Archive for the ‘Pedagogy’ Category

Critical digital pedagogy after covid 19 – reflections on teaching through the screen

February 18th, 2021 by Graham Attwell

I stumbled on Sean’s blog from a tweet. And it was well worth it. Sean says: “We may want to respond to the pandemic, to the pivot online, by waiting it out, by filling in the gaps, by making do; but we must respond by taking a close look at what has happened, revising our approaches to education—even our epistemological beliefs—and letting a generosity of imagination be our modus operandi.”

FutureLearn team up with Microsoft for online AI course

November 18th, 2020 by Graham Attwell

As many of you will know, FutureLearn is the UK Open Universities MOOC arm, run in conjunction with an international consortium of universities. But, I guess like everyone else, FutureLearn is under pressure to make some money. Their first go was offering paid for certificates for course completion. Another attempt has been to persuade people to sign up for an annual subscription, keeping courses open for a year if they pay.

The latest is to partner with industries for courses providing micro accreditation, in some cases industry recognised. So in December Future Learning is launching “Artificial Intelligence on Microsoft Azure: Machine Learning and Python Basics‘, created by CloudSwft and inc conjunction with Microsoft. “On this microcredential”, they say ” you’ll address this challenge by developing key AI skills that can serve as the first steps towards becoming an AI engineer, business analyst, or AI professional.” And, “Yes. If you successfully complete this microcredential, you’ll receive a voucher to sit a separate exam to earn the Microsoft Azure AI Fundamentals (AI-900) and Microsoft Azure AI Engineer Associate (AI-100) certification.”

Why would FutureLearn be giving away vouchers for sitting Microsoft exams. It could be because the 15 week course costs 584 Euros to enroll.  Much as I like microcredentially, this seems a long way from FutureLearn’s past MOOCs free for participation. And if as the course information claims, “artificial intelligence skills are frequently listed among the most in-demand workplace skills in the current and future job market, as organisations seek to harness AI to revolutionise their operations” and “employers are faced with a shortfall of qualified candidates” surely this is an area where public education and trainings services should be providing online course, rather than restricting access to those who can afford to pay for learning new skills.

 

Workshop on Ai and Vocational Education as part of European Vocational Skills Week

November 9th, 2020 by Graham Attwell

geralt (CC0), Pixabay

This week is European Vocational Skills Week.

And as a partner of the European Vocational Skills Week the Taccle AI project, is organising an online workshop on “Artificial Intelligence for and in VET” on Tuesday 10 November 15:00 – 16:30 CET. Our Taccle AI project partners from five European countries will welcome you.

About the Workshop:

AI is particularly important for vocational education and training (VET) as it promises profound changes in employment and work tasks. Not only are some jobs vulnerable and new jobs likely to be created but there will be changing tasks and roles within jobs, requiring changes in initial and continuing training, for those in work as well as those seeking employment. This will require changes in existing VET content, new programmes such as the design of AI systems in different sectors, and adaptation to new ways of cooperative work with AI.

For VET teachers and trainers there are many possible uses of AI including new opportunities for adapting learning content based on student’s needs, new processes for assessment, analysing possible bottlenecks in learners’ domain understanding and improvement in guidance for learners

In our workshop we will explore these issues with short inputs and breakout sessions for discussion by participants around key issues.

Register now (here)!

Sustainable Development and an Action Oriented, Transformative Pedagogy

August 20th, 2020 by Graham Attwell

I missed this presentation at the time but today with the crisis in education due to Covid 19 it seems more relevant than ever. Dr Rajiv Jhangiani says “Education for Sustainable Development does not only integrate contents such as climate change, poverty and sustainable consumption into the curriculum. It asks for an action oriented, transformative pedagogy, which supports self-directed learning, participation, problem orientation, inter- and transdisciplinary an the linking of informal and formal learning.

Only such pedagogical approaches make possible the development of the key competences needed for promoting sustainable development.”

European Union, AI and data strategy

July 9th, 2020 by Graham Attwell
lens, colorful, background

geralt (CC0), Pixabay

is the rapporteur for the industry committe for European Parliament’s own-initiative  on data strategy and  a standing rapporteur on the World Trade Organization e-commerce negotiations in the European Parliament’s international trade committee.

Writing in Social Europe she says:

Building a human-centric data economy and human-centric artificial intelligence starts from the user. First, we need trust. We need to demystify the data economy and AI: people tend to avoid, resist or even fear developments they do not fully understand.

Education plays a crucial role in shaping this understanding and in making digitalisation inclusive. Although better services—such as services used remotely—make life easier also outside cities, the benefits of digitalisation have so far mostly accrued to an educated fragment of citizens in urban metropoles and one of the biggest obstacles to the digital shift is lack of awareness of new possibilities and skills.

Kampula-Natri draws attention to the Finnish-developed, free online course, ‘Elements of AI’. This started as a course for students in the University of Helsinki but has extended  its reach to over 1 per cent of Finnish citizens.

Kampula-Natri points out that in the Nordic countries, the majority of participants on the ‘Elements of AI’ course are female and in the rest of the world the proportion exceeds 40 per cent—more than three times as high as the average ratio of women working in the technology sector. She says that after the course had been running in Finland for a while, the number of women applying to study computer science in the University of Helsinki increased by 80 per cent.

Learning about surveillance

July 3rd, 2020 by Graham Attwell
eye, surveillance, privacy

GDJ (CC0), Pixabay

I found this on the Social Media Collective website. The Social Media Collective is a network of social science and humanistic researchers, part of the Microsoft Research labs in New England and New York.

Yesterday the Wayne County Prosecutor publicly apologized to the first American known to be wrongfully arrested by a facial recognition algorithm: a black man arrested earlier this year by the Detroit Police. The statement cited the unreliability of software, especially as applied to people of color.

With this context in mind, some university and high school instructors teaching about technology may be interested in engaging with the Black Lives Matter protests by teaching about computing, race, and surveillance.

I’m delighted that thanks to the generosity of Tawana Petty and others, ESC can share a module on this topic developed for an online course. You are free to make use of it in your own teaching, or you might just find the materials interesting (or shocking).

The lesson consists of a case study of Detroit’s Project Green Light, a new city-wide police surveillance system that involves automated facial recognition, real-time police monitoring, very-high-resolution imagery, cameras indoors on private property, a paid priority response system, a public/private partnership, and other distinctive features. The system has allegedly been deployed to target peaceful Black Lives Matter protesters.

Here is the lesson:

Race, Policing, and Detroit’s Project Green Light

Artificial Intelligence for and in Vocational Education and Training

June 30th, 2020 by Graham Attwell

Last week the Taccle AI project organised a workshop at the European Distance Education Network (EDEN) Annual Conference. The conference, which had been scheduled to be held in Romania, was moved online due to the Covid 19 pandemic.There were four short presentations followed by an online discussion.

Graham Attwell introduced the workshop and explained the aims of the Taccle AI project. In the next years, he said “AI will change learning, teaching, and education. The speed of technological change will be very fast, and it will create high pressure to transform educational practices, institutions, and policies.” He was followed by Vidmantas Tulys who focused on AI and human work. He put forward five scenarios for the future of work in the light of AI and the fourth industrial revolution. Ludger Deitmer looked at the changes in the mechatronics occupation due to the impact of AI. He examine dhow training was being redesigned to meet new curriculum and occupational needs and how AI was being introduced in the curriculum. Finally, Sofia Roppertz focused on AI for VET, exploring how AI can support access to education, collaborative environments and intelligent tutoring systems to support teachers and trainers.

AI cloud computing to support formative assessment in vocational education and training

June 30th, 2020 by Graham Attwell

geralt (CC0), Pixabay

I have written before abut the the great work being done around AI by Bolton College in the UK and particularly their ADA Chatbot.

One of my main interests about the use of AI in vocational education and training is the potential for freeing  up teachers for more personalized learning support for both those students who are struggling and also for the advanced students. At the moment too many teachers are forced by workloads to teaxh to the middle.

My second big hope is around assessment. Vocational students need, I think, regular feedback and that can come form formative assessment. However, at present teacher do not have the time to prepare and provide feedback on regular formative assessments. But with AI this become possible.

Bolton College previously received VocTech seed funding to prove the concept of using Artificial Intelligence (AI) to analyse short and long form answers and to demonstrate that real-time feedback can be offered to vocational learners as they respond to online open-ended formative assessment tasks.

Their FirstPass tool provided an initial introduction to AI cloud computing technologies which are able to support vocational students and their teachers with open-ended formative assessment tasks.

Now according to Ufi who provide Voctech fundiing, a new project :will provide further development of FirstPass to ensure that it is effective and robust in use and can demonstrably improve the teaching, learning and assessment experience of vocational learners. It will provide teachers with a richer medium for assessing students due to its ability to pose open-ended questions that can be automatically analysed and assessed by a computer, giving students real-time feedback and the opportunity to qualify and clarify their responses.”

What and who is being pivoted

June 30th, 2020 by Graham Attwell

Most universities did a great job in pivoting to online teaching in Spring this year. But fairly obviously some students were left behind. And with the realisation there will be no return to the ‘old normal’ there is a need to think fast about not only about how universities will provide education but about the student experience in the future: as Sheila McNeil puts it “New ways of being and belonging”.

Microcredentials: a new way of monetarising MOOCs?

June 26th, 2020 by Graham Attwell
block chain, data, records

geralt (CC0), Pixabay

There is a bit of a buzz going on at the moment around micro credentials. At the European Distance Learning Network (EDEN) annual conference this week, not only did Anthony Camilleri from the European MicroHE project deliver a keynote presentation on micro credentials but there was three follow up sessions based on the work of the projects

Anthony Camilleri says that “HEIs are increasingly confronted with requests from learners to recognize outside learning such as MOOCs as credit towards a degree. For those, students look for the most prestigious and up to date learning opportunities, which they often find online.” He believes the “recognition of micro-credentials can enhance student motivation, responsibility and determination, enabling more effective learning.”

However, it is noted that there remain barriers to the widespread development of micro credentials. These include scaling procedures for the recognition of prior learning, the emergence of parallel systems of credentials and open courses offered by universities do not necessarily award recognised forms of credit.

The MicroHe project is proposing a harmonised European approach to recognizing and transferring open education digital credentials thus enabling virtual student mobility, and “empowering students to adapt their learning portfolio to changing labour market demands and new technological trends.”

A further argument put forward for Microcredentials is that they provide “an alternative approach towards handling the development needs of the modern-day learner, not only helping individual competence development but also offer increased flexibility and personalization.”

Although the COVID crisis has focused attention on the potential (and possibly, the necessity) of digital course provision a major driver which predates the crisis is the speed of development of automation and AI. There are different predictions of the impact on jobs and perhaps more importantly the tasks with jobs. This diagramme is from a forthcoming publication produced for the Taccle AI project.

But, however it plays out, it seems likely that there will be a need for retraining or upskilling for a significant number of people, and also that there will be increasing demand for highly skilled workers. Microcredentials may well be part of the answer to this need and universities could have a key role in providing online education and training.

However, the question of who pays will be critical. It is interesting that FurtureLearn, the MOOC consortium led by the UK Open University, is getting in on the action. Previously attempts to monetarize their MOOCs has been through charging a fee for certification or extended access to content. But in a email circular this week they announced a new MOOC, run in conjunction with Tableau.

In the age of analytics, transforming large datasets into meaningful customer value is essential to effective data-driven business practice” they say.
“On our new microcredential, Data Analytics for Business with Tableau, starting 13 July, you’ll develop the in-demand data analytics skills you need to progress in your field as a business or data analyst.” The course lasts twelve weeks and is certified by the University of Coventry. It is targeted at early-stage or aspiring data or business analyst, business professional and business or arts graduates looking to start their first professional role. And the cost: 584 Euro for a twelve-week online programme. The course looks very good and the model of micro credentialing could well work. But the cost is likely to be prohibitive for many people, unless, of course there is funding for individuals doing such courses.

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    Cyborg patented?

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    Racial bias in algorithms

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    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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