED21 I jokingly suggested that Pontydysgu had enough AI projects in progress to run a conference on its own. We haven't, quite, and a conference is no fun without the opportunity to find out, probe, query and be inspired by what everyone else is up to. So here it is;

#EduAI21 - Bridging the gap between research and practice for AI in education

An unconference style event run on Twitter, #EduAI21 aims to bring researchers and practitioners together, presenting accessible research, information, chalk-face experiences, real life case studies and cutting edge technologies around the use of Artificial Intelligence in (and for) education.

This is free and open to all, anyone with a Twitter account and an idea can contribute.

Presenters will be given a time-slot in which to tweet their 15 tweet presentation. Twitter limits how much text you can use meaning the information should be precise and to the point. Multimedia is highly encouraged and there's a gold star for the best gif. Everyone else is encouraged to grab a hot drink, interact, retweet, like, reply, ask questions and share your own ideas.

Can you present your AI in education case study, research, project, idea or resource in up to 15 tweets? Submit your idea below and we will get back to you with a timeslot and further details.

Teaching Machines

I've just finished reading Audrey Watters long awaited book, 'Teaching Machines'. I would have read it earlier but it is difficult to get,at least in Spain, taking four weeks to reach me courtesy of Blackwell in Oxford. And it is every bit as good as others have said. It is rare that I get so engrossed in what is  for me a 'work book', but Audrey really is a  very good writer. Anyway here are my eight main take aways from the book.

  1. Ed-tech is not a recent invention. There is a clear line of development between the mechanical teaching machines developed from the 1920s onward in the USA and the computer based Ed-tech we use today.
  2. OK - this is a US based history book. But it is interesting to note that the various companies making or thinking about making Teaching Machines were primarily or more commonly solely interested in the bottom line - ie potential profit and had little or no interest in education per se.
  3. There was already in the last century an ambiguity as to whether technology would replace teachers or was just there to assist them.
  4. Despite the importance of partnerships with industry to manufacture and distribute teaching machines, the driving force behind the development was academics, particularly from the then emergent discipline of psychology
  5. The predominant pedagogic approach was behaviorism with the teaching machines designed to support operant conditioning.
  6. The major motivation behind  advocating the widespread adoption of teaching machines was the idea that the American education system was failing, particularly in languages, sciences and STEM subjects. This was given a huge boost when the Soviet Union beat the USA in first putting a satellite into space.
  7. Teaching machines were largely dependent on standardization and standardized testing in education, both of which were a response to the idea that education was failing
  8. There was no clear evidence that teaching machines actually led to improved learning and learning outcomes

All these things sound horribly familiar to me, having only twenty five or so years experience of the development of educational technology. But then, I guess that  is why Audrey wrote the book in the first place. As a reviewer in Forbes said: "Reading this story, one suspects it might be fair to say that it is ed tech, not public education, that has not made a significant step forward in the last 100 years."

#AIinEd – Pontydysgu EU 2021-09-24 13:11:11

From the UK Open Data Institute:

This week, the UK government launched its first ‘National AI Strategy’, which aims to position the country as the ‘best place to live and work with AI’. The 10-year plan includes things like investing in access to data, using AI to benefit all sectors and regions (including using it for public benefit and towards goals like net zero), and governing data effectively.