50 Twitter accounts lawyers should follow — from postali.com

Excerpt:

Running a successful law practice is about much more than being an excellent attorney. A law firm is a business, and those who stay informed on trends in legal marketing, business development and technology are primed to run their practice more efficiently.

Law firms are a competitive business. In order to stay successful, you need to stay informed. The industry trends can often move at lightning speed, and you want to be ahead of them.

Twitter is a great place for busy attorneys to stay informed. Many thought leaders in the legal industry are eager and willing to share their knowledge in digestible, 280-character tweets that lawyers on-the-go can follow.

We’ve rounded up some of the best Twitter accounts for lawyers (in no particular order.) To save you even more time, we’ve also added all of these account to a Twitter List that you can follow with one click. (You can use some of the time you’ll save to follow Postali on Twitter as well.)

Click here to view the Twitter List of Legal Influencers.

 

 

From DSC:
I find Twitter to be an excellent source of learning, and it is one of the key parts of my own learning ecosystem. I’m not the only one. Check out these areas of Jane Hart’s annual top tools for learning.

Twitter is in the top 10 lists for learning tools no matter whether you are looking at education, workplace learning, and/or for personal and professional learning

 

 

 


Also see/relevant:

  • Prudenti: Law schools facing new demands for innovative education— from libn.com
    Excerpt:
    Law schools have always taught the law and the practice thereof, but in the 21st century that is not nearly enough to provide students with the tools to succeed. Clients, particularly business clients, are not only looking for an “attorney” in the customary sense, but a strategic partner equipped to deal with everything from project management to metrics to process enhancement. Those demands present law schools with both an opportunity for and expectation of innovation in legal education.

 

 

 

What is a learning ecosystem? And how does it support corporate strategy? [Eudy]

What is a learning ecosystem? And how does it support corporate strategy? — from ej4.com by Ryan Eudy

Excerpt:

learning ecosystem is a system of people, content, technology, culture, and strategy, existing both within and outside of an organization, all of which has an impact on both the formal and informal learning that goes on in that organization.

The word “ecosystem” is worth paying attention to here. It’s not just there to make the term sound fancy or scientific. A learning ecosystem is the L&D equivalent of an ecosystem out in the wild. Just as a living ecosystem has many interacting species, environments, and the complex relationships among them, a learning ecosystem has many people and pieces of content, in different roles and learning contexts, and complex relationships.

Just like a living ecosystem, a learning ecosystem can be healthy or sick, nurtured or threatened, self-sustaining or endangered. Achieving your development goals, then, requires an organization to be aware of its own ecosystem, including its parts and the internal and external forces that shape them.

 

From DSC:
Yes, to me, the concept/idea of a learning ecosystem IS important. Very important. So much so, I named this blog after it.

Each of us as individuals have a learning ecosystem, whether we officially recognize it or not. So do the organizations that we work for. And, like an ecosystem out in nature, a learning ecosystem is constantly morphing, constantly changing.

We each have people in our lives that help us learn and grow, and the people that were in our learning ecosystems 10 years ago may or may not still be in our current learning ecosystems. Many of us use technologies and tools to help us learn and grow. Then there are the spaces where we learn — both physical and virtual spaces. Then there are the processes and procedures we follow, formally and/or informally. Any content that helps us learn and grow is a part of that ecosystem. Where we get that content can change, but obtaining up-to-date content is a part of our learning ecosystems. I really appreciate streams of content in this regard — and tapping into blogs/websites, especially via RSS feeds and Feedly (an RSS aggregator that took off when Google Reader left the scene).

The article brings up a good point when it states that a learning ecosystem can be “healthy or sick, nurtured or threatened, self-sustaining or endangered.” That’s why I urge folks to be intentional about maintaining and, better yet, consistently enhancing their learning ecosystems. In this day and age where lifelong learning is now a requirement to remain in the workforce, each of us needs to be intentional in this regard.

 

 

Reimagining the Higher Education Ecosystem — from edu2030.agorize.com
How might we empower people to design their own learning journeys so they can lead purposeful and economically stable lives?

Excerpts:

The problem
Technology is rapidly transforming the way we live, learn, and work. Entirely new jobs are emerging as others are lost to automation. People are living longer, yet switching jobs more often. These dramatic shifts call for a reimagining of the way we prepare for work and life—specifically, how we learn new skills and adapt to a changing economic landscape.

The changes ahead are likely to hurt most those who can least afford to manage them: low-income and first generation learners already ill-served by our existing postsecondary education system. Our current system stifles economic mobility and widens income and achievement gaps; we must act now to ensure that we have an educational ecosystem flexible and fair enough to help all people live purposeful and economically stable lives. And if we are to design solutions proportionate to this problem, new technologies must be called on to scale approaches that reach the millions of vulnerable people across the country.

 

The challenge
How might we empower people to design their own learning journeys so they can lead purposeful and economically stable lives?

The Challenge—Reimagining the Higher Education Ecosystem—seeks bold ideas for how our postsecondary education system could be reimagined to foster equity and encourage learner agency and resilience. We seek specific pilots to move us toward a future in which all learners can achieve economic stability and lead purposeful lives. This Challenge invites participants to articulate a vision and then design pilot projects for a future ecosystem that has the following characteristics:

Expands access: The educational system must ensure that all people—including low-income learners who are disproportionately underserved by the current higher education system—can leverage education to live meaningful and economically stable lives.

Draws on a broad postsecondary ecosystem: While college and universities play a vital role in educating students, there is a much larger ecosystem in which students learn. This ecosystem includes non-traditional “classes” or alternative learning providers, such as MOOCs, bootcamps, and online courses as well as on-the-job training and informal learning. Our future learning system must value the learning that happens in many different environments and enable seamless transitions between learning, work, and life.

 

From DSC:
This is where I could see a vision similar to Learning from the Living [Class] Room come into play. It would provide a highly affordable, accessible platform, that would offer more choice, and more control to learners of all ages. It would be available 24×7 and would be a platform that supports lifelong learning. It would combine a variety of AI-enabled functionalities with human expertise, teaching, training, motivation, and creativity.

It could be that what comes out of this challenge will lay the groundwork for a future, massive new learning platform.

 

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

 

Also see:

 

The scary amount that college will cost in the future — from cnbc.com by Annie Nova

Excerpt:

Think college is expensive now? Then new parents will probably want to take a seat for this news.

In 2036, just 18 years from now, four years at a private university will be around $303,000, up from $167,000 today.

To get a degree at a public university you’ll need about $184,000, compared with $101,000 now.

These forecasts were provided by Wealthfront, an automated investment platform that offers college saving options. It uses Department of Education data on the current cost of schools along with expected annual inflation to come up with its projections.

 

Excerpted graphic:

 

From DSC:
We had better be at the end of the line of thinking that says these tuition hikes can continue. It’s not ok. More and more people will be shut out by this kind of societal gatekeeper. The ever-increasing cost of obtaining a degree has become a matter of social justice for me. Other solutions are needed. The 800 pound gorilla of debt that’s already being loaded onto more and more of our graduates will impact them for years…even for decades in many of our graduates’ cases.

It’s my hope that a variety of technologies will make learning more affordable, yet still provide a high quality of education. In fact, I’m hopeful that the personalization/customization of learning will take some major steps forward in the very near future. We will still need and want solid teachers, professors, and trainers, but I’m hopeful that those folks will be aided by the heavy lifting that will be done by some powerful tools/technologies that will be aimed at helping people learn and grow…providing lifelong learners with more choice, more control.

I love the physical campus as much as anyone, and I hope that all students can have that experience if they want it. But I’ve seen and worked with the high costs of building and maintaining physical spaces — maintaining our learning spaces, dorms, libraries, gyms, etc. is very expensive.

I see streams of content becoming more prevalent in the future — especially for lifelong learners who need to reinvent themselves in order to stay marketable. We will be able to subscribe and unsubscribe to curated streams of content that we want to learn more about. For example, today, that could involve RSS feeds and Feedly (to aggregate those feeds). I see us using micro-learning to help us encode information and then practice recalling it (i.e., spaced practice), to help us stop or lessen the forgetting curves we all experience, to help us sort information into things we know and things that we need more assistance on (while providing links to resources that will help us obtain better mastery of the subject(s)).

 

 

 

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:
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.]

 

 

 

 

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

 

 

 

TV is (finally) an app: The goods, the bads and the uglies for learning — from thejournal.com by Cathie Norris, Elliot Soloway

Excerpts:

Television. TV. There’s an app for that. Finally! TV — that is, live shows such as the news, specials, documentaries (and reality shows, if you must) — is now just like Candy Crunch and Facebook. TV apps (e.g., DirecTV Now) are available on all devices — smartphones, tablets, laptops, Chromebooks. Accessing streams upon streams of videos is, literally, now just a tap away.

Plain and simple: readily accessible video can be a really valuable resource for learners and learning.

Not everything that needs to be learned is on video. Instruction will need to balance the use of video with the use of printed materials. That balance, of course, needs to take in cost and accessibility.

Now for the 800 pound gorilla in the room: Of course, that TV app could be a huge distraction in the classroom. The TV app has just piled yet another classroom management challenge onto a teacher’s back.

That said, it is early days for TV as an app. For example, HD (High Definition) TV demands high bandwidth — and we can experience stuttering/skipping at times. But, when 5G comes around in 2020, just two years from now, POOF, that stuttering/skipping will disappear. “5G will be as much as 1,000 times faster than 4G.”  Yes, POOF!

 

From DSC:
Learning via apps is here to stay. “TV” as apps is here to stay. But what’s being described here is but one piece of the learning ecosystem that will be built over the next 5-15 years and will likely be revolutionary in its global impact on how people learn and grow. There will be opportunities for social-based learning, project-based learning, and more — with digital video being a component of the ecosystem, but is and will be insufficient to completely move someone through all of the levels of Bloom’s Taxonomy.

I will continue to track this developing learning ecosystem, but voice-driven personal assistants are already here. Algorithm-based recommendations are already here. Real-time language translation is already here.  The convergence of the telephone/computer/television continues to move forward.  AI-based bots will only get better in the future. Tapping into streams of up-to-date content will continue to move forward. Blockchain will likely bring us into the age of cloud-based learner profiles. And on and on it goes.

We’ll still need teachers, professors, and trainers. But this vision WILL occur. It IS where things are heading. It’s only a matter of time.

 

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

 

 

 

 

 

What College Doesn’t Teach You About Building a Network — from linkedin.com by Jeff Sellingo

Excerpt:

Here’s what I told the students in Boston about starting their network. It’s advice that might be useful for any of us trying to build or expand our network throughout life.

 

From DSC:
I appreciated reading Jeff’s article out on LinkedIn; a solid topic, for sure.

These days, I try to share with students taking my Foundations of Information Technology Course that I had the wrong view of networking in college and for many years after that. I thought networking was manipulative and self-serving.

I tell the students that I was wrong to view networking that way. I now see networking very differently. I view it as an opportunity to learn with — and from — others, to share information with others, to contribute to others, to help others and to be helped by them as well. It’s a multi-directional street. It’s also invaluable in finding a new job. The saying that “it’s not always what you know but who you know” is very true.

I strongly encourage the students to be out on LinkedIn and to begin their networking immediately (we create a LinkedIn profile as part of the class). They can start with fellow students as well as their current faculty members, family members, people from their current jobs or churches or volunteer organizations, etc.  They can contribute to streams of content on LinkedIn, Twitter, and other social media as well as draw from those streams of content as well.

I have always valued other people. But I didn’t always value networking. I now value networking much more than I ever did before.

 

 

 

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.

 

 

 

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