We Need to Help Our Students Build Solid Online-Based Footprints
I used a tool called VideoScribe to create this piece. The video relays how important it is that our students have solid, sharp, online-based footprints.
On 11/29/2017,
in 21st century, adjunct faculty, blended learning, change, colleges, community colleges, content development, aggregation, repositories, data related items, digital learning, education technology, face-to-face, faculty, flipping -- inverted learning, hybrid learning, leadership, learning, liberal arts, online learning, pedagogy, personalized/customized learning, platforms, simulations, strategy, technology (general), using teams, vendors, vision/possibilities,
by Daniel Christian
High-Tech, High Touch: Digital Learning Report and Workbook, 2017 Edition — from Intentional Futures, with thanks to Maria Andersen on Linkedin for her posting therein which was entitled, “Spectrums to Measure Digital Learning”
Excerpt (emphasis DSC):
Our work uncovered five high-tech strategies employed by institutions that have successfully implemented digital learning at scale across a range of modalities. The strategies that underscore the high-tech, high-touch connection are customizing through technology, leveraging adaptive courseware, adopting cost-efficient resources, centralizing course development and making data-driven decisions.
Although many of the institutions we studied are employing more than one of these strategies, in this report we have grouped the institutional use cases according to the strategy that has been most critical to achieving digital learning at scale. As institutional leaders make their way through this document, they should watch for strategies that target challenges similar to those they hope to solve. Reading the corresponding case studies will unpack how institutions employed these strategies effectively.
…
Digital learning in higher education is becoming more ubiquitous as institutions realize its ability to support student success and empower faculty. Growing diversity in student demographics has brought related changes in student needs, prompting institutions to look to technology to better serve their students. Digital courseware gives institutions the ability to build personalized, accessible and engaging content. It enables educators to provide relevant content and interventions for individual students, improve instructional techniques based on data and distribute knowledge to a wider audience (MIT Office of Digital Learning, 2017).
PARTICIPATION IN DIGITAL LEARNING IS GROWING
Nationally, the number of students engaged in digital learning is growing rapidly. One driver of this growth is rising demand for distance learning, which often relies on digital learning environments. Distance learning programs saw enrollment increases of approximately 4% between 2015 and 2016, with nearly 30% of higher education students taking at least one digital distance learning course (Allen, 2017). Much of this growth is occurring at the undergraduate level (Allen, 2017). The number of students who take distance learning courses exclusively is growing as well. Between 2012 and 2015, both public and private nonprofit institutions saw an increase in students taking only distance courses, although private, for-profit institutions have seen a decrease (Allen, 2017).
On 11/28/2017,
in 21st century, 3D, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Blockchain, colleges, community colleges, credentialing, dangers of the status quo, Daniel S. Christian, digital video, e-books, e-publishing related items (EPUB and more), education technology, educational games / serious games, emerging technologies, future, future of higher education, game-changing environment, higher education, ideas, innovation, leadership, learning ecosystem, mobile learning, mobile technologies, MOOCs -- Massive Open Online Courses, multimedia, online learning, open courseware and systems, pace of change, social learning / networks, social media, strategy, tools, trends, universities, Virtual Reality (VR) / worlds / learning, vision/possibilities,
by Daniel Christian
How to be an ed tech futurist — from campustechnology.com by Bryan Alexander
While no one can predict the future, these forecasting methods will help you anticipate trends and spur more collaborative thinking.
Excerpts:
Some of the forecasting methods Bryan mentions are:
- Trend analysis
- Environmental scanning
- Scenarios
- Science fiction
From DSC:
I greatly appreciate the work that Bryan does — the topics that he chooses to write about, his analyses, comments, and questions are often thought-provoking. I couldn’t agree more with Bryan’s assertion that forecasting needs to become more realized/practiced within higher education. This is especially true given the exponential rate of change that many societies throughout the globe are now experiencing.
We need to be pulse-checking a variety of landscapes out there, to identify and put significant trends, forces, and emerging technologies on our radars. The strategy of identifying potential scenarios – and then developing responses to those potential scenarios — is very wise.
On 11/28/2017,
in adjunct faculty, adult learning, assessment, colleges, community colleges, corporate universities / corporate training, Daniel S. Christian, faculty, higher education, ideas, instructional design, learning, learning ecosystem, learning theories, pedagogy, psychology, strategy, streams of content, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online, training / L&D, youth,
by Daniel Christian
From DSC:
I’m posting this in an effort to:
- Help students learn how to learn
- Help students achieve the greatest possible returns on their investments (both their $$ and their time) when they are trying to learn about new things
I’d like to thank Mr. William Knapp, Executive Director at GRCC for Distance Learning & Instructional Technology, for sharing this resource on Twitter.
A better way to study through self-testing and distributed practice — from kqed.org
Excerpts (emphasis DSC):
As I prepared to write this column, I relied on some pretty typical study techniques. First, as I’ve done since my student days, I generously highlighted key information in my background reading. Along the way, I took notes, many of them verbatim, which is a snap with digital copying and pasting. (Gotta love that command-C, command-V.) Then I reread my notes and highlights. Sound familiar? Students everywhere embrace these techniques and yet, as it turns out, they are not particularly good ways to absorb new material. At least not if that’s all you do.
Researchers have devoted decades to studying how to study. The research literature is frankly overwhelming. Luckily for all of us, the journal Psychological Science in the Public Interest published a review article a few years ago that remains the most comprehensive guide out there. Its 47 pages hold valuable lessons for learners of any age and any subject — especially now, with end-of-semester exams looming.
The authors examined ten different study techniques, including highlighting, rereading, taking practice tests, writing summaries, explaining the content to yourself or another person and using mnemonic devices. They drew on the results of nearly 400 prior studies. Then, in an act of boldness not often seen in academic research, they actually awarded ratings: high, low or moderate utility.
The study strategies that missed the top rating weren’t necessarily ineffective, explains the lead author John Dunlosky, a psychology professor at Kent State University, but they lacked sufficient evidence of efficacy, or were proven useful only in certain areas of study or with certain types of students. “We were trying to find strategies that have a broad impact across all domains for all students,” Dunlosky says, “so it was a pretty tough rating scale.”
In fact, only two techniques got the top rating: practice testing and “distributed practice,” which means scheduling study activities over a period of time — the opposite of cramming.
Practice testing can take many forms: flashcards, answering questions at the end of a textbook chapter, tackling review quizzes online. Research shows it works well for students from preschool through graduate and professional education.
Testing yourself works because you have to make the effort to pull information from your memory — something we don’t do when we merely review our notes or reread the textbook.
…
As for distributed practice vs. cramming, Dunlosky and his fellow authors write that “cramming is better than not studying at all,” but if you are going to devote four or five hours to studying for your biology mid-term, you would you be far better off spacing them out over a several days or weeks. “You get much more bang for your buck if you space,” Dunlosky told me.
Also see:
Improving Students’ Learning With Effective Learning Techniques — from journals.sagepub.com by John Dunlosky, Katherine A. Rawson, Elizabeth J. Marsh, Mitchell J. Nathan, and Daniel T. Willingham
Promising Directions From Cognitive and Educational Psychology
Excerpt:
In this monograph, we discuss 10 learning techniques in detail and offer recommendations about their relative utility. We selected techniques that were expected to be relatively easy to use and hence could be adopted by many students. Also, some techniques (e.g., highlighting and rereading) were selected because students report relying heavily on them, which makes it especially important to examine how well they work. The techniques include elaborative interrogation, self-explanation, summarization, highlighting (or underlining), the keyword mnemonic, imagery use for text learning, rereading, practice testing, distributed practice, and interleaved practice.
In fact, only two techniques got the top rating: practice testing and “distributed practice,” which means scheduling study activities over a period of time — the opposite of cramming.
From DSC:
This is yet another reason that I like the approach of using streams of content to help people learn something new. Because you can implement distributed practice, encourage recall, etc. when you put the content out there at regular intervals.
On 11/28/2017,
in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, human-computer interaction (HCI), innovation, legislatures / government / legal, strategy, vendors, vision/possibilities,
by Daniel Christian
How artificial intelligence could transform government — from Deloitte University Press
Cognitive technologies have the potential to revolutionize the public sector—and save billions of dollars
Excerpt:
The rise of more sophisticated cognitive technologies is, of course, critical to that third era, aiding advances in several categories:
- Rules-based systems capture and use experts’ knowledge to provide answers to tricky but routine problems. As this decades-old form of AI grows more sophisticated, users may forget they aren’t conversing with a real person.
- Speech recognition transcribes human speech automatically and accurately. The technology is improving as machines collect more examples of conversation. This has obvious value for dictation, phone assistance, and much more.
- Machine translation, as the name indicates, translates text or speech from one language to another. Significant advances have been made in this field in only the past year.8 Machine translation has obvious implications for international relations, defense, and intelligence as well as, in our multilingual society, numerous domestic applications.
- Computer vision is the ability to identify objects, scenes, and activities in naturally occurring images. It’s how Facebook sorts millions of users’ photos, but it can also scan medical images for indications of disease and identify criminals from surveillance footage. Soon it will allow law enforcement to quickly scan license plate numbers of vehicles stopped at red lights, identifying suspects’ cars in real time.
- Machine learning takes place without explicit programming. By trial and error, computers learn how to learn, mining information to discover patterns in data that can help predict future events. The larger the datasets, the easier it is to accurately gauge normal or abnormal behavior. When your email program flags a message as spam, or your credit card company warns you of a potentially fraudulent use of your card, machine learning may be involved. Deep learning is a branch of machine learning involving artificial neural networks inspired by the brain’s structure and function.9
- Robotics is the creation and use of machines to perform automated physical functions. The integration of cognitive technologies such as computer vision with sensors and other sophisticated hardware has given rise to a new generation of robots that can work alongside people and perform many tasks in unpredictable environments. Examples include drones, robots used for disaster response, and robot assistants in home health care.
- Natural language processing refers to the complex and difficult task of organizing and understanding language in a human way. This goes far beyond interpreting search queries, or translating between Mandarin and English text. Combined with machine learning, a system can scan websites for discussions of specific topics even if the user didn’t input precise search terms. Computers can identify all the people and places mentioned in a document or extract terms and conditions from contracts. As with all AI-enabled technology, these become smarter as they consume more accurate data—and as developers integrate complementary technologies such as machine translation and natural language processing.
…
We’ve developed a framework that can help government agencies assess their own opportunities for deploying these technologies. It involves examining business processes, services, and programs to find where cognitive technologies may be viable, valuable, or even vital. Figure 8 summarizes this “Three Vs” framework. Government agencies can use it to screen the best opportunities for automation or cognitive technologies.
On 11/13/2017,
in 21st century, 24x7x365 access, active learning, adult learning, Amazon, Apple, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, Australia, bots, business, Canada, career development, change, collaboration, colleges, community colleges, corporate / business world, corporate universities / corporate training, credentialing, dangers of the status quo, Daniel S. Christian, data related items, digital learning, disruption, education reform, education technology, emerging technologies, Europe, Facebook / Meta Platforms, future, future of higher education, game-changing environment, global / globalization, Google, heutagogy, higher education, human-computer interaction (HCI), IBM, ideas, innovation, intelligent systems, intelligent tutoring, internet, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, legislatures / government / legal, lifelong learning, microlearning, Microsoft, more voice more choice more control, New "Amazon.com" of Higher Education, online learning, organizational change, pace of change, platforms, professional development, reinvent, research, robotics, second screen apps, society, staying relevant, strategy, streams of content, surviving, technologies for your home, the downsides of how people use tech, training / L&D, trends, UK, United States, universities, vendors, vision/possibilities, web-based collaboration, workplace,
by Daniel Christian
Forrester predicts that AI-enabled automation will eliminate 9% of US jobs in 2018 — from forbes.com by Gil Press
Excerpt (emphasis DSC):
A new Forrester Research report, Predictions 2018: Automation Alters The Global Workforce, outlines 10 predictions about the impact of AI and automation on jobs, work processes and tasks, business success and failure, and software development, cybersecurity, and regulatory compliance.
We will see a surge in white-collar automation, half a million new digital workers (bots) in the US, and a shift from manual to automated IT and data management. “Companies that master automation will dominate their industries,” Forrester says. Here’s my summary of what Forrester predicts will be the impact of automation in 2018:
Automation will eliminate 9% of US jobs but will create 2% more.
In 2018, 9% of US jobs will be lost to automation, partly offset by a 2% growth in jobs supporting the “automation economy.” Specifically impacted will be back-office and administrative, sales, and call center employees. A wide range of technologies, from robotic process automation and AI to customer self-service and physical robots will impact hiring and staffing strategies as well as create a need for new skills.
Your next entry-level compliance staffer will be a robot.
From DSC:
Are we ready for a net loss of 7% of jobs in our workforce due to automation — *next year*? Last I checked, it was November 2017, and 2018 will be here before we know it.
***Are we ready for this?! ***
AS OF TODAY, can we reinvent ourselves fast enough given our current educational systems, offerings, infrastructures, and methods of learning?
My answer: No, we can’t. But we need to be able to — and very soon!
There are all kinds of major issues and ramifications when people lose their jobs — especially this many people and jobs! The ripple effects will be enormous and very negative unless we introduce new ways for how people can learn new things — and quickly!
That’s why I’m big on trying to establish a next generation learning platform, such as the one that I’ve been tracking and proposing out at Learning from the Living [Class] Room. It’s meant to provide societies around the globe with a powerful, next generation learning platform — one that can help people reinvent themselves quickly, cost-effectively, conveniently, & consistently! It involves providing, relevant, up-to-date streams of content that people can subscribe to — and drop at any time. It involves working in conjunction with subject matter experts who work with teams of specialists, backed up by suites of powerful technologies. It involves learning with others, at any time, from any place, at any pace. It involves more choice, more control. It involves blockchain-based technologies to feed cloud-based learner profiles and more.
But likely, bringing such a vision to fruition will require a significant amount of collaboration. In my mind, some of the organizations that should be at the table here include:
- Some of the largest players in the tech world, such as Amazon, Google, Apple, IBM, Microsoft, and/or Facebook
- Some of the vendors that already operate within the higher ed space — such as Salesforce.com, Ellucian, and/or Blackboard
- Some of the most innovative institutions of higher education — including their faculty members, instructional technologists, instructional designers, members of administration, librarians, A/V specialists, and more
- The U.S. Federal Government — for additional funding and the development of policies to make this vision a reality
![The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV](http://danielschristian.com/learning-ecosystems/wp-content/uploads/2012/07/The-Living-Class-Room-Daniel-S-Christian-July-2012.jpg)
On 11/08/2017,
in 21st century, 24x7x365 access, 3D, A/V -- audio/visual, adult learning, analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), bots, business, career development, change, changing business models, collaboration, colleges, communications, communities of practice, community colleges, computer science, corporate / business world, digital audio, digital learning, digital textbooks, education, education technology, elearning, emerging technologies, engineering, future, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, interactivity, internet, journalism, leadership, learning, learning ecosystem, legislatures / government / legal, lifelong learning, machine-to-machine communications, media/film, microlearning, Natural Language Processing (NLP), new media literacies, online learning, organizational change, pace of change, personalized/customized learning, platforms, podcasting, political science, social learning / networks, society, staying relevant, strategy, student-related, technologies for your home, technology (general), tools, trends, universities, user experience (UX), Virtual Reality (VR) / worlds / learning, vision/possibilities, visualizing information, voice recognition / voice enabled interfaces, workplace,
by Daniel Christian
2018 Tech Trends For Journalism Report — from the Future Today Institute
Key Takeaways
- 2018 marks the beginning of the end of smartphones in the world’s largest economies. What’s coming next are conversational interfaces with zero-UIs. This will radically change the media landscape, and now is the best time to start thinking through future scenarios.
- In 2018, a critical mass of emerging technologies will converge finding advanced uses beyond initial testing and applied research. That’s a signal worth paying attention to. News organizations should devote attention to emerging trends in voice interfaces, the decentralization of content, mixed reality, new types of search, and hardware (such as CubeSats and smart cameras).
- Journalists need to understand what artificial intelligence is, what it is not, and what it means for the future of news. AI research has advanced enough that it is now a core component of our work at FTI. You will see the AI ecosystem represented in many of the trends in this report, and it is vitally important that all decision-makers within news organizations familiarize themselves with the current and emerging AI landscapes. We have included an AI Primer For Journalists in our Trend Report this year to aid in that effort.
- Decentralization emerged as a key theme for 2018. Among the companies and organizations FTI covers, we discovered a new emphasis on restricted peer-to-peer networks to detect harassment, share resources and connect with sources. There is also a push by some democratic governments around the world to divide internet access and to restrict certain content, effectively creating dozens of “splinternets.”
- Consolidation is also a key theme for 2018. News brands, broadcast spectrum, and artificial intelligence startups will continue to be merged with and acquired by relatively few corporations. Pending legislation and policy in the U.S., E.U. and in parts of Asia could further concentrate the power among a small cadre of information and technology organizations in the year ahead.
- To understand the future of news, you must pay attention to the future of many industries and research areas in the coming year. When journalists think about the future, they should broaden the usual scope to consider developments from myriad other fields also participating in the knowledge economy. Technology begets technology. We are witnessing an explosion in slow motion.
Those in the news ecosystem should factor the trends in this report into their strategic thinking for the coming year, and adjust their planning, operations and business models accordingly.
2017 Tech Trends Annual Report — from the Future Today Institute; this is the first I’ve seen this solid report
Excerpts:
This year’s report has 159 trends.
This is mostly due to the fact that 2016 was the year that many areas of science and technology finally started to converge. As a result we’re seeing a sort of slow-motion explosion––we will undoubtedly look back on the last part of this decade as a pivotal moment in our history on this planet.
…
Our 2017 Trend Report reveals strategic opportunities and challenges for your organization in the coming year. The Future Today Institute’s annual Trend Report prepares leaders and organizations for the year ahead, so that you are better positioned to see emerging technology and adjust your strategy accordingly. Use our report to identify near-future business disruption and competitive threats while simultaneously finding new collaborators and partners. Most importantly, use our report as a jumping off point for deeper strategic planning.
Also see:
Emerging eLearning Tools and Platforms Improve Results — from learningsolutionsmag.com
- Augmented and virtual reality offer ways to immerse learners in experiences that can aid training in processes and procedures, provide realistic simulations to deepen empathy and build communication skills, or provide in-the-workflow support for skilled technicians performing complex procedures.
- Badges and other digital credentials provide new ways to assess and validate employees’ skills and mark their eLearning achievements, even if their learning takes place informally or outside of the corporate framework.
- Chatbots are proving an excellent tool for spaced learning, review of course materials, guiding new hires through onboarding, and supporting new managers with coaching and tips.
- Content curation enables L&D professionals to provide information and educational materials from trusted sources that can deepen learners’ knowledge and help them build skills.
- eBooks, a relative newcomer to the eLearning arena, offer rich features for portable on-demand content that learners can explore, review, and revisit as needed.
- Interactive videos provide branching scenarios, quiz learners on newly introduced concepts and terms, offer prompts for small-group discussions, and do much more to engage learners.
- Podcasts can turn drive time into productive time, allowing learners to enjoy a story built around eLearning content.
- Smartphone apps, available wherever learners take their phones or tablets, can be designed to offer product support, info for sales personnel, up-to-date information for repair technicians, and games and drills for teaching and reviewing content; the possibilities are limited only by designers’ imagination.
- Social platforms like Slack, Yammer, or Instagram facilitate collaboration, sharing of ideas, networking, and social learning. Adopting social learning platforms encourages learners to develop their skills and contribute to their communities of practice, whether inside their companies or more broadly.
- xAPI turns any experience into a learning experience. Adding xAPI capability to any suitable tool or platform means you can record learner activity and progress in a learning record store (LRS) and track it.
DevLearn Attendees Learn How to ‘Think Like a Futurist’ — from learningsolutionsmag.com
Excerpt:
How does all of this relate to eLearning? Again, Webb anticipated the question. Her response gave hope to some—and terrified others. She presented three possible future scenarios:
- Everyone in the learning arena learns to recognize weak signals; they work with technologists to refine artificial intelligence to instill values. Future machines learn not only to identify correct and incorrect answers; they also learn right and wrong. Webb said that she gives this optimistic scenario a 25 percent chance of occurring.
- Everyone present is inspired by her talk but they, and the rest of the learning world, do nothing. Artificial intelligence continues to develop as it has in the past, learning to identify correct answers but lacking values. Webb’s prediction is that this pragmatic optimistic scenario has a 50 percent chance of occurring.
- Learning and artificial intelligence continue to develop on separate tracks. Future artificial intelligence and machine learning projects incorporate real biases that affect what and how people learn and how knowledge is transferred. Webb said that she gives this catastrophic scenario a 25 percent chance of occurring.
In an attempt to end on a strong positive note, Webb said that “the future hasn’t happened yet—we think” and encouraged attendees to take action. “To build the future of learning that you want, listen to weak signals now.”
On 11/03/2017,
in 21st century, business side of he, career development, change, colleges, community colleges, Daniel S. Christian, data related items, digital learning, education technology, expectations, higher education, ideas, innovation, leadership, online learning, pace of change, personalized/customized learning, platforms, society, staying relevant, strategy, student-related, teaching & learning, trends, universities, vendors,
by Daniel Christian
Nearly all prospective students want a tech-savvy institution — from campustechnology.com by Joshua Bolkan
Excerpt:
Nearly nine in 10 college students — 87 percent — said it was important to them that the institutions they applied for were technologically savvy, according to a new survey from ed tech provider Ellucian.
The report, “Students Are Looking for Personalized Digital Experiences: Do Colleges Deliver?” is based on responses of 1,000 students, including 265 from two-year institutions and 735 from four-year schools, who were invited to take the survey online via email.
More than half of students surveyed, 58 percent, said that of all the companies and institutions they engage with, their college is the one least likely to have personalized their experience.
Also see:
From DSC:
With our students using Uber, Lyft, AirBnB, and other such personalized services from Amazon.com and others, expectations are now being impacted. That is, what they expect in terms of their learning experiences are being influenced from other areas of their every day lives. This impacts credibility, which impacts enrollments.
As Ellucian asserts:
For those who would minimize or outright discard the impacts that technologies have on higher education, or the impacts of — and relevance of — technologies within higher education, how are you going to deal with this tidal wave?
On 10/18/2017,
in business, career development, change, colleges, community colleges, corporate / business world, curriculum, dangers of the status quo, Daniel S. Christian, education reform, entrepreneurship, future, future of higher education, game-changing environment, generational differences, higher education, society, staying relevant, strategy, student-related, surviving, technology (general), trends, United States, universities, vendors, workplace, youth,
by Daniel Christian
Freelancers predicted to become the U.S. workforce majority within a decade, with nearly 50% of millennial workers already freelancing, annual “Freelancing in America” study finds — from globenewswire.com, by Upwork and Freelancers Union
Freelance workforce growth is accelerating and has outpaced overall U.S. workforce growth by 3x since 2014
Work is changing rapidly, FIA finds, due to the impacts of automation, and freelancers are better equipped for the future due to more frequent reskilling
Excerpt:
NEW YORK and MOUNTAIN VIEW, Calif., Oct. 17, 2017 (GLOBE NEWSWIRE) — Upwork and Freelancers Union today released the results of “Freelancing in America: 2017” (FIA), the most comprehensive measure of the U.S. independent workforce. The fourth annual study estimates that 57.3 million Americans are freelancing (36 percent of the U.S. workforce) and contribute approximately $1.4 trillion annually to the economy, an increase of almost 30% since last year. Full study results are available here.
Most notable findings reveal:
- Freelancers are better prepared for the future – As work changes, 54 percent of the U.S. workforce said they’re not very confident that work they do will exist in 20 years. Reskilling is therefore critical. 55 percent of freelancers participated in skill-related education in the last six months versus only 30 percent of non-freelancers.
- The majority of the U.S. workforce will soon freelance – At its current growth rate, we will reach this milestone by 2027.
- People are increasingly freelancing by choice – Asked whether they started freelancing more by choice or necessity, 63 percent of freelancers said by choice — up 10 points (from 53 percent) since 2014.
- Stability is being redefined – Freelancers increasingly think that having a diversified portfolio of clients is more secure than one employer (63 percent agree, up 10 points since 2016) and have an average of 4.5 clients per month.
- While finances are a challenge for all, freelancers experience a unique concern — income predictability. The study found that, with the ebbs and flows of freelancing, full-time freelancers dip into savings more often (63 percent at least once per month versus 20 percent of full-time non-freelancers).
Also see the study at:
From DSC:
Seriously folks, what does this mean for our curriculum?
On 10/18/2017,
in 21st century, adult learning, analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, career development, change, changing business models, colleges, community colleges, dangers of the status quo, Daniel S. Christian, education reform, experimentation, higher education, ideas, innovation, internet, learning, lifelong learning, mobile technologies, organizational change, pace of change, reinvent, robotics, society, staying relevant, strategy, surviving, technology (general), training / L&D, trends, United States, universities, vision/possibilities, wearables, workplace,
by Daniel Christian
From DSC:
Some of the largest waves of change that are hitting the beaches of numerous societies throughout the globe are coming from technological changes such as:
- Artificial intelligence (which includes things like machine learning, deep learning, natural language processing, personal assistants, bots, algorithms, and the like)
- Big data and analytics
- Robotics
- The digital transformation of businesses
- New forms of human computer interaction such as virtual reality, augmented reality and mixed reality
- Mobile computing
- Cloud computing
- The Internet of Things
- Wearables
- …and more
But in all of these developments, what is common amongst them is that the pace of change has changed. It’s much faster now. In fact, we are no longer on a linear path of slow, steady, incremental changes. We are now on an exponential trajectory – or pace – of change.
This new pace of change is starting to have profound implications for societies, individuals, institutions of higher education, and workforces throughout the globe. Some of these ramifications include:
- Profound modifications to the existing workforce; in some cases, staff reductions
- New fields, new positions
- New skillsets that require highly-educated individuals as well as a massive amount of additional training for existing employees
- New methods of learning and the requirement for lifelong, constant learning from here on out
- The need to become more responsive and nimble
- The need to pulse-check a variety of landscapes to ascertain the best potential strategies to pursue (in light of the potential upcoming scenarios)
Yet the changes aren’t just arising from technological changes. For institutions of higher education, there have been other areas of change that bring with them significant impact, such as:
- Decreases in state funding
- The increasing costs of healthcare and benefits for faculty, staff, and administrators
- Headwinds from demographic-related declines (depending upon one’s geographic location)
- Aging facilities and infrastructures
- …and more.
Navigating these rough waters is not easy. But the key questions now are:
- Is your institution poised to ride the waves of change or is it about to get crushed by these same waves?
- Is someone at your organization looking out for these oncoming waves?
That is, is someone pulse-checking a variety of landscapes to ascertain the trends that are developing, trends that could significantly impact your institution and/or your students?
- What are some of the ways that your organization could respond to these waves of change to positively impact the following parties?
- Your organization
What new programs could be offered at your institution? How is the level of responsiveness at your institution to these changes? - Your students
Many jobs that your students will have in their futures haven’t even been invented yet. How can you best develop them to be ready for the new, exponential pace of change? How are you helping your graduates who (increasingly) need to come back to your institution and reinvent themselves – quickly, conveniently, and cost-effectively? - Your employees
Given all of this change, the professional growth of your own faculty members, staff, and members of your administration is extremely important. How are you looking after their growth?
- Your organization
- Would you use the word “innovative” to describe the culture of your organization? That is, is your institution willing to experiment and take some calculated risks? To take no action or risks in the current environment is likely the biggest risk of all.
On 10/18/2017,
in 21st century, adult learning, Amazon, analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), Blockchain, bots, business, business side of he, career development, change, colleges, community colleges, consortiums, dangers of the status quo, Daniel S. Christian, data related items, digital learning, distance education, education reform, elearning, emerging technologies, expectations, experimentation, future, future of higher education, game-changing environment, global / globalization, higher education, human-computer interaction (HCI), ideas, innovation, interaction design, interface design, internet, leadership, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, machine-to-machine communications, Michigan, Mixed Reality (MR), online learning, organizational change, pace of change, parents/guardians, personalized/customized learning, platforms, real-world assignments, reinvent, society, staying relevant, strategy, streams of content, student-related, surviving, technology (general), traditional / tradition, trends, United States, universities, user experience (UX), user interface design, Virtual Reality (VR) / worlds / learning, vision/possibilities,
by Daniel Christian
From DSC:
In Part I, I looked at the new, exponential pace of change that colleges, community colleges and universities now need to deal with – observing the enormous changes that are starting to occur throughout numerous societies around the globe. If we were to plot out the rate of change, we would see that we are no longer on a slow, steady, incremental type of linear pathway; but, instead, we would observe that we are now on an exponential trajectory (as the below graphic from sparks & honey very nicely illustrates).
How should colleges and universities deal with this new, exponential pace of change?
1) I suggest that you ensure that someone in your institution is lifting their gaze and peering out into the horizons, to see what’s coming down the pike. That person – or more ideally, persons – should also be looking around them, noticing what’s going on within the current landscapes of higher education. Regardless of how your institution tackles this task, given that we are currently moving at an incredibly fast pace, this trend analysis is very important. The results from this analysis should immediately be integrated into your strategic plan. Don’t wait 3-5 years to integrate these new findings into your plan. The new, exponential pace of change is going to reward those organizations who are nimble and responsive.
2) I recommend that you look at what programs you are offering and consider if you should be developing additional programs such as those that deal with:
- Artificial Intelligence (Natural Language Processing, deep learning, machine learning, bots)
- New forms of Human Computer Interaction such as Augmented Reality, Virtual Reality, and Mixed Reality
- User Experience Design, User Interface Design, and/or Interaction Design
- Big data, data science, working with data
- The Internet of Things, machine-to-machine communications, sensors, beacons, etc.
- Blockchain-based technologies/systems
- The digital transformation of business
- Freelancing / owning your own business / entrepreneurship (see this article for the massive changes happening now!)
- …and more
3) If you are not already doing so, I recommend that you immediately move to offer a robust lineup of online-based programs. Why do I say this? Because:
- Without them, your institution may pay a heavy price due to its diminishing credibility. Your enrollments could decline if learners (and their families) don’t think they will get solid jobs coming out of your institution. If the public perceives you as a dinosaur/out of touch with what the workplace requires, your enrollment/admissions groups may find meeting their quotas will get a lot harder as the years go on. You need to be sending some cars down the online/digital/virtual learning tracks. (Don’t get me wrong. We still need the liberal arts. However, even those institutions who offer liberal arts lineups will still need to have a healthy offering of online-based programs.)
- Online-based learning methods can expand the reach of your faculty members while offering chances for individuals throughout the globe to learn from you, and you from them
- Online-based learning programs can increase your enrollments, create new revenue streams, and develop/reach new markets
- Online-based learning programs have been proven to offer the same learning gains – and sometimes better learning results than – what’s being achieved in face-to-face based classrooms
- The majority of pedagogically-related innovations are occurring within the online/digital/virtual realm, and you will want to have built the prior experience, expertise, and foundations in order to leverage and benefit from them
- Faculty take their learning/experiences from offering online-based courses back into their face-to-face courses
- Due to the increasing price of obtaining a degree, students often need to work to help get them (at least part of the way) through school; thus, flexibility is becoming increasingly important and necessary for students
- An increasing number of individuals within the K-12 world as well as the corporate world are learning via online-based means. This is true within higher education as well, as, according to a recent report from Digital Learning Compass states that “the number of higher education students taking at least one distance education course in 2015 now tops six million, about 30% of all enrollments.”
- Families are looking very closely at their return on investments being made within the world of higher education. They want to see that their learners are being prepared for the ever-changing future that they will encounter. If people in the workforce often learn online, then current students should be getting practice in that area of their learning ecosystems as well.
- As the (mostly) online-based Amazon.com is thriving and retail institutions such as Sears continue to close, people are in the process of forming more generalized expectations that could easily cross over into the realm of higher education. By the way, here’s how our local Sears building is looking these days…or what’s left of it.
4) I recommend that you move towards offering more opportunities for lifelong learning, as learners need to constantly add to their skillsets and knowledge base in order to remain marketable in today’s workforce. This is where adults greatly appreciate – and need – the greater flexibility offered by online-based means of learning. I’m not just talking about graduate programs or continuing studies types of programs here. Rather, I’m hoping that we can move towards providing streams of up-to-date content that learners can subscribe to at any time (and can drop their subscription to at any time). As a relevant side note here, keep your eyes on blockchain-based technologies here.
5) Consider the role of consortia and pooling resources. How might that fit into your strategic plan?
6) Consider why bootcamps continue to come onto the landscape. What are traditional institutions of higher education missing here?
7) And lastly, if one doesn’t already exist, form a small, nimble, innovative group within your organization — what I call a TrimTab Group — to help identify what will and won’t work for your institution.
On 10/13/2017,
in 21st century, 24x7x365 access, A/V -- audio/visual, business, career development, corporate / business world, corporate universities / corporate training, human-computer interaction (HCI), ideas, interactivity, learning, learning ecosystem, productivity / tips and tricks, strategy, tools, training / L&D, user experience (UX), Virtual Reality (VR) / worlds / learning, workplace,
by Daniel Christian
Virtual Reality: A Great Fit for Employee Onboarding — from trainingindustry.com by Andrew Woodberry
Excerpts:
For jobs that are particularly dangerous or high-stress, introducing employees to the environment through virtual reality is a smart approach. In recent years, companies have created realistic VR applications that they have used to train people from surgeons to firefighters. Virtual reality gives new employees as close an approximation to their new workplace as they can have without actually needing to be physically present. The exposure to the simulated high-stress environment should, theoretically, make the VR users more comfortable when they actually face the real-world equivalent.
Tips for Adding VR to Onboarding
- Start with shorter VR onboarding videos.
- Add interactivity to generate a more memorable training experience.
- Measure the effectiveness of VR onboarding.
From DSC:
I appreciated that the article included the following sentence: “For industries without a lot of change, the VR training modules can be used for numerous years.” This hints at the need to start small and be sure that your content won’t be changing all the time. If it does, VR may not be a good fit. It’s at least something to consider — along with the costs of the hardware to review/experience the training-related content (which are changing all of the time these days…and will likely continue to change for a while yet).
On 10/11/2017,
in 21st century, analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Blockchain, bots, business, career development, change, changing business models, communications, computer science, corporate / business world, emerging technologies, future, game-changing environment, human-computer interaction (HCI), ideas, immersion, innovation, intelligent systems, internet, IT in HE, machine-to-machine communications, Mixed Reality (MR), platforms, programming, research, society, strategy, technology (general), tools, trends, user experience (UX), vendors, Virtual Reality (VR) / worlds / learning, voice recognition / voice enabled interfaces,
by Daniel Christian
Top 10 Strategic Technology Trends for 2018 — from Gartner Research
Summary
- The intelligent digital mesh is a foundation for future digital business and its ecosystems. To create competitive advantage, enterprise architecture and technology innovation leaders must evaluate these top trends to identify opportunities that their organizations can exploit.
Key Findings
- Artificial intelligence (AI) delivers value to every industry, enabling new business models. It does so by supporting key initiatives such as customer engagement, digital production, smart cities, self-driving cars, risk management, computer vision and speech recognition.
- As people, places, processes and “things” become increasingly digitalized, they will be represented by digital twins. This will provide fertile ground for new event-driven business processes and digitally enabled business models and ecosystems.
- The way we interact with technology will undergo a radical transformation over the next five to 10 years. Conversational platforms, augmented reality, virtual reality and mixed reality will provide more natural and immersive interactions with the digital world.
- A digital business is event-centric, which means it must be continuously sensing and adapting. The same applies to the security and risk infrastructure that supports it, which must focus on deceiving potential intruders and predicting security events.
Table of Contents
Analysis
Trend No. 1: AI Foundation
Today’s AI Is Narrow AI
Trend No. 2: Intelligent Apps and Analytics
Augmented Analytics Will Enable Users to Spend More Time Acting on Insights
Trend No. 3: Intelligent Things
Swarms of Intelligent Things Will Work Together
Trend No. 4: Digital Twins
Digital Twins Will Be Linked to Other Digital Entities
Trend No. 5: Cloud to the Edge
Edge Computing Brings Distributed Computing Into the Cloud Style
Trend No. 6: Conversational Platforms
Integration With Third-Party Services Will Further Increase Usefulness
Trend No. 7: Immersive Experience
VR and AR Can Help Increase Productivity
Trend No. 8: Blockchain
Blockchain Offers Significant Potential Long-Term Benefits Despite Its Challenges
Trend No. 9: Event-Driven Model
Events Will Become More Important in the Intelligent Digital Mesh
Trend No. 10: Continuous Adaptive Risk and Trust
Barriers Must Come Down Between Security and Application Teams
Gartner Recommended Reading
Also see:
- AI, Merging of Digital and Physical Worlds Among Top 10 Tech Trends for 2018 — from campustechnology.com by Joshua Bolkan
Excerpt:
Gartner has released its list of top 10 strategic technology trends for 2018 with a focus for the coming year on technologies related to artificial intelligence and machine learning and those that blend the physical and digital worlds.