Notes from Stewart Hase’s keynote (Feb 2020) — with thanks to Dr. Lisa Marie Blaschke in Germany for her Tweet on this

  • The commodification of education – turns out sausages
    or
  • Are we creating more Greta Thunbergs?

Creating learning experiences where people are not sausages. Policymakers don’t get it. Practitioners do.

~11:00 mark –> Learner agency; have control over what they can learn about (inserted graphic from DSC below)

Heutagogy (self-determined learning)

  • …the learner is a partner (agent) in designing and realizing their own learning (Hase & Kenyon, 2000)

PAH continuum – Pedagogy –> Andragogy –>  Heutagogy

Hobby – learned to do it but didn’t go to school for it. How did you go about learning it?

  • Listened to radio, watched YouTube videos, watched other people, trial and error, repeated activity, conversations/reflections/group learning, read books, break things down into smaller parts, seek out a mentor, exploring, testing hypothesis, fail, get stuck and find a way through

Kids know how to do heutagogy – very natural; self-determined learning.

~21:45 To what extent do we incorporate heutagogy into our classrooms?

  • Context and experience – the neurons you bring to the learning table
  • Competence and capability
  • Negotiated learning; let the learner contextualize stuff for you
  • Experiential learning
  • Flexible assessment
  • Chunking the learning
  • Chunk the assessment
  • Flipped classroom
  • Project-based learning

The learning leader: New skills

  • Happy with ambiguity – have to give up control and power
  • Have to trust people
  • Relationship oriented
  • Process not content oriented
  • Coach and guide
  • Scientist
  • Facilitator
 

The 2020 ABA Techshow

Also see:

EU Proposes Strict Regulations for AI — from futuretech360.com by John K. Waters

Excerpt:

The European Union this week unveiled its first proposed regulations for artificial intelligence (AI) technology, along with a strategy for handling personal digital data. The new regs provide guidance around such AI use cases as autonomous vehicles and biometric IDs.

Published online by the European Commission, the proposed regulations would apply to “high-risk” uses of AI in areas such as health care, transportation and criminal justice. The criteria to determine risk would include such considerations as whether a person might get hurt, say, by a self-driving car or a medical device, and how much influence a human has on an AI’s decision in areas like job recruiting and law enforcement.

 

 From DSC:
Here are two other example of AI’s further integration into the legal realm:

Casetext is Automating Litigation — from businesswire.com
Casetext’s new litigation automation technology, Compose, automates substantive legal work — and a substantial number of billable hours

Excerpt:

SAN FRANCISCO–(BUSINESS WIRE)–Casetext, the legal technology company known for its groundbreaking A.I. legal research platform, today announces a new product that will define litigation automation: Compose. Compose, which automates the first draft of a legal brief, is poised to disrupt the $437 billion1 legal services industry and fundamentally change our understanding of what types of professional work are uniquely human.


UC Irvine School of Law To Integrate Blue J Legal’s AI-Enabled Tax Platform into Curriculum
— from businesswire.com
First of its kind initiative aims to prepare graduate students for careers in tax law where AI will be integral to the decision-making process

The joint effort aims to demonstrate why advanced technological integration in higher education is important and how to leverage it, specifically in tax law.

 

 

Soros urges world leaders to back his $1-billion Global Education Network — from chronicle.com by Dan Parks

Excerpt:

George Soros urged world leaders on Thursday to back his Open Society University Network, a $1-billion effort to integrate teaching and research across higher-education institutions worldwide to solve big problems.

The Central European University, which Soros founded, and Bard College will team up with Arizona State University and other institutions around the globe, according to a news release.

From DSC:
This is not an endorsement of the GEN nor do I have any perspectives to relay one way or another re: George Soros. I just find the idea of a global learning network/platform very interesting…and likely a piece of our future learning ecosystems.

 

 
 

Art-filled journeys into the future — methods of futures education for children in lower stage comprehensive school — from kultus.fi by Ilpo Rybatzki and Otto Tähkäpää

Art-filled futures education

 

See this PDF file which contains the following excerpt:

In art, futures literacy plays a significant role. Art has the ability to point elsewhere; to fool and mess around with things and shake up conventions without needing to achieve measurable benefits (Varto, 2008). Art ensures a solid background for imagining alternative worlds. It is important to support a permissive atmosphere that supports experimentation! From the perspective of art pedagogy, activities focus on the idea of art experience as meeting place (Pääjoki, 2004) where people can see themselves in a new light beside another person’s thoughts and imagination. Strengthening futures literacy means supporting transformative learning that aims for change. Through this type of learning, we can question norms, roles, identities and the concept of what is ‘normal’ (Lehtonen et al., 2018).

When discussing the future, we are always discussing values: what kind of future is desirable for any one person? Artistic activity can produce materials through which human meanings can be communicated from one person to another and questions about values in life can be discussed (Varto, 2008; Valkeapää, 2012). Encounters create opportunities for dialogue and enriching one’s perspectives. Important aspects include creating safe settings, the individual expression of the participants, the courage to open up and thrown oneself into the centre of an experience, as well as the courage to question or even completely let go of presumptions. In the age of the environmental crisis, art has a critical role in all of society. We cannot solve difficult problems using the same kind of thinking that created the problems in the first place.

 

FuturePod gathers voices from the international field of Futures and Foresight. Through a series of interviews, the founders of the field and emerging leaders share their stories, tools and experiences.

FuturePod gathers voices from the international field of Futures and Foresight. Through a series of podcast interviews, the founders of the field and emerging leaders share their stories, tools and experiences. The Futures and Foresight community comprises a remarkable and diverse group of individuals who span, academic, commercial and social interests.

 

2019 AI report tracks profound growth — from ide.mit.edu by Paula Klein

Excerpt:

Until now “we’ve been sorely lacking good data about basic questions like ‘How is the technology advancing’ and ‘What is the economic impact of AI?’ ” Brynjolfsson said. The new index, which tracks three times as many data sets as last year’s report, goes a long way toward providing answers.

  1. Education
  • At the graduate level, AI has rapidly become the most popular specialization among computer science PhD students in North America. In 2018, over 21% of graduating Computer Science PhDs specialize in Artificial Intelligence/Machine Learning.
  • Industry is the largest consumer of AI talent. In 2018, over 60% of AI PhD graduates went to industry, up from 20% in 2004.
  • In the U.S., AI faculty leaving academia for industry continues to accelerate, with over 40 departures in 2018, up from 15 in 2012 and none in 2004.

 

In the U.S., #AI faculty leaving #academia for industry continues to accelerate, with over 40 departures in 2018, up from 15 in 2012 and none in 2004.

 

Greta Thunberg is the youngest TIME Person of the Year ever. Here’s how she made history — from time.com

Excerpt:

The politics of climate action are as entrenched and complex as the phenomenon itself, and Thunberg has no magic solution. But she has succeeded in creating a global attitudinal shift, transforming millions of vague, middle-of-the-night anxieties into a worldwide movement calling for urgent change. She has offered a moral clarion call to those who are willing to act, and hurled shame on those who are not. She has persuaded leaders, from mayors to Presidents, to make commitments where they had previously fumbled: after she spoke to Parliament and demonstrated with the British environmental group Extinction Rebellion, the U.K. passed a law requiring that the country eliminate its carbon footprint. She has focused the world’s attention on environmental injustices that young indigenous activists have been protesting for years. Because of her, hundreds of thousands of teenage “Gretas,” from Lebanon to Liberia, have skipped school to lead their peers in climate strikes around the world.

 

Young people! You CAN and will make a big impact/difference!

 

The Jobs of Tomorrow: LinkedIn’s 2020 Emerging Jobs Report — from blog.linkedin.com by Guy Berger

Excerpt:

Here’s what you should know about this year’s emerging jobs.

  • Artificial intelligence (AI) continues to make a strong showing on our Emerging Jobs lists, which is no surprise.
  • Professionals are on the move, likely a result of factors like housing costs, political and regulatory change, or more flexibility with remote work opportunities.
  • Demand for soft skills is likely to increase as automation becomes more widespread. Skills like communication, creativity, and collaboration are all virtually impossible to automate…

Also see these reports:

Online learning is here to stay.
The multibillion-dollar e-learning industry is taking off, and it’s staffing up to prepare. LinkedIn data shows the industry is snapping up both sales and tech talent, indicating continued customer demand for these types of solutions.

 

Think you could learn Mandarin? This Kansas kindergarten classroom is Chinese-only — from by Robert Smith

Excerpts:

In a Wolf Springs Elementary School classroom with “Chinese Only Zone” signs taped to the walls, kindergarteners are learning their core subjects in the primary language of a global economic superpower located across the world.

This language-immersion class of kindergarteners is part of a new Blue Valley School District initiative to graduate high school seniors fluent in a second language, an asset school officials believe will give students a leg up as they pursue academics and careers and prepare students to participate in a global workforce.

Chinese Mandarin, a group of dialects spoken by more than 800 million people, is a tonal language in which the meaning of words can be reflected by voice pitch. Though its grammar is similar to English, words or phrases are represented by Chinese characters.

Besides the usual educational stresses, parents who put their children in the program would need to be committed to the program. Because these kindergarteners are expected to remain together in a Mandarin-speaking classroom all the way through high school, new immersion students can only enter the program in kindergarten.

While other elementary-aged students spend roughly 60 minutes studying Spanish per week, this group of kindergartens spends half of their school time each day with Pan learning math, science and social studies in Mandarin. The groups studies reading and literacy with teacher Haley Watkins in English.

 

“In under a minute we filled all of the slots. That afternoon we had hundreds of people on the waiting list.”

 

From DSC:
Wow! This is quite the K-12 cohort/immersion! Add to that type of setup tools like Cisco Webex, Blackboard Collaborate, Adobe Connect, etc. — and not to mention what happens with virtual reality in the next decade — and this type of cohort/immersion will likely be highly effective over time.

So what will the future classrooms of the world look like? My guess is that with 5G and virtual reality on the way, there will be a lot more “connections” being made in the future…with many nations/classrooms being involved.

iStock-1154674846-purchased-11-21-19
[From my purchase of iStock #1154674846.]

 

FTI 2020 Trend Report for Entertainment, Media, & Technology [FTI]

 

FTI 2020 Trend Report for Entertainment, Media, & Technology — from futuretodayinstitute.com

Our 3rd annual industry report on emerging entertainment, media and technology trends is now available.

  • 157 trends
  • 28 optimistic, pragmatic and catastrophic scenarios
  • 10 non-technical primers and glossaries
  • Overview of what events to anticipate in 2020
  • Actionable insights to use within your organization

KEY TAKEAWAYS

  • Synthetic media offers new opportunities and challenges.
  • Authenticating content is becoming more difficult.
  • Regulation is coming.
  • We’ve entered the post-fixed screen era.
  • Voice Search Optimization (VSO) is the new Search Engine Optimization (SEO).
  • Digital subscription models aren’t working.
  • Advancements in AI will mean greater efficiencies.

 

 

Can you make AI fairer than a judge? Play our courtroom algorithm game — from technologyreview.com by Karen Hao and Jonathan Stray
Play our courtroom algorithm game The US criminal legal system uses predictive algorithms to try to make the judicial process less biased. But there’s a deeper problem.

Excerpt:

As a child, you develop a sense of what “fairness” means. It’s a concept that you learn early on as you come to terms with the world around you. Something either feels fair or it doesn’t.

But increasingly, algorithms have begun to arbitrate fairness for us. They decide who sees housing ads, who gets hired or fired, and even who gets sent to jail. Consequently, the people who create them—software engineers—are being asked to articulate what it means to be fair in their code. This is why regulators around the world are now grappling with a question: How can you mathematically quantify fairness? 

This story attempts to offer an answer. And to do so, we need your help. We’re going to walk through a real algorithm, one used to decide who gets sent to jail, and ask you to tweak its various parameters to make its outcomes more fair. (Don’t worry—this won’t involve looking at code!)

The algorithm we’re examining is known as COMPAS, and it’s one of several different “risk assessment” tools used in the US criminal legal system.

 

But whether algorithms should be used to arbitrate fairness in the first place is a complicated question. Machine-learning algorithms are trained on “data produced through histories of exclusion and discrimination,” writes Ruha Benjamin, an associate professor at Princeton University, in her book Race After Technology. Risk assessment tools are no different. The greater question about using them—or any algorithms used to rank people—is whether they reduce existing inequities or make them worse.

 

You can also see change in these articles as well:

 

 
 

Per Jane Hart on LinkedIn:

Top 200 Tools for Learning 2019 is now published, together with:

PLUS analysis of how these tools are being used in different context, new graphics, and updated comments on the tools’ pages that show how people are using the tools.

 

 

 
© 2025 | Daniel Christian