heutagogy

School 3.0: Reimagining Education in 2026, 2029, and 2034 [Borish]

On 07/19/2024, in 21st century, 24x7x365 access, A/V -- audio/visual, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, education, education technology, emerging technologies, engagement / engaging students, experimentation, face-to-face, flipping -- inverted learning, future, game-changing environment, heutagogy, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, online learning, online media, online tutoring, pace of change, reinvent, skills, staying relevant, teachers, teaching & learning, United States, vision/possibilities, by Daniel Christian

School 3.0: Reimagining Education in 2026, 2029, and 2034 — from davidborish.com by David Borish
.

The landscape of education is on the brink of a profound transformation, driven by rapid advancements in artificial intelligence. This shift was highlighted recently by Andrej Karpathy’s announcement of Eureka Labs, a venture aimed at creating an “AI-native” school. As we look ahead, it’s clear that the integration of AI in education will reshape how we learn, teach, and think about schooling altogether.
…
Traditional textbooks will begin to be replaced by interactive, AI-powered learning materials that adapt in real-time to a student’s progress.
…
As we approach 2029, the line between physical and virtual learning environments will blur significantly.

Curriculum design will become more flexible and personalized, with AI systems suggesting learning pathways based on each student’s interests, strengths, and career aspirations.
…
The boundaries between formal education and professional development will blur, creating a continuous learning ecosystem.

How AI will change education [Woodbury], Introducing Eureka Labs [Karpathy] + numerous other items re: AI in our learning ecosystems

On 07/18/2024, in adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, career development, change, changing business models, colleges, community colleges, computer science, digital learning, education, education technology, emerging technologies, Europe, experimentation, faculty, future, future of higher education, game-changing environment, generational differences, heutagogy, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, Open AI, platforms, productivity / tips and tricks, professional development, programming, student-related, teachers, teaching & learning, tools, UK, United States, universities, vendors, writing, by Daniel Christian

Introducing Eureka Labs — “We are building a new kind of school that is AI native.” — by Andrej Karpathy, Previously Director of AI @ Tesla, founding team @ OpenAI

However, with recent progress in generative AI, this learning experience feels tractable. The teacher still designs the course materials, but they are supported, leveraged and scaled with an AI Teaching Assistant who is optimized to help guide the students through them. This Teacher + AI symbiosis could run an entire curriculum of courses on a common platform. If we are successful, it will be easy for anyone to learn anything, expanding education in both reach (a large number of people learning something) and extent (any one person learning a large amount of subjects, beyond what may be possible today unassisted).

?? Excited to share that I am starting an AI+Education company called Eureka Labs.
The announcement:

—
We are Eureka Labs and we are building a new kind of school that is AI native.

How can we approach an ideal experience for learning something new? For example, in the case… pic.twitter.com/RHPkqdjB8R

— Andrej Karpathy (@karpathy) July 16, 2024

After Tesla and OpenAI, Andrej Karpathy’s startup aims to apply AI assistants to education — from techcrunch.com by Rebecca Bellan

Andrej Karpathy, former head of AI at Tesla and researcher at OpenAI, is launching Eureka Labs, an “AI native” education platform. In tech speak, that usually means built from the ground up with AI at its core. And while Eureka Labs’ AI ambitions are lofty, the company is starting with a more traditional approach to teaching.

San Francisco-based Eureka Labs, which Karpathy registered as an LLC in Delaware on June 21, aims to leverage recent progress in generative AI to create AI teaching assistants that can guide students through course materials.

What does it mean for students to be AI-ready? — from timeshighereducation.com by David Joyner
Not everyone wants to be a computer scientist, a software engineer or a machine learning developer. We owe it to our students to prepare them with a full range of AI skills for the world they will graduate into, writes David Joyner

We owe it to our students to prepare them for this full range of AI skills, not merely the end points. The best way to fulfil this responsibility is to acknowledge and examine this new category of tools. More and more tools that students use daily – word processors, email, presentation software, development environments and more – have AI-based features. Practising with these tools is a valuable exercise for students, so we should not prohibit that behaviour. But at the same time, we do not have to just shrug our shoulders and accept however much AI assistance students feel like using.

Teachers say AI usage has surged since the school year started — from eschoolnews.com by Laura Ascione
Half of teachers report an increase in the use of AI and continue to seek professional learning

Fifty percent of educators reported an increase in AI usage, by both students and teachers, over the 2023–24 school year, according to The 2024 Educator AI Report: Perceptions, Practices, and Potential, from Imagine Learning, a digital curriculum solutions provider.

The report offers insight into how teachers’ perceptions of AI use in the classroom have evolved since the start of the 2023–24 school year.

OPINION: What teachers call AI cheating, leaders in the workforce might call progress — from hechingerreport.org by C. Edward Waston and Jose Antonio Bowen
Authors of a new guide explore what AI literacy might look like in a new era

Excerpt (emphasis DSC):

But this very ease has teachers wondering how we can keep our students motivated to do the hard work when there are so many new shortcuts. Learning goals, curriculums, courses and the way we grade assignments will all need to be reevaluated.

The new realities of work also must be considered. A shift in employers’ job postings rewards those with AI skills. Many companies report already adopting generative AI tools or anticipate incorporating them into their workflow in the near future.

A core tension has emerged: Many teachers want to keep AI out of our classrooms, but also know that future workplaces may demand AI literacy.

What we call cheating, business could see as efficiency and progress.

It is increasingly likely that using AI will emerge as an essential skill for students, regardless of their career ambitions, and that action is required of educational institutions as a result.

Teaching Writing With AI Without Replacing Thinking: 4 Tips — from by Erik Ofgang
AI has a lot of potential for writing students, but we can’t let it replace the thinking parts of writing, says writing professor Steve Graham

Reconciling these two goals — having AI help students learn to write more efficiently without hijacking the cognitive benefits of writing — should be a key goal of educators. Finding the ideal balance will require more work from both researchers and classroom educators, but Graham shares some initial tips for doing this currently.

Why I ban AI use for writing assignments — from timeshighereducation.com by James Stacey Taylor
Students may see handwriting essays in class as a needlessly time-consuming approach to assignments, but I want them to learn how to engage with arguments, develop their own views and convey them effectively, writes James Stacey Taylor

Could they use AI to generate objections to the arguments they read? Of course. AI does a good job of summarising objections to Singer’s view. But I don’t want students to parrot others’ objections. I want them to think of objections themselves.

Could AI be useful for them in organising their exegesis of others’ views and their criticisms of them? Yes. But, again, part of what I want my students to learn is precisely what this outsources to the AI: how to organise their thoughts and communicate them effectively.

How AI Will Change Education — from digitalnative.tech by Rex Woodbury
Predicting Innovation in Education, from Personalized Learning to the Downfall of College

This week explores how AI will bleed into education, looking at three segments of education worth watching, then examining which business models will prevail.

Personalized Learning and Tutoring
Teacher Tools
Alternatives to College
Final Thoughts: Business Models and Why Education Matters

New Guidance from TeachAI and CSTA Emphasizes Computer Science Education More Important than Ever in an Age of AI — from csteachers.org by CSTA
The guidance features new survey data and insights from teachers and experts in computer science (CS) and AI, informing the future of CS education.

SEATTLE, WA – July 16, 2024 – Today, TeachAI, led by Code.org, ETS, the International Society of Technology in Education (ISTE), Khan Academy, and the World Economic Forum, launches a new initiative in partnership with the Computer Science Teachers Association (CSTA) to support and empower educators as they grapple with the growing opportunities and risks of AI in computer science (CS) education.
…

The briefs draw on early research and insights from CSTA members, organizations in the TeachAI advisory committee, and expert focus groups to address common misconceptions about AI and offer a balanced perspective on critical issues in CS education, including:

Why is it Still Important for Students to Learn to Program?
How Are Computer Science Educators Teaching With and About AI?
How Can Students Become Critical Consumers and Responsible Creators of AI?

Daniel Christian: My slides for the Educational Technology Organization of Michigan’s Spring 2024 Retreat

On 06/13/2024, in 21st century, 24x7x365 access, Access to Justice (A2J), adjunct faculty, Adobe, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, business side of he, change, cloud-based computing / apps / other cloud-related, colleges, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, cost of getting a degree, creativity, culture, dangers of the status quo, Daniel S. Christian, data related items, design, digital audio, digital learning, digital photography, digital storytelling, digital video, education technology, emerging technologies, experimentation, faculty, future of higher education, game-changing environment, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, library / librarians, lifelong learning, media/film, microlearning, more voice more choice more control, multimedia, Natural Language Processing (NLP), new business models, NVIDIA, online media, online tutoring, Open AI, pace of change, personalized/customized learning, platforms, productivity / tips and tricks, professional development, reinvent, skills, smart/connected TV, society, staying relevant, streams of content, student-related, surviving, teachers, technologies for your home, technology (general), the downsides of how people use tech, tools, training / L&D, United States, universities, user experience (UX), user interface design, vendors, vision/possibilities, web-based collaboration, workplace, by Daniel Christian

From DSC:
Last Thursday, I presented at the Educational Technology Organization of Michigan’s Spring 2024 Retreat. I wanted to pass along my slides to you all, in case they are helpful to you.

Topics/agenda:

Topics & resources re: Artificial Intelligence (AI)
- Top multimodal players
- Resources for learning about AI
- Applications of AI
- My predictions re: AI
The powerful impact of pursuing a vision
A potential, future next-gen learning platform
Share some lessons from my past with pertinent questions for you all now
The significant impact of an organization’s culture
Bonus material: Some people to follow re: learning science and edtech

Slides of the presentation (.PPTX)
Slides of the presentation (.PDF)

Plus several more slides re: this vision.

Where a developing, new kind of learning ecosystem is likely headed [Christian]

On 11/17/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, career development, change, changing business models, cloud-based computing / apps / other cloud-related, colleges, communities of practice, community colleges, competency-based learning/education, corporate / business world, corporate universities / corporate training, cost of getting a degree, Daniel S. Christian, digital learning, distance education, education, education technology, educational games / serious games, elearning, emerging technologies, engagement / engaging students, faculty, future, future of higher education, game-changing environment, generational differences, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, law schools, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning spaces, lifelong learning, love of learning, marketplaces, microlearning, more voice more choice more control, new business models, online learning, online media, online tutoring, personalized/customized learning, platforms, professional development, reinvent, skills, smart/connected TV, social learning / networks, society, streams of content, student-related, teachers, teaching & learning, teaching online, technologies for your home, training / L&D, trends, ubiquitous learning, United States, universities, using teams, vendors, virtual tutoring, vision/possibilities, vocational / trades, workplace, youth, by Daniel Christian

From DSC:
As I’ve long stated on the Learning from the Living [Class]Room vision, we are heading toward a new AI-empowered learning platform — where humans play a critically important role in making this new learning ecosystem work.

Along these lines, I ran into this site out on X/Twitter. We’ll see how this unfolds, but it will be an interesting space to watch.

From DSC:
This future learning platform will also focus on developing skills and competencies. Along those lines, see:

Scale for Skills-First — from the-job.beehiiv.com by Paul Fain
An ed-tech giant’s ambitious moves into digital credentialing and learner records.

A Digital Canvas for Skills
Instructure was a player in the skills and credentials space before its recent acquisition of Parchment, a digital transcript company. But that $800M move made many observers wonder if Instructure can develop digital records of skills that learners, colleges, and employers might actually use broadly.
…

Ultimately, he says, the CLR approach will allow students to bring these various learning types into a coherent format for employers.

Instructure seeks a leadership role in working with other organizations to establish common standards for credentials and learner records, to help create consistency. The company collaborates closely with 1EdTech. And last month it helped launch the 1EdTech TrustEd Microcredential Coalition, which aims to increase quality and trust in digital credentials.

Paul also links to 1EDTECH’s page regarding the Comprehensive Learning Record

Introducing Teach AI — Empowering educators to teach w/ AI & about AI [ISTE & many others]

On 05/09/2023, in 21st century, 24x7x365 access, adjunct faculty, Amazon, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, change, collaboration, colleges, communities of practice, community colleges, computer science, content development, aggregation, repositories, copyright/ownership/NFTs, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, experimentation, faculty, future, future of higher education, game-changing environment, generational differences, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, leadership, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, learning theories, library / librarians, lifelong learning, Microsoft, more voice more choice more control, online media, online tutoring, open courseware and systems, personalized/customized learning, platforms, productivity / tips and tricks, professional development, programming, research, skills, society, strategy, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online, the downsides of how people use tech, tools, training / L&D, trends, United States, universities, vendors, virtual tutoring, vision/possibilities, web-based collaboration, workplace, youth, by Daniel Christian

Also relevant/see:

Credentialed Learning For All [gettingsmart.com]

On 04/13/2023, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Blockchain, career development, colleges, communities of practice, community colleges, corporate / business world, corporate universities / corporate training, credentialing, education, education reform, experimentation, future, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, ideas, informal learning, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, lifelong learning, pathways, personalized/customized learning, platforms, professional development, reinvent, skills, society, student-related, training / L&D, United States, universities, vendors, virtual K-12 schools, vision/possibilities, workplace, youth, by Daniel Christian

Credentialed Learning For All — from gettingsmart.com

Vision

Learning happens throughout life and is not isolated to the K-12 or higher education sectors. Yet, often, validations of learning only happen in these specific areas. The system of evaluation based on courses, grades, and credit serves as a poor proxy for communicating skills given the variation in course content, grade inflation, and inclusion of participation and extra credit within course grades.

Credentialed learning provides a way to accurately document human capability for all learners throughout their life. A lifetime credentialed learning ecosystem provides better granularity around learning, better documentation of the learning, and more relevance for both the credential recipient and reviewer. This improves the match between higher education and/or employment with the individual, while also providing a more clear and accurate lifetime learning pathway.

With a fully-credentialed system, individuals can own well-documented evidence of a lifetime of learning and choose what and when to share this data. This technology enables every learner to have more opportunities for finding the best career match without today’s existing barriers around cost, access, and proxies.

Addendum on 4/28/23 — speaking of credentials:

First Rung — from the-job.beehiiv.com by Paul Fain
New research shows stacking credentials pays off for low-income learners.

Stacking credentials pays off for many low-income students, new research finds, but only if learners move up the education ladder. Also, Kansas is hoping a new grant program will attract more companies to participate in microinternships.

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.

Thriving education systems, thriving youth [Economist Impact]

On 12/14/2022, in Africa, Asia, Australia, Canada, change, changing business models, curriculum, dangers of the status quo, Design Thinking, education, education reform, Europe, experimentation, future, health, hearts -- matters of the heart, heutagogy, homeschooling/homeschoolers, ideas, India, innovation, instructional design, K-12 related, leadership, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning spaces, legislatures / government / legal, lifelong learning, love of learning, parents/guardians, participation, passions, policy, political science, reinvent, skills, society, strategy, student-related, teachers, teaching & learning, trends, UK, United States, vendors, vision/possibilities, youth, by Daniel Christian

Thriving education systems, thriving youth — from events.economist.com by Economist Impact

Some of the key topics to be discussed include:

What are the challenges in how we measure learning outcomes today, and how does this need to transform?
What is a learning ecosystem? What does a successful learning ecosystem look like?
What factors enable the development of thriving learning ecosystems?
Who are the key stakeholders that make up the learning ecosystem? How do different stakeholders see their role in the learning ecosystem?
Which national policies need to be in place to support effective education ecosystems?
What information and data do we need to assess how well learning ecosystems are performing?
What data do we need to collect so that we don’t perpetuate traditional approaches to defining and measuring success?

What if smart TVs’ new killer app was a next-generation learning-related platform? [Christian]

On 09/06/2022, in 21st century, 24x7x365 access, A/V -- audio/visual, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, change, changing business models, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communications, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, Daniel S. Christian, Design Thinking, digital audio, digital learning, digital photography, digital storytelling, digital textbooks, digital video, disruption, distance education, e-publishing related items (EPUB and more), education, education technology, educational games / serious games, emerging technologies, engagement / engaging students, experimentation, future of higher education, game-changing environment, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, legislatures / government / legal, liberal arts, library / librarians, lifelong learning, more voice more choice more control, multimedia, New "Amazon.com" of Higher Education, online learning, online media, online tutoring, Personal Learning Networks (PLNs), personalized/customized learning, platforms, second screen apps, skills, smart classrooms, smart/connected TV, social learning / networks, society, staying relevant, strategy, streams of content, surviving, teaching & learning, teaching online, technologies for your home, telelegal, telemedicine / telehealth / virtual health, telepresence, television, tools, training / L&D, transmedia, trends, ubiquitous learning, United States, universities, user experience (UX), vendors, videoconferencing, Virtual courts and law firms, virtual field trips, virtual K-12 schools, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, web-based collaboration, Web3, webinars, by Daniel Christian

TV makers are looking beyond streaming to stay relevant — from protocol.com by Janko Roettgers and Nick Statt

Excerpts:

The search for TV’s next killer app
TV makers have some reason to celebrate these days: Streaming has officially surpassed cable and broadcast as the most popular form of TV consumption; smart TVs are increasingly replacing external streaming devices; and the makers of these TVs have largely figured out how to turn those one-time purchases into recurring revenue streams, thanks to ad-supported services.
…
What TV makers need is a new killer app. Consumer electronics companies have for some time toyed with the idea of using TV for all kinds of additional purposes, including gaming, smart home functionality and fitness. Ad-supported video took priority over those use cases over the past few years, but now, TV brands need new ways to differentiate their devices.

Turning the TV into the most useful screen in the house holds a lot of promise for the industry. To truly embrace this trend, TV makers might have to take some bold bets and be willing to push the envelope on what’s possible in the living room.

From DSC:
What if smart TVs’ new killer app was a next-generation learning-related platform? Could smart TVs deliver more blended/hybrid learning? Hyflex-based learning?
.

.

Or what if smart TVs had to do with delivering telehealth-based apps? Or telelegal/virtual courts-based apps?

The future of learning: Co-creating skills development strategies with employee preferences [Young Rivers]

On 08/10/2022, in adult learning, business, career development, collaboration, communications, communities of practice, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, future, heutagogy, ideas, instructional design, learning, learning ecosystem, Learning Experience Design, learning preferences, MOOCs -- Massive Open Online Courses, more voice more choice more control, pace of change, Personal Learning Networks (PLNs), personalized/customized learning, platforms, podcasting, skills, training / L&D, using teams, vendors, vision/possibilities, web-based collaboration, webinars, workplace, by Daniel Christian

The future of learning: Co-creating skills development strategies with employee preferences — from chieflearningofficer.com by Stacey Young Rivers
The limitations of developing just-in-time learning strategies perpetuate a paradigm where learning and development can appear ineffective for teams that have to move quickly and fail fast.

Excerpt:

I believe the future of learning will be a system where employees and learning teams co-create experiences. No longer will skills development programs be created in silos for employees to consume. Gone will be the days of conducting exhaustive needs analysis that can add layers of complexity for program delivery.

The limitations of developing just-in-time learning strategies perpetuate a paradigm where learning and development can appear ineffective for teams that have to move quickly and fail fast. Thinking about how to overcome these challenges conjures a solution similar to a metaverse, a persistent virtual world that is always open. One value proposition of a metaverse is that everyone can create their own adventure in an ecosystem supporting curiosity and experimentation, two areas undergirding skills development.

With this lens, understanding employee preferences for learning is the beginning of co-creating experiences, and one approach for how L&D leaders can begin to structure skills development programs. While conducting a study to engage employees in training, we uncovered new insights into where corporate L&D is headed in the future.

Also relevant here, see:

Workplace Learning: Still a Mess — from eliterate.us by Michael Feldstein

Excerpt:

There’s a mantra these days that higher education needs to get better at listening to industry so they can better prepare students for work. And while there is definitely some truth to that, it assumes that “industry” knows what it needs its workers to know. Former HP CEO Lew Platt once famously said, “If only Hewlett Packard knew what Hewlett Packard knows, we’d be three times more productive.”

In other words, a lot of vital know-how is locked up in pockets within the organization. It doesn’t reach either the training folks or the HR folks. So how are either universities or EdTech professional development companies supposed to serve an invisible need?

It’s not that they don’t know how to learn or they don’t like to learn online. It’s because their experience tells them that their valuable time spent “learning” might not equate to actual skills development.

Addendum on 8/15/22:

Workplace Learning: A Follow-up — from eliterate.us by Michael Feldstein

Will a “Google PhD” become as good as a university-granted PhD? [Dawson]

On 07/05/2022, in 21st century, Alternatives, career development, change, entrepreneurship, future, future of higher education, game-changing environment, generational differences, Google, heutagogy, learning ecosystem, lifelong learning, skills, workplace, by Daniel Christian

Will a “Google PhD” become as good as a university-granted PhD? — from rossdawson.com by Ross Dawson

Excerpt:

A fundamental issue now is the degree to which employers care about the piece of paper as against the knowledge and capability. That is rapidly shifting as companies realize they will often miss out on exceptionally talented people if they insist on formal qualifications.

Entrepreneurs of course only care whether they have the knowledge to do what they’re undertaking.

It is a shifting landscape. Traditional advanced degrees have their place and will not disappear.

But “Google PhDs” will in some cases be as good, if they result in an equivalent level of expertise.

A next generation learning platform will offer this [Christian]

On 06/29/2022, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Blockchain, changing business models, cloud-based computing / apps / other cloud-related, colleges, community colleges, corporate / business world, corporate universities / corporate training, credentialing, Daniel S. Christian, digital learning, education, education technology, emerging technologies, formal learning, future, future of higher education, game-changing environment, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, informal learning, innovation, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning preferences, learning spaces, lifelong learning, marketplaces, Metaverse, MOOCs -- Massive Open Online Courses, skills, society, training / L&D, vendors, by Daniel Christian

DC: In our future learning ecosystems there will be the opportunity to view and access a variety of learning-related resources— similar to this service for entertainment-related items.#learningecosystems #learningfromthelivingclassroom #future #learning pic.twitter.com/9ZD9FbnOvR

— Daniel Christian (he/him/his) (@dchristian5) June 27, 2022

From DSC:
An AI-backed platform will constantly search all job postings and present the most desired skills in the marketplace and then how to get those skills. The providers will be individuals, organizations, training providers, traditional institutions of higher education, vendors and more.

Depending upon what happens with blockchain — and if a much more energy-efficient/environmentally-friendly solution can be implemented — blockchain may be a part of that equation.

Facebook Seems to Be Adding Video-Course Features. For Edtech, That Raises Old Fears. [Mollenkamp]

On 06/22/2022, in Alternatives, Facebook / Meta Platforms, heutagogy, learning ecosystem, Learning from the Living [Class] Room, New "Amazon.com" of Higher Education, online learning, online media, online tutoring, platforms, tools, vendors, web-based collaboration, by Daniel Christian

Facebook Seems to Be Adding Video-Course Features. For Edtech, That Raises Old Fears. — from edsurge.com by Daniel Mollenkamp

Excerpts:

The tech giant Meta, widely known under its previous name Facebook, seems to be eyeing a way to allow users to offer video classes.

Since at least last year, Meta has experimented with Facebook Classes, a program designed to make online instruction through its platform smoother. A consultant recently noticed a company announcement about the features in the U.K. version of the platform and shared a screenshot on Twitter.

New! Facebook Classes for Events

‘Classes’ is new event type which can be selected when creating a new online event on Facebook.

It aims to make it easier to instruct and discover a class on Facebook pic.twitter.com/L0BvBuTXkM

— Matt Navarra (@MattNavarra) January 21, 2021

The company did not respond to questions about the program. But recent reports have speculated that the company could “bootstrap an online course ecosystem.”

Meta’s learning offering could be most trouble for other tech behemoths like Google Classroom and Microsoft Teams, according to some speculations.

Either way, Meta’s possible entrance into the market plays into a long-standing fear of big tech in the edtech industry.

Demarginalizing Design: 3 powerful ways to get started — from ditchthattextbook.com by Dee Lanier

Excerpt:

Get proximate to the pain

Gather the people that are most affected by the problem.
Listen for pain. Emotions such as outrage and frustration are insights into the source of the problem.
Design with them, not for them. Your job is to facilitate the discussion that allows them to come up with their own solutions that affect their community.

From DSC:
You will notice some more postings regarding “Design Thinking” on this Learning Ecosystems blog from time to time. I’m continuing to do this because as we move more toward a reality of lifelong learning, we should probably rethink the entire cradle-to-grave design of our learning ecosystems.

Learning Ecosystems

The future of learning: Co-creating skills development strategies with employee preferences [Young Rivers]

Will a “Google PhD” become as good as a university-granted PhD? [Dawson]

Facebook Seems to Be Adding Video-Course Features. For Edtech, That Raises Old Fears. [Mollenkamp]

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