lifelong learning

Social media as a learning tool: Five suggested uses for the classroom [frontierinternet.com]

On 11/08/2018, in 21st century, active learning, adjunct faculty, blogs / blogging / vlogging, Bring your own device (BYOD), cloud-based computing / apps / other cloud-related, collaboration, colleges, communications, community colleges, creativity, digital learning, education, education technology, engagement / engaging students, faculty/staff, higher education, ideas, instructional design, internet, IT in HE, journalism, K-12 related, learning, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, online learning, participation, pedagogy, personalized/customized learning, platforms, productivity / tips and tricks, social learning / networks, social media, society, staying relevant, strategy, streams of content, student teaching/teacher education, student-related, teachers, teaching & learning, technologies for your home, tools, universities, vendors, web-based collaboration, writing, youth, by Daniel Christian

Social media as a learning tool: Five suggested sses for the classroom — from frontierinternet.com; with thanks to Laura Tscholl, Communications Specialist | The Gateway for this resource

“Affordable and at-scale” [Schroeder] + “Trends for the future of education with Jeff Selingo” [Steelcase]

On 10/31/2018, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence/Agents/LLMs/and Related, assistive technologies, business side of he, career development, change, colleges, communities of practice, community colleges, computer science, cost of getting a degree, dangers of the status quo, digital learning, disruption, distance education, education, education reform, education technology, emerging technologies, face-to-face, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning spaces, lifelong learning, MOOCs -- Massive Open Online Courses, new business models, online learning, United States, universities, vendors, vision/possibilities, web-based collaboration, by Daniel Christian

Affordable and at-scale — from insidehighered.com by Ray Schroeder
Affordable degrees at scale have arrived. The momentum behind this movement is undeniable, and its impact will be significant, Ray Schroeder writes.

Excerpt (emphasis DSC):

How many times have we been told that major change in our field is on the near horizon? Too many times, indeed.

The promises of technologies and practices have fallen short more often than not. Just seven years ago, I was part of the early MOOC movement and felt the pulsating potential of teaching thousands of students around the world in a single class. The “year of the MOOC” was declared in 2012. Three years later, skeptics declared that the MOOC had died an ignominious death with high “failure” rates and relatively little recognition by employers.

However, the skeptics were too impatient, misunderstood the nature of MOOCs and lacked the vision of those at Georgia Tech, the University of Illinois, Arizona State University, Coursera, edX and scores of other institutions that have persevered in building upon MOOCs’ premises to develop high-quality, affordable courses, certificates and now, degrees at scale.

No, these degrees are not free, but they are less than half the cost of on-campus versions. No, they are not massive in the hundreds of thousands, but they are certainly at large scale with many thousands enrolled. In computer science, the success is felt across the country.

Georgia Tech alone has enrolled 10,000 students over all in its online master’s program and is adding thousands of new students each semester in a top 10-ranked degree program costing less than $7,000. Georgia Tech broke the new ground through building collaborations among several partners. Yet, that was just the beginning, and many leading universities have followed.

Also see:

Trends for the future of education with Jeff Selingo — from steelcase.com
How the future of work and new technology will make place more important than ever.

Excerpt:

Selingo sees artificial intelligence and big data as game changers for higher education. He says AI can free up professors and advisors to spend more time with students by answering some more frequently-asked questions and handling some of the grading. He also says data can help us track and predict student performance to help them create better outcomes. “When they come in as a first-year student, we can say ‘People who came in like you that had similar high school grades and took similar classes ended up here. So, if you want to get out of here in four years and have a successful career, here are the different pathways you should follow.’”

Academics Propose a ‘Blockchain University,’ Where Faculty (and Algorithms) Rule — from edsurge.com by Jeff Young

Excerpt:

A group of academics affiliated with Oxford University have proposed a new model of higher education that replaces traditional administrators with “smart contracts” on the blockchain, the same technology that drives Bitcoin and other cryptocurrencies.

“Our aim is to create a university in which the bulk of administrative tasks are either eliminated or progressively automated,” said the effort’s founders in a white paper released earlier this year. Those proposing the idea added the university would be “a decentralised, non-profit, democratic community in which the use of blockchain technology will provide the contractual stability needed to pursue a full course of study.”

Experiments with blockchain in higher education are underway at multiple campuses around the country, and many of researchers are looking into how to use the technology to verify and deliver credentials. Massachusetts Institute for Technology, for example, began issuing diplomas via blockchain last year.

The plan by Oxford researchers goes beyond digital diplomas—and beyond many typical proposals to disrupt education in general. It argues for a completely new framework for how college is organized, how professors are paid, and how students connect with learning. In other words, it’s a long shot.

But even if the proposed platform never emerges, it is likely to spur debates about whether blockchain technology could one day allow professors to reclaim greater control of how higher education operates through digital contracts.

The platform would essentially allow professors to organize their own colleges, and teach and take payments from students directly. “

Reflections on “Inside Amazon’s artificial intelligence flywheel” [Levy]

On 10/19/2018, in 21st century, 24x7x365 access, A/V -- audio/visual, Amazon, analytics, Artificial Intelligence/Agents/LLMs/and Related, bots, career development, colleges, communities of practice, community colleges, competency-based learning/education, computer science, content development, aggregation, repositories, corporate / business world, cost of getting a degree, dangers of the status quo, Daniel S. Christian, data related items, digital learning, disruption, distance education, e-books, e-publishing related items (EPUB and more), e-readers, education, education reform, education technology, educational games / serious games, elearning, emerging technologies, engagement / engaging students, entrepreneurship, experimentation, future, future of higher education, game-changing environment, generational differences, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, interactivity, internet, 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, library / librarians, lifelong learning, microlearning, mobile learning, MOOCs -- Massive Open Online Courses, more voice more choice more control, multimedia, Natural Language Processing (NLP), new business models, online learning, online media, online tutoring, personalized/customized learning, platforms, reinvent, second screen apps, social learning / networks, society, staying relevant, streams of content, student-related, surviving, teaching online, technologies for your home, tools, training / L&D, trends, United States, universities, usability, user experience (UX), vision/possibilities, voice recognition / voice enabled interfaces, workplace, by Daniel Christian

Inside Amazon’s artificial intelligence flywheel — from wired.com by Steven Levy
How deep learning came to power Alexa, Amazon Web Services, and nearly every other division of the company.

Excerpt (emphasis DSC):

Amazon loves to use the word flywheel to describe how various parts of its massive business work as a single perpetual motion machine. It now has a powerful AI flywheel, where machine-learning innovations in one part of the company fuel the efforts of other teams, who in turn can build products or offer services to affect other groups, or even the company at large. Offering its machine-learning platforms to outsiders as a paid service makes the effort itself profitable—and in certain cases scoops up yet more data to level up the technology even more.

It took a lot of six-pagers to transform Amazon from a deep-learning wannabe into a formidable power. The results of this transformation can be seen throughout the company—including in a recommendations system that now runs on a totally new machine-learning infrastructure. Amazon is smarter in suggesting what you should read next, what items you should add to your shopping list, and what movie you might want to watch tonight. And this year Thirumalai started a new job, heading Amazon search, where he intends to use deep learning in every aspect of the service.

“If you asked me seven or eight years ago how big a force Amazon was in AI, I would have said, ‘They aren’t,’” says Pedro Domingos, a top computer science professor at the University of Washington. “But they have really come on aggressively. Now they are becoming a force.”

Maybe the force.

From DSC:
When will we begin to see more mainstream recommendation engines for learning-based materials? With the demand for people to reinvent themselves, such a next generation learning platform can’t come soon enough!

Turning over control to learners to create/enhance their own web-based learner profiles; and allowing people to say who can access their learning profiles.
AI-based recommendation engines to help people identify curated, effective digital playlists for what they want to learn about.
Voice-driven interfaces.
Matching employees to employers.
Matching one’s learning preferences (not styles) with the content being presented as one piece of a personalized learning experience.
From cradle to grave. Lifelong learning.
Multimedia-based, interactive content.
Asynchronously and synchronously connecting with others learning about the same content.
Online-based tutoring/assistance; remote assistance.
Reinvent. Staying relevant. Surviving.
Competency-based learning.

We’re about to embark on a period in American history where career reinvention will be critical, perhaps more so than it’s ever been before. In the next decade, as many as 50 million American workers—a third of the total—will need to change careers, according to McKinsey Global Institute. Automation, in the form of AI (artificial intelligence) and RPA (robotic process automation), is the primary driver. McKinsey observes: “There are few precedents in which societies have successfully retrained such large numbers of people.”

Bill Triant and Ryan Craig

Also relevant/see:

Online education’s expansion continues in higher ed with a focus on tech skills — from educationdive.com by James Paterson

Dive Brief:

Online learning continues to expand in higher ed with the addition of several online master’s degrees and a new for-profit college that offers a hybrid of vocational training and liberal arts curriculum online.
Inside Higher Ed reported the nonprofit learning provider edX is offering nine master’s degrees through five U.S. universities — the Georgia Institute of Technology, the University of Texas at Austin, Indiana University, Arizona State University and the University of California, San Diego. The programs include cybersecurity, data science, analytics, computer science and marketing, and they cost from around $10,000 to $22,000. Most offer stackable certificates, helping students who change their educational trajectory.
Former Harvard University Dean of Social Science Stephen Kosslyn, meanwhile, will open Foundry College in January. The for-profit, two-year program targets adult learners who want to upskill, and it includes training in soft skills such as critical thinking and problem solving. Students will pay about $1,000 per course, though the college is waiving tuition for its first cohort.

AI Forces Shaping Work & Learning in 2030 [IFTF and Lumina Foundation]

On 10/18/2018, in 21st century, analytics, Artificial Intelligence/Agents/LLMs/and Related, bots, career development, change, changing business models, colleges, community colleges, competency-based learning/education, computer science, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, future, future of higher education, game-changing environment, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, K-12 related, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, personalized/customized learning, platforms, programming, society, staying relevant, student-related, technologies for your home, technology (general), tools, training / L&D, trends, United States, universities, vendors, vision/possibilities, by Daniel Christian

In the 2030 and beyond world, employers will no longer be a separate entity from the education establishment. Pressures from both the supply and demand side are so large that employers and learners will end up, by default, co-designing new learning experiences, where all learning counts.

OBJECTIVES FOR CONVENINGS

Identify the skills everyone will need to navigate the changing relationship between machine intelligence and people over the next 10-12 years.
Develop implications for work, workers, students, working learners, employers, and policymakers.
Identify a preliminary set of actions that need to be taken now to best prepare for the changing work + learn ecosystem.

Three key questions guided the discussions:

What are the LEAST and MOST essential skills needed for the future?
Where and how will tomorrow’s workers and learners acquire the skills they really need?
Who is accountable for making sure individuals can thrive in this new economy?

This report summarizes the experts’ views on what skills will likely be needed to navigate the work + learn ecosystem over the next 10–15 years—and their suggested steps for better serving the nation’s future needs.

In a new world of work, driven especially by AI, institutionally-sanctioned curricula could give way to AI-personalized learning. This would drastically change the nature of existing social contracts between employers and employees, teachers and students, and governments and citizens. Traditional social contracts would need to be renegotiated or revamped entirely. In the process, institutional assessment and evaluation could well shift from top-down to new bottom-up tools and processes for developing capacities, valuing skills, and managing performance through new kinds of reputation or accomplishment scores.

…

In October 2017, Chris Wanstrath, CEO of Github, the foremost code-sharing and social networking resource for programmers today, made a bold statement: “The future of coding is no coding at all.” He believes that the writing of code will be automated in the near future, leaving humans to focus on “higher-level strategy and design of software.” Many of the experts at the convenings agreed. Even creating the AI systems of tomorrow, they asserted, will likely require less human coding than is needed today, with graphic interfaces turning AI programming into a drag-and-drop operation.

Digital fluency does not mean knowing coding languages. Experts at both convenings contended that effectively “befriending the machine” will be less about teaching people to code and more about being able to empathize with AIs and machines, understanding how they “see the world” and “think” and “make decisions.” Machines will create languages to talk to one another.

…

Here’s a list of many skills the experts do not expect to see much of—if at all—in the future:

Coding. Systems will be self-programming.
Building AI systems. Graphic interfaces will turn AI programming into drag-and-drop operations.
Calendaring, scheduling, and organizing. There won’t be need for email triage.
Planning and even decision-making. AI assistants will pick this up.
Creating more personalized curricula. Learners may design more of their own personalized learning adventure.
Writing and reviewing resumes. Digital portfolios, personal branding, and performance reputation will replace resumes.
Language translation and localization. This will happen in real time using translator apps.
Legal research and writing. Many of our legal systems will be automated.
Validation skills. Machines will check people’s work to validate their skills.
Driving. Driverless vehicles will replace the need to learn how to drive.

Here’s a list of the most essential skills needed for the future:

Quantitative and algorithmic thinking.
Managing reputation.
Storytelling and interpretive skills.
First principles thinking.
Communicating with machines as machines.
Augmenting high-skilled physical tasks with AI.
Optimization and debugging frame of mind.
Creativity and growth mindset.
Adaptability.
Emotional intelligence.
Truth seeking.
Cybersecurity.

The rise of machine intelligence is just one of the many powerful social, technological, economic, environmental, and political forces that are rapidly and disruptively changing the way everyone will work and learn in the future. Because this largely tech-driven force is so interconnected with other drivers of change, it is nearly impossible to understand the impact of intelligent agents on how we will work and learn without also imagining the ways in which these new tools will reshape how we live.

What will be important in the learn and work ecosystem in 2030? How do we prepare? — from evolllution.com by Holly Zanville | Senior Advisor for Credentialing and Workforce Development, Lumina Foundation

Excerpt:

These seven suggested actions—common to all scenarios—especially resonated with Lumina:

Focus on learning: All learners will need a range of competencies and skills, most critically: learning how to learn; having a foundation in math, science, IT and cross-disciplines; and developing the behaviors of grit, empathy and effective communication.
Prepare all “systems”: Schools will continue to be important places to teach competencies and skills. Parents will be important teachers for children. Workplaces will also be important places for learning, and many learners will need instruction on how to work effectively as part of human/machine teams.
Integrate education and work: Education systems will need to be integrated with work in an education/work ecosystem. To enable movement within the ecosystem, credentials will be useful, but only if they are transparent and portable. The competencies and skills that stand behind credentials will need to be identifiable, using a common language to enable (a) credential providers to educate/train for an integrated education/work system; (b) employers to hire people and upgrade their skills; and (c) governments (federal/state/local) to incentivize and regulate programs and policies that support the education/work system.
Assess learning: Assessing competencies and skills acquired in multiple settings and modes (including artificial reality and virtual reality tools), will be essential. AI will enable powerful new assessment tools to collect and analyze data about what humans know and can do.
Build fair, moral AI: There will be a high priority on ensuring that AI has built-in checks and balances that reflect moral values and honor different cultural perspectives.
Prepare for human/machine futures: Machines will join humans in homes, schools and workplaces. Machines will likely be viewed as citizens with rights. Humans must prepare for side-by-side “relationships” with machines, especially in situations in which machines will be managing aspects of education, work and life formerly managed by humans. Major questions will also arise about the ownership of AI structures—what ownership looks like, and who profits from ubiquitous AI structures.
Build networks for readiness/innovation: Open and innovative partnerships will be needed for whatever future scenarios emerge. In a data-rich world, we won’t solve problems alone; networks, partnerships and communities will be key.

Also see:

Why giving kids a roadmap to their brain can make learning easier — from edsurge.com by Megan Nellis

Excerpts:

Learning, Down to a Science
Metacognition. Neuroplasticity. Retrieval Practice. Amygdala. These aren’t the normal words you’d expect to hear in a 15-year-old rural South African’s vocabulary. Here, though, it’s common talk. And why shouldn’t it be? Over the years, we’ve found youth are innately hungry to learn about the inner workings of their mind—where, why and how learning, thinking and decision-making happens. So, we teach them cognitive science.
…
Over the next three years, we teach students about the software and hardware of the brain. From Carol Dweck’s online Brainology curriculum, they learn about growth mindset, memory and mnemonics, the neural infrastructure of the brain. They learn how stress impacts learning and about neuroplasticity—or how the brain learns. From David Eagleman and Dan Siegel, they learn about the changing landscape of the adolescent brain and how novelty, emotionality and peer relationships aid in learning.
…
Pulling from books such as Make It Stick and How We Learn, we pointedly teach students about the science behind retrieval practice, metacognition and other strategies. We expressly use them in our classes so students see and experience the direct impact, and we also dedicate a whole class in our program for students to practice applying these strategies toward their own academic learning from school.

3 trends shaping the future world of work — from hrtechnologist.com by Becky Frankiewicz, President of Manpower Group North America

Excerpt:

In a world of constant change, continuity has given way to adaptability. It’s no secret the world of work has changed. Yet today it’s changing faster than ever before.

The impact of technology means new skills and new roles are emerging as fast as others become extinct.

My career path is a case in point. When I entered high school, I intended to follow a linear career path similar to generations before me. Pick a discipline, get a degree, commit to it, retire. Now in my fourth career, that’s not how it worked out, and I’m glad. In fact, the only true constant I’ve had is constant learning. Because success in the future won’t be defined by performance, but by potential and the ability to learn, apply and adapt.

From Jobs for Life to Skills for Life
Each day we see firsthand technology’s impact on jobs. 65% of the jobs my three daughters will do don’t even exist yet. Employability is less about what you already know and more about your capacity to learn. It requires a new mindset for us to develop a workforce with the right skillsets, and for individuals seeking to advance their careers. We need to be ready to help upskill and reskill people for new jobs and new roles.

NEW: The Top Tools for Learning 2018 [Jane Hart]

On 09/29/2018, in A/V -- audio/visual, active learning, adjunct faculty, Adobe, adult learning, animation, Apple, Asia, assistive technologies, Australia, blended learning, blogs / blogging / vlogging, Canada, career development, change, cloud-based computing / apps / other cloud-related, collaboration, colleges, communications, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, design, digital audio, digital learning, digital photography, digital storytelling, digital video, distance education, e-books, e-publishing related items (EPUB and more), e-readers, education, education technology, educational games / serious games, elearning, Europe, Google, graphics, heutagogy, higher education, homeschooling/homeschoolers, India, instructional design, internet, IT in HE, K-12 related, learning, learning ecosystem, lifelong learning, media/film, microlearning, Microsoft, mobile learning, mobile technologies, MOOCs -- Massive Open Online Courses, more voice more choice more control, multimedia, online learning, platforms, podcasting, presentations, productivity / tips and tricks, professional development, smart classrooms, social learning / networks, social media, society, story, storytelling, streams of content, student teaching/teacher education, student-related, tablets, teachers, teaching & learning, teaching online, technologies for your home, technology (general), telecommunications, tools, training / L&D, trends, UK, United States, universities, vendors, videoconferencing, Virtual Reality (VR) / worlds / learning, web design and production, web-based collaboration, workplace, by Daniel Christian

The above was from Jane’s posting 10 Trends for Digital Learning in 2018 — from modernworkplacelearning.com by Jane Hart

Excerpt:

[On 9/24/18], I released the Top Tools for Learning 2018 , which I compiled from the results of the 12th Annual Digital Learning Tools Survey.

I have also categorised the tools into 30 different areas, and produced 3 sub-lists that provide some context to how the tools are being used:

Top 100 Tools for Personal & Professional Learning 2018 (PPL100): the digital tools used by individuals for their own self-improvement, learning and development – both inside and outside the workplace.
Top 100 Tools for Workplace Learning (WPL100): the digital tools used to design, deliver, enable and/or support learning in the workplace.
Top 100 Tools for Education (EDU100): the digital tools used by educators and students in schools, colleges, universities, adult education etc.

3 – Web courses are increasing in popularity.
Although Coursera is still the most popular web course platform, there are, in fact, now 12 web course platforms on the list. New additions this year include Udacity and Highbrow (the latter provides daily micro-lessons). It is clear that people like these platforms because they can chose what they want to study as well as how they want to study, ie. they can dip in and out if they want to and no-one is going to tell them off – which is unlike most corporate online courses which have a prescribed path through them and their use is heavily monitored.

5 – Learning at work is becoming personal and continuous.
The most significant feature of the list this year is the huge leap up the list that Degreed has made – up 86 places to 47th place – the biggest increase by any tool this year. Degreed is a lifelong learning platform and provides the opportunity for individuals to own their expertise and development through a continuous learning approach. And, interestingly, Degreed appears both on the PPL100 (at 30) and WPL100 (at 52). This suggests that some organisations are beginning to see the importance of personal, continuous learning at work. Indeed, another platform that underpins this, has also moved up the list significantly this year, too. Anders Pink is a smart curation platform available for both individuals and teams which delivers daily curated resources on specified topics. Non-traditional learning platforms are therefore coming to the forefront, as the next point further shows.

From DSC:
Perhaps some foreshadowing of the presence of a powerful, online-based, next generation learning platform…?

Download the new Metacognition Sheet from retrievalpractice.org

Will #AI — in real-time — be able to present helpful resources in the smart classroom of the future? [Christian]

On 09/26/2018, in 21st century, A/V -- audio/visual, Amazon, Apple, Artificial Intelligence/Agents/LLMs/and Related, assistive technologies, bots, cloud-based computing / apps / other cloud-related, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital learning, education technology, emerging technologies, face-to-face, formal learning, future, future of higher education, game-changing environment, heutagogy, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, learning, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning spaces, lifelong learning, Microsoft, Natural Language Processing (NLP), online learning, platforms, productivity / tips and tricks, smart classrooms, tools, training / L&D, universities, user experience (UX), voice recognition / voice enabled interfaces, web-based collaboration, webinars, by Daniel Christian

From DSC:
Microsoft’s conference room of the future “listens” to the conversations of the team and provides a transcript of the meeting. It also is using “artificial intelligence tools to then act on what meeting participants say. If someone says ‘I’ll follow up with you next week,’ then they’ll get a notification in Microsoft Teams, Microsoft’s Slack competitor, to actually act on that promise.”

This made me wonder about our learning spaces in the future. Will an #AI-based device/cloud-based software app — in real-time — be able to “listen” to the discussion in a classroom and present helpful resources in the smart classroom of the future (i.e., websites, online-based databases, journal articles, and more)?

Will this be a feature of a next generation learning platform as well (i.e., addressing the online-based learning realm)? Will this be a piece of an intelligent tutor or an intelligent system?

Hmmm…time will tell.

Also see this article out at Forbes.com entitled, “There’s Nothing Artificial About How AI Is Changing The Workplace.”

Here is an excerpt:

The New Meeting Scribe: Artificial Intelligence

As I write this, AI has already begun to make video meetings even better. You no longer have to spend time entering codes or clicking buttons to launch a meeting. Instead, with voice-based AI, video conference users can start, join or end a meeting by simply speaking a command (think about how you interact with Alexa).

Voice-to-text transcription, another artificial intelligence feature offered by Otter Voice Meeting Notes (from AISense, a Zoom partner), Voicefox and others, can take notes during video meetings, leaving you and your team free to concentrate on what’s being said or shown. AI-based voice-to-text transcription can identify each speaker in the meeting and save you time by letting you skim the transcript, search and analyze it for certain meeting segments or words, then jump to those mentions in the script. Over 65% of respondents from the Zoom survey said they think AI will save them at least one hour a week of busy work, with many claiming it will save them one to five hours a week.

To higher ed: When the race track is going 180mph, you can’t walk or jog onto the track. [Christian]

On 09/25/2018, in 21st century, 24x7x365 access, accreditation, adult learning, analytics, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), Blockchain, bots, business side of he, career development, change, changing business models, cloud-based computing / apps / other cloud-related, colleges, community colleges, competency-based learning/education, corporate / business world, corporate universities / corporate training, cost of getting a degree, curriculum, dangers of the status quo, Daniel S. Christian, digital learning, disruption, distance education, education reform, education technology, emerging technologies, engineering, entrepreneurship, future, future of higher education, game-changing environment, generational differences, global / globalization, heutagogy, higher education, human-computer interaction (HCI), IBM, ideas, innovation, intelligent systems, internet, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, Mixed Reality (MR), more voice more choice more control, online learning, organizational change, pace of change, personalized/customized learning, platforms, professional development, robotics, science, social learning / networks, society, staying relevant, student-related, surviving, technologies for your home, technology (general), tools, training / L&D, TVs, universities, vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, web-based collaboration, XR - extended reality, by Daniel Christian

From DSC:
When the race track is going 180mph, you can’t walk or jog onto the track. What do I mean by that?

Consider this quote from an article that Jeanne Meister wrote out at Forbes entitled, “The Future of Work: Three New HR Roles in the Age of Artificial Intelligence:”*

This emphasis on learning new skills in the age of AI is reinforced by the most recent report on the future of work from McKinsey which suggests that as many as 375 million workers around the world may need to switch occupational categories and learn new skills because approximately 60% of jobs will have least one-third of their work activities able to be automated.

Go scan the job openings and you will likely see many that have to do with technology, and increasingly, with emerging technologies such as artificial intelligence, deep learning, machine learning, virtual reality, augmented reality, mixed reality, big data, cloud-based services, robotics, automation, bots, algorithm development, blockchain, and more.

From Robert Half’s 2019 Technology Salary Guide

How many of us have those kinds of skills? Did we get that training in the community colleges, colleges, and universities that we went to? Highly unlikely — even if you graduated from one of those institutions only 5-10 years ago. And many of those institutions are often moving at the pace of a nice leisurely walk, with some moving at a jog, even fewer are sprinting. But all of them are now being asked to enter a race track that’s moving at 180mph. Higher ed — and society at large — are not used to moving at this pace.

This is why I think that higher education and its regional accrediting organizations are going to either need to up their game hugely — and go through a paradigm shift in the required thinking/programming/curricula/level of responsiveness — or watch while alternatives to institutions of traditional higher education increasingly attract their learners away from them.

This is also, why I think we’ll see an online-based, next generation learning platform take place. It will be much more nimble — able to offer up-to-the minute, in-demand skills and competencies.

The below graphic is from:
Jobs lost, jobs gained: What the future of work will mean for jobs, skills, and wages

* Three New HR Roles To Create Compelling Employee Experiences
These new HR roles include:

IBM: Vice President, Data, AI & Offering Strategy, HR
Kraft Heinz Senior Vice President Global HR, Performance and IT
SunTrust Senior Vice President Employee Wellbeing & Benefits

What do these three roles have in common? All have been created in the last three years and acknowledge the growing importance of a company’s commitment to create a compelling employee experience by using data, research, and predictive analytics to better serve the needs of employees. In each case, the employee assuming the new role also brought a new set of skills and capabilities into HR. And importantly, the new roles created in HR address a common vision: create a compelling employee experience that mirrors a company’s customer experience.

An excerpt from McKinsey Global Institute | Notes from the Frontier | Modeling the Impact of AI on the World Economy

Workers.
A widening gap may also unfold at the level of individual workers. Demand for jobs could shift away from repetitive tasks toward those that are socially and cognitively driven and others that involve activities that are hard to automate and require more digital skills.12 Job profiles characterized by repetitive tasks and activities that require low digital skills may experience the largest decline as a share of total employment, from some 40 percent to near 30 percent by 2030. The largest gain in share may be in nonrepetitive activities and those that require high digital skills, rising from some 40 percent to more than 50 percent. These shifts in employment would have an impact on wages. We simulate that around 13 percent of the total wage bill could shift to categories requiring nonrepetitive and high digital skills, where incomes could rise, while workers in the repetitive and low digital skills categories may potentially experience stagnation or even a cut in their wages. The share of the total wage bill of the latter group could decline from 33 to 20 percent.13 Direct consequences of this widening gap in employment and wages would be an intensifying war for people, particularly those skilled in developing and utilizing AI tools, and structural excess supply for a still relatively high portion of people lacking the digital and cognitive skills necessary to work with machines.

Aligning the business model of college with student needs: How WGU is disrupting higher education [Dunagan]

On 09/15/2018, in 21st century, 24x7x365 access, adjunct faculty, adult learning, business side of he, changing business models, cloud-based computing / apps / other cloud-related, colleges, community colleges, competency-based learning/education, cost of getting a degree, digital learning, disruption, education, education technology, elearning, faculty/staff, higher education, learning, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, more voice more choice more control, online learning, society, staying relevant, student-related, teaching online, tools, United States, universities, using teams, vision/possibilities, by Daniel Christian

Aligning the business model of college with student needs: How WGU is disrupting higher education — from christenseninstitute.org by Alana Dunagan

Excerpt:

Since its inception, Western Governors University (WGU) has aimed to serve learners otherwise shut out of the traditional system. Now, the groundbreaking institution has both graduated 100,000 students and has over 100,000 students currently enrolled. These milestones demonstrate WGU’s ability to scale its high-quality, low-cost model, signaling a momentous shift in the higher education landscape.

In the mid-1990s, governors of 19 states across the western United States were concerned about bringing accessible college education to rural populations, especially working adults.These governors, led by Utah Governor Mike Leavitt, decided to explore building a new university to address the challenge. As the memorandum of understanding between those governors that officially marked the founding of WGU stated, “The strength and well-being of our states and the nation depend increasingly on a strong higher education system that helps individuals adapt to our rapidly changing economy and society. States must look to telecommunications and information technologies to provide greater access and choice to a population that increasingly must have affordable education and training opportunities and the certification of competency throughout their lives.”

Now in its third decade, WGU has students in every U.S. state and has over 100,000 enrolled students—a 230% increase since 2011.

Excerpts from their paper:

The potential of competency-based education
Competency-based education is an approach to learning that allows students to determine the pace of their learning and move ahead once they demonstrate mastery in a concept. As described by Clayton Christensen and Michelle Weise:

Competency-based programs have no time-based unit. Learning is fixed, and time is variable; pacing is flexible. Students cannot move on until they have demonstrated proficiency and mastery of each competency but are encouraged to try as many times as necessary to demonstrate their proficiency. Although skeptics may question the “rigor” behind an experience that allows students to keep trying until they have mastered a competency, this model is actually far more rigorous than the traditional model, as students are not able to flunk or get away with a merely average understanding of the material; they must demonstrate mastery—and therefore dedicated work toward gaining mastery—in any competency.

Competency-based education first took hold in the K-12 education system, but it is also growing in higher education. As of fall 2015, roughly 600 institutions were using or exploring competency-based programs in higher education.13 However, only a handful of institutions are using competency-based education exclusively and have designed their business models around it.

…

WGU offers programs across four industry areas: education, business, information technology, and healthcare. All of these programs are offered online; unlike most higher education institutions, WGU has no physical campus. Instead, it has invested heavily in a technology platform that allows it to deliver curriculum asynchronously, to wherever students are. In addition to its online platform, another unique aspect of WGU’s resources is its approach to faculty. In traditional institutions, faculty are responsible for academic research, course development, teaching, assessment, and advising students. Alternatively, WGU’s model unbundles the faculty role into component parts, with specialists in each role.

Courses in VR and AR will now be available thanks to Amazon Sumerian partnership [Rebecca Hills-Duty]

On 09/12/2018, in Amazon, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), Australia, collaboration, future of higher education, game-changing environment, higher education, ideas, innovation, learning, learning ecosystem, lifelong learning, platforms, teaching online, vendors, Virtual Reality (VR) / worlds / learning, XR - extended reality, by Daniel Christian

Courses in VR and AR will now be available thanks to Amazon Sumerian partnership — from vrfocus.com by Rebecca Hills-Duty
The Royal Melbourne Institute of Technology (RMIT) have announced a partnership with Amazon Web Services.

Excerpt:

Last year Amazon announced a new feature for its Amazon Web Services called Amazon Sumerian, a platform that would allow anyone to create full-featured virtual reality experiences. The Royal Melbourne Institute of Technology (RMIT) have now announced that it will be offering short courses in artificial intelligence (AI), augmented reality (AR) and VR thanks to a partnership with Amazon Web Services.

The new partnership between RMIT and Amazon Web Services was announced at the AWS Public Sector Summit and Canberra, Australia on Wednesday. The new courses will be using the Amazon Sumerian platform.

The newly launched courses includes Developing AI Strategy, Developing AR and VR Strategy and Developing AR and VR Applications. All of these have been adapted from the AWS Educate program, which was created to react to the changing nature of the workplace, and how immersive technology is increasingly relevant.

My team’s mission is to build a community of lifelong learners, successfully navigating the world of work … yes, sometimes your degree is the right solution education wise for a person, but throughout our lives, certainly I know in my digital career, constantly we need to be updating our skills and understand the new, emerging technology and talk with experts.”

Is higher ed shooting itself in the foot? [Christian]

On 08/22/2018, in 21st century, adult learning, business, business side of he, career development, change, changing business models, colleges, community colleges, cost of getting a degree, credentialing, dangers of the status quo, Daniel S. Christian, digital learning, disruption, education technology, elearning, emerging technologies, face-to-face, formal learning, future, future of higher education, game-changing environment, generational differences, Google, heutagogy, higher education, ideas, informal learning, learning, learning ecosystem, Learning from the Living [Class] Room, liberal arts, lifelong learning, MOOCs -- Massive Open Online Courses, more voice more choice more control, new business models, online learning, pace of change, platforms, real-world assignments, society, staying relevant, strategy, student-related, surviving, training / L&D, trends, universities, workplace, youth, by Daniel Christian

15 more companies that no longer require a degree — apply now — from glassdoor.com

Excerpt:

With college tuition soaring nationwide, many Americans don’t have the time or money to earn a college degree. However, that doesn’t mean your job prospects are diminished. Increasingly, there are many companies offering well-paying jobs to those with non-traditional education or a high-school diploma.
…
Google and Ernest & Young are just two of the champion companies who realize that book smarts don’t necessarily equal strong work ethic, grit and talent. Whether you have your GED and are looking for a new opportunity or charting your own path beyond the traditional four-year college route, here are 15 companies that have said they do not require a college diploma for some of their top jobs.

From DSC:
Several years ago when gas prices were sky high, I couldn’t help but think that some industries — though they were able to grab some significant profits in the short term — were actually shooting themselves in the foot for the longer term. Sure enough, as time went by, people started looking for less expensive alternatives. For example, they started buying more hybrid vehicles, more electric cars, and the sales of smaller cars and lighter trucks increased. The average fuel economy of vehicles went up (example). The goal was to reduce or outright eliminate the number of trips to the gas station that people were required to make.

These days…I wonder if the same kind of thing is happening — or about to happen — with traditional institutions of higher education*? Are we shooting ourselves in the foot?

Traditional institutions of higher education better find ways to adapt, and to change their game (so to speak), before the alternatives to those organizations gain some major steam. There is danger in the status quo. Count on it. The saying, “Adapt or die” has now come to apply to higher ed as well.

Faculty, staff, and administrators within higher ed are beginning to experience what the corporate world has been experiencing for decades.

Faculty can’t just teach what they want to teach. They can’t just develop courses that they are interested in. The demand for courses that aren’t attractive career-wise will likely continue to decrease. Sure, it can be argued that many of those same courses — especially from the liberal arts colleges — are still valuable…and I would agree with some of those arguments. But the burden of proof continues to be shifted to the shoulders of those proposing such curricula.

Also, the costs of obtaining a degree needs to come down or:

The gorillas of debt on peoples’ backs will become a negative word of mouth that will be hard to compete against or adequately address as time goes by
The angst towards higher ed will continue to build
People will bolt for those promising alternatives to traditional higher ed where the graduates (badge earners, or whatever they’re going to be called) of those programs are hired and shown to be effective employees
I hope that this isn’t the case and that it’s not too late to change…but history will likely show that higher ed shot itself in the foot. The warning signs were all over the place.

The current trends are paving the way for a next generation learning platform that will serve someone from cradle to grave.

* I realize that many in higher ed would immediately dispute that their organizations are out to grab short term profits, that they don’t operate like a business, that they don’t operate under the same motivations as the corporate world, etc. And I can see some of these folks’ points, no doubt. I may even agree with some of the folks who represent organizations who freely share information with other organizations and have motivations other than making tons of money. But for those folks who staunchly hold to the belief that higher ed isn’t a business at all — well, for me, that’s taking things way too far. I do not agree with that perspective at all. One has to have their eyes (and minds) closed to cling to that perspective anymore. Just don’t ask those folks to tell you how much their presidents make (along with other higher-level members of their administrations), the salaries of the top football coaches, or how many millions of dollars many universities’ receive for their television contracts and/or their ticket sales, or how much revenue research universities bring in from patents and so on and so forth.

Addendum on 8/24, per University Ventures e-newsletter

2. Facebook Goes Back to College (emphasis DSC)
TechCrunch report on how digital giants are buying into Last-Mile Training by partnering with Pathstream to deliver necessary digital skills to community college students.
Most good first jobs specifically require one or more technologies like Facebook or Unity — technologies that colleges and universities aren’t teaching. If Pathstream is able to realize its vision of integrating industry-relevant software training into degree programs in a big way, colleges and universities have a shot at maintaining their stranglehold as the sole pathway to successful careers. If Pathstream’s impact is more limited, watch for millions of students to sidestep traditional colleges, and enroll in emerging faster and cheaper alternative pathways to good first jobs — alternative pathways that will almost certainly integrate the kind of last-mile training being pioneered by Pathstream.

America’s colleges and universities could learn a thing or two from Leo, because they continue to resist teaching students the practical things they’ll need to know as soon as they graduate; for instance, to get jobs that will allow them to make student loan payments. Digital skills head this list, specifically experience with the high-powered software they’ll be required to use every day in entry-level positions.

But talk to a college president or provost about the importance of Marketo, HubSpot, Pardot, Tableau, Adobe and Autodesk for their graduates, and they’re at a loss for how to integrate last-mile training into their degree programs in order prepare students to work on these essential software platforms.

Enter a new company, Pathstream, which just announced a partnership with tech leader Unity and previously partnered with Facebook. Pathstream supports the delivery of career-critical software skill training in VR/AR and digital marketing at colleges and universities.

Addendum on 8/24, per University Ventures e-newsletter
3. Faster + Cheaper Alternatives to College
Inside Higher Education Q&A on upcoming book A New U: Faster + Cheaper Alternatives to College.
Last-mile training is the inevitable by-product of two crises, one generally understood, the other less so. The crisis everyone understands is affordability and unsustainable levels of student loan debt. The other crisis is employability. Nearly half of all college graduates are underemployed in their first job. And we know that underemployment is pernicious and lasting. According to the recent report from Strada’s Institute for the Future of Work, two-thirds of underemployed graduates remain underemployed five years later, and half remain underemployed a decade later. So today’s students no longer buy that tired college line that “we prepare you for your fifth job, not your first job.” They know that if they don’t get a good first job, they’re probably not going to get a good fifth job. As a result, today’s students are laser-focused on getting a good first job in a growing sector of the economy.

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