lifelong learning

Love it or hate it, academics can’t ignore the already pervasive technology. [McMurtrie]

On 03/11/2023, in 21st century, 24x7x365 access, adjunct faculty, change, colleges, community colleges, digital learning, disruption, education technology, emerging technologies, experimentation, faculty, future of higher education, game-changing environment, generational differences, higher education, human-computer interaction (HCI), instructional design, intelligent systems, intelligent tutoring, IT in HE, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, lifelong learning, online media, online tutoring, platforms, productivity / tips and tricks, professional development, student-related, teaching & learning, tools, United States, universities, by Daniel Christian

ChatGPT is Everywhere — from chronicle.com by Beth McMurtrie
Love it or hate it, academics can’t ignore the already pervasive technology.

Excerpt:

Many academics see these tools as a danger to authentic learning, fearing that students will take shortcuts to avoid the difficulty of coming up with original ideas, organizing their thoughts, or demonstrating their knowledge. Ask ChatGPT to write a few paragraphs, for example, on how Jean Piaget’s theories on childhood development apply to our age of anxiety and it can do that.

Other professors are enthusiastic, or at least intrigued, by the possibility of incorporating generative AI into academic life. Those same tools can help students — and professors — brainstorm, kick-start an essay, explain a confusing idea, and smooth out awkward first drafts. Equally important, these faculty members argue, is their responsibility to prepare students for a world in which these technologies will be incorporated into everyday life, helping to produce everything from a professional email to a legal contract.

“Artificial-intelligence tools present the greatest creative disruption to learning that we’ve seen in my lifetime.”

Sarah Eaton, associate professor of education at the University of Calgary

6 Tenets of Postplagiarism: Writing in the Age of #ArtificialIntelligence – In my 2021 book, #Plagiarism in #HigherEducation, I introduce the idea of life in the post-plagiarism era. Here I expand on those ideas.https://t.co/DGzelD9phc pic.twitter.com/hHej4e55zq

— Dr. Sarah Elaine Eaton?? (@DrSarahEaton) February 25, 2023

Artificial intelligence and academic integrity, post-plagiarism — from universityworldnews.com Sarah Elaine Eaton; with thanks to Robert Gibson out on LinkedIn for the resource

Excerpt:

The use of artificial intelligence tools does not automatically constitute academic dishonesty. It depends how the tools are used. For example, apps such as ChatGPT can be used to help reluctant writers generate a rough draft that they can then revise and update.

Used in this way, the technology can help students learn. The text can also be used to help students learn the skills of fact-checking and critical thinking, since the outputs from ChatGPT often contain factual errors.

When students use tools or other people to complete homework on their behalf, that is considered a form of academic dishonesty because the students are no longer learning the material themselves. The key point is that it is the students, and not the technology, that is to blame when students choose to have someone – or something – do their homework for them.

There is a difference between using technology to help students learn or to help them cheat. The same technology can be used for both purposes.

From DSC:
These couple of sentences…

In the age of post-plagiarism, humans use artificial intelligence apps to enhance and elevate creative outputs as a normal part of everyday life. We will soon be unable to detect where the human written text ends and where the robot writing begins, as the outputs of both become intertwined and indistinguishable.

…reminded me of what’s been happening within the filmmaking world for years (i.e., such as in Star Wars, Jurrasic Park, and many others). It’s often hard to tell what’s real and what’s been generated by a computer.

How ChatGPT is going to change the future of work and our approach to education — from livemint.com

From DSC:
I thought that the article made a good point when it asserted:

The pace of technological advancement is booming aggressively and conversations around ChatGPT snatching away jobs are becoming more and more frequent. The future of work is definitely going to change and that makes it clear that the approach toward education is also demanding a big shift.
…
A report from Dell suggests that 85% of jobs that will be around in 2030 do not exist yet. The fact becomes important as it showcases that the jobs are not going to vanish, they will just change and most of the jobs by 2030 will be new.

The Future of Human Agency — from pewresearch.org by Janna Anderson and Lee Rainie

Excerpt:

Thus the question: What is the future of human agency? Pew Research Center and Elon University’s Imagining the Internet Center asked experts to share their insights on this; 540 technology innovators, developers, business and policy leaders, researchers, academics and activists responded. Specifically, they were asked:

By 2035, will smart machines, bots and systems powered by artificial intelligence be designed to allow humans to easily be in control of most tech-aided decision-making that is relevant to their lives?

The results of this nonscientific canvassing:

- 56% of these experts agreed with the statement that by 2035 smart machines, bots and systems will not be designed to allow humans to easily be in control of most tech-aided decision-making.
- 44% said they agreed with the statement that by 2035 smart machines, bots and systems will be designed to allow humans to easily be in control of most tech-aided decision-making.

What are the things humans really want agency over? When will they be comfortable turning to AI to help them make decisions? And under what circumstances will they be willing to outsource decisions altogether to digital systems?

The next big threat to AI might already be lurking on the web — from zdnet.com by Danny Palmer; via Sam DeBrule
Artificial intelligence experts warn attacks against datasets used to train machine-learning tools are worryingly cheap and could have major consequences.

Excerpts:

Data poisoning occurs when attackers tamper with the training data used to create deep-learning models. This action means it’s possible to affect the decisions that the AI makes in a way that is hard to track.

By secretly altering the source information used to train machine-learning algorithms, data-poisoning attacks have the potential to be extremely powerful because the AI will be learning from incorrect data and could make ‘wrong’ decisions that have significant consequences.

Why AI Won’t Cause Unemployment — from pmarca.substack.com by Marc Andreessen

Excerpt:

Normally I would make the standard arguments against technologically-driven unemployment — see good summaries by Henry Hazlitt (chapter 7) and Frédéric Bastiat (his metaphor directly relevant to AI). And I will come back and make those arguments soon. But I don’t even think the standand arguments are needed, since another problem will block the progress of AI across most of the economy first.

Which is: AI is already illegal for most of the economy, and will be for virtually all of the economy.

How do I know that? Because technology is already illegal in most of the economy, and that is becoming steadily more true over time.

How do I know that? Because:

From DSC:
And for me, it boils down to an inconvenient truth: What’s the state of our hearts and minds?

AI, ChatGPT, Large Language Models (LLMs), and the like are tools. How we use such tools varies upon what’s going on in our hearts and minds. A fork can be used to eat food. It can also be used as a weapon. I don’t mean to be so blunt, but I can’t think of another way to say it right now.

Do we care about one another…really?
Has capitalism gone astray?
Have our hearts, our thinking, and/or our mindsets gone astray?
Do the products we create help or hurt others? It seems like too many times our perspective is, “We will sell whatever they will buy, regardless of its impact on others — as long as it makes us money and gives us the standard of living that we want.” Perhaps we could poll some former executives from Philip Morris on this topic.
Or we will develop this new technology because we can develop this new technology. Who gives a rat’s tail about the ramifications of it?

The Top 10 In-Demand Skills For 2030 [Marr]

On 03/01/2023, in 21st century, business, career development, communications, corporate / business world, creativity, data related items, Emotion, leadership, lifelong learning, skills, web-based collaboration, workplace, by Daniel Christian

The Top 10 In-Demand Skills For 2030 — from forbes.com by Bernard Marr

Excerpt:

Digital Literacy
According to the WEF, more than half of the jobs that we do in 2030 will require an understanding of digital technology. This means that people who are able to effectively use digital tools and platforms to solve problems and create value will be increasingly in demand. I would go as far as saying that those who lack digital literacy will be at a severe disadvantage when it comes to competing for jobs and business opportunities by 2030, whatever career path they decide to follow.

From DSC:
It seems to me that the idea of a Trim Tab Group goes waaaaay back. And from an excellent teacher — the LORD.

Mark 2:21 — from bible.com

“No one sews a patch of unshrunk cloth on an old garment. Otherwise, the new piece will pull away from the old, making the tear worse.”

So the idea of starting a small, different group that will grow into an amazingly large group of people may turn out to be the route that the invention of a new lifelong learning ecosystem will need to go through.

Reflections on “Why The Education Economy Is The Next Big Thing For The American Workforce” [Busteed]

On 02/22/2023, in business, career development, change, changing business models, collaboration, colleges, communities of practice, community colleges, corporate / business world, corporate universities / corporate training, dangers of the status quo, Daniel S. Christian, Design Thinking, education, education reform, Emotion, engagement / engaging students, entrepreneurship, experimentation, future, higher education, homeschooling/homeschoolers, ideas, K-12 related, leadership, learning, learning ecosystem, Learning Experience Design, legislatures / government / legal, lifelong learning, motivation, participation, passions, traditional / tradition, training / L&D, United States, universities, by Daniel Christian

Why The Education Economy Is The Next Big Thing For The American Workforce — from fastcompany.com by Brandon Busteed
How can integrating our educational system, our employers, and our job creators affect our modern economy?

Excerpts (emphasis DSC):

Though the economy and education have long been topics of top concern to Americans, we haven’t created strong linkages between the two.

The topics are more like two castles with a large moat between them. Yet there is nothing more important we can do as a country than to build the world’s most effective “educonomy,” which would seamlessly integrate our educational system, our employers, and our job creators.
…
All told, we collected the voices of close to 1 million Americans on this subject in the past year alone. And what we’ve learned is alarming:

Student engagement in school drops precipitously from 5th grade through 12th grade. About three quarters of elementary school kids (76%) are engaged in school, while only 44% of high school kids are engaged. The longer students stay in school, the less engaged they become. If we were doing this right, the trend would be going in the exact opposite direction.

From DSC:
I appreciated the imagery of the economy and education being like two castles with a large moat between them. I, like many others, also use the term siloed to describe our various learning ecosystems — PreK-12, higher education and vocational programming, and the corporate/business world (I realize I could also include those who work in other areas such as the government, but hopefully folks get the gist of what I’m trying to say).

But here’s the most disturbing part (albeit likely not a surprise to those working within K-12 environments):

About seven in 10 K-12 teachers are not engaged in their work (69%), and as a profession, teachers are dead last among all professions Gallup studied in saying their “opinions count” at work and their “supervisors create an open and trusting environment.” We also found that teacher engagement is the most important driver of student engagement. We’ll never improve student engagement until we boost teachers’ own workplace engagement first.

Our older daughter works in an elementary school where several of the teachers left prior to Christmas and more have announced that they are leaving after this academic year. For teachers to leave halfway through the year, you know something is majorly wrong!

I think that legislators are part of the problem, as they straight-jacket teachers, principals, and administrators with all kinds of standardized testing.

Standardized testing is like a wrecking ball on our educational systems -- impacting things like our students' and teachers' sense of joy, play, wonder, and motivation

I would think that such testing dictates the pace and the content and the overall agendas out there. I don’t recall taking nearly as many standardized tests as our youth do today. Looking back, each of my teachers was engaged and seemed to be happy and enthusiastic. I don’t think that’s the case any longer. Let’s ask the teachers — not the legislators — why that is the case and what they would recommend to change things (before it’s too late).

Preparing Today’s Students for the Future Workforce — from rdene915.com by Rachelle Dené Poth

Excerpt:

Today’s high school students are the future of our workforce. Before long they will be in college or starting full-time jobs of their own. But how are today’s students preparing for their futures? What will the workforce look like when these students move on to the next stage of their lives?

Schools, districts, and even state education departments provide various programs for students to gain relevant work experience and gain necessary skills outside of the classroom.

What Are These Programs?
There are a number of school-based programs that support student growth through work such as…

Also relevant/see:

One Foot in the Future — from the BIG questions institute

As an excerpt from an email describing this new/free ebook, Homa Tavangar and Will Richardson write:

We need a fresh set of tools, frameworks, and lenses if we are to meet the future effectively.

With this new ebook, “One Foot in the Future,” we’re charting a different path forward, introducing readers to things like:

Design Fiction – A tool to help us become “archeologists of the future” and help us
Regenerative Learning – A lens that helps us see our work as it impacts all living things
Schoolpunk – A movement and a community to help imagine the future of education together.

And much more.

Our sense is that there is growing appetite to get out of the traditional school box and to design a more aspirational future. This new ebook is a great starting point for anyone who wants to do just that.

How edtech companies should create and empower lifelong learners — from chieflearningofficer.com by Oleg Vilchinski

Excerpt:

Now is the ideal time for a flexible and competent market leader to emerge and seize this opportunity, delivering personalized and lifelong educational solutions and experiences that meet the needs of a learning-hungry populace.
…
Edtech businesses can address this widening skills gap and need for frequent job-switching through those same data-driven ecosystems, which can support the user through their career and leisure activities. For example, a user could sync their profile with their work’s employee portal to receive further professional development. Simultaneously, the technology would support the user during their spare time as they take courses or watch video content ranging from Adobe InDesign to gardening, further refining their skills. And, when it comes time to retire, the user’s trusted ecosystem has a backlog of data to recommend applicable hobbies and community events.

For example, a user could sync their profile with their work’s employee portal to receive further professional development.

Let’s develop a nationwide, direct-to-learner campaign: “Learn how to learn.” [Christian]

On 01/23/2023, in 24x7x365 access, active learning, adjunct faculty, adult learning, career development, collaboration, colleges, communities of practice, community colleges, corporate universities / corporate training, Daniel S. Christian, education, faculty, future, heutagogy, higher education, homeschooling/homeschoolers, hybrid learning, Hyflex learning, ideas, informal learning, instructional design, K-12 related, law schools, leadership, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning theories, legislatures / government / legal, liberal arts, library / librarians, lifelong learning, love of learning, metacognition / metacognitive skills, microlearning, mobile learning, online learning, online media, Personal Learning Networks (PLNs), personalized/customized learning, platforms, professional development, psychology, skills, society, sociology, strategy, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online, traditional / tradition, training / L&D, United States, universities, vision/possibilities, web-based collaboration, by Daniel Christian

From DSC:
Let’s put together a nationwide campaign that would provide a website — or a series of websites if an agreement can’t be reached amongst the individual states — about learning how to learn. In business, there’s a “direct-to-consumer” approach. Well, we could provide a “direct-to-learner” approach — from cradle to grave. Seeing as how everyone is now required to be a lifelong learner, such a campaign would have enormous benefits to all of the United States. This campaign would be located in airports, subway stations, train stations, on billboards along major highways, in libraries, and in many more locations.

We could focus on things such as:

Quizzing yourself / retrieval practice
Spaced retrieval
Interleaving
Elaboration
Chunking
Cognitive load
Learning by doing (active learning)
Journaling
The growth mindset
Metacognition (thinking about one’s thinking)
Highlighting doesn’t equal learning
There is deeper learning in the struggle
…and more.

A learn how to learn campaign covering airports, billboards, subways, train stations, highways, and more

NOTE:
The URL I’m using above doesn’t exist, at least not at the time of this posting.
But I’m proposing that it should exist.

A group of institutions, organizations, and individuals could contribute to this. For example The Learning Scientists, Daniel Willingham, Donald Clark, James Lang, Derek Bruff, The Learning Agency Lab, Robert Talbert, Pooja Agarwal and Patrice Bain, Eva Keffenheim, Benedict Carey, Ken Bain, and many others.

Perhaps there could be:

discussion forums to provide for social interaction/learning
scheduled/upcoming webinars
how to apply the latest evidence-based research in the classroom
link(s) to learning-related platforms and/or resources

Some example components of a learning ecosystem [Christian]

On 01/20/2023, in 21st century, A/V -- audio/visual, active learning, adjunct faculty, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), blended learning, blogs / blogging / vlogging, bots, Canvas - and other Instructure-related items, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communities of practice, community colleges, competency-based learning/education, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital audio, digital learning, digital textbooks, digital video, e-books, e-publishing related items (EPUB and more), education technology, educational games / serious games, elearning, face-to-face, faculty, heutagogy, higher education, human-computer interaction (HCI), hybrid learning, Hyflex learning, informal learning, instructional design, intelligent systems, intelligent tutoring, K-12 related, law schools, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, learning theories, library / librarians, lifelong learning, microlearning, mobile learning, MOOCs -- Massive Open Online Courses, online learning, online media, online tutoring, open courseware and systems, parents/guardians, pedagogy, personalized/customized learning, platforms, play, podcasting, professional development, social learning / networks, social media, society, streams of content, student-related, teachers, teaching & learning, technology (general), tools, training / L&D, universities, videoconferencing, Virtual Reality (VR) / worlds / learning, vocational / trades, webinars, by Daniel Christian

A learning ecosystem is composed of people, tools, technologies, content, processes, culture, strategies, and any other resource that helps one learn. Learning ecosystems can be at an individual level as well as at an organizational level.

Some example components:

Subject Matter Experts (SMEs) such as faculty, staff, teachers, trainers, parents, coaches, directors, and others
Fellow employees
L&D/Training professionals
Managers
Instructional Designers
Librarians
Consultants
Types of learning
- Active learning
- Adult learning
- PreK-12 education
- Training/corporate learning
- Vocational learning
- Experiential learning
- Competency-based learning
- Self-directed learning (i.e., heutagogy)
- Mobile learning
- Online learning
- Face-to-face-based learning
- Hybrid/blended learning
- Hyflex-based learning
- Game-based learning
- XR-based learning (AR, MR, and VR)
- Informal learning
- Formal learning
- Lifelong learning
- Microlearning
- Personalized/customized learning
- Play-based learning
Cloud-based learning apps
Coaching & mentoring
Peer feedback
Job aids/performance tools and other on-demand content
Websites
Conferences
Professional development
Professional organizations
Social networking
Social media – Twitter, LinkedIn, Facebook/Meta, other
Communities of practice
Artificial Intelligence (AI) — including ChatGPT, learning agents, learner profiles,
LMS/CMS/Learning Experience Platforms
Tutorials
Videos — including on YouTube, Vimeo, other
Job-aids
E-learning-based resources
Books, digital textbooks, journals, and manuals
Enterprise social networks/tools
RSS feeds and blogging
Podcasts/vodcasts
Videoconferencing/audio-conferencing/virtual meetings
Capturing and sharing content
Tagging/rating/curating content
Decision support tools
Getting feedback
Webinars
In-person workshops
Discussion boards/forums
Chat/IM
VOIP
Online-based resources (periodicals, journals, magazines, newspapers, and others)
Learning spaces
Learning hubs
Learning preferences
Learning theories
Microschools
MOOCs
Open courseware
Portals
Wikis
Wikipedia
Slideshare
TED talks
…and many more components.

These people, tools, technologies, etc. are constantly morphing — as well as coming and going in and out of our lives.

14 Technology Predictions for Higher Education in 2023 [Kelly]

On 01/17/2023, in accessibility / UDL, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, blended learning, career development, change, collaboration, colleges, community colleges, credentialing, data related items, education technology, emerging technologies, experimentation, future, global / globalization, higher education, human-computer interaction (HCI), hybrid learning, ideas, innovation, instructional design, IT in HE, learning ecosystem, Learning Experience Design, learning preferences, liberal arts, lifelong learning, online learning, personalized/customized learning, skills, teaching & learning, technology (general), tools, United States, universities, vendors, by Daniel Christian

14 Technology Predictions for Higher Education in 2023 — from campustechnology.com by Rhea Kelly
How will technologies and practices like artificial intelligence, predictive analytics, digital transformation, and change management impact colleges and universities this year? Here’s what the experts told us.

Excerpt:

In an open call on LinkedIn, we asked higher education and ed tech industry leaders to forecast the most important trends to watch in the coming year. Their responses reflect both the challenges on the horizon — persistent cyber attacks, the disruptive force of emerging technologies, failures in project management — as well as the opportunities that technology brings to better serve students and support the institutional mission. Here are 14 predictions to help steer your technology efforts in 2023.

Unschooler: Your AI Vocational Mentor — from techacute.com by Gabriel Scharffenorth

Excerpt (emphasis DSC):

AI to help realize your dream career
The Unschooler mentor helps you understand what you need to do to achieve your dream career. You can select one of six broad areas of expertise: science, people, tech, info, art, and business. The platform will then ask questions related to your future career.

It also has some other useful features. Unschooler keeps track of your skills by adding them to a skill map that’s unique to you. You can also ask it to expand on the information it has already given you. This is done by selecting the text and clicking one of four buttons: more, example, how to, explain, and a question mark icon that defines the selected text. There’s also a mobile app that analyzes text from pictures and explains tasks or concepts.

From DSC:
This integration of AI is part of the vision that I’ve been tracking at:

Learning from the living [class] room
A vision that continues to develop, where the pieces are finally coming into place!

From DSC:
Below is another example of the need for Design Thinking as we rethink a cradle-to-grave learning ecosystem.

The United States Needs a Comprehensive Approach to Youth Policy — from cew.georgetown.edu

Excerpt (emphasis DSC):

On the education front, federal legislation serves as an umbrella for many state and local policies and programs. Education policy is further fragmented into K–12 and postsecondary silos.

An all-one-system approach to youth policy would support young people along the entire continuum of their journey from school to work. It would help them attain both postsecondary education and quality work experience to support their transitions from education to good jobs. In this modernized approach, preschools, elementary and secondary schools, community colleges, four-year universities, employers, and governments would all follow an integrated playbook, helping to smooth out young people’s path from pre-K–12 to college and work. To transform youth policy, systemic reforms should incorporate the following:

Playing with ChatGPT: now I’m scared (a little) — from tonybates.ca by Tony Bates

Excerpt:

Over the holiday season, lots of people play games such as Scrabble, cards or crossword puzzles. I decided to play with ChatGPT by testing it in areas where I consider myself an expert. (For more about ChatGPT, go to Broom, 2022)

I will first of all show you the responses I got from ChatGPT, then I will discuss the results, comparing them to what I wrote about these topics in Teaching in a Digital Age.

Example questions that Tony asked (emphasis DSC):

What is the difference between synchronous and asynchronous learning? Give references.
What are the limitations of teaching chemistry online? Give references
What are the affordances of video in teaching? Give references

Subject: The Edge: Today’s Issues in Schools; Tomorrow’s Higher-Ed Challenges

Excerpts:

Issues like chronic absenteeism in big urban and rural districts, the impact of classroom shootings on kids, and schools’ struggles to handle teenagers’ mental-health challenges might not be day-to-day concerns for college leaders and those who work with them. But these will matter to higher ed in the not-so-distant future, as those K-to-12 students make their way to college. And they could matter even more if those students don’t ever even make it to college.

Words of wisdom:

Those of us who might be a little higher-ed siloed in our thinking on education would do well to widen our perspective.

From DSC:
And it isn’t just about the impacts of COVID-19 either — though those things are very important. We would do well to get out of our siloes and practice some high-level design thinking to implement a cradle-to-grave, lifelong learning ecosystem. The vocational and corporate training worlds are highly relevant here as well.

DC: What if there was a “remote learning channel” for every college/university classroom? A remote learner would have to pay a small flat fee to audit or drop into the class.

— Daniel Christian (he/him/his) (@dchristian5) December 31, 2022

From DSC:
Perhaps such a network type of setup could provide audio-visual-based links that people could provide to one another.

Learning Ecosystems

Several items re: ChatGPT’s potential influence on the future of work, on our learning ecosystems, and on society

Playing with ChatGPT: now I’m scared (a little) [Bates]

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