curriculum

Creativity Required: How a Tesla Partnership is Setting the Stage for Program and Credential Innovation — from evolllution.com by Lenore Rodicio
By building strong employer partnerships and bringing a creative approach to program design and credentialing, it’s possible for colleges to create opportunities for learners to build the skills they need to work while progressing toward a degree.

Excerpt:

So for this particular program, a new state-of-the-art facility is being specifically constructed at MDC’s west campus from the ground up. Tesla provides the vehicles, equipment, instructors, tools and curriculum for hands-on learning.

Here’s another item that deals with creativity:

Digital Transformation: A Focus on Creativity, Not Tools — from campustechnology.com by Mary Grush and Ellen Wagner
Excerpt:
It is easier to talk about [the technology tools] than it is to talk about the things people need to do to adapt to working with the new tools. And what’s odd is the lack of anticipation about the potential of digital transformation to open up true innovation and creativity. That’s the real prize, and it seems like this point is often missed.
…
Of course, in my role as a researcher at the Mixed Emerging Technology Integration Lab (the METIL lab) at the University of Central Florida’s Institute for Simulation and Training, I’ve begun work on three new projects that incorporate simulation, mobile, and artificial intelligence. We don’t just learn about the tools; we study their impact and how they can extend creativity.For another example of related research, take a look at ShapingEdu and the Humersive Learning Project at Arizona State University. There, the researchers look specifically at immersive learning and how to humanize it while fostering innovation.

Welcome to the future! The future of work is… — from gettingsmart.com

Excerpt:

The future of work is here, and with it, new challenges — so what does this mean for teaching and learning? It means more contribution and young people learning how to make a difference. In our exploration of the #futureofwork, sponsored by eduInnovation and powered by Getting Smart, we dive into what’s happening, what’s coming and how schools might prepare.

DC: Can you hear/feel the culture clash here?

On 07/31/2019, in career development, change, colleges, cost of getting a degree, curriculum, dangers of the status quo, Daniel S. Christian, higher education, learning, learning ecosystem, Learning from the Living [Class] Room, New "Amazon.com" of Higher Education, society, staying relevant, student-related, surviving, United States, universities, by Daniel Christian

To End Student Debt, Tie Tuition to Post-Graduation Salaries — from wired.com by Austen Allred
Opinion: If colleges only get paid when their graduates do, they’re incentivized to provide a service that actually gets students hired.

Excerpt:

But unlike student loans, if regulated responsibly, ISAs power a risk-averse path to higher education. Responsible ISAs—which typically require zero upfront cost, repayment only if and when the graduate lands a job earning a sizable income, and an ethical repayment cap, such as $30,000 total—eliminate cost as a barrier to entry. But it’s the way that ISAs align the incentives of school and student that makes the model paradigm-changing.
…
The financial tool serves a diversity of students. People who can’t afford the cost of a traditional on-campus degree, or who don’t have access to federal- or state-based aid programs, can pursue a postsecondary education at no upfront cost. Additionally, those who are transitioning back into the workforce or changing careers can retrain in in-demand fields.

There’s no one-size-fits-all path to higher education. But Income Share Agreements prove that shouldering enormous risk doesn’t have to be a prerequisite for students. ISAs imagine a future in which graduates aren’t burdened by growing debt, and where opportunity is as evenly distributed as talent.

From DSC:
Can you hear and feel the culture clash that’s embedded here? I can.

On one side of the coin, there exists many faculty members, deans, provosts, and college/university presidents as well as other members of administration who maintain a more liberal arts perspective — that college is meant for learning and preparing students for many jobs…not just their first jobs.

On the other side of the coin are students who are paying ever increasing amounts of money to obtain their degrees. They want good jobs, and aren’t necessarily at school for the noble cause of learning. Many of these folks have different perspectives about what higher education is for…what it’s purpose is meant to be.

As the price of higher ed has increased, the former ways of viewing what a college education is supposed to be about — i.e., learning and a broad-based liberal arts type of education — are being increasingly shoved out the door. This is now by necessity I might add.

Along these lines, I can hear one of my former colleagues — an academic dean from years ago –adamantly insisting that higher education is not a business and that our students are not customers.

Since that time, it’s become very clear to me that higher education is most definitely a business. Not focusing on the multi-million dollar TV contracts or what many football coaches get paid…or not focusing on the revenue that research universities make on patents…let’s just focus on charging someone the price of a nice home for a 4-year degree. That alone makes it a business in my mind. The rising price of education has created customers.

(By the way, this development occurred on the watch of many of those same faculty members, provosts, presidents and other members of administration, etc. that claim a more noble goal of higher education.)

Students today can’t afford to attend school the way boomers did. As the article states:

When I went to college, nobody talked about student debt. Nobody talked about trade-offs. Everybody lived by one credo: Go to the best school you can, study the thing that you love, and it will work out on the other side. Frankly, for Boomers, that’s what happened. If you got a degree, you could expect to land a decent job with a decent salary. Even if you did accrue debt during college, payments were often manageable and short-lived.

That is certainly not the case anymore, as the article points out:

Bottom line:

Change has to occur. It can’t keep going on like this. We are at the precipice of massive change. It has to change or we are in massive trouble as a nation. The ramifications of this kind of student debt last for decades!

This is why a next generation, online-based learning platform will be the answer for many people. Surely such a delivery method and learning experience will not work for everyone — as the face-to-face (F2f) experience is still excellent and preferred by many people. But the F2F experience is arguably becoming the Maserati….and increasingly out of reach…and it’s burying people in debt for decades to come.

Reflections on “Choice -> Ownership -> Empowerment -> Deeper Learning” [Juliani]

On 06/21/2019, in 21st century, attention, curriculum, dangers of the status quo, Daniel S. Christian, drama/theater, education, education reform, engagement / engaging students, K-12 related, more voice more choice more control, pedagogy, society, teachers, teaching & learning, youth, by Daniel Christian

Choice -> Ownership -> Empowerment -> Deeper Learning — from AJ Juliani

Excerpt (emphasis DSC):

Students continue to fall into the same trap year after year with traditional schooling. They rarely have a chance to choose their learning path in school, and routinely treat school like a “job” instead of the most valuable learning experience they will ever have…

By the time students get to high school, over 83% are stressed out, [and] 67% say they are bored half the time, and many learn to “play the game of school” worrying about what will happen to them if they do not get a particular grade and get into a specific college.

What we end up with are students who are never given a chance to explore their own interests in school, who end up confused about what they want to do with their future because they continue to march down a path that has been chosen for them for 12 years. Many of these students end up getting jobs in fields they think are “safe” or “practical” but don’t have a personal connection or interest to the work they are doing.

Choice in what content our students consume, what activities they take on in and out of school, what assessments they take, and choice in their purpose for learning.

Choice drives student ownership of their learning, which kicks engagement into high-gear, and ultimately leads to learning that is intrinsic and powerful and deep.

From DSC:
Our son has become a game-player. He knows just what he needs to get that A. No more, nor less. He doesn’t care about learning. And he is tired of getting information crammed down his throat. Information he doesn’t care about…at all. Since 10th grade, he has become disengaged.

Next year (for his senior year of H.S.), he is heading to studying what he wants to study — acting. Although it will be very difficult, I think he will blossom. He will become fully engaged…because he’s doing what he chooses to do.

2019 Horizon Report Higher Education Edition

On 04/25/2019, in 21st century, A/V -- audio/visual, active learning, adjunct faculty, analytics, Artificial Intelligence/Agents/LLMs/and Related, blended learning, Blockchain, change, changing business models, colleges, community colleges, credentialing, curriculum, data related items, digital learning, distance education, education technology, educational games / serious games, emerging technologies, face-to-face, faculty, formal learning, future of higher education, higher education, hybrid learning, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, internet, law schools, learning, learning agents, learning ecosystem, learning spaces, Mixed Reality (MR), mobile learning, new business models, online learning, personalized/customized learning, student-related, teaching & learning, teaching online, technologies for your home, technology (general), tools, trends, United States, user experience (UX), XR - extended reality, by Daniel Christian

The finalized 2019 Horizon Report Higher Education Edition (from library.educause.edu) was just released on 4/23/19.

Excerpt:

Key Trends Accelerating Technology Adoption in Higher Education:

Short-Term—Driving technology adoption in higher education for the next one to two years

Redesigning Learning Spaces
Blended Learning Designs

Mid-Term—Driving technology adoption in higher education for the next three to five years

Advancing Cultures of Innovation
Growing Focus on Measuring Learning

Long-Term—Driving technology adoption in higher education for five or more years

Rethinking How Institutions Work
Modularized and Disaggregated Degrees

Bad bargain: Why we still ask kids to factor polynomials and how we fix it — from gettingsmart.com by Tom Vander Ark

Excerpt:

OK, we cut a bad deal 20 years ago and it’s time to fix it.

Kids are still factoring polynomials and that’s just dumb. Requiring every student to pass a course on regurgitated symbol manipulation (Algebra 2) is torturous for many students and why some dropout. It’s an inequitable barrier to college and careers.

“The tragedy of high school math,” said venture investor and education advocate Ted Dintersmith (who has a Ph.D. in math modeling), “is that less than 20% of adults ever use algebra. No adult in America still does integrals and derivatives by hand – the calculus that blocks so many from career paths. It remains in the curriculum because it’s easy to test, not important to learn.”

Math educator Dan Meyer told the We’re Doing It All Wrong Podcast that algebra 2 is “arcane gibberish…not useful knowledge”…
…
Now, rather than the plug and crank of symbol manipulation, we should be teaching computational thinking. As mathematician Conrad Wolfram said, we should be teaching math as if computers existed.

Rather than a separate symbol language, Wolfram argues, math should be taught as computational thinking and integrated across the curriculum. That starts with problem finding–spotting big tough problems worth working on. Next comes understanding the problems and valuables associated–that’s algebraic reasoning. But rather than focusing on computation (including factoring those nasty polynomials), students should be building data sets and using computers to do what they’re good at–calculations.
…
To fix the problem, states that require Algebra 2 should swap it out for a course in coding and computational thinking. Colleges and college entrance exams should drop Algebra 2 requirements. They should start by asking young people about their contributions to solving big problems.

From DSC:
This posting reminded me that, just the other day, I took the picture below…it’s outside a local mall. The annotated picture below gives you some of my thoughts on this ridiculous setup.

Are some of our educational systems setup like this stop sign outside an abandoned, old store that's no longer being used?!

Five key trends for professional and continuing education leaders in the next five years [Schroeder]

On 03/12/2019, in 21st century, adult learning, Augmented Reality (AR), Blockchain, career development, change, changing business models, corporate universities / corporate training, curriculum, digital learning, emerging technologies, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, MOOCs -- Massive Open Online Courses, New "Amazon.com" of Higher Education, online learning, pace of change, strategy, trends, United States, universities, Virtual Reality (VR) / worlds / learning, vision/possibilities, XR - extended reality, by Daniel Christian

Five key trends for professional and continuing education leaders in the next five years — from evolllution.com by Ray Schroeder

Excerpts:

Higher education is on the cusp of major changes. Enrollments are on the decline—both online and on campus—and the trend is expected to accelerate.[1] Graduates are laboring under substantial college loan debts totaling more than $1.5 trillion.[2] Employers are demanding that applicants possess soft and hard skills that many college graduates do not hold.[3] At the same time new and emerging technologies are changing the way credentials are shared and work is done.

It is in this context that continuing, professional and online programs have been imported from the periphery to the center of traditional universities. Students and employers alike have made clear that their top priority is relevance to the rapidly changing workplace. Artificial intelligence, blockchain, augmented/virtual reality and other technologies are driving the changes. Professional and Continuing Education (PCE) has long been the leader in providing relevant courses, certificates and degrees that connect students with the needs of employers.

…the Online Master’s Science in Computer Science degree at Georgia Tech is now the largest computer science program in the world. And the degree costs less than $9,000.

Also see:

Interview with Hunt Lambert – What is the 60-year curriculum?
Colleges and universities used to be primarily responsible for a four-year learning experience. We now need to envision a 60-year curriculum, whereby educational institutions partner with learners at all stages of their professional career, providing skills and knowledge as needed.

From DSC: If you think teaching and learning is easy, I dare you to try these 3 things!

On 02/04/2019, in accessibility / UDL, assessment, curriculum, Daniel S. Christian, K-12 related, learning, learning preferences, neurodivergent/special needs, society, student-related, teachers, teaching & learning, Uncategorized, youth, by Daniel Christian

From DSC:
For anyone out there who thinks that teaching and learning is easy and who agrees with the uninformed saying that goes “Those who can’t do…teach”…might I recommend a few potential to-do’s for you to try out…?

Try teaching 30-35 students yourself for at least 4-6 weeks about a topic that you just found out that you’ll be teaching and one that you don’t know much about. (And see if you enjoy the process that some teachers sometimes have to go through…putting down the tracks right in front of the trains that are rapidly moving down the tracks right behind them.) Also, you must have at least one student in your class who requires an Individualized Education Program (IEP) as well as 4-5 students who constantly cause trouble and who don’t want to be in school at all.
.
Identify each student’s strengths, weaknesses, and learning preferences — and their Zone of Proximal Development — then customize the learning that each of your 30-35 learners receives (with the goal of keeping each student moving forward at their most appropriate pace, while staying encouraged and yet appropriately challenged).
.
Attend Individualized Education Program (IEP) meetings and work with other IEP team members to significantly contribute to the appropriate student’s (or students’) teaching and learning environment(s). For a real challenge, at least one of those students will be someone who is struggling, but is very much hanging in there — someone who is “right in the middle of the pack,” so to speak. (My guess is that if you did this, you would never think of teaching, nor teachers, nor other specialists in quite the same way again. My guess is that you would develop a whole new appreciation for how complex teaching and learning really is.)

Regarding that last item about at least one of your students requiring an IEP, here are some questions that might come up:

What specialized services are needed this year?
What do the teachers need to know about this student’s cognitive processing/executive functioning?
How has the student been doing with the specialized services and teaching and learning strategies that have been attempted since the last IEP meeting?
If their scores are going down, how are you going to address that issue (especially given limited resources)?
How is the student’s motivation level doing? Is attending school still a positive experience? Or are things starting to become negative and/or downright painful for the student? Are they starting to get bummed out about having to come to school?
How are they relating with and collaborating with other students? If poorly, how are you going to address that issue? How are you going to handle group-related projects (especially after reading all of those articles that assert which skills the workplace values these days)?
What do you do with grades and assessments? Do you treat the student differently and give them higher grades to keep them encouraged? But if you do that, will your school system back you up on that or will someone come down hard on you for doing that? Or, perhaps you will find yourself struggling internally — trying to figure out what grades are really for and wondering if they are helpful in the first place. In fact, you might find yourself wondering if grades aren’t really just a mechanism for ranking and comparing individuals, schools, and even entire school systems (which, as we know, impacts property values)?
What do grades really produce — game players or (lifelong) learners? It won’t surprise you to know that I would argue that the former is what gets “produced.” Grades don’t really produce as many learners as they do game-players (i.e., students who know the minimum amount of work that they need to do and still get that all important A).

So, as you can hopefully see here, learning is messy. It’s rarely black and white…there’s a lot of gray out there and a lot of things to consider. It’s not a one-size fits all. And teaching others well is certainly NOT easy to do!

RELEVANT IDEAS:

While I’m thinking about related ideas here…wouldn’t it be great if EVERY. SINGLE. STUDENT. could have their own IEP and their own TEAM of specialists — people who care about their learning?

What if each student could have their own cloud-based learner profile — a portion of which would be a series of VoiceThreads per student, per period of time (or per mastering a particular topic or area)? Such VoiceThreads could include multimedia-based comments, insights, and recommendations for how the student is doing and how they best learn. Through the years, those teams of people — people who care about that student’s learning — could help that student identify their:

strengths
weaknesses
passions/interests
their optimal learning strategies and preferences
potential careers

The students could periodically review such feedback.

For every single student, we could build a history of feedback, helpful suggestions,
and recommendations via audio, video, text, graphics, etc.

LinkedIn 2019 Talent Trends: Soft Skills, Transparency and Trust — from linkedin.com by Josh Bersin

Excerpts:

This week LinkedIn released its 2019 Global Talent Trends research, a study that summarizes job and hiring data across millions of people, and the results are quite interesting. (5,165 talent and managers responded, a big sample.)

In an era when automation, AI, and technology has become more pervasive, important (and frightening) than ever, the big issue companies face is about people: how we find and develop soft skills, how we create fairness and transparency, and how we make the workplace more flexible, humane, and honest.
…
The most interesting part of this research is a simple fact: in today’s world of software engineering and ever-more technology, it’s soft skills that employers want. 91% of companies cited this as an issue and 80% of companies are struggling to find better soft skills in the market.

What is a “soft skill?” The term goes back twenty years when we had “hard skills” (engineering and science) so we threw everything else into the category of “soft.” In reality soft skills are all the human skills we have in teamwork, leadership, collaboration, communication, creativity, and person to person service. It’s easy to “teach” hard skills, but soft skills must be “learned.”

Also see:

Employers Want ‘Uniquely Human Skills’ — from campustechnology.com by Dian Schaffhauser

Excerpt:

According to 502 hiring managers and 150 HR decision-makers, the top skills they’re hunting for among new hires are:

The ability to listen (74 percent);
Attention to detail and attentiveness (70 percent);
Effective communication (69 percent);
Critical thinking (67 percent);
Strong interpersonal abilities (65 percent); and
Being able to keep learning (65 percent).

Two articles regarding Artificial Intelligence (AI) in the K-12 classroom

On 01/26/2019, in 21st century, Amazon, Apple, Artificial Intelligence/Agents/LLMs/and Related, bots, computer science, curriculum, digital learning, education, education technology, emerging technologies, engagement / engaging students, Google, K-12 related, online learning, teachers, United States, youth, by Daniel Christian

Online curricula helps teachers tackle AI in the classroom — from educationdive.com by Lauren Barack

Dive Brief:

Schools may already use some form of artificial intelligence (AI), but hardly any have curricula designed to teach K-12 students how it works and how to use it, wrote EdSurge. However, organizations such as the International Society for Technology in Education (ISTE) are developing their own sets of lessons that teachers can take to their classrooms.
Members of “AI for K-12” — an initiative co-sponsored by the Association for the Advancement of Artificial Intelligence and the Computer Science Teachers Association — wrote in a paper that an AI curriculum should address five basic ideas:
- Computers use sensors to understand what goes on around them.
- Computers can learn from data.
- With this data, computers can create models for reasoning.
- While computers are smart, it’s hard for them to understand people’s emotions, intentions and natural languages, making interactions less comfortable.
- AI can be a beneficial tool, but it can also harm society.
These kinds of lessons are already at play among groups including the Boys and Girls Club of Western Pennsylvania, which has been using a program from online AI curriculum site ReadyAI. The education company lent its AI-in-a-Box kit, which normally sells for $3,000, to the group so it could teach these concepts.

AI curriculum is coming for K-12 at last. What will it include? — from edsurge.com by Danielle Dreilinger

Excerpt:

Artificial intelligence powers Amazon’s recommendations engine, Google Translate and Siri, for example. But few U.S. elementary and secondary schools teach the subject, maybe because there are so few curricula available for students. Members of the “AI for K-12” work group wrote in a recent Association for the Advancement of Artificial Intelligence white paper that “unlike the general subject of computing, when it comes to AI, there is little guidance for teaching at the K-12 level.”

But that’s starting to change. Among other advances, ISTE and AI4All are developing separate curricula with support from General Motors and Google, respectively, according to the white paper. Lead author Dave Touretzky of Carnegie Mellon has developed his own curriculum, Calypso. It’s part of the “AI-in-a-Box” kit, which is being used by more than a dozen community groups and school systems, including Carter’s class.

Training the workforce of the future [Bauman]

On 01/11/2019, in 21st century, 3D, adjunct faculty, adult learning, Artificial Intelligence/Agents/LLMs/and Related, business, career development, change, cloud-based computing / apps / other cloud-related, colleges, community colleges, content development, aggregation, repositories, corporate / business world, curriculum, dangers of the status quo, data related items, education, education reform, emerging technologies, engineering, faculty, future, future of higher education, game-changing environment, heutagogy, higher education, ideas, internet, law schools, lifelong learning, mathematics, professional development, reinvent, robotics, science, society, staying relevant, STEAM-related, student-related, surviving, technology (general), training / L&D, trends, UK, United States, universities, Virtual Reality (VR) / worlds / learning, wearables, workplace, XR - extended reality, youth, by Daniel Christian

Training the workforce of the future: Education in America will need to adapt to prepare students for the next generation of jobs – including ‘data trash engineer’ and ‘head of machine personality design’ –– from dailymail.co.uk by Valerie Bauman

Excerpts:

Careers that used to safely dodge the high-tech bullet will soon require at least a basic grasp of things like web design, computer programming and robotics – presenting a new challenge for colleges and universities
A projected 85 percent of the jobs that today’s college students will have in 2030 haven’t been invented yet
The coming high-tech changes are expected to touch a wider variety of career paths than ever before
Many experts say American universities aren’t ready for the change because the high-tech skills most workers will need are currently focused just on people specializing in science, technology, engineering and math

.

Cut the curriculum — from willrichardson.com by Will Richardson

Excerpt:

Here’s an idea: A Minimal Viable Curriculum (MVC). That’s what Christian Talbot over at Basecamp is proposing, and I have to say, I love the idea.

He writes: “What if we were to design MVCs: Minimum Viable Curricula centered on just enough content to empower learners to examine questions or pursue challenges with rigor? Then, as learners go deeper into a question or challenge, they update their MVC…which is pretty much how learning happens in the real world.”

The key there to me is that THEY update their MVC. That resonates so deeply; it feels like that’s what I’m doing with my learning each day as I read about and work with school leaders who are thinking deeply about change.

When we pursue questions that matter to us, rigor is baked in.

From DSC:
I love the idea of giving students — as they can handle it — more choice, more control. So anytime around 8th-12th grade, I say we turn much more control over to the students, and let them make more choices on what they want to learn about. We should at least try some experiments along these lines.

As everyone in the workforce is now required to be a lifelong learner, our quality of life goes much higher if we actually enjoy learning. As I think about it, I have often heard an adult (especially middle age and older) say something like, “I hated school, but now, I love to learn.”

Plus, I can easily imagine greater engagement with the materials that students choose for themselves, as well as increased attention spans and higher motivation levels.

Also, here’s a major shout out to Will Richardson, Bruce Dixon, Missy Emler and Lyn Hilt for the work they are doing at ModernLearners.com.

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, New "Amazon.com" of Higher Education, online learning, organizational change, pace of change, personalized/customized learning, platforms, professional development, robotics, science, smart/connected TV, social learning / networks, society, staying relevant, student-related, surviving, technologies for your home, technology (general), tools, training / L&D, 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.

Smart Machines & Human Expertise: Challenges for Higher Education — from er.educause.edu by Diana Oblinger

Excerpts:

What does this mean for higher education? One answer is that AI, robotics, and analytics become disciplines in themselves. They are emerging as majors, minors, areas of emphasis, certificate programs, and courses in many colleges and universities. But smart machines will catalyze even bigger changes in higher education. Consider the implications in three areas: data; the new division of labor; and ethics.

Colleges and universities are challenged to move beyond the use of technology to deliver education. Higher education leaders must consider how AI, big data, analytics, robotics, and wide-scale collaboration might change the substance of education.

Higher education leaders should ask questions such as the following:

What place does data have in our courses?
Do students have the appropriate mix of mathematics, statistics, and coding to understand how data is manipulated and how algorithms work?
Should students be required to become “data literate” (i.e., able to effectively use and critically evaluate data and its sources)?

…

Higher education leaders should ask questions such as the following:

How might problem-solving and discovery change with AI?
How do we optimize the division of labor and best allocate tasks between humans and machines?
What role do collaborative platforms and collective intelligence have in how we develop and deploy expertise?

…
Higher education leaders should ask questions such as the following:

Even though something is possible, does that mean it is morally responsible?
How do we achieve a balance between technological possibilities and policies that enable—or stifle—their use?
An algorithm may represent a “trade secret,” but it might also reinforce dangerous assumptions or result in unconscious bias. What kind of transparency should we strive for in the use of algorithms?

Experiences in self-determined learning — a free download/PDF file from uni-oldenburg.de by Lisa Blaschke, Chris Kenyon, & Stewart Hase (Eds.)

Excerpts (emphasis DSC):

An Introduction to Self-Determined Learning (Heutagogy)

Summary
There is a good deal that is provocative in the theory and principles surrounding self-determined learning or heutagogy. So, it seems appropriate to start off with a, hopefully, eyebrow-raising observation. One of the key ideas underpinning self-determined learning is that learning, and educational and training are quite different things. Humans are born to learn and are very good at it. Learning is a natural capability and it occurs across the human lifespan, from birth to last breath. In contrast, educational and training systems are concerned with the production of useful citizens, who can contribute to the collective economic good. Education and training is largely a conservative enterprise that is highly controlled, is product focused, where change is slow, and the status quo is revered. Learning, however, is a dynamic process intrinsic to the learner, uncontrolled except by the learner’s mental processes. Self-determined learning is concerned with understanding how people learn best and how the methods derived from this understanding can be applied to educational systems. This chapter provides a relatively brief introduction of the origins, the key principles, and the practice of self-determined learning. It also provides a number of resources to enable the interested reader to take learning about the approach further.

Contributors to this book come from around the world: they are everyday practitioners of self-determined learning who have embraced the approach. In doing so, they have chosen the path less taken and set off on a journey of exploration and discovery – a new frontier – as they implement heutagogy in their homes, schools, and workplaces. Each chapter was written with the intent of sharing the experiences of practical applications of heutagogy, while also encouraging those just starting out on the journey in using self-determined learning. The authors in this book are your guides as you move forward and share with you the lessons they have learned along the way. These shared experiences are meant to be read – or dabbled in – in any way that you want to read them. There is no fixed recipe or procedure for tackling the book contents.

…

At the heart of self-determined learning is that the learner is at the centre of the learning process. Learning is intrinsic to the learner, and the educator is but an agent, as are many of the resources so freely available these days. It is now so easy to access knowledge and skills (competencies), and in informal settings we do this all the time, and we do it well. Learning is complex and non-linear, despite what the curricula might try to dictate. In addition, every brain is different as a result of its experience (as brain research tells us). Each brain will also change as learning takes place with new hypotheses, new needs, and new questions forming, as new neuronal connections are created.

Heutagogy also doesn’t have anything directly to do with self-determination theory (SDT). SDT is a theory of motivation related to acting in healthy and effective ways (Ryan & Deci, 2000). However, heutagogy is related to the philosophical notion of self-determinism and shares a common belief in the role of human agency in behavior.

The idea of human agency is critical to self-determined learning, where learning is learner-directed. Human agency is the notion that humans have the capacity to make choices and decisions, and then act on them in the real world. However, how experiences and learning bring people to make the choices and decisions that they do make, and what actions they may then take is a very complex matter. What we are concerned with in self-determined learning is that people have agency with respect to how, what, and when they learn. It is something that is intrinsic to each individual person. Learning occurs in the learner’s brain, as the result of his or her past and present experiences.

The notion of placing the learner at the centre of the learning experience is a key principle of self-determined learning. This principle is the opposite of teacher-centric or, perhaps more accurately curriculum-centric, approaches to learning. This is not to say that the curriculum is not important, just that it needs to be geared to the learner – flexible, adaptable, and be a living document that is open to change.

Teacher-centric learning is an artifact of the industrial revolution when an education system was designed to meet the needs of the factories (Ackoff & Greenberg, 2008) and to “make the industrial wheel go around” (Hase & Kenyon, 2013b). It is time for a change to learner-centred learning and the time is right with easy access to knowledge and skills through the Internet, high-speed communication and ‘devices’. Education can now focus on more complex cognitive activities geared to the needs of the 21st century learner, rather than have its main focus on competence (Blaschke & Hase, 2014; Hase & Kenyon, 2013a).

Learning Ecosystems

Five key trends for professional and continuing education leaders in the next five years [Schroeder]

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