professional development

“Preparing for the Workforce of the Future” + “The Rise of the On-Demand Economy”+ other workplace-related items

On 04/02/2015, in 21st century, career development, future, professional development, trends, workplace, by Daniel Christian

From Trend Hunting to World Building: Preparing for the Workforce of the Future — from linkedin.com by Yvette Montero Salvatico

Excerpt:

In this increasingly complex landscape, nothing exists in a vacuum. Isolated trends can be your worst enemy because they tie you to what is taking place right now, leaving you blind to what’s ahead. For this reason, reports and annual “top 10” lists of trends are of limited usefulness.

Instead, we must study the intersection of trends, making sense of the patterns formed from these unique collisions; explore the shifting values that act like fault lines undergirding the trends; and envision the new narratives which these trends, patterns, and values will create.

These world-building narratives act as maps, allowing us to test our current strategies and discover new opportunities, while avoiding threats. By painting immersive pictures of possible future worlds, we can be prepared no matter what future unfolds.

…

We want to pursue our passions and desire a calling rather than a career.

The Rise of the On-Demand Economy — from blogs.wsj.com by Irving Wladawsky-Berger

Excerpt:

This corporate capitalism era, characterized by hierarchically organized institutions, reached its height in the U.S. in the period following World War II, when the country craved a sense of stability following the pain and chaos of the Great Depression and the war years. But those days are long gone. In the more recent past, these relatively slow moving organizations were not able to keep up with fast changing technologies and markets, nor could individuals assume that being loyal to a company would translate into a secure job with good benefits.

In its stead, we are seeing the rise of what The Economist called the On-Demand Economy in a recent article. “Ever since the 1970s… Manufacturing jobs have been automated out of existence or outsourced abroad, while big companies have abandoned lifetime employment. Some 53m American workers already work as freelances.”

But now the sharing economy is evolving into something new. Ubiquitous communications, freelance work forces and low transaction costs are giving rise to the on-demand company, which aims to apply the principles of Uber or Airbnb to a much broader range of markets.

How HR can prepare for the future of work — from shrm.org by Roy Maurer

Excerpt:

Demographic Shifts Boost Global Migration

Labor Becomes Automated

The Skills Gap Persists

Employees Can Work from Anywhere

The Freelance Workforce Grows

Amazon Home Services — reminds me of the Economist’s article, “Workers on tap”

The future of documentation? Heads up to Technical Communicators, Trainers, User Experience Designers, & similar positions

On 03/26/2015, in 21st century, 3D, A/V -- audio/visual, Augmented Reality (AR), corporate universities / corporate training, digital learning, emerging technologies, professional development, training / L&D, user experience (UX), workplace, by Daniel Christian

Madcap and Metaio team up for augmented reality documentation — from blog.metaio.com by Jack Dashwood

Excerpt:

Documentation is a huge industry and with humanity’s continuing pursuit of technology, it’s not slowing down. Instead, documentation methods are growing and diversifying into mediums beyond the traditional paper manual.

…

Madcap’s newest update, Madcap Flare 11, has taken documentation even further. By leveraging Metaio’s Augmented Reality technology, Flare is now able to export documentation with Augmented Reality content. In a world of increasingly complex and abstract concepts, Augmented Reality provides much needed simplicity, with intuitive 3D models, live video, and dynamic linking between static printed content and digital information.

A video of Audi’s Augmented Reality Manual, back from August 2013:

From DSC:
Also…what affordances might this present for educators, instructional designers, and the like?

How Google and Coursera may upend the traditional college degree — from brookings.edu by Stuart Butler

Excerpt:

Recently, the online education firm Coursera announced a new arrangement with Google, Instagram and other tech firms to launch what some are calling “microdegrees” – a set of online courses plus a hands-on capstone project designed in conjunction with top universities and leading high-tech firms. Coursera is one of America’s leading MOOC developers (Massive Open Online Courses).
…
Why does this announcement suggest such a shakeup is likely? Several reasons. Here are just four:

MOOCs are moving from novel sideshow to serious competition.
The partnership between online education and employers is likely a game-changer.
Accreditation as a restriction on competition is eroding.
Microdegrees are likely the pathway to customized degree programs.

Also see:

Top companies work with university partners to help create capstone projects with real world applications — from blog.coursera.org

Excerpt:

Experts at top companies like Google and Instagram have joined Coursera to help develop the final projects — called “Capstones” — for Coursera Specializations.

Combining a curated series of courses with a final Capstone Project, Specializations help you master new skills with the best of university teaching and the real-time market perspective of top industry partners. Hundreds of thousands of learners have enrolled in Specializations since their launch in January 2014.

But partnerships like Coursera’s include employers actually certifying groups of courses as meeting industry’s standards for skills and knowledge – essentially an end-run around traditional accreditation as a measure of quality.

Also see:

Udacity’s nanodegree program”
Credentials built and recognized by industry leaders to advance your career

From DSC:

First of all, that piece about the end-around traditional accreditation should make those of us working within higher ed veeeeerrrrry nervous — and much more responsive — as accreditation has been what’s kept traditional institutions of higher ed in the game. If that goes, well…hmmm…things could get very interesting.

Secondly, those who talk of the demise of MOOCs are waaayyy too premature in their assessment/conclusion. Technologies and vendors such as IBM (Watson), Apple (Siri), Google (Deepmind), and Microsoft (Cortana and Azure Machine Learning) could bake their products into MOOCs. Also, what happens if vendors involved with developing personalized learning platforms and/or those vendors specializing with big data start approaching MOOC providers? (See Will micro-credentialing be an example of the use of big data in education and training?) The resulting offerings could have an enormous impact on how people learn and make a living in the future. Again, if those types of technologies get baked into MOOCs, I’m pretty sure that people won’t be discounting MOOCs any longer.

Also, it’s because of items like those mentioned above that sometimes make me wonder if online education and digitally-related delivery mechanisms are what will save the liberal arts. People could pick up courses in the liberal arts throughout their lifetimes — obtaining degrees…or not. (As a brief aside, I wonder to what extent faculty members will develop their own brands.) Anyway, it’s getting to the point that many people can’t afford the campus experience. But could they afford something online…? It could be…depending upon the pricing and associated business models involved. My guess is that those institutions who practice a team-based approach will survive and thrive — if they keep a steady eye on their pricing.

3 items re: necessary skills for the modern workplace

On 02/26/2015, in career development, collaboration, communications, communities of practice, corporate / business world, corporate universities / corporate training, creativity, education reform, entrepreneurship, innovation, new media literacies, play, professional development, social learning / networks, training / L&D, trends, web-based collaboration, workplace, by Daniel Christian

digital workforce skills — from jarche.com by Harold Jarche

Excerpt:

Behaviour change comes through small, but consistent, changes in practice. So how do we move from responsibility, to creativity, and potentially to innovation? Play, explore, and converse. But first we need to build a space to practice. This is where management plays a key role: providing the space to ‘Do it Yourself’.

Our employer-employee marriages need counseling — from forbes.com by Dov Seidman

Excerpt (emphasis DSC):

Our Big Asks of employees have become so pervasive that they’re transforming into competencies. A report by Palo Alto-based non-profit research firm Institute for the Future identifies 10 increasingly important work skills. These include talents like: The ability to critically assess and develop content that uses new media forms, and to leverage these media for persuasive communication; cross-cultural competency; proficiency at thinking and coming up with solutions and responses beyond that which is rote or rules-based; and the ability to translate vast amounts of data into abstract concepts and to understand data-based reasoning.

Andrew McAfee: The Second Machine Age is approaching. Here’s how we can prepare. — from huffingtonpost.com by Dawn Nakagawa , EVP, Berggruen Institute

Excerpt:

Nakagawa: Inequality is already a problem. How much worse will inequality get in this new future?

McAfee: The stratospheric wealth of the 1 percent presents some challenges. But I think it’s largely a distraction from the more important challenge, which is not about the people at the top pulling away. It is about the 50th-percentile worker or the 25th-percentile worker. It is about the stagnation in the prospects and earnings of the middle class. We need to focus on how to improve the prospects for the middle and the bottom, people who are finding themselves stagnating or sliding backwards. It could well be that higher marginal tax rates on top levels of income and wealth are part of the solution, but we need to broaden the conversation to look for comprehensive solutions to a complex problem.

…

Nakagawa: How do we need to change the education system, not to address the labor force skills gap we see today but to prepare our younger generation for the economy that is coming?

McAfee: Our education system is in need of an overhaul. It is frustrating that our primary education system is doing a pretty good job at turning out the kinds of workers we needed 50 years ago. Basic skills, the ability to follow instructions, execute defined tasks with some level of consistency and reliability. Machines can do all those things better than we can. What they can’t do, at least not yet, are things like negotiate, provide loving and compassionate care, motivate a team of people, design a great experience, realize what people want or need, figure out the next problem to work on and how to solve it and so on. And not all the items on that list require advanced degrees. We’re going to need people with all kinds of skills and training for some time to come, so let’s rethink our education system so that it provides the required variety.

5 items on listening — an underrated skill

On 02/09/2015, in career development, collaboration, learning, learning ecosystem, learning theories, metacognition / metacognitive skills, professional development, psychology, relationships, smart classrooms, student-related, web-based collaboration, youth, by Daniel Christian

From DSC:
Many K-12 schools as well as colleges and universities have been implementing more collaborative learning spaces. Amongst other things, such spaces encourage communication and collaboration — which involve listening. So here are some resources re: listening — a skill that’s not only underrated, but one that we don’t often try to consciously develop and think about in school. Perhaps in our quest for designing more meta-cognitive approaches to learning, we should consider how each of us and our students are actually listening…or not.

Mackay: The power of listening — from startribune.com by Harvey Mackay

Excerpts:

We are born with two ears, but only one mouth. Some people say that’s because we should spend twice as much time listening. Others claim it’s because listening is twice as difficult as talking.

Whatever the reason, developing good listening skills is critical to success. There is a difference between hearing and listening.
…
These statistics, gathered from sources including the International Listening Association* website, really drive the point home. They also demonstrate how difficult listening can be:

85 percent of our learning is derived from listening.
Listeners are distracted, forgetful and preoccupied 75 percent of the time.
Most listeners recall only 50 percent of what they have heard immediately after hearing someone say it.
People spend 45 percent of their waking time listening.
Most people remember only about 20 percent of what they hear over time.
People listen up to 450 words per minute, but think at about 1,000 to 3,000 words per minute.
There have been at least 35 business studies indicating listening as a top skill needed for success.

From the International Listening Association*
LISTENING AND EDUCATION

Even though most of us spend the majority of our day listening, it is the communication activity that receives the least instruction in school (Coakley & Wolvin, 1997). Listening training is not required at most universities (Wacker & Hawkins, 1995). Students who are required to take a basic communication course spend less than 7% of class and text time on listening (Janusik, 2002; Janusik & Wolvin, 2002). If students aren’t trained in listening, how do we expect them to improve their listening?
Listening is critical to academic success. An entire freshman class of over 400 students was given a listening test at the beginning of their first semester. After their first year of studies, 49% of students scoring low on the listening test were on academic probation, while only 4.42% of those scoring high on the listening test were on academic probation. Conversely, 68.5% of those scoring high on the listening test were considered Honors Students after the first year, while only 4.17% of those scoring low attained the same success (Conaway, 1982).
Students do not have a clear concept of listening as an active process that they can control. Students find it easier to criticize the speaker as opposed to the speaker’s message (Imhof, 1998).
Effective listening is associated with school success, but not with any major personality dimensions (Bommelje, Houston, & Smither, 2003).
Students report greater listening comprehension when they use the metacognitive strategies of asking pre-questions, interest management, and elaboration strategies (Imhof, 2001).
Students self-report less listening competencies after listening training than before. This could be because students realize how much more there is to listening after training (Ford, Wolvin, & Chung, 2000).
Listening and nonverbal communication training significantly influences multicultural sensitivity (Timm & Schroeder, 2000).

* The International Listening Association promotes the study, development,
and teaching of listening and the practice of effective listening skills and
techniques. ILA promotes effective listening by establishing a network of
professionals exchanging information including teaching methods, training
experiences and materials, and pursuing research as listening affects
humanity in business, education, and intercultural/international relations.

10 important skills for active listening — from educatorstechnology.com

Excerpt:

Effective Listening — with Tatiana Kolovou and Brenda Bailey-Hughes — from lynda.com

Course description:
Listening is a critical competency, whether you are interviewing for your first job or leading a Fortune 500 company. Surprisingly, relatively few of us have ever had any formal training in how to listen effectively. In this course, communications experts Tatiana Kolovou and Brenda Bailey-Hughes show how to assess your current listening skills, understand the challenges to effective listening (such as distractions!), and develop behaviors that will allow you to become a better listener—and a better colleague, mentor, and friend.

Topics include:

Recalling details
Empathizing
Avoiding distractions and the feeling of being overwhelmed
Clarifying your role
Using attentive nonverbal cues
Paraphrasing what was said
Matching emotions and mirroring

How to stop talking and start listening to your employees — from inc.com by Will Yakowicz
As a leader, you’re bound to be talking a lot, but you can’t forget to give others a chance to speak their mind.

—————————

Addendum on 2/13/15:

Wake-up call: How to really listen — from irishtimes.com by Sarah Green
Insights from the Harvard Business Review into the world of work
Excerpt:

“It can be stated, with practically no qualification,” Ralph Nichols and Leonard Stevens wrote in a 1957 article in Harvard Business Review, “that people in general do not know how to listen. They have ears that hear very well, but seldom have they acquired the necessary aural skills which would allow those ears to be used effectively for what is called listening. ”

In a study of thousands of students and hundreds of business people, they found that most retained only half of what they heard – and this immediately after they had heard it. Six months later, most people only retained 25 per cent.
…

It all starts with actually caring what other people have to say, argues Christine Riordan, provost and professor of management at the University of Kentucky.

Listening with empathy consists of three specific sets of behaviours.

From DSC:
It seems like there’s been an increase in the number of “boot camps” that I’m seeing — below are some examples:

.

New MOOC Platform Provides Free IT Certification Courses — from campustechnology.com by Rhea Kelly

People offering their own bootcamps / building their own brands; such as this Two Week Web Development Bootcamp for Beginners by Adam Stanford.

Some other approaches that are occurring:

Ideo U

Yieldr Academy

Lessons Go Where

ClassDo

Udemy

C-Suite TV.com

Simon & Schuster to sell online courses taught by popular authors — from nytimes.com by Alexandra Alter; with thanks to Sidneyeve Matrix for her Tweet on this

Excerpt:

Simon & Schuster is making a push into paid online video, with a new website offering online courses from popular health, finance and self-help authors.

The cost of the first batch of online courses ranges from $25 to $85, and includes workbooks and access to live question-and-answer sessions with three authors: Dr. David B. Agus, the best-selling author of “The End of Illness”; Zhena Muzyka, who wrote the self-help book “Life by the Cup”; and Tosha Silver, the author of the spiritual advice book “Outrageous Openness.” The courses will be available on the authors’ individual websites and on the company’s new site, SimonSays.

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The real revolution in online education isn’t MOOCs — from hbr.org by Michelle Weise

Excerpt (emphasis DSC):

Something is clearly wrong when only 11% of business leaders — compared to 96% of chief academic officers — believe that graduates have the requisite skills for the workforce. It’s therefore unlikely that business leaders are following closely what’s going on in higher education. Even the latest hoopla around massive open online courses (MOOCs) amounts to more of the same: academics designing courses that correspond with their own interests rather than the needs of the workforce, but now doing it online.

But there is a new wave of online competency-based learning providers that has absolutely nothing to do with offering free, massive, or open courses. In fact, they’re not even building courses per se, but creating a whole new architecture of learning that has serious implications for businesses and organizations around the world.

It’s called online competency-based education, and it’s going to revolutionize the workforce.
…
The key distinction is the modularization of learning.
…
Here’s why business leaders should care: the resulting stackable credential reveals identifiable skillsets and dispositions that mean something to an employer. As opposed to the black box of the diploma, competencies lead to a more transparent system that highlights student-learning outcomes.

From DSC:
Though several of the items above have a slant towards IT/coding/programming, other disciplines may be impacted by these types of trends as well.

These developments are meant for consideration for those of us working within higher education. What do they mean for us? Should they inform more of our strategies? Our visions? Our responses?

Addendums on 2/17/15:

Should your institution consider a nanodegree program? — from by Rebecca Lundberg
Students seeking to build technical skills and credentials are enrolling in nanodegree programs.

Addendum on 3/27/15:

Anyone Can Be a Teacher at Skillshare, an Online School — from nytimes.com by Jonah Bromwich
Excerpt:
Skillshare is an online video platform that allows anyone to sign up and teach a class. The company has proved adept at recruiting experts to teach on its website. Aside from Ms. Orlean’s class on creative nonfiction, the website has a class on visual storytelling from the design maven Debbie Millman and a marketing course taught by the entrepreneur Seth Godin. At one point, it even offered screenwriting instruction from James Franco.

Addendum on 4/1/15 — with thanks to Mr. Cal Keen at Calvin College

Canvas.net

Addendum on 4/7/15:

Udemy alternatives for selling video courses online — from robcubbon.com
Udemy is currently the leading online learning platform. Their top 10 instructors all made over $500,000 last year and the top earner makes over $8 million. I make $4000+ each month by selling courses on Udemy.

Addendum on 5/1/15:

worldacademy.tv

Addendum on 5/18/15:

16 Startups Poised to Disrupt the Education Market — from inc.com by Ilan Mochari
Colleges and universities are facing new competition for customers–students and their parents–from startups delivering similar goods (knowledge, credentials, prestige) more affordably and efficiently. Here’s a rundown of some of those startups.

A smorgasboard of items re: data science and data scientists, including machine learning

On 01/06/2015, in 21st century, analytics, Artificial Intelligence/Agents/LLMs/and Related, business, career development, computer science, corporate / business world, data related items, future, professional development, workplace, by Daniel Christian

Ten Trends in Data Science 2015 — from linkedin.com by Kurt Cagle

Excerpt:

Data Science Teams
I see the emergence within organizations of data science teams. Typically, such teams will be made up of a number of different specialties:

Integrator. A programmer or DBA that specializes in data ingestion and ETL from multiple different sources. Their domain will tend to be services and databases, and as databases become data application platforms, their role primarily shifts from being responsible for schemas to being responsible for building APIs. Primary focus: Data Acquisition
Data Translation Specialist. This will typically be a person focused on Hadoop, Map/Reduce and similar intermediate processing necessary to take raw data and clean it, transform it, and simplify it. They will work with both integrators and ontologists, Primary Focus: Data Acquiisition
Ontologist. The ontologist is a data architect specializing in building canonical models, working with different models, and establishing relationships between data sets. They will often have semantics or UML backgrounds. Primary focus: Data Awareness.
Curators. These people are responsible for the long term management, sourcing and provenance of data. This role is often held by librarians or archivists. They will often work closely with the ontologists. Primary Focus: Data Awareness.
Stochastic Analyst (Data Scientist?). This role is becoming a specialist one, in which people versed with increasingly sophisticated stochastic and semantic analysis tools take the contextual data and extraction trends, patterns and anti-patterns from this. They usually have a strong mathematical or statistical background, and will typically work with domain experts. Primary Focus: Data Analysis
Domain Expert. Typically these are analysts who know their particular domain, but aren’t necessarily expert on informatics. These may be financial specialists, business analysts, researchers, and so forth, depending upon the specific enterprise focus. Primary Focus: Data Analysis
Visualizers. These are typically going to be web interface developers with skills in areas such as SVG or Canvas and the suites of visualization tools that are emerging in this area. Their role is typically to take the data at hand and turn it into usable, meaningful information. They will work closely with both domain experts and stochastic analysts, as well as with the ontologist to better coerce the information coming from the data systems into meaningful patterns. Primary Focus:Data Analysis
Data Science Manager. This person is responsible for managing the team, understanding all of the domains reasonably well enough to interface with the client, and coordinating efforts. This person also is frequently the point person for establishing governance. Primary Focus: All.

Infographic: What’s Hot in Data Science in 2015 — from data-informed.com; with thanks to Michael Caveretta’s tweet on this

Michigan State Wants a Big Data Professor on Campus — from edtechmagazine.com by D. Frank Smith; back from Nov 2014
Explosive growth in the data science field is pushing higher education to extend its analytics expertise.

Excerpt:

There is a torrent of information flooding today’s higher education institutions. Michigan State University is hoping to find Big Data experts to turn it into results.

Putting Big Data to use in an educational setting takes a special set of skills. MSU’s College of Communication Arts and Sciences recently held a search for an assistant professor of Big Data and health, a position that will lead courses on data analytics and IT in the Department of Media and Information.

“We seek a scholar conducting cutting-edge social and/or technical research utilizing big data approaches — including theory-building, analytics, applications, and effects,” according to MSU’s job listing, which has expired, but is still available on LinkedIn.

Is Data Science a buzzword? Modern Data Scientist defined — from marketingdistillery.com by Krzysztof Zawadzki

Great #infographic! MT @exaptive: #Datascience isn’t = a single #datascientist / super employee. pic.twitter.com/iw6WfTILir ht @analyticisms
— Michael Cavaretta (@mjcavaretta) December 12, 2014

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From DSC: Those working in higher ed – take note of this 12 week bootcamp:

.

.. .

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Should Big Data Skills Be Taught in K–12 Classrooms? — from by D. Frank Smith
A new report recommends that schools begin preparing students to think like data scientists at an earlier age.

Excerpt:

The skills necessary for the data analytics jobs of tomorrow aren’t being taught in K–12 schools today, according to a new report released by the Education Development Center, Inc.’s (EDC) Oceans of Data Institute. The Profile of the Big-Data Enabled Specialist projects a workforce shortage for data-driven positions. Based on a 2011 McKinsey & Co. report cited by the Oceans of Data Institute, ”By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.”

Difference between Data Scientist and Data Analyst — from edureka.co; again, with thanks to Michael Caveretta’s tweet on this

Excerpt: .

.

The Data Scientist’s Toolbox — course from coursera.org

The 25 Hottest Skills That Got People Hired in 2014 — from linkedin.com

Excerpts:

Statistical analysis and data mining
Business intelligence
Data engineering and data warehousing

16 analytic disciplines compared to data science — from datasciencecentral.com by Vincent Granville

Excerpt:

What are the differences between data science, data mining, machine learning, statistics, operations research, and so on?

Here I compare several analytic disciplines that overlap, to explain the differences and common denominators. Sometimes differences exist for nothing else other than historical reasons. Sometimes the differences are real and subtle. I also provide typical job titles, types of analyses, and industries traditionally attached to each discipline. Underlined domains are main sub-domains. It would be great if someone can add an historical perspective to my article.

Tech 2015: Deep Learning And Machine Intelligence Will Eat The World — from forbes.com by Anthony Wing Kosner; with thanks to Pedro for his tweet on this

Excerpt:

Despite what Stephen Hawking or Elon Musk say, hostile Artificial Intelligence is not going to destroy the world anytime soon. What is certain to happen, however, is the continued ascent of the practical applications of AI, namely deep learning and machine intelligence. The word is spreading in all corners of the tech industry that the biggest part of big data, the unstructured part, possesses learnable patterns that we now have the computing power and algorithmic leverage to discern—and in short order.

The effects of this technology will change the economics of virtually every industry.

The rise of machines that learn — from infoworld.com by Eric Knorr; with thanks to Oliver Hansen for his tweet on this
A new big data analytics startup, Adatao, reminds us that we’re just at the beginning of a new phase of computing when systems become much, much smarter

Shivon Zilis, Machine Intelligence Landscape

Data Science Dojo — @DataScienceDojo
Stanford startup focused on all things data science.

The 2 Types Of Data Scientists Everyone Should Know About — from datasciencecentroal.com by Bernard Marr

Excerpt:

It depends entirely on how broadly you categorize them. In reality, of course – there are as many “types” of data scientist as there are people working in data science. I’ve worked with a lot, and have yet to meet two who are identical.

But what I have done here is separate data scientists into groups, containing individuals who share similar skills, methods, outlooks and responsibilities. Then I grouped those groups together, again and again, until I was left with just two quite distinctly different groups.

I’ve decided to call these two types strategic data scientists and operational data scientists.

Deep learning Reading List — from jmozah.github.io

Changing role of the CLO — from business-standard.com by Gurprriet Singh

Excerpt:

The ownership for keeping skills and competencies sharpened will move to the employee. With the emergence of MOOCs, social media enabled knowledge and connections, which facilitate you to identify and appoint mentors across dimensions and distance, the role of L&D as the provider of knowledge and provider of resource is soon becoming extinct. Individuals need to own their own development and leverage the resources available in social media. Just recently, IBM cut salaries by 10 per cent, of employees who had not kept their skills updated.

…

As Jack Welch said, “If the rate of change inside your organisation is slower than the rate of change outside, the end is near”. In such a scenario, the thinking and orientation must shift from being able to manage change TO being able to change on a dime which means Dynamism. The role of L&D thus becomes key in influencing the above cultural pillars. And to do so, is to select for the relevant traits, focus on interventions that help hone those traits. Traits and skills are honed by Experience. And that brings me to the 70:20:10.

From DSC:
I think Gurprriet is right when he says that there’s a shift in the ownership of our learning. We as individuals need to own our own development and leverage social media, MOOCs, online and/or F2F-based courses, other informal/on-the-job resources, our personal learning networks, and our Communities of Practice. Given the pace of change, each of us needs to be constantly building/expanding our own learning ecosystems. We need to be self-directed, lifelong learners (for me, this is where learning hubs and learning from our living rooms will also play a role in the future). One approach might be for those in L&D/corporate training-related functions to help employees know what’s out there — introduce them to the streams of content that are constantly flowing by. Encourage them to participate, teach them how to contribute, outline some of the elements of a solid learning ecosystem, create smaller learning hubs within a company.

learningnow.tv <-- An example of a significant piece of our future learning ecosystems? Quite possibly.

On 12/01/2014, in A/V -- audio/visual, adult learning, communications, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital learning, digital storytelling, education technology, emerging technologies, future, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, interactivity, internet, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning spaces, lifelong learning, media/film, mobile learning, more voice more choice more control, multimedia, online learning, online media, personalized/customized learning, platforms, professional development, second screen apps, social learning / networks, streams of content, tablets, teaching & learning, technologies for your home, telepresence, television, training / L&D, transmedia, TVs, UK, using teams, web-based collaboration, by Daniel Christian

From their website: (emphasis DSC)

LEARNING NOW tv is a live-streamed internet tv channel bringing you inspirational interviews, debates and round tables, and advice and guidance on real world issues to keep you up-to date in the world of learning and development.

Membership to the channel is FREE. You will be able to interact with us on our social channel during the live stream as well as having a resource of the recorded programmes to refer to throughout the year.

Learning Now tv is run and produced by some of the L&D world’s leading experts who have many years’ experience of reporting the real-world issues for today’s learning and development professionals.

I originally saw this at Clive Sheperd’s posting:
TV very much alive for learning professionals

Also see:

This new service makes me think of some related graphics:

Addendum on 12/2/14 — from Learning TRENDS by Elliott Masie – December 2, 2014 | #857

Idea – Courses in the Air:
There were representatives from airlines, Aviation Authorities and even Panasonic – which makes the interactive movie and TV systems on long distance airplanes. So, I rolled out one of my “aha ideas” that I would love to see invented sometime: Courses in the Air.

What if a passenger could choose to take a mini-course on a 4 to 14 hour flight. It would be a MOOC in the Sky – with video, reading and interactive elements – and someday might even include a real time video chat function as well. The learner could strive to earn a “badge” or roll them up into a certificate or degree program – that they pursued over several years of flights. It would be an intriguing element to add to international travel.

Reflections on “The University of Southern California, Condé Nast and WIRED launch Master of Integrated Design, Business and Technology”

On 11/18/2014, in 21st century, 24x7x365 access, A/V -- audio/visual, adult learning, Amazon, analytics, Apple, art, Artificial Intelligence/Agents/LLMs/and Related, business side of he, career development, changing business models, collaboration, competency-based learning/education, corporate / business world, corporate universities / corporate training, creativity, Daniel S. Christian, data related items, design, future, future of higher education, game-changing environment, Google, higher education, IBM, Learning from the Living [Class] Room, MBA, Microsoft, new business models, pace of change, professional development, real-world assignments, reinvent, staying relevant, strategy, student-related, technology (general), workplace, by Daniel Christian

Following up on yesterday’s posting, History Channel bringing online courses to higher ed, I wanted to thank Mr. Rob Kingyens, President at Qubed Education, for alerting me to some related work that Qubed Education is doing. Below is an example of that work:

The University of Southern California, Condé Nast and WIRED launch Master of Integrated Design, Business and Technology — from qubededucation.com
New Learning Model Combines Network and Access of WIRED with Academic Strength and Vision of the USC Roski School of Art and Design

Excerpt (emphasis DSC):

MARIN, Calif., October 1, 2014 – The University of Southern California, Condé Nast and WIRED today announced a partnership to create a new online Master’s degree in Integrated Design, Business and Technology. The partnership creates an unprecedented learning experience, combining the expertise of the editors, writers, and designers at WIRED with the academic rigor of USC, a leading research university known for its pioneering interdisciplinary programs. The aim of the 18-24 month degree is to educate creative thinkers and technologists to better equip them to transform the world of industry and enterprise. The first cohort is scheduled to begin in the 2015-2016 academic year.

…

“The pace of technology development requires higher education to continue to respond with programs that are flexible and adaptable, and that meet the needs of future cultural and business leaders,” said Dean Muhl.

“We’ve been thinking for years about what a university curriculum with WIRED would look like, and now we have a chance to build it with a terrific partner,” said Dadich. “Taking the best from USC and WIRED, we can teach discipline and disruption, business fundamentals, and the very latest innovation models from Silicon Valley. This is going to be thrilling.”

…

USC’s program development and build out will be powered by higher education partners Synergis Education and Qubed Education.

From Qubed’s website:

Qubed is the gateway for world-class, global brands to enter the education market with top tier universities.

From DSC:
I’ve long wondered if institutions of higher education will need to pool resources and/or form more partnerships and collaborations — either with other universities/colleges or with organizations outside of higher education. This reflection grows stronger for me when I:

Think that team-based content creation and delivery is pulling ahead of the pack
Hear about the financial situations of many institutions of higher education today (example1; example2)
See the momentum building up behind Competency Based Education (CBE)
Witness the growth of alternatives like Ideo Futures, Yieldr Academy, Lessons Go Where, ClassDo, Udemy, C-Suite TV.com and others
Hear about the potential advantages of learning analytics
See the pace of change accelerating — challenging higher education to keep up

For some institution(s) of higher education out there with deep pockets and a strong reputation, I could see them partnering up with an IBM (Watson), Google (Deepmind), Apple (Siri), Amazon (Echo), or Microsoft (Cortana) to create some next generation learning platforms. In fact, this is one of the areas I see occurring as lifelong learning/self-directed learning opportunities hit our living rooms. The underlying technologies these companies are working on could be powerful allies in the way people learn in the future — doing some heavy lifting to build the foundations in a variety of disciplines, and leaving the higher-order learning and the addressing of gaps to professors, teachers, trainers, and others.

The growth mindset is sooooo key for us/our students to accept & live by

On 08/20/2014, in career development, corporate / business world, corporate universities / corporate training, higher education, ideas, K-12 related, learning, learning ecosystem, learning hubs & pods & microschooling, lifelong learning, love of learning, professional development, reinvent, training / L&D, workplace, by Daniel Christian

Also see:

Sal Khan talks with Stanford Professor Carol Dweck about her research on the Growth Mindset
.
What is mindset — by Carol Dweck

Excerpt:

In a fixed mindset, people believe their basic qualities, like their intelligence or talent, are simply fixed traits. They spend their time documenting their intelligence or talent instead of developing them. They also believe that talent alone creates success—without effort. They’re wrong.

In a growth mindset, people believe that their most basic abilities can be developed through dedication and hard work—brains and talent are just the starting point. This view creates a love of learning and a resilience that is essential for great accomplishment. Virtually all great people have had these qualities.

Teaching a growth mindset creates motivation and productivity in the worlds of business, education, and sports. It enhances relationships.

From DSC:
This belief that we can grow and learn is critically important — for people of all ages. Let’s help folks stay encouraged and keep trying! Keep failing! Keep trying! You’ll/we’ll get it!

Does Studying Fine Art = Unemployment? Introducing LinkedIn’s Field of Study Explorer [Hwang]

On 08/14/2014, in art, Augmented Reality (AR), biology, business, career development, chemistry, computer science, corporate / business world, corporate universities / corporate training, design, drama/theater, engineering, entrepreneurship, geography / geology, higher education, history, instructional design, interaction design, interface design, K-12 related, leadership, liberal arts, library / librarians, marketing/social marketing, marketplaces, mathematics, MBA, media/film, music, new media literacies, organizational change, photography, political science, professional development, programming, psychology, publishing, reinvent, staying relevant, student-related, tools, user interface design, web design and production, workplace, writing, youth, by Daniel Christian

Does Studying Fine Art = Unemployment? Introducing LinkedIn’s Field of Study Explorer — from LinkedIn.com by Kathy Hwang

Excerpt:

[On July 28, 2014], we are pleased to announce a new product – Field of Study Explorer – designed to help students like Candice explore the wide range of careers LinkedIn members have pursued based on what they studied in school.

So let’s explore the validity of this assumption: studying fine art = unemployment by looking at the careers of members who studied Fine & Studio Arts at Universities around the world. Are they all starving artists who live in their parents’ basements?

Also see:

The New Rankings? — from insidehighered.com by Charlie Tyson

Excerpt:

Who majored in Slovak language and literature? At least 14 IBM employees, according to LinkedIn.

Late last month LinkedIn unveiled a “field of study explorer.” Enter a field of study – even one as obscure in the U.S. as Slovak – and you’ll see which companies Slovak majors on LinkedIn work for, which fields they work in and where they went to college. You can also search by college, by industry and by location. You can winnow down, if you desire, to find the employee who majored in Slovak at the Open University and worked in Britain after graduation.

Everyone needs to be a futurist [Gorsht]

On 06/27/2014, in career development, change, future, organizational change, pace of change, professional development, reinvent, staying relevant, workplace, by Daniel Christian

Everyone needs to be a futurist — from innovationexcellence.co by Reuven Gorsht

Excerpts (emphasis DSC):

While most of us work on the day-to-day operational details and focus on hitting the metrics, we often assume that there must be someone in the company that is thinking about the future. Whether we assume it’s the board, senior executives or perhaps the corporate strategy team, we somewhat believe that somewhere above our level, both the foresight and plans exist to stave disruption, capitalize on new opportunities and figure out exactly how the company needs to change to either survive or achieve the next paradigm of growth.

This, however, is a fallacy that lands organizations and individuals in a lot of hot water. While most of us are in roles where we are focused on exploiting the current business model, nowadays, everyone’s job, regardless of level, is to be somewhat of a futurist who is able to foresee where the business is going and internalize the change by creating and executing their individual plans.

Everyone needs to be a futurist.

…

Yes, we all have full-time jobs and enough on our plates to keep us busy, but without an investment in gaining the foresight and our own personal meaning on where our company, industry and roles are going, how might we proactively keep ourselves relevant? Sometimes ignorance is bliss, and most of us prefer to be in our comfort zones, but we’ve all seen the recent wake-up calls from companies such as Nokia, New York Times and Blackberry.

When it gets to a point that senior leadership has to write a manifesto that calls for drastic change, it is likely too late to start shifting yourself to adjust to the new realities of your company. Only by being proactive, can we effectively internalize what it may mean for us individually and create the runway necessary to make the shift.

Bottom line: If you’re not spending some time understanding the future and what it means to you personally, you are effectively putting yourself in the position of being tapped on the shoulder one day and being told that you are no longer relevant to where the company is headed.

International Journal of Advanced Corporate Learning (iJAC) — latest issue now available

On 06/12/2014, in collaboration, corporate / business world, corporate universities / corporate training, higher education, professional development, telecommunications, workplace, by Daniel Christian

International Journal of Advanced Corporate Learning (iJAC) — latest issue now available

Excerpts:

Papers

Integrating Corporate Competence with Real Cases into Higher Education Curriculum
Hong Wu
.
Collaborative Learning in the Workplace: Practical Issues and Concerns
Hyunkyung Lee, Curtis J. Bonk

Case Study

GEDIFO: A Cross-Organizational Approach to Learning in Communities of Practice
Christina Merl, Ulrich Schönbauer

Short Papers

The Usage of Telecommunication Technologies in the Integration of Universities and Business
Rustem Lukmanovich Sakhapov, Svetlana Germanovna Absalyamova
.
Knowing Customers Better: An Experimentation of Twit Marketing in the e-Commerce Industry
Hamad Al Turki, Ayham Fayyoumi

Learning Ecosystems

“Preparing for the Workforce of the Future” + “The Rise of the On-Demand Economy”+ other workplace-related items

The future of documentation? Heads up to Technical Communicators, Trainers, User Experience Designers, & similar positions

Reflections on “How Google and Coursera may upend the traditional college degree” [Butler]

Alternatives — to the way things are typically done in higher ed — continue to develop

Everyone needs to be a futurist [Gorsht]

International Journal of Advanced Corporate Learning (iJAC) — latest issue now available

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