From DSC:
After seeing the article entitled, “Scientists Are Turning Alexa into an Automated Lab Helper,” I began to wonder…might Alexa be a tool to periodically schedule & provide practice tests & distributed practice on content? In the future, will there be “learning bots” that a learner can employ to do such self-testing and/or distributed practice?

 

 

From page 45 of the PDF available here:

 

Might Alexa be a tool to periodically schedule/provide practice tests & distributed practice on content?

 

 

 

 

Michelle Weise: ‘We Need to Design the Learning Ecosystem of the Future’ — from edsurge.com  by Michelle Weise

Excerpts:

These days, education reformers, evangelists and foundations pay a lot of lip service to the notion of lifelong learning, but we do little to invest in the systems, architecture and infrastructure needed to facilitate seamless movements in and out of learning and work.

Talk of lifelong learning doesn’t translate into action. In fact, resources and funding are often geared toward the traditional 17- to 22-year-old college-going population and less often to working adults, our growing new-traditional student population.

We’ll need a different investment thesis: For most adults, taking time off work to attend classes at a local, brick-and-mortar community college or a four-year institution will not be the answer. The opportunity costs will be too high. Our current system of traditional higher education is ill-suited to facilitate flexible, seamless cost-effective learning pathways for these students to keep up with the emergent demands of the workforce.

Many adults may have no interest in coming back to college. Out of the 37 million Americans with some college and no degree, many have already failed one or twice before and will be wholly uninterested in experiencing more educational trauma.We can’t just say, “Here’s a MOOC, or here’s an online degree, or a 6- to 12-week immersive bootcamp.”

 

We have to do better. Let’s begin seeding the foundational elements of a learning ecosystem of the future—flexible enough for adults to move consistently in and out of learning and work. Enough talk about lifelong learning: Let’s build the foundations of that learning ecosystem of the future.

 

 

From DSC:
I couldn’t agree more with Michelle that we need a new learning ecosystem of the future. In fact, I have been calling such an effort “Learning from the Living [Class] Room — and it outlines a next generation learning platform that aims to deliver everything Michelle talks about in her solid article out at edsurge.com.

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

 

Along these lines…I just saw that Amazon is building out more cashierless stores (and Walmart is also at work on introducing more cashierless stores.) Now, let’s say that you are currently a cashier. 2-5 years from now (depending upon where you’re currently working and which stores are in your community), what are you going to do? The opportunities for such a position will be fewer and fewer. Who can help you do what Michelle mentioned here:

Working learners will also need help articulating their learning goals and envisioning a future for themselves. People don’t know how to translate their skills from one industry to another. How does a student begin to understand that 30% of what they already know could be channeled into a totally different and potentially promising pathway they never even knew was within reach?

And that cashier may have had a tough time with K-12 education and/or with higher education. As Michelle writes:

Many adults may have no interest in coming back to college. Out of the 37 million Americans with some college and no degree, many have already failed one or twice before and will be wholly uninterested in experiencing more educational trauma. We can’t just say, “Here’s a MOOC, or here’s an online degree, or a 6- to 12-week immersive bootcamp.”

And like the cashier in this example…we are quickly approaching an era where, I believe, many of us will need to reinvent ourselves in order to:

  • stay marketable
  • keep bread and butter on the table
  • continue to have a sense of purpose and meaning in our lives

Higher ed, if it wants to remain relevant, must pick up the pace of experimentation and increase the willingness to innovate, and to develop new business models — to develop new “learning channels” so to speak. Such channels need to be:

  • Up-to-date
  • Serving relevant data and information– especially regarding the job market and which jobs appear to be safe for the next 5-10 years
  • Inexpensive/affordable
  • Highly convenient

 

 

 

From DSC:
Here’s a quote that has been excerpted from the announcement below…and it’s the type of service that will be offered in our future learning ecosystems — our next generation learning platforms:

 

Career Insight™ enables prospective students to identify programs of study which can help them land the careers they want: Career Insight™ describes labor market opportunities associated with programs of study to prospective students. The recommendation engine also matches prospective students to programs based on specific career interests.

 

But in addition to our future learning platforms pointing new/prospective students to physical campuses, the recommendation engines will also provide immediate access to digital playlists for the prospective students/learners to pursue from their living rooms (or as they are out and about…i.e., mobile access).

 

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

 

 

Artificial intelligence working with enormous databases to build/update recommendation engines…yup, I could see that. Lifelong learning. Helping people know what to reinvent themselves to.

 

 


 

Career Insight™ Lets Prospective Students Connect Academic Program Choices to Career Goals — from burning-glass.com; also from Hadley Dreibelbis from Finn Partners
New Burning Glass Technologies Product Brings Job Data into Enrollment Decisions

BOSTON—Burning Glass Technologies announces the launch of Career Insight™, the first tool to show prospective students exactly how course enrollment will advance their careers.

Embedded in institutional sites and powered by Burning Glass’ unparalleled job market data, Career Insight’s personalized recommendation engine matches prospective students with programs based on their interests and goals. Career Insight will enable students to make smarter decisions, as well as improve conversion and retention rates for postsecondary institutions.

“A recent Gallup survey found that 58% of students say career outcomes are the most important reason to continue their education,” Burning Glass CEO Matthew Sigelman said. “That’s particularly true for the working learners who are now the norm on college campuses. Career Insight™ is a major step in making sure that colleges and universities can speak their language from the very first.”

Beginning an educational program with a firm, realistic career goal can help students persist in their studies. Currently only 29% of students in two-year colleges and 59% of those in four-year institutions complete their degrees within six years.

Career Insight™ enables prospective students to identify programs of study which can help them land the careers they want:

  • Career Insight™ describes labor market opportunities associated with programs of study to prospective students. The recommendation engine also matches prospective students to programs based on specific career interests.
  • The application provides insights to enrollment, advising, and marketing teams into what motivates prospective students, analysis that will guide the institution in improving program offerings and boosting conversion.
  • Enrollment advisors can also walk students through different career and program scenarios in real time.

Career Insight™ is driven by the Burning Glass database of a billion job postings and career histories, collected from more than 40,000 online sources daily. The database, powered by a proprietary analytic taxonomy, provides insight into what employers need much faster and in more detail than any other sources.

Career Insight™ is powered by the same rich dataset Burning Glass delivers to hundreds of leading corporate and education customers – from Microsoft and Accenture to Harvard University and Coursera.

More information is available at http://burning-glass.com/career-insight.

 


 

 

From DSC:
With some predictions saying that the workforce is going to be composed of upwards of ~50% of us being contingent workers, (I’ve already seen figures around mid 30’s and even 40%), the question I have is:

Are we teaching students how to protect themselves, how to sell themselves, how to sell their businesses, how to plan financially, etc.? 

Consider this article:

Would our students know about these types of mistakes?

Also, it seems to me that higher education should be helping students “future proof” themselves — or at least as much as possible. One of the values higher education should be bringing to the table is to identify which jobs are going to be around for the next 5-10 years and which ones aren’t.

Along these lines, lifelong learning and learning how to learn are becoming increasingly important. Thus, I will continue to try and post articles/resources on this blog in regards to metacognition and the like.

 

 

 

You can now build Amazon Music playlists using voice commands on Alexa devices — from theverge.com by Natt Garun

Excerpt:

Amazon today announced that Amazon Music listeners can now build playlists using voice commands via Alexa. For example, if they’re streaming music from an app or listening to the radio on an Alexa-enabled device, they can use voice commands to add the current song to a playlist, or start a new playlist from scratch.

 

From DSC:
I wonder how long it will be before we will be able to create and share learning-based playlists for accessing digitally-based resources…? Perhaps AI will be used to offer a set of playlists on any given topic…?

With the exponential pace of change that we’re starting to experience — plus the 1/2 lives of information shrinking — such features could come in handy.

 

 

 

 

 

 

What these firms all have in common are powerful digital platforms that provide the scale and scope to expand into new growth markets and geographies at speeds never before possible.

 

 


From DSC:
To me, the item below provides another example of the exponential pace of change that we are beginning to experience:


Corporate Longevity Forecast: The Pace of Creative Destruction is Accelerating — from innosight.com by Scott Anthony, S. Patrick Viguerie, Evan Schwartz and John Van Landeghem

Excerpt/Executive Summary:

Few companies are immune to the forces of creative destruction. Our corporate longevity forecast of S&P 500 companies anticipates average tenure on the list growing shorter and shorter over the next decade.

Key insights include:

  • The 33-year average tenure of companies on the S&P 500 in 1964 narrowed to 24 years by 2016 and is forecast to shrink to just 12 years by 2027 (Chart 1).
  • Record private equity activity, a robust M&A market, and the growth of startups with billion-dollar valuations are leading indicators of future turbulence.
  • A gale force warning to leaders: at the current churn rate, about half of S&P 500 companies will be replaced over the next ten years.
  • Retailers were especially hit hard by disruptive forces, and there are strong signs of restructuring in financial services, healthcare, energy, travel, and real estate.
  • The turbulence points to the need for companies to embrace a dual transformation, to focus on changing customer needs, and other strategic interventions.

 


Are Corporations Ready for Increased Turbulence?

Viewed as a larger picture, S&P 500 turnover serves as a barometer for marketplace change. Shrinking lifespans of companies on the list are in part driven by a complex combination of technology shifts and economic shocks, some of which are beyond the control of corporate leaders. But frequently, companies miss opportunities to adapt or take advantage of these changes. For example, they continue to apply existing business models to new markets, are slow to respond to disruptive competitors in low-profit segments, or fail to adequately envision and invest in new growth areas which often takes a decade or longer to pay off.

At the same time, we’ve seen the rise of other companies take their place on the list by creating new products, business models, and serving new customers. Some of the market forces driving these exits and entries include the mass disruption in retail, the rising dominance of digital technology platforms, the downward pressure on energy prices, strength in global travel and real estate, as well as the failure of stock buyback efforts to improve performance.

 

 

 

 

From DSC:
DC: Will Amazon get into delivering education/degrees? Is is working on a next generation learning platform that could highly disrupt the world of higher education? Hmmm…time will tell.

But Amazon has a way of getting into entirely new industries. From its roots as an online bookseller, it has branched off into numerous other arenas. It has the infrastructure, talent, and the deep pockets to bring about the next generation learning platform that I’ve been tracking for years. It is only one of a handful of companies that could pull this type of endeavor off.

And now, we see articles like these:


Amazon Snags a Higher Ed Superstar — from insidehighered.com by Doug Lederman
Candace Thille, a pioneer in the science of learning, takes a leave from Stanford to help the ambitious retailer better train its workers, with implications that could extend far beyond the company.

Excerpt:

A major force in the higher education technology and learning space has quietly begun working with a major corporate force in — well, in almost everything else.

Candace Thille, a pioneer in learning science and open educational delivery, has taken a leave of absence from Stanford University for a position at Amazon, the massive (and getting bigger by the day) retailer.

Thille’s title, as confirmed by an Amazon spokeswoman: director of learning science and engineering. In that capacity, the spokeswoman said, Thille will work “with our Global Learning Development Team to scale and innovate workplace learning at Amazon.”

No further details were forthcoming, and Thille herself said she was “taking time away” from Stanford to work on a project she was “not really at liberty to discuss.”

 

Amazon is quietly becoming its own university — from qz.com by Amy Wang

Excerpt:

Jeff Bezos’ Amazon empire—which recently dabbled in home security, opened artificial intelligence-powered grocery stores, and started planning a second headquarters (and manufactured a vicious national competition out of it)—has not been idle in 2018.

The e-commerce/retail/food/books/cloud-computing/etc company made another move this week that, while nowhere near as flashy as the above efforts, tells of curious things to come. Amazon has hired Candace Thille, a leader in learning science, cognitive science, and open education at Stanford University, to be “director of learning science and engineering.” A spokesperson told Inside Higher Ed that Thille will work “with our Global Learning Development Team to scale and innovate workplace learning at Amazon”; Thille herself said she is “not really at liberty to discuss” her new project.

What could Amazon want with a higher education expert? The company already has footholds in the learning market, running several educational resource platforms. But Thille is famous specifically for her data-driven work, conducted at Stanford and Carnegie Mellon University, on nontraditional ways of learning, teaching, and training—all of which are perfect, perhaps even necessary, for the education of employees.

 


From DSC:
It could just be that Amazon is simply building its own corporate university and will stay focused on developing its own employees and its own corporate learning platform/offerings — and/or perhaps license their new platform to other corporations.

But from my perspective, Amazon continues to work on pieces of a powerful puzzle, one that could eventually involve providing learning experiences to lifelong learners:

  • Personal assistants
  • Voice recognition / Natural Language Processing (NLP)
  • The development of “skills” at an incredible pace
  • Personalized recommendation engines
  • Cloud computing and more

If Alexa were to get integrated into a AI-based platform for personalized learning — one that features up-to-date recommendation engines that can identify and personalize/point out the relevant critical needs in the workplace for learners — better look out higher ed! Better look out if such a platform could interactively deliver (and assess) the bulk of the content that essentially does the heavy initial lifting of someone learning about a particular topic.

Amazon will be able to deliver a cloud-based platform, with cloud-based learner profiles and blockchain-based technologies, at a greatly reduced cost. Think about it. No physical footprints to build and maintain, no lawns to mow, no heating bills to pay, no coaches making $X million a year, etc.  AI-driven recommendations for digital playlists. Links to the most in demand jobs — accompanied by job descriptions, required skills & qualifications, and courses/modules to take in order to master those jobs.

Such a solution would still need professors, instructional designers, multimedia specialists, copyright experts, etc., but they’ll be able to deliver up-to-date content at greatly reduced costs. That’s my bet. And that’s why I now call this potential development The New Amazon.com of Higher Education.

[Microsoft — with their purchase of Linked In (who had previously
purchased Lynda.com) — is
another such potential contender.]

 

 

 

EdX Quietly Developing ‘MicroBachelors’ Program — from edsurge.com by Jeff Young

Excerpt:

EdX, the nonprofit online-education group founded by MIT and Harvard, is quietly developing a “MicroBachelors” degree that is designed to break the undergraduate credential into Lego-like components.

In December, edX won a $700,000 grant from the Lumina Foundation to support the MicroBachelors effort with the organization’s university partners. Officials from edX declined to talk about the project, saying only that it is in the early stages. But at a higher-education innovation summit last month hosted by the U.S. Department of Education, Anant Agarwal, CEO of edX, listed the project as part of the group’s long-term vision that began with its MicroMasters program. And the organization has filed a trademark for the term “MicroBachelors” as well.

 

“Education in five to ten years will become modular, will become omnichannel, and will become lifelong,” Agarwal said at the meeting, later explaining that omnichannel meant offering courses either online or in person.

 

How would a MicroBachelors be different than, say, a two-year associate’s degree, which is arguably already half a bachelor’s degree? Sarma said that the idea behind both MicroMasters and MicroBachelors is that they are “about putting stuff that can be done online, online.” In other words, the big idea is offering a low-cost, low-risk way for students to start an undergraduate education even if they can’t get to a campus.

 

 

 

Also relevant/see:

 

 

 

 

The next era of human|machine partnerships
From delltechnologies.com by the Institute for the Future and Dell Technologies

 


From DSC:
Though this outlook report paints a rosier picture than I think we will actually encounter, there are several interesting perspectives in this report. We need to be peering out into the future to see which trends and scenarios are most likely to occur…then plan accordingly. With that in mind, I’ve captured a few of the thoughts below.


 

At its inception, very few people anticipated the pace at which the internet would spread across the world, or the impact it would have in remaking business and culture. And yet, as journalist Oliver Burkeman wrote in 2009, “Without most of us quite noticing when it happened, the web went from being a strange new curiosity to a background condition of everyday life.”1

 

In Dell’s Digital Transformation Index study, with 4,000 senior decision makers across the world, 45% say they are concerned about becoming obsolete in just 3-5 years, nearly half don’t know what their industry will look like in just three years’ time, and 73% believe they need to be more ‘digital’ to succeed in the future.

With this in mind, we set out with 20 experts to explore how various social and technological drivers will influence the next decade and, specifically, how emerging technologies will recast our society and the way we conduct business by the year 2030. As a result, this outlook report concludes that, over the next decade, emerging technologies will underpin the formation of new human-machine partnerships that make the most of their respective complementary strengths. These partnerships will enhance daily activities around the coordination of resources and in-the-moment learning, which will reset expectations for work and require corporate structures to adapt to the expanding capabilities of human-machine teams.


For the purpose of this study, IFTF explored the impact that Robotics, Artificial Intelligence (AI) and Machine Learning, Virtual Reality (VR) and Augmented Reality (AR), and Cloud Computing, will have on society by 2030. These technologies, enabled by significant advances in software, will underpin the formation of new human-machine partnerships.

On-demand access to AR learning resources will reset expectations and practices around workplace training and retraining, and real-time decision-making will be bolstered by easy access to information flows. VR-enabled simulation will immerse people in alternative scenarios, increasing empathy for others and preparation for future situations. It will empower the internet of experience by blending physical and virtual worlds.

 

Already, the number of digital platforms that are being used to orchestrate either physical or human resources has surpassed 1,800.9 They are not only connecting people in need of a ride with drivers, or vacationers with a place to stay, but job searchers with work, and vulnerable populations with critical services. The popularity of the services they offer is introducing society to the capabilities of coordinating technologies and resetting expectations about the ownership of fixed assets.

 

Human-machine partnerships won’t spell the end of human jobs, but work will be vastly different.

The U.S. Bureau of Labor Statistics says that today’s learners will have 8 to 10 jobs by the time they are 38. Many of them will join the workforce of freelancers. Already 50 million strong, freelancers are projected to make up 50% of the workforce in the United States by 2020.12 Most freelancers will not be able to rely on traditional HR departments, onboarding processes, and many of the other affordances of institutional work.

 

By 2030, in-the-moment learning will become the modus operandi, and the ability to gain new knowledge will be valued higher than the knowledge people already have.

 

 

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

 

 

 

A Product at Every Price: A Review of MOOC Stats and Trends in 2017 — from edsurge.com by Dhawal Shah

Excerpt (emphasis DSC):

The MOOC landscape has grown to include 9,400 courses, more than 500 MOOC-based credentials, and more than a dozen graduate degrees. The total number of MOOCs available to register for at any point of time is larger than ever, thanks to tweaks in the scheduling policy by MOOC providers.

However, for the first time, we are seeing a slowdown in the number of new learners, a direct result of a shift in priorities towards users who are willing to pay. According to data gathered by Class Central, around 20 million new learners signed up for their first MOOC in 2017, fewer than the 23 million new learners who registered for a MOOC in 2016. The total number of MOOC learners is now 78 million.

Here is a list of the top five MOOC providers by registered users:

  1. Coursera: 30 million users
  2. edX: 14 million users
  3. XuetangX: 9.3 million users
  4. FutureLearn: 7.1 million users
  5. Udacity: 5 million users

 

Up to now, efforts to offer college credit for MOOCs have been targeted towards students who are enrolled in on-campus degree programs at the institutions that produced the MOOCs. Now, for the first time, we are seeing examples in which on-campus students have the option to earn credit from MOOCs, even from colleges and universities other than the one they attend.

 

 

 

 

The big MOOC providers now have a product at every price point—from free to million-dollar licensing deals with employers.

 

 

 

 

 


From DSC:
From an early age, we need to help our students learn how to learn. What tips, advice, and/or questions can we help our students get into the habit of asking themselves? Along these lines, the article below,”How Metacognition Boosts Learning,” provides some excellent questions. 

Speaking of questions…I’ll add some more, but of a different sort:

  • How can all educators do a better job of helping their students learn how to learn?
  • How can Instructional Designers and Instructional Technologists help out here? Librarians? Provosts? Deans? Department Chairs? Teachers? Trainers (in the corporate L&D space)?
  • How might technologies come into play here in terms of building more effective web-based learner profiles that can be fed into various platforms and/or into teachers’ game plans?

I appreciate Bill Knapp and his perspectives very much (see here and here; Bill is GRCC’s Executive Director of Distance Learning & Instructional Technologies). The last we got together, we wondered out loud:

  • Why don’t teachers, professors, school systems, administrations within in K-20 address this need/topic more directly…? (i.e., how can we best help our students learn how to learn?)
  • Should we provide a list of potentially helpful techniques, questions, tools, courses, modules, streams of content, or other resources on how to learn?
  • Should we be weaving these sorts of things into our pedagogies?
  • Are there tools — such as smartphone related apps — that can be of great service here? For example, are there apps for sending out reminders and/or motivational messages?

As Bill asserted, we need to help our students build self-efficacy and a mindset of how to learn. Then learners can pivot into new areas with much more confidence. I agree. In an era that continues to emphasize freelancing and entrepreneurship — plus dealing with a rapidly-changing workforce — people now need to be able to learn quickly and effectively. They need to have the self confidence to be able to pivot. So how can we best prepare our students for their futures?

Also, on a relevant but slightly different note (and I suppose is of the flavor of a Universal Design for Learning approach)…I think that “tests” given to special needs children — for example that might have to do with executive functioning, and/or identifying issues, and/or providing feedback as to how a particular learner might best absorb information — would be helpful for ALL students to take. If I realize that the way my brain learns best is to have aural and visual materials presented on any given topic, that is very useful information for me to realize — and the sooner the better!

 



How Metacognition Boosts Learning — from edutopia.org by Youki Terada
Students often lack the metacognitive skills they need to succeed, but they can develop these skills by addressing some simple questions.

Excerpt (emphasis DSC):

Strategies that target students’ metacognition—the ability to think about thinking—can close a gap that some students experience between how prepared they feel for a test and how prepared they actually are. In a new study, students in an introductory college statistics class who took a short online survey before each exam asking them to think about how they would prepare for it earned higher grades in the course than their peers—a third of a letter grade higher, on average. This low-cost intervention helped students gain insight into their study strategies, boosting their metacognitive skills and giving them tools to be more independent learners.

More recently, a team of psychologists and neuroscientists published a comprehensive analysis of 10 learning techniques commonly used by students. They discovered that one of the most popular techniques—rereading material and highlighting key points—is also one of the least effective because it leads students to develop a false sense of mastery. They review a passage and move on without realizing that they haven’t thoroughly understood and absorbed the material.

Metacognition helps students recognize the gap between being familiar with a topic and understanding it deeply. But weaker students often don’t have this metacognitive recognition—which leads to disappointment and can discourage them from trying harder the next time.

To promote students’ metacognition, middle and high school teachers can implement the following strategies. Elementary teachers can model or modify these strategies with their students to provide more scaffolding.

During class, students should ask themselves:

  • What are the main ideas of today’s lesson?
  • Was anything confusing or difficult?
  • If something isn’t making sense, what question should I ask the teacher?
  • Am I taking proper notes?
  • What can I do if I get stuck on a problem?

Before a test, students should ask themselves:

  • What will be on the test?
  • What areas do I struggle with or feel confused about?
  • How much time should I set aside to prepare for an upcoming test?
  • Do I have the necessary materials (books, school supplies, a computer and online access, etc.) and a quiet place to study, with no distractions?
  • What strategies will I use to study? Is it enough to simply read and review the material, or will I take practice tests, study with a friend, or write note cards?
  • What grade would I get if I were to take the test right now?

After a test, students should ask themselves:

  • What questions did I get wrong, and why did I get them wrong?
  • Were there any surprises during the test?
  • Was I well-prepared for the test?
  • What could I have done differently?
  • Am I receiving useful, specific feedback from my teacher to help me progress?

 



From DSC:
Below are a few resources more about metacognition and learning how to learn:

 

 

 

  • Students should be taught how to study. — from Daniel Willingham
    Excerpt:
    Rereading is a terribly ineffective strategy. The best strategy–by far–is to self-test–which is the 9th most popular strategy out of 11 in this study. Self-testing leads to better memory even compared to concept mapping (Karpicke & Blunt, 2011).

 

 

 

  • The Lesson You Never Got Taught in School: How to Learn! — from bigthink.com
    Excerpt:
    Have you ever wondered whether it is best to do your studying in large chunks or divide your studying over a period of time? Research has found that the optimal level of distribution of sessions for learning is 10-20% of the length of time that something needs to be remembered. So if you want to remember something for a year you should study at least every month, if you want to remember something for five years you should space your learning every six to twelve months. If you want to remember something for a week you should space your learning 12-24 hours apart. It does seem however that the distributed-practice effect may work best when processing information deeply – so for best results you might want to try a distributed practice and self-testing combo.There is however a major catch – do you ever find that the amount of studying you do massively increases before an exam? Most students fall in to the “procrastination scallop” – we are all guilty at one point of cramming all the knowledge in right before an exam, but the evidence is pretty conclusive that this is the worst way to study, certainly when it comes to remembering for the long term. What is unclear is whether cramming is so popular because students don’t understand the benefits of distributed practice or whether testing practices are to blame – probably a combination of both. One thing is for sure, if you take it upon yourself to space your learning over time you are pretty much guaranteed to see improvements.

 

 



Addendum on 1/22/18:

Using Metacognition to Promote Learning
IDEA Paper #63 | December 2016
By Barbara J. Millis

Excerpt:

Some Definitions of Metacognition
Metacognition, simplistically defined, can be described as “cognition about cognition” or “thinking about thinking” (Flavell, Miller & Miller, 2002, p. 175; Shamir, Metvarech, & Gida, 2009, p. 47; Veeman, Van Hout-Wolters, & Afflerbach, 2006, p. 5). However, because metacognition is multifaceted and multi-layered (Dunlosky & Metcalf, 2009, p. 1; Flavell, 1976; Hall, Danielewicz, & Ware , 2013, p. 149; Lovett, 2013, p. 20), more complex definitions are called for. Basically, metacognition must be viewed as an ongoing process that involves reflection and action. Metacognitive thinkers change both their understandings and their strategies. The clearest definitions of metacognition emphasize its nature as a process or cycle.

Several authors (Nilson, 2013, p. 9; Schraw, 2001; & Zimmerman, 1998; 2000; 2002) narrow this process down to three ongoing stages. The first stage, pre-planning, emphasizes the need for reflection on both one’s own thinking and the task at hand, including reflection on past strategies that might have succeeded or failed. Following this self-reflection, during planning, metacognitive thinkers develop and implement—put into action—a plan. In the third and final stage—post-planning adjustments/revisions—subsequent analysis following implementation leads to modifications, revised decisions, and new future plans. In an excellent summary, Wirth states that “metacognition requires students both to understand how they are learning and to develop the ability to make plans, to monitor progress and to make adjustments” (as cited in Jaschik, 2011, p. 2).

 

Conclusion: As we have seen, metacognition is a complex but valuable skill that can nurture students’ learning and their self-awareness of the learning process. It is best conceived as a three-step process that can occur through deliberately designed activities. Such activities can take place before, during, and after face-to-face lessons or through online learning. They can also be built around both multiple choice and essay examinations. Immersing students in these metacognitive activities—assuming there are opportunities for practice and feedback—can result in students who are reflective learners.

 

 

 

 

Developing a learning culture: A framework for the growth of teaching expertise — from facultyfocus.com by Nancy Chick, Natasha Kenny, Carol Berenson, Carol Johnson, David Keegan, Emma Read, & Leslie Reid

Excerpt (emphasis DSC):

Many postsecondary institutions have started to explore what it means to develop and demonstrate teaching expertise, recognizing not only the complexities of teaching and of documenting the experiences of teaching, but also that teaching expertise is developed through a learning process that continues over time (Hendry & Dean, 2002; Kreber, 2002). Our framework (see below graphic) for this growth of teaching expertise draws from the scholarly literature related to postsecondary teaching and learning to demonstrate that teaching expertise involves multiple facets, habits of mind (or ways of knowing and being), and possible developmental activities.

The Structure of the Framework
Our framework (Figure 1) introduces three foundational habits of mind—inclusive, learning-centered, and collaborative ways of knowing and being—that ground five interwoven and non-hierarchical facets of teaching expertise:

  • teaching and supporting learning
  • professional learning and development
  • mentorship
  • research, scholarship, and inquiry
  • educational leadership

 

Figure 1: Conceptualization of a framework for the development of teaching expertise

 

 

 

 

This framework is “written in pencil” in that it is meant to be shared, adapted, and used according to the needs of local contexts. The intention is to provide a scholarly framework for recognizing the breadth of characteristics involved in the development of teaching expertise in postsecondary contexts across all career stages.

 

 

 

 

 

From Elliott Masie’s Learning TRENDS – January 3, 2018.
#986 – Updates on Learning, Business & Technology Since 1997.

2. Curation in Action – Meural Picture Frame of Endless Art. 
What a cool Curation Holiday Gift that arrived.  The Meural Picture Frame is an amazing digital display, 30 inches by 20 inches, that will display any of over 10,000 classical or modern paintings or photos from the world’s best museums.

A few minutes of setup to the WiFi and my Meural became a highly personalized museum in the living room.  I selected collections of an era, a specific artist, a theme or used someone else’s art “playlist”.

It is curation at its best!  A personalized and individualized selection from an almost limitless collection.  Check it out at http://www.meural.com

 



Also see:



 

Discover new art every day with Meural

 

 

Discover new artwork with Meural -- you can browse playlists of artwork and/or add your own

 

 

 

 

From DSC:
As I understand it, you can upload your own artwork and photography into this platform. As such, couldn’t we put such devices/frames in schools?!

Wouldn’t it be great to have each classroom’s artwork available as a playlist?! And not just the current pieces, but archived pieces as well!

Wouldn’t it be cool to be able to walk down the hall and swish through a variety of pieces?

Wouldn’t such a dynamic, inspirational platform be a powerful source of creativity in our hallways?  The frames could display the greatest works of art from around the world!

Wouldn’t such a platform give young/budding artists and photographers incentive to do their best work, knowing many others can see their creative works as a part of a playlist?

Wouldn’t it be cool to tap into such a service and treasure chest of artwork and photography via your Smart/Connected TV?

Here’s to creativity!

 

 

 

 

 

 

DC: The next generation learning platform will likely offer us such virtual reality-enabled learning experiences such as this “flight simulator for teachers.”

Virtual reality simulates classroom environment for aspiring teachers — from phys.org by Charles Anzalone, University at Buffalo

Excerpt (emphasis DSC):

Two University at Buffalo education researchers have teamed up to create an interactive classroom environment in which state-of-the-art virtual reality simulates difficult student behavior, a training method its designers compare to a “flight simulator for teachers.”

The new program, already earning endorsements from teachers and administrators in an inner-city Buffalo school, ties into State University of New York Chancellor Nancy L. Zimpher’s call for innovative teaching experiences and “immersive” clinical experiences and teacher preparation.

The training simulator Lamb compared to a teacher flight simulator uses an emerging computer technology known as virtual reality. Becoming more popular and accessible commercially, virtual reality immerses the subject in what Lamb calls “three-dimensional environments in such a way where that environment is continuous around them.” An important characteristic of the best virtual reality environments is a convincing and powerful representation of the imaginary setting.

 

Also related/see:

 

  • TeachLive.org
    TLE TeachLivE™ is a mixed-reality classroom with simulated students that provides teachers the opportunity to develop their pedagogical practice in a safe environment that doesn’t place real students at risk.  This lab is currently the only one in the country using a mixed reality environment to prepare or retrain pre-service and in-service teachers. The use of TLE TeachLivE™ Lab has also been instrumental in developing transition skills for students with significant disabilities, providing immediate feedback through bug-in-ear technology to pre-service teachers, developing discrete trial skills in pre-service and in-service teachers, and preparing teachers in the use of STEM-related instructional strategies.

 

 

 

 

 

This start-up uses virtual reality to get your kids excited about learning chemistry — from Lora Kolodny and Erin Black

  • MEL Science raised $2.2 million in venture funding to bring virtual reality chemistry lessons to schools in the U.S.
  • Eighty-two percent of science teachers surveyed in the U.S. believe virtual reality content can help their students master their subjects.

 

This start-up uses virtual reality to get your kids excited about learning chemistry from CNBC.

 

 


From DSC:
It will be interesting to see all the “places” we will be able to go and interact within — all from the comfort of our living rooms! Next generation simulators should be something else for teaching/learning & training-related purposes!!!

The next gen learning platform will likely offer such virtual reality-enabled learning experiences, along with voice recognition/translation services and a slew of other technologies — such as AI, blockchain*, chatbots, data mining/analytics, web-based learner profiles, an online-based marketplace supported by the work of learning-based free agents, and others — running in the background. All of these elements will work to offer us personalized, up-to-date learning experiences — helping each of us stay relevant in the marketplace as well as simply enabling us to enjoy learning about new things.

But the potentially disruptive piece of all of this is that this next generation learning platform could create an Amazon.com of what we now refer to as “higher education.”  It could just as easily serve as a platform for offering learning experiences for learners in K-12 as well as the corporate learning & development space.

 

I’m tracking these developments at:
http://danielschristian.com/thelivingclassroom/

 

 

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

 


*  Also see:


Blockchain, Bitcoin and the Tokenization of Learning — from edsurge.com by Sydney Johnson

Excerpt:

In 2014, Kings College in New York became the first university in the U.S. to accept Bitcoin for tuition payments, a move that seemed more of a PR stunt than the start of some new movement. Much has changed since then, including the value of Bitcoin itself, which skyrocketed to more than $19,000 earlier this month, catapulting cryptocurrencies into the mainstream.

A handful of other universities (and even preschools) now accept Bitcoin for tuition, but that’s hardly the extent of how blockchains and tokens are weaving their way into education: Educators and edtech entrepreneurs are now testing out everything from issuing degrees on the blockchain to paying people in cryptocurrency for their teaching.

 

 

 

 

Keeping Joy in the Classroom — from teachervision.com by Lisa Koplik
How do we keep joy in our classrooms — for both students and teachers?

Excerpt (emphasis DSC):

Teaching today is nothing like it was in the past. Gone are the days of loose curriculum, infrequent observations by your principal, and learning cursive; we now have structured lessons, unannounced walkthroughs by both the principal and the superintendent, and a lack of downtime.

How do we keep joy in our classrooms — for the kids and also for us? Take a look at some tips for continuing to make teaching and learning fun.

4. Allow for Choice
As much as you can, give the kids choices. While this isn’t always possible, there are ways to promote student choice. If your school has an intervention time, or a “What I Need” (WIN) block, create a menu of student options. Recently, my WIN time menu has included Greek myths, multiplication practice, a persuasive essay piece, informational task cards, and multi-step word problems in math. These activities are considered Must-Do, and if they finish all Must-Dos, they can move on to optional choices. Another great way to allow for choice is by using Seesaw, a website that allows for students to represent their learning in a variety of ways. I have used Seesaw during assessments to allow students the choice of typing, voice recording, or writing by hand. They definitely enjoy filming themselves talking!

 

 

From DSC:
Seeing as all of us are now into lifelong learning, it’s to all of our benefits to make learning fun and enjoyable. In fact, I wish that were more a part of our formative assessments…not just how did our students score on this or that standardized test. The skills that are needed in the future are hard to cram into a standardized test; skills such as creativity, entrepreneurship, tenacity/grit, patience, teamwork and collaboration, being innovative, being able to quickly adapt to change, etc.

Sometimes the problem is that it takes too much time to provide a solid level of choice. I get that. But with some tools/services — as in the case where Lisa mentioned her use of Seesaw — there are some options that aren’t so labor-intensive for the teachers.

I have it that if someone has had an extended period of painful or bad learning experiences, chances are that they won’t want to “go back to school” — in whatever form that additional training/education might look like. But if they enjoyed their learning experiences, it becomes much easier for consistent, lifelong learning to get baked into our daily/weekly habits and into our lives.

 

 

 

 

 
© 2025 | Daniel Christian