Finding our voice: Instructional Designers in higher education — from er.educause.edu by Sandra Miller and Gayle Stein

Key Takeaways

  • A New Jersey workshop on instructional design gave attendees the opportunity to learn about instructional designers’ roles at different institutions and brainstorm good ideas, tips and tricks, important contributions to the field, and how to overcome shared challenges.
  • Instructional technologists and video production coordinators also are involved in the instructional design process, helping faculty learn how to use instructional tools.
  • A major challenge for instructional designers is faculty resistance to new pedagogies and deliveries — not just to hybrid and online courses.
  • Institutional acknowledgement of skill acquisition in their professional development can lead faculty to place a higher value on technology integration in teaching and learning.

What Instructional Designers Do
Instructional designers take on a variety of roles. They can be course development focused or technology focused. They can be facilitators, mentors, trainers, collaborators, reviewers, and mediators, and more likely some combination of those. They often have different roles to fill in addition to instructional design: they may supervise computer labs, have responsibility for classroom technology, and/or oversee video production facilities.

The instructional designers who attended the NJEDge.Net Instructional Design Symposium are involved in:

  • Providing both pedagogical and technology training, sometimes simultaneously and sometimes separately
  • Moving courses between learning management systems
  • Creating new online courses or transitioning face-to-face courses to online formats
  • Producing video and other multimedia
  • Supporting a variety of software that faculty want to use to create their courses or
  • Training faculty to teach more effectively using technology
  • Supporting students using LMSs
  • Ensuring that courses meet federal requirements for accessibility
  • Lobbying for funding for faculty who are taking time to create online courses
  • Creating challenging assessments to minimize cheating

Instructional technologists and video production coordinators also are involved in the instructional design process. They help faculty learn how to use instructional tools such as lecture capture, synchronous meetings, asynchronous discussions, collaborative document writing, group work, clickers, learning management systems, video production, and video editing.

 

The instructional designers found that it made a difference in terms of trust and respect accorded them when they sat on the academic side of the house. (Nonetheless, the majority of instructional designers at the symposium report to the IT side and ultimately (usually) to the financial/administrative side, despite their preference for the academic side.)

 

 

A prediction from DSC:
Those institutions who develop and use internal teams of specialists will be the winners in the future.

Below are some of the forces that will reward those institutions who pursue such a strategy in order to design, create, and provide their offerings/services include:

  • The rise of personalized/adaptive learning (data mining, learning analytics are also included in this bullet point)
  • The increased use of artificial intelligence and the development of intelligent systems/assistants/tutoring
  • Higher ed’s need to scale and reduce the going rates/prices of obtaining degrees — yet maintaining quality
  • Rapid technological changes and an ever increasing amount to know as instructional technologists (this is also true with videographers, multimedia developers, copyright experts, and other members of the team)
  • New discoveries and advances w/in the various disciplines — which require faculty members’ focus to stay on top of their disciplines
  • The changing expectations of students, and how they prefer to learn
  • The rise of alternatives to institutions of traditional higher education who, from their very start, develop and use internal teams of specialists (all the more relevant if these alternative organizations obtain the financial backing of the Federal Government)

The trick is how such teams should actually operate so as not to become bottlenecks in keeping the curricula relevant and up-to-date. After all, it takes time and resources to effectively design, create, and deliver blended and/or online courses.

 

 

From resonics.co.uk with a shout out to Mr. Jeremy Luscombe for the resource:

 

Courtesy Of Resonics

 

Top 20 User Experience Blogs and Resources of 2015 — from usabilitygeek.com by Matt Ellis

Example resources from that posting:

 

ux-design-feb2016

 

 

ux-design2-feb2016

 

 

 

ux-design3-feb2016

BONUS: 15 Honorable Mentions

The following is a list of other excellent user experience blogs that did not make it in this list but are so good that they are still worth a mention. So please be sure to check them out as well!

 

From DSC:
Though I’m sure this list is missing many talented folks and firms, it’s a great place to start learning about user experience design, interface design, interaction design, prototyping, and usability testing.

 

 

 

Top 10 skills in data science — from businessoverbroadway.com by Bob Hayes

Excerpt:

The practice of data science requires skills that fall into three general areas: business acumen, computer technology/programming and statistics/math. Depending on whom you ask, the specific set of top skills varies. Dave Holtz describes the data science skills you need to get a job as a data scientist (8 Skills You Need to Be a Data Scientist). Ferris Jumah, examining LinkedIn profiles with the title “Data Scientists,” identified 10 skills (The Data Science Skills Network). BurtchWorks offers their list of skills that are critical to success in data science (9 Must-Have Skills You Need to Become a Data Scientist). RJMetrics, using LinkedIn data, identified the top 20 data science skill (The State of Data Science). For these lists, top skills reflected the frequency with which data professionals list these skills on their social media profile or simply reflect what the author thinks is a good set of skills.

 

DataScienceSkills-Jan2016

 

 

Will Lynda.com/LinkedIn.com pursue this powerful vision with an organization like IBM? If so, look out!

From DSC:
Back in July of 2012, I put forth a vision that I called Learning from the Living [Class]Room

 

The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV

It’s a vision that involves a multitude of technologies — technologies and trends that we continue to see being developed and ones that could easily converge in the not-too-distant future to offer us some powerful opportunities for lifelong learning! 

Consider that in won’t be very long before a learner will be able to reinvent himself/herself throughout their lifetime, for a very affordable price — while taking ala carte courses from some of the best professors, trainers, leaders, and experts throughout the world, all from the comfort of their living room. (Not to mention tapping into streams of content that will be available on such platforms.)

So when I noticed that Lynda.com now has a Roku channel for the big screen, it got my attention.

 

lyndadotcom-roku-channel-dec2015

 

Lets add a few more pieces to the puzzle, given that some other relevant trends are developing quite nicely:

  • tvOS-based apps are now possible — and already there are over 2600 of them and it’s only been a month or so since Apple made this new platform available to the masses
  • Now, let’s add the ability to take courses online via a virtual reality interface — globally, at any time; VR is poised to have some big years in 2016 and 2017!
  • Lynda.com and LinkedIn.com’s fairly recent merger and their developing capabilities to offer micro-credentials, badges, and competency-based education (CBE) — while keeping track of the courses that a learner has taken
  • The need for lifelong learning is now a requirement, as we need to continually reinvent ourselves — especially given the increasing pace of change and as complete industries are impacted (broadsided), almost overnight
  • Big data, algorithms, and artificial intelligence (AI) continue to pick up steam; for example, consider the cognitive computing capabilities being developed in IBM’s Watson — which should be able to deliver personalized digital playlists and likely some level of intelligent tutoring as well
  • Courses could be offered at a fraction of the cost, as MOOC-sized classes could distribute the costs over a greater # of people and back end systems could help grade/assess the students’ work; plus the corporate world continues to use MOOCs to cost-effectively train their employees across the globe (MOOCs would thrive on such a tvOS-based platform, whereby students could watch lectures, demonstrations, and simulations on the big screen and then communicate with each other via their second screens*)
  • As the trends of machine-to-machine communications (M2M) and the Internet of Things (IoT) pick up, relevant courses/modules will likely be instantly presented to people to learn about a particular topic or task.  For example, I purchased a crib and I want to know how to put it together. The chip in the crib communicates to my Smart TV or to my augmented reality glasses/headset, and then a system loads up some multimedia-based training/instructions on how to put it together.
  • Streams of content continue to be developed and offered — via blogs, via channels like Periscope and Meerkat, via social media-based channels, and via other channels — and these streams of multimedia-based content should prove to be highly useful to individual learners as well as for communities of practice

Anyway, these next few years will be packed with change — the pace of which will likely take us by surprise. We need to keep our eyes upward and outward — peering into the horizons rather than looking downwards — doing so should reduce the chance of us getting broadsided!

*It’s also possible that AR and VR will create
a future whereby we only need 1 “screen”

 

The pace has changed significantly and quickly

 

 

Addendum:
After I wrote/published the item above…it was interesting to then see the item below:

IBM opens Watson IoT Global Headquarters, extends power of cognitive computing to a connected world — from finance.yahoo.com
1000 Munich-based experts to drive IoT and industry 4.0 innovation
Launches eight new IoT client experience centers worldwide
Introduces Watson API Services for IoT on the IBM Cloud

Excerpt:

MUNICH, Dec. 15, 2015 /PRNewswire/ — IBM (NYSE: IBM) today announced the opening of its global headquarters for Watson Internet of Things (IoT), launching a series of new offerings, capabilities and ecosystem partners designed to extend the power of cognitive computing to the billions of connected devices, sensors and systems that comprise the IoT.  These new offerings will be available through the IBM Watson IoT Cloud, the company’s global platform for IoT business and developers.

 

 

6 ways work will change in 2016 — from fastcompany.com by Jared Lindzon
Workplace trends for 2016 will be set in large part by what’s happening in the freelance world right now.

Some of the areas covered include:

Remote-First Businesses
The Rise Of Independent Consultants
Less PowerPoint, More Video
Consumer-Grade Design As The New Normal

 

From DSC:
Are our students ready to successfully freelance when they graduate? Whether they are right away or not, chances are they will be a contingent worker at some point in their careers.

 

 

How to Publish an E-Book: Resources for Authors — by Jane Friedman

Excerpt:

About the only thing that remains constant in e-book publishing is that it changes—everything from the services to marketing strategies. Here, I’ve attempted to round-up all the good resources I know of related to (1) learning to publish an e-book, (2) finding the right e-publishing services, and (3) staying on top of changes in the industry.

Topics/areas that Jane provides resources for include:
Excellent Book-Length Guides
Getting Started & Principles
Producing a Solid Product
Sales, Marketing, and Promotion
Getting Reviews
Tools for Creating & Formatting E-Books
Tools for Creating Enhanced, Multimedia, or Full-Color E-Books
Major E-Book Retailers
Major E-Book Distributors & Services
To Find Freelance Help
Authors Who Blog About E-Book Publishing
News & Trends About E-Book Publishing

 

Coursera Survey Pins Down MOOC Benefits — from campustechnology.com by Dian Schaffhauser

Excerpt:

More than seven in 10 learners report career benefits and more than six in 10 report educational benefits from completing massive open online courses (MOOCs). Participants from developing countries and particularly those with lower socioeconomic status and less education appear to be more likely to report benefits from pursuing MOOCs.

Those results and others come out of the first major research survey done among Coursera learners and reported in the Harvard Business Review.

 

Here are the Top 100 Tools for Learning 2015 — from c4lpt.co.uk by Jane Hart

 

TopTools-2015-Hart

 

Excerpt:

Over 2,000 learning professionals from around the world from both education and enterprises contributed to the 9th Annual Survey of Learning Tools. Very many thanks to all those who took the time to complete the online form, write a blog post, send me an email or tweet me their selection.

I have now compiled the Top 100 Tools for Learning 2015, updated the Top 100 Tools for Learning website and prepared a slideset, which I have hosted on Slideshare and embedded below.

For the 7th year running Twitter is the  No 1 tool on the list, although this year it is very closely followed by YouTube, and once again, the list is dominated by free online tools and services. I can also see some interesting new trends in the tools that are being used for both personal learning and for creating learning content and experiences for others, and I will provide my analysis shortly. In the meantime, beneath the presentation, you will find a summary of the new tools on the list and the big movers up the list.

 

Now we’re talking! One step closer! “The future of TV is apps.” — per Apple’s CEO, Tim Cook

OneStepCloser-DanielChristian-Sept2015

 

From DSC:
We’ll also be seeing the integration of the areas listed below with this type of “TV”-based OS/platform:

  • Artificial Intelligence (AI)
  • Data mining and analytics
  • Learning recommendation engines
  • Digital learning playlists
  • New forms of Human Computer Interfaces (HCI)
  • Intelligent tutoring
  • Social learning / networks
  • Videoconferencing with numerous other learners from across the globe
  • Virtual tutoring, virtual field trips, and virtual schools
  • Online learning to the Nth degree
  • Web-based learner profiles
  • Multimedia (including animations, simulations, and more)
  • Advanced forms of digital storytelling
  • and, most assuredly, more choice & more control.

Competency-based education and much lower cost alternatives could also be possible with this type of learning environment. The key will be to watch — or better yet, to design and create — what becomes of what we’re currently calling the television, and what new affordances/services the “TV” begins to offer us.

 

MoreChoiceMoreControl-DSC

 

 

 

From Apple’s website:

Apple Brings Innovation Back to Television with The All-New Apple TV
The App Store, Siri Remote & tvOS are Coming to Your Living Room

Excerpt:

SAN FRANCISCO — September 9, 2015 — Apple® today announced the all-new Apple TV®, bringing a revolutionary experience to the living room based on apps built for the television. Apps on Apple TV let you choose what to watch and when you watch it. The new Apple TV’s remote features Siri®, so you can search with your voice for TV shows and movies across multiple content providers simultaneously.

The all-new Apple TV is built from the ground up with a new generation of high-performance hardware and introduces an intuitive and fun user interface using the Siri Remote™. Apple TV runs the all-new tvOS™ operating system, based on Apple’s iOS, enabling millions of iOS developers to create innovative new apps and games specifically for Apple TV and deliver them directly to users through the new Apple TV App Store™.

tvOS is the new operating system for Apple TV, and the tvOS SDK provides tools and APIs for developers to create amazing experiences for the living room the same way they created a global app phenomenon for iPhone® and iPad®. The new, more powerful Apple TV features the Apple-designed A8 chip for even better performance so developers can build engaging games and custom content apps for the TV. tvOS supports key iOS technologies including Metal™, for detailed graphics, complex visual effects and Game Center, to play and share games with friends.

 

Addendum on 9/11/15:

 

What might our learning ecosystems look like by 2025? [Christian]

This posting can also be seen out at evoLLLution.com (where LLL stands for lifelong learning):

DanielChristian-evoLLLutionDotComArticle-7-31-15

 

From DSC:
What might our learning ecosystems look like by 2025?

In the future, learning “channels” will offer more choice, more control.  They will be far more sophisticated than what we have today.

 

MoreChoiceMoreControl-DSC

 

That said, what the most important aspects of online course design end up being 10 years from now depends upon what types of “channels” I think there will be and what might be offered via those channels. By channels, I mean forms, methods, and avenues of learning that a person could pursue and use. In 2015, some example channels might be:

  • Attending a community college, a college or a university to obtain a degree
  • Obtaining informal learning during an internship
  • Using social media such as Twitter or LinkedIn
  • Reading blogs, books, periodicals, etc.

In 2025, there will likely be new and powerful channels for learning that will be enabled by innovative forms of communications along with new software, hardware, technologies, and other advancements. For examples, one could easily imagine:

  • That the trajectory of deep learning and artificial intelligence will continue, opening up new methods of how we might learn in the future
  • That augmented and virtual reality will allow for mobile learning to the Nth degree
  • That the trend of Competency Based Education (CBE) and microcredentials may be catapulted into the mainstream via the use of big data-related affordances

Due to time and space limitations, I’ll focus here on the more formal learning channels that will likely be available online in 2025. In that environment, I think we’ll continue to see different needs and demands – thus we’ll still need a menu of options. However, the learning menu of 2025 will be more personalized, powerful, responsive, sophisticated, flexible, granular, modularized, and mobile.

 


Highly responsive, career-focused track


One part of the menu of options will focus on addressing the demand for more career-focused information and learning that is available online (24×7). Even in 2015, with the U.S. government saying that 40% of today’s workers now have ‘contingent’ jobs and others saying that percentage will continue climbing to 50% or more, people will be forced to learn quickly in order to stay marketable.  Also, the 1/2 lives of information may not last very long, especially if we continue on our current trajectory of exponential change (vs. linear change).

However, keeping up with that pace of change is currently proving to be out of reach for most institutions of higher education, especially given the current state of accreditation and governance structures throughout higher education as well as how our current teaching and learning environment is set up (i.e., the use of credit hours, 4 year degrees, etc.).  By 2025, accreditation will have been forced to change to allow for alternative forms of learning and for methods of obtaining credentials. Organizations that offer channels with a more vocational bent to them will need to be extremely responsive, as they attempt to offer up-to-date, highly-relevant information that will immediately help people be more employable and marketable. Being nimble will be the name of the game in this arena. Streams of content will be especially important here. There may not be enough time to merit creating formal, sophisticated courses on many career-focused topics.

 

StreamsOfContent-DSC

 

With streams of content, the key value provided by institutions will be to curate the most relevant, effective, reliable, up-to-date content…so one doesn’t have to drink from the Internet’s firehose of information. Such streams of content will also offer constant potential, game-changing scenarios and will provide a pulse check on a variety of trends that could affect an industry. Social-based learning will be key here, as learners contribute to each other’s learning. Subject Matter Experts (SMEs) will need to be knowledgeable facilitators of learning; but given the pace of change, true experts will be rare indeed.

Microcredentials, nanodegrees, competency-based education, and learning from one’s living room will be standard channels in 2025.  Each person may have a web-based learner profile by then and the use of big data will keep that profile up-to-date regarding what any given individual has been learning about and what skills they have mastered.

For example, even currently in 2015, a company called StackUp creates their StackUp Report to add to one’s resume or grades, asserting that their services can give “employers and schools new metrics to evaluate your passion, interests, and intellectual curiosity.” Stackup captures, categorizes, and scores everything you read and study online. So they can track your engagement on a given website, for example, and then score the time spent doing so. This type of information can then provide insights into the time you spend learning.

Project teams and employers could create digital playlists that prospective employees or contractors will have to advance through; and such teams and employers will be watching to see how the learners perform in proving their competencies.

However, not all learning will be in the fast lane and many people won’t want all of their learning to be constantly in the high gears. In fact, the same learner could be pursuing avenues in multiple tracks, traveling through their learning-related journeys at multiple speeds.

 


The more traditional liberal arts track


To address these varied learning preferences, another part of the menu will focus on channels that don’t need to change as frequently.  The focus here won’t be on quickly-moving streams of content, but the course designers in this track can take a bit more time to offer far more sophisticated options and activities that people will enjoy going through.

Along these lines, some areas of the liberal arts* will fit in nicely here.

*Speaking of the liberal arts, a brief but important tangent needs to be addressed, for strategic purposes. While the following statement will likely be highly controversial, I’m going to say it anyway.  Online learning could be the very thing that saves the liberal arts.

Why do I say this? Because as the price of higher education continues to increase, the dynamics and expectations of learners continue to change. As the prices continue to increase, so do peoples’ expectations and perspectives. So it may turn out that people are willing to pay a dollar range that ends up being a fraction of today’s prices. But such greatly reduced prices won’t likely be available in face-to-face environments, as offering these types of learning environment is expensive. However, such discounted prices can and could be offered via online-based environments. So, much to the chagrin of many in academia, online learning could be the very thing that provides the type of learning, growth, and some of the experiences that liberal arts programs have been about for centuries. Online learning can offer a lifelong supply of the liberal arts.

But I digress…
By 2025, a Subject Matter Expert (SME) will be able to offer excellent, engaging courses chocked full of the use of:

  • Engaging story/narrative
  • Powerful collaboration and communication tools
  • Sophisticated tracking and reporting
  • Personalized learning, tech-enabled scaffolding, and digital learning playlists
  • Game elements or even, in some cases, multiplayer games
  • Highly interactive digital videos with built-in learning activities
  • Transmedia-based outlets and channels
  • Mobile-based learning using AR, VR, real-world assignments, objects, and events
  • …and more.

However, such courses won’t be able to be created by one person. Their sophistication will require a team of specialists – and likely a list of vendors, algorithms, and/or open source-based tools – to design and deliver this type of learning track.

 


Final reflections


The marketplaces involving education-related content and technologies will likely look different. There could be marketplaces for algorithms as well as for very granular learning modules. In fact, it could be that modularization will be huge by 2025, allowing digital learning playlists to be built by an SME, a Provost, and/or a Dean (in addition to the aforementioned employer or project team).  Any assistance that may be required by a learner will be provided either via technology (likely via an Artificial Intelligence (AI)-enabled resource) and/or via a SME.

We will likely either have moved away from using Learning Management Systems (LMSs) or those LMSs will allow for access to far larger, integrated learning ecosystems.

Functionality wise, collaboration tools will still be important, but they might be mind-blowing to us living in 2015.  For example, holographic-based communications could easily be commonplace by 2025. Where tools like IBM’s Watson, Microsoft’s Cortana, Google’s Deepmind, and Apple’s Siri end up in our future learning ecosystems is hard to tell, but will likely be there. New forms of Human Computer Interaction (HCI) such as Augmented Reality (AR) and Virtual Reality (VR) will likely be mainstream by 2025.

While the exact menu of learning options is unclear, what is clear is that change is here today and will likely be here tomorrow. Those willing to experiment, to adapt, and to change have a far greater likelihood of surviving and thriving in our future learning ecosystems.

 

What Learners Really Want — from clomedia.com by Todd Tauber
Listen to your learners: They want speed, diversity and adaptability in internal development programs.

Excerpt (emphasis DSC):

Everyone knows most learning happens beyond the classroom walls and outside learning management systems. But new research shows just how much — and the data are startling.

In the past year, learning technology company Degreed conducted two separate surveys that show workers spend four to five times more time on self-directed learning than on internal or external learning offerings. They invest more than 14 hours a month, on average, learning on their own but just two to three hours on employer-provided learning.

Those numbers should inform how and why development needs to evolve — urgently.

Learners want easier and faster access to answers. Degreed found almost 70 percent of workers say the first thing they do when they need to learn something for their jobs is Google it, then read or watch what they find. About 42 percent look for a live or online course, but they do it on their own. Fewer than 12 percent turn to their learning organization first.

Learning and development people do pretty much the same thing. They are “Googling it” too, and not just because it’s expedient. By a 3.5 to 1 margin, people believe self-directed learning is more effective in helping them succeed at work than taking part in company sponsored learning. These are mature adults. They have a good idea what they need.

Learners want to leverage the whole learning ecosystem. Informal learning initiatives should be valued because workers believe as much as 60 percent of the knowledge and skills they use on the job comes from informal learning.

 

 

From DSC:
I agree with Todd that this is where learning ecosystems come in.  Employees are trying to use a variety of tools and methods to tap into streams of up-do-date content.

To me, the charter of those involved with corporate training/development should be to help employees learn about the current set of tools available to them and how to use such tools. Then do the necessary research to give employees a place to begin using those tools — such as whom should a particular group of employees should follow on Twitter or Scoop.It, which websites/blogs are especially well done and applicable to their particular positions and area of expertise, etc.

The pace of change has changed and at times, it’s moving too fast to create formal learning materials.  We need to tap into streams of content. Perhaps those in corporate U’s could even be helping to curate and create the most beneficial streams of content for their employees in key strategic areas — and doing so using small, bite-sized chunks. They could recommend — and to some degree even provide — the platforms employees could use for self-directed learning. This self-directed learning wouldn’t be all alone though — each employee would be building and interacting with folks within their own Personal Learning Network (PLN); each person’s learning ecosystem would likely look different from others’ learning ecosystems.

 

 

streams-of-content-blue-overlay

 

 

Also relevant/see:

 

 

 

 

25 impact opportunities in U.S. K-12 education — by Getting Smart in partnership with Vulcan, Inc.

Excerpt:

With support from Vulcan Inc, a Paul Allen company, Getting Smart conducted a series of expert interviews with education and philanthropy leaders, and led a design workshop, to identify and vet impact investment strategies in U.S. K-12 education. This resulting report outlines opportunities where organizations can participate in making significant shifts in the American education landscape, ultimately improving student outcomes.

Through our research and interviews, approximately four dozen impact opportunities were identified in the following 10 categories and are described within the report:

  1. Student-Centered Learning
  2. New School Development
  3. Professional Learning & Development
  4. Next-Gen Assessment
  5. Entrepreneurship Education
  6. Portable Data & Parent Engagement
  7. Learning Resources
  8. Social-Emotional Learning
  9. Early Learning
  10. STEM, Coding & Computer Science

 

Also see:

EdTech 10: When impact potential is ripe — from gettingsmart.com

Excerpts:

1. Microschool, big impact. We’ve seen how microschools could, in most cities, accelerate the transition to next-gen learning. That’s why we were so excited to see AltSchool highlighted in a video on CBS News This Morning.

4. Mind the gap. Closing the Achievement at Three Virtual Academies, is a new report from K12 that highlights the progress of Texas Virtual Academy (leaders in Course Access in the Lone Star State), Arizona Virtual Academy, and Georgia Cyber Academy in creating opportunities for low-income students.

 

Shocker: 40% of workers now have ‘contingent’ jobs, says U.S. Government — from forbes.com by Elaine Pofeldt

Excerpt:

Tucked away in the pages of a new report by the U.S. Government Accountability Office is a startling statistic: 40.4% of the U.S. workforce is now made up of contingent workers—that is, people who don’t have what we traditionally consider secure jobs.

There is currently a lot of debate about how contingent workers should be defined. To arrive at the 40.4 %, which the workforce reached in 2010, the report counts the following types of workers as having the alternative work arrangements considered contingent. (The government did some rounding to arrive at its final number, so the numbers below add up to 40.2%).

  • Agency temps: (1.3%)
  • On-call workers (people called to work when needed): (3.5%)
  • Contract company workers (3.0%)
  • Independent contractors who provide a product or service and find their own customers (12.9%)
  • Self-employed workers such as shop and restaurant owners, etc. (3.3%)
  • Standard part-time workers (16.2%).

In contrast, in 2005, 30.6% of workers were contingent. The biggest growth has been among people with part time jobs. They made up just 11.9% of the labor force in 2005. That means there was a 36% increase in just five years.

 

In the future, employees won’t exist — from techcrunch.com by Tad Milbourn

Excerpt:

Contract work is becoming the new normal. Consider Uber: The ride-sharing startup has 160,000 contractors, but just 2,000 employees. That’s an astonishing ratio of 80 to 1. And when it comes to a focus on contract labor, Uber isn’t alone. Handy, Eaze and Luxe are just a few of the latest entrants into the “1099 Economy.”

Though they get the most attention, it’s not just on-demand companies that employ significant contract workforces. Microsoft has nearly two-thirds as many contractors as full-time employees. Even the simplest business structures, sole proprietorships, have increased their use of contract workers nearly two-fold since 2003.

 

 

The unsung heroes of the on-demand economy — from medium.com by Alex Chriss
We need to rethink the notion of entrepreneurship in the on-demand economy and build the tools and infrastructure to support the growing self-employed workforce.

Excerpt:

Enabled by the ubiquitous connectivity and power of smartphones, entrepreneurs are opening shops on Etsy, working as virtual assistants through oDesk, tackling neighborhood jobs on TaskRabbit, or driving on demand with Uber.

This new economy isn’t limited to low-paying gigs either. There are highly skilled professionals with advanced degrees from top 10 schools opting to work for themselves instead of a big firm. Consider the MBAs earning $100-$150 an hour through online consulting firm HourlyNerd or the lawyers making more than that on UpCounsel.

The Handy housecleaner and the UpCounsel attorney share a common characteristic: They’re a business of one.

This new wave of entrepreneurs — the self-employed workforce — is accelerating a broad trend we’ve been watching closely for nearly 10 years and started documenting in the year 2007 B.U. –before Uber.

They are part of the massive growth in the number of independent professionals. Full-time jobs with their corporate grab bag of benefits are becoming scarcer by the day. In the near future, working full time for a single company that offers little flexibility or work-life balance will become as outdated as the notion of staying with one company for your entire working life.

 

 

New survey: 40% of unemployed have “given up” — from prweb.com
Express Employment Professionals released the results [on May 20th, 2015] of its second annual in-depth poll, “The State of the Unemployed,” revealing that 40 percent of unemployed Americans agree to some extent that they have completely given up looking for work.

Excerpt:

Express Employment Professionals released the results [on May 20th, 2015] of its second annual in-depth poll, “The State of the Unemployed,” revealing that 40 percent of unemployed Americans agree to some extent that they have completely given up looking for work.

That figure, though high, represents a slight improvement from 2014, when 47 percent said they had given up.

The survey of 1,553 jobless Americans age 18 and older was conducted online by Harris Poll on behalf of Express Employment Professionals between April 7 and 29, 2015, and offers a rare look at the background and attitudes of the unemployed, their approach to the job hunt, who they blame for their current situation, and how they are holding up through tough times.

 

 

New self-learning systems will reduce reliance on humans during ramp-up — from wtvox.com by Aidan Russell

Excerpt:

Robots are cracking eggs and making ice cream sundaes. These aren’t just party tricks. The way robots learn to do complex tasks is changing and that has profound implications for the future of manufacturing.

The egg-cracking robot comes courtesy of researchers at the University of Maryland and NICTA, an information and computer technology research centre in Australia. Their robotic system learns processes by watching YouTube videos.

It’s not difficult to see how systems like this might be utilised to improve automated manufacturing or bring new automation systems to areas of production that haven’t seen much automation yet. An investment in a single robotic system capable of learning a variety of tasks without specialised programming would be attractive to small manufacturers that do short production runs, for example.

A bot that can learn from watching other people could also fine tune its own actions through trial and error, essentially learning from its mistakes. That’s what researchers at Lappeenranta University of Technology (LUT) in Finland had in mind when they developed a self-adjusting welding system.

 

 

Will humans go the way of horses? — from foreignaffairs.com by Erik Brynjolfsson and Andrew McAfee
Labor in the Second Machine Age

Our mental advantages might be even greater than our physical ones. While we’re clearly now inferior to computers at arithmetic and are getting outpaced in some types of pattern recognition—as evidenced by the triumph of Watson, an artificial-intelligence system created by IBM, over human Jeopardy! champions in 2011—we still have vastly better common sense. We’re also able to formulate goals and then work out how to achieve them. And although there are impressive examples of digital creativity and innovation, including machine-generated music and scientific hypotheses, humans are still better at coming up with useful new ideas in most domains.

It is extraordinarily difficult to get a clear picture of how broadly and quickly technology will encroach on human territory (and a review of past predictions should deter anyone from trying), but it seems unlikely that hardware, software, robots, and artificial intelligence will be able to take over from human labor within the next decade. It is even less likely that people will stop having economic wants that are explicitly interpersonal or social; these will remain, and they will continue to provide demand for human workers.

 

 

From DSC:
Stop right there! Hold on!  Those of us working in education or training need to be asking ourselves:

What do these MASSIVE trends mean for the way that we are educating, training, and preparing our learners and employees!?!? 

This is not our grandfathers’/grandmothers’ economy and way of life!  From here on out, people must be able to adapt, to pivot, to change — and they must be able to learn…continually and quickly. They need to be able to know where to go to find information and be able to sort through the content to find out what’s true and relevant. They need to know under what circumstances they learn best.

Finally, becoming familiar with futurism — looking down the pike to see what’s developing, building scenarios, etc. — is now wise counsel for a growing number of people.

 

 

2015SocialMediaImagesGuide

 

2015 Guide to Social Media Image Sizes – Infographic — from setupablogtoday.com by Jamie Spencer

Excerpt:

Get your social media platforms optimized with the right image sizes and stand out from the crowd. From Twitter and Pinterest to Instagram and Facebook image sizes, we have the complete guide right here in one clear infographic!

 

 

TwitterGraphics2015

 

 

Also see:

 

digital-social-mobile-2015

We Are Social’s comprehensive new report covers internet, social media and mobile usage statistics from all over the world. It contains more than 350 infographics, including global snapshots, regional overviews, and in-depth profiles of 30 of the world’s largest economies. For a more insightful analysis of these numbers, please visit http://wearesocial.sg/blog/2015/01/digital-social-mobile-2015/.

 
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