Teachers across America are obsessed with Google products — here’s how Apple and Microsoft plan to win them back — from businessinsider.com by Rachel Premack

Excerpt:

  • Google has taken over technology in the classroom from education stalwarts Microsoft and Apple.
  • That’s a valuable market to dominate. Ed tech is expected to hit $43 billion in value by 2019, just under half of which is based in K-12.
  • Chromebooks are cheaper than hardware from Microsoft and Apple, and Google’s classroom management software is a teacher favorite because of how easy it is to use.
  • Here’s what the two plan to do to take back some market share from Google.

 

 

 

 

Teachers urged to instill assignments with ‘choice and relevancy’ — from thejournal.com by Dian Schaffhauser

Excerpt (emphasis DSC):

new report from the Education Trust looks at the role of two “powerful levers” — choice and relevancy — in motivating and engaging students. This national nonprofit works on issues that disproportionately affect students from low-income families and students of color. In its new paper the organization offered guidance to help educators bring relevancy to their assignments and give students “authentic choices.”

 

As they concluded, “When teachers consistently offer assignments that include choice in content, product or process, students will find the learning ownership needed to stay engaged and achieve at high levels.”

 

 

From DSC:
At this stage in life, my wife and I have one of our kids in high school…our son, who is now in his junior year. He is a very intelligent young man who wants to go into acting/drama/the theater. But he is a game player. He knows how the game is played and he plays it (most of the time). He can’t wait until the next phase of life because he views so much of his current education as being forced down his throat. Many of the topics that his courses deal with are things that he doesn’t care anything about. He would much rather study topics that HE wants to learn about.

He shared two recent examples with me:

  1. In his acting class, his acting teacher gave some of his own personal background and how he came to be where he is today; every eye and ear were open my son said…it was completely quiet in the room
  2. In his econ class, the teacher shared about the value of time on investing and gave some examples involving the growth of some investments over time; again, every eye and ear was open according to my son.

These were items of extreme relevance to those classes/audiences. And the students were paying attention, big time.

Also, when given more choice, students are apt to be much more engaged in their learning — even, perhaps, developing more of an actual enjoyment of learning.

Funny (but not really) how many times we hear of adults who later on went on to love learning…but they hated school.

 

 

 

 
 

Combining retrieval, spacing, and feedback boosts STEM learning — from retrievalpractice.org

Punchline:
Scientists demonstrated that when college students used a quizzing program that combined retrieval practice, spacing, and feedback, exam performance increased by nearly a letter grade.

—-

Abstract
The most effective educational interventions often face significant barriers to widespread implementation because they are highly specific, resource intense, and/or comprehensive. We argue for an alternative approach to improving education: leveraging technology and cognitive science to develop interventions that generalize, scale, and can be easily implemented within any curriculum. In a classroom experiment, we investigated whether three simple, but powerful principles from cognitive science could be combined to improve learning. Although implementation of these principles only required a few small changes to standard practice in a college engineering course, it significantly increased student performance on exams. Our findings highlight the potential for developing inexpensive, yet effective educational interventions that can be implemented worldwide.

In summary, the combination of spaced retrieval practice and required feedback viewing had a powerful effect on student learning of complex engineering material. Of course, the principles from cognitive science could have been applied without the use of technology. However, our belief is that advances in technology and ideas from machine learning have the potential to exponentially increase the effectiveness and impact of these principles. Automation is an important benefit, but technology also can provide a personalized learning experience for a rapidly growing, diverse body of students who have different knowledge and academic backgrounds. Through the use of data mining, algorithms, and experimentation, technology can help us understand how best to implement these principles for individual learners while also producing new discoveries about how people learn. Finally, technology facilitates access. Even if an intervention has a small effect size, it can still have a substantial impact if broadly implemented. For example, aspirin has a small effect on preventing heart attacks and strokes when taken regularly, but its impact is large because it is cheap and widely available. The synergy of cognitive science, machine learning, and technology has the potential to produce inexpensive, but powerful learning tools that generalize, scale, and can be easily implemented worldwide.

Keywords: Education. Technology. Retrieval practice. Spacing. Feedback. Transfer of learning.

 

 

Awesome study hacks: 5 ways to remember more of what you read — from academiccoachingwithpat.com by Pat LaDouceur; with thanks to Julia Reed for her Tweet on this

Excerpts:

  1. Annotate as you read
  2. Skim
  3. Rewrite key ideas in your own words
  4. Write a critique
  5. List your questions

 

Reorganizing information helps you learn it more effectively, which is why Rewriting makes the list as one of the top 5 reading study hacks. It forces you to stay active and involved with the text (from DSC: the word “engaged” comes to mind here), to consider arguments and synthesize information, and thus remember more of what you read.

 

 

From DSC:
The picture below was posted in the item below from edutopia. What a powerful picture! And not just for art or drama teachers!

Does it not once again illustrate that we are different? The lenses that we view the world through are different. Our learners are different. Each of us comes to a learning experience with different backgrounds, emotions, knowledge…and different real-life experiences.

As the article mentions, we need to create safe and supportive learning environments, where the love of (or at least the enjoyment of) learning can thrive.

 

Getting creative with social and emotional learning (SEL) — from by Maurice Elias, Sara LaHayne
How to incorporate creative expression and movement in the classroom while building social and emotional learning skills.

Excerpt:

Being creative is an inherently vulnerable process. In order to authentically build SEL competencies through creative expression, teachers need to strive to create a safe space, provide time, and open doors for validation.

  • Creating a safe and supportive classroom environment
  • Providing time
  • Opening the doors for validation

 

 
 

Introducing several new ideas to provide personalized, customized learning experiences for all kinds of learners! [Christian]

From DSC:
I have often reflected on differentiation or what some call personalized learning and/or customized learning. How does a busy teacher, instructor, professor, or trainer achieve this, realistically?

It’s very difficult and time-consuming to do for sure. But it also requires a team of specialists to achieve such a holy grail of learning — as one person can’t know it all. That is, one educator doesn’t have the necessary time, skills, or knowledge to address so many different learning needs and levels!

  • Think of different cognitive capabilities — from students that have special learning needs and challenges to gifted students
  • Or learners that have different physical capabilities or restrictions
  • Or learners that have different backgrounds and/or levels of prior knowledge
  • Etc., etc., etc.

Educators  and trainers have so many things on their plates that it’s very difficult to come up with _X_ lesson plans/agendas/personalized approaches, etc.  On the other side of the table, how do students from a vast array of backgrounds and cognitive skill levels get the main points of a chapter or piece of text? How can they self-select the level of difficulty and/or start at a “basics” level and work one’s way up to harder/more detailed levels if they can cognitively handle that level of detail/complexity? Conversely, how do I as a learner get the boiled down version of a piece of text?

Well… just as with the flipped classroom approach, I’d like to suggest that we flip things a bit and enlist teams of specialists at the publishers to fulfill this need. Move things to the content creation end — not so much at the delivery end of things. Publishers’ teams could play a significant, hugely helpful role in providing customized learning to learners.

Some of the ways that this could happen:

Use an HTML like language when writing a textbook, such as:

<MainPoint> The text for the main point here. </MainPoint>

<SubPoint1>The text for the subpoint 1 here.</SubPoint1>

<DetailsSubPoint1>More detailed information for subpoint 1 here.</DetailsSubPoint1>

<SubPoint2>The text for the subpoint 2 here.</SubPoint2>

<DetailsSubPoint2>More detailed information for subpoint 2 here.</DetailsSubPoint2>

<SubPoint3>The text for the subpoint 3 here.</SubPoint3>

<DetailsSubPoint3>More detailed information for subpoint 3 here.</DetailsSubPoint1>

<SummaryOfMainPoints>A list of the main points that a learner should walk away with.</SummaryOfMainPoints>

<BasicsOfMainPoints>Here is a listing of the main points, but put in alternative words and more basic ways of expressing those main points. </BasicsOfMainPoints>

<Conclusion> The text for the concluding comments here.</Conclusion>

 

<BasicsOfMainPoints> could be called <AlternativeExplanations>
Bottom line: This tag would be to put things forth using very straightforward terms.

Another tag would be to address how this topic/chapter is relevant:
<RealWorldApplication>This short paragraph should illustrate real world examples

of this particular topic. Why does this topic matter? How is it relevant?</RealWorldApplication>

 

On the students’ end, they could use an app that works with such tags to allow a learner to quickly see/review the different layers. That is:

  • Show me just the main points
  • Then add on the sub points
  • Then fill in the details
    OR
  • Just give me the basics via an alternative ways of expressing these things. I won’t remember all the details. Put things using easy-to-understand wording/ideas.

 

It’s like the layers of a Microsoft HoloLens app of the human anatomy:

 

Or it’s like different layers of a chapter of a “textbook” — so a learner could quickly collapse/expand the text as needed:

 

This approach could be helpful at all kinds of learning levels. For example, it could be very helpful for law school students to obtain outlines for cases or for chapters of information. Similarly, it could be helpful for dental or medical school students to get the main points as well as detailed information.

Also, as Artificial Intelligence (AI) grows, the system could check a learner’s cloud-based learner profile to see their reading level or prior knowledge, any IEP’s on file, their learning preferences (audio, video, animations, etc.), etc. to further provide a personalized/customized learning experience. 

To recap:

  • “Textbooks” continue to be created by teams of specialists, but add specialists with knowledge of students with special needs as well as for gifted students. For example, a team could have experts within the field of Special Education to help create one of the overlays/or filters/lenses — i.e., to reword things. If the text was talking about how to hit a backhand or a forehand, the alternative text layer could be summed up to say that tennis is a sport…and that a sport is something people play. On the other end of the spectrum, the text could dive deeply into the various grips a person could use to hit a forehand or backhand.
  • This puts the power of offering differentiation at the point of content creation/development (differentiation could also be provided for at the delivery end, but again, time and expertise are likely not going to be there)
  • Publishers create “overlays” or various layers that can be turned on or off by the learners
  • Can see whole chapters or can see main ideas, topic sentences, and/or details. Like HTML tags for web pages.
  • Can instantly collapse chapters to main ideas/outlines.

 

 

Top Trends in Active and Collaborative Learning — from thesextantgroup.com by Joe Hammett

Excerpts:

My daughter is a maker. She spends hours tinkering with sewing machines and slime recipes, building salamander habitats and the like. She hangs out with her school friends inside apps that teach math and problem solving through multi-player games. All the while, they are learning to communicate and collaborate in ways that are completely foreign to their grandparent’s generation. She is 10 years old and represents a shift in human cognitive processing brought about by the mastery of technology from a very young age. Her generation and those that come after have never known a time without technology. Personal devices have changed the shared human experience and there is no turning back.

The spaces in which this new human chooses to occupy must cater to their style of existence. They see every display as interactive and are growing up knowing that the entirety of human knowledge is available to them by simply asking Alexa. The 3D printer is a familiar concept and space travel for pleasure will be the norm when they have children of their own.

Current trends in active and collaborative learning are evolving alongside these young minds and when appropriately implemented, enable experiential learning and creative encounters that are changing the very nature of the learning process. Attention to the spaces that will support the educators is also paramount to this success. Lesson plans and teaching style must flip with the classroom. The learning space is just a room without the educator and their content.

 


8. Flexible and Reconfigurable
With floor space at a premium, classrooms need to be able to adapt to a multitude of uses and pedagogies. Flexible furniture will allow the individual instructor freedom to set up the space as needed for their intended activities without impacting the next person to use the room. Construction material choices are key to achieving an easily reconfigurable space. Raised floors and individually controllable lighting fixtures allow a room to go from lecture to group work with ease. Whiteboard paints and rail mounting systems make walls reconfigurable too!.

Active Learning, Flipped Classroom, SCALE-UP, TEAL Classroom, whatever label you choose to place before it, the classroom, learning spaces of all sorts, are changing. The occupants of these spaces demand that they are able to effectively, and comfortably, share ideas and collaborate on projects with their counterparts both in person and in the ether. A global shift is happening in the way humans share ideas. Disruptive technology, on a level not seen since the assembly line, is driving a change in the way humans interact with other humans. The future is collaborative.

 

 

 

A Space for Learning: A review of research on active learning spaces — from by Robert Talbert and Anat Mor-Avi

Abstract:
Active Learning Classrooms (ALCs) are learning spaces specially designed to optimize the practice of active learning and amplify its positive effects in learners from young children through university-level learners. As interest in and adoption of ALCs has increased rapidly over the last decade, the need for grounded research in their effects on learners and schools has grown proportionately. In this paper, we review the peer-reviewed published research on ALCs, dating back to the introduction of “studio” classrooms and the SCALE-UP program up to the present day. We investigate the literature and summarize findings on the effects of ALCs on learning outcomes, student engagement, and the behaviors and practices of instructors as well as the specific elements of ALC design that seem to contribute the most to these effects. We also look at the emerging cultural impact of ALCs on institutions of learning, and we examine the drawbacks of the published research as well as avenues for potential future research in this area.

 

1: Introduction
1.1: What is active learning, and what is an active learning classroom?
Active learning is defined broadly to include any pedagogical method that involves students actively working on learning tasks and reflecting on their work, apart from watching, listening, and taking notes (Bonwell & Eison, 1991). Active learning has taken hold as a normative instructional practice in K12 and higher education institutions worldwide. Recent studies, such as the 2014 meta-analysis linking active learning pedagogies with dramatically reduced failure rates in university-level STEM courses (Freeman et al., 2014) have established that active learning drives increased student learning and engagement across disciplines, grade levels, and demographics.

As schools, colleges, and universities increasingly seek to implement active learning, concerns about the learning spaces used for active learning have naturally arisen. Attempts to implement active learning pedagogies in spaces that are not attuned to the particular needs of active learning — for example, large lecture halls with fixed seating — have resulted in suboptimal results and often frustration among instructors and students alike. In an effort to link architectural design to best practices in active learning pedagogy, numerous instructors, school leaders, and architects have explored how learning spaces can be differently designed to support active learning and amplify its positive effects on student learning. The result is a category of learning spaces known as Active Learning Classrooms (ALCs).

While there is no universally accepted definition of an ALC, the spaces often described by this term have several common characteristics:

  • ALCs are classrooms, that is, formal spaces in which learners convene for educational activities. We do not include less-formal learning spaces such as faculty offices, library study spaces, or “in-between” spaces located in hallways or foyers.
  • ALCs include deliberate architectural and design attributes that are specifically intended to promote active learning. These typically include moveable furniture that can be reconfigured into a variety of different setups with ease, seating that places students in small groups, plentiful horizontal and/or vertical writing surfaces such as whiteboards, and easy access to learning
    technologies (including technological infrastructure such as power outlets).
  • In particular, most ALCs have a “polycentric” or “acentric” design in which there is no clearly-defined front of the room by default. Rather, the instructor has a station which is either
    movable or located in an inconspicuous location so as not to attract attention; or perhaps there is no specific location for the instructor.
  • Finally, ALCs typically provide easy access to digital and analog tools for learning , such as multiple digital projectors, tablet or laptop computers, wall-mounted and personal whiteboards, or classroom response systems.

2.1: Research questions
The main question that this study intends to investigate is: What are the effects of the use of ALCs on student learning, faculty teaching, and institutional cultures? Within this broad overall question, we will focus on four research questions:

  1. What effects do ALCs have on measurable metrics of student academic achievement? Included in such metrics are measures such as exam scores, course grades, and learning gains on pre/post-test measures, along with data on the acquisition of “21st Century Skills”, which we will define using a framework (OCDE, 2009) which groups “21st Century Skills” into skills pertaining to information, communication, and ethical/social impact.
  2. What effects do ALCs have on student engagement? Specifically, we examine results pertaining to affective, behavioral, and cognitive elements of the idea of “engagement” as well as results that cut across these categories.
  3. What effect do ALCs have on the pedagogical practices and behaviors of instructors? In addition to their effects on students, we are also interested the effects of ALCs on the instructors who use them. Specifically, we are interested in how ALCs affect instructor attitudes toward and implementations of active learning, how ALCs influence faculty adoption of active learning pedagogies, and how the use of ALCs affects instructors’ general and environmental behavior.
  4. What specific design elements of ALCs contribute significantly to the above effects? Finally, we seek to identify the critical elements of ALCs that contribute the most to their effects on student learning and instructor performance, including affordances and elements of design, architecture, and technology integration.

 

Active Learning Classrooms (ALCs)

 

 

The common denominator in the larger cultural effects of ALCs and active learning on students and instructors is the notion of connectedness, a concept we have already introduced in discussions of specific ALC design elements. By being freer to move and have physical and visual contact with each other in a class meeting, students feel more connected to each other and more connected to their instructor. By having an architectural design that facilitates not only movement but choice and agency — for example, through the use of polycentric layouts and reconfigurable furniture — the line between instructor and students is erased, turning the ALC into a vessel in which an authentic community of learners can take form.

 

 

 

 

Augmented Reality In Healthcare Will Be Revolutionary — from medicalfuturist.com

Excerpts:

1) Augmented reality can save lives through showing defibrillators nearby
2) Google Glass might help new mothers struggling with breastfeeding
3) Patients can describe their symptoms better through augmented reality
4) Nurses can find veins easier with augmented reality

5) Motivating runners through zombies
6) Pharma companies can provide more innovative drug information
7) Augmented reality can assist surgeons in the OR
8) Google’s digital contact lens can transform how we look at the world

 

How is AI used in healthcare – 5 powerful real-world examples that show the latest advances — from forbes.com by Bernard Marr

Excerpts:

1) AI-assisted robotic surgery
2) Virtual nursing assistants
3) Aid clinical judgment or diagnosis
4) Workflow and administrative tasks
5) Image analysis

 

 

Summary: A Manager’s guide to Augmented Reality.  — from twnkls.com by Prof. Michael Porter

Excerpt:

The full read can be found at the bottom of this page. But we summarized for you the 4 key take-aways:

  1. AR enables a new information-delivery paradigm
  2. AR helps to visualize
  3. Instruct and guide
  4. Eight AR strategy starting questions

 

 

What’s so great about VR? Virtually everything — from virtuallyinspired.org

Excerpt:

No doubt about it. Virtual reality isn’t just for gamers and gadget geeks anymore. In fact, as the technology gets better and cheaper, VR is the wave of the future when it comes to creating a truly memorable and effective learning experience – and for good reason.

Multiple Learning Attributes. To begin with, it empowers us to create any number of safely immersive virtual learning environments that feel and respond much as they would in real life, as students engage and explore, interact with and manipulate objects within these worlds. Imagine teleporting your students to re-enact historic battles; explore outer space; or travel the inner workings of the human body. What’s more, using sophisticated controls, they can actually “practice” complex procedures like cardiac surgery, or master difficult concepts, such as the molecular properties of brain cells.

Likewise, VR gives new meaning to the term “field trip,” by enabling students to virtually experience first-hand some of the world’s great museums, natural wonders and notable landmarks. You can also embed 360-degree objects within the virtual classroom to support course content, much as Drexel University Online is doing after assembling its one-of-a-kind VRtifacts+ repository.   And you can use it to live-stream events, guest lectures and campus tours, in addition to hosting virtual community spaces where learners can meet and connect in a seemingly “real” environment.

 

 

The Modern Alternative Learning Resource: Time To Drop The Ban On Phones In Schools? — from vrfocus.com by Robert Currie
Robert Currie discusses the mobile phone’s role in education, and how thanks in part to AR and VR it should now be considered a top tool.

 

 

Benefits of Virtual Reality in Education — from invisible.toys

 

 

 

The AVR Platform and Classroom 3.0 Showcased at EduTECH Asia 2018 — from eonreality.com

Excerpt:

At EduTECH Asia 2018 this week in Singapore, EON Reality spent two full days speaking, promoting, and demonstrating the latest updates to the AVR Platform to the thousands of education and technology professionals in attendance.

With a focus on how the AVR Platform can best be used in the education world, EON Reality’s discussion, ‘Augmented and Virtual Reality in Education: The Shift to Classroom 3.0,’ highlighted Wednesday’s offerings with a full presentation and hands-on demos of the new tools in Creator AVR. Over the course of both days, visitors filled the EON Reality booth to get their own one-on-one experience of Creator AVR, Virtual Trainer, and the ways in which AR Assist can help out in the classroom.

The AVR Platform’s three products are the fundamental tools of EON Reality’s Classroom 3.0 vision for the Immersed Flipped Classrooms of the future. With Creator AVR — a SaaS-based learning and content creation solution — leading the way, the AVR Platform empowers Classroom 3.0 by providing teachers and educators of all types with the tools needed to create Augmented and Virtual Reality learning modules.

Bringing Asian educators from all over the continent together, EON Reality’s presence at EduTECH showed just how significantly Augmented Reality and Virtual Reality can elevate the overall educational experience going forward. After two full days of demonstrations, EON Reality introduced the AVR Platform to approximately 1500 teachers, school administration officials, and other decision-makers in Asia’s education industry.

As the AVR Platform expands to educational markets around the world, EON Reality’s revolutionary spin on traditional learning branches into new cultures and nations. With local Singaporean educational institutions like Temasek Polytechnic already onboard, the EduTECH Asia 2018 conference marked the continued spread of Classroom 3.0 and the AVR Platform on both a regional and global level.

 

 

New Virtual 3D Microscope Lab Program Offered for Online Students by Oregon State University — from virtuallyinspired.org
OSU solves degree completion issue for online biology students

Excerpt:

“We had to create an alternative that gives students the foundational experience of being in a lab where they can maneuver a microscope’s settings and adjust the images just as they would in a face-to-face environment,” said Shannon Riggs, the Ecampus director of course development and training.

Multimedia developers mounted a camera on top of an actual microscope and took pictures of what was on the slides. Using 3D modeling software, the photos were interweaved to create 3D animation. Using game development software enabled students to adjust lighting, zoom and manipulate the images, just like in a traditional laboratory. The images were programmed to create a virtual simulation.

The final product is “an interactive web application that utilizes a custom 3D microscope and incorporates animation and real-life slide photos,” according to Victor Yee, an Ecampus assistant director of course development and training.

 

Also see:

  • YouTube to Invest $20 Million in Educational Content — from campustechnology.com by Dian Schaffhauser
    Excerpt:
    YouTube, a Google company, has announced plans to invest $20 million in YouTube Learning, an initiative hinted at during the summer. The goal: “to support education-focused creators and expert organizations that create and curate high-quality learning content on the video site.” Funding will be spent on supporting video creators who want to produce education series and wooing other education video providers to the site.

 

 

From DSC:
Ever notice how effective Ted Talks begin? They seek to instantly grab your attention with a zinger question, a somewhat shocking statement, an interesting story, a joke, an important problem or an issue, a personal anecdote or experience, a powerful image/photo/graphic, a brief demonstration, and the like.

Grabbing someone’s attention is a key first step in getting a piece of information into someone’s short-term memory — what I call getting through “the gate.” If we can’t get through the gate into someone’s short-term memory, we have zero (0) chance of having them actually process that information and to think about and engage with that piece of content. If we can’t make it into someone’s short-term memory, we can’t get that piece of information into their long-term memory for later retrieval/recall. There won’t be any return on investment (ROI) in that case.

 

 

So why not try starting up one of your classes this week with a zinger question, a powerful image/photo/video, or a story from your own work experience? I’ll bet you’ll grab your students’ attentions instantly! Then you can move on into the material for a greater ROI. From there, offering frequent, low-stakes quizzes will hopefully help your students slow down their forgetting curves and help them practice recalling/retrieving that information. By the way, that’s why stories are quite powerful. We often remember them better. So if you can weave an illustrative story into your next class, your students might really benefit from it come final test time!

Also relevant/see:

Ready, set, speak: 5 strong ways to start your next presentation — from abovethelaw.com by Olga Mack, with thanks to Mr. Otto Stockmeyer for this resource
No matter which of these five ways you decide to launch your presentation, ensure that you make it count, and make it memorable.

Excerpts:

  1. Tell a captivating story
  2. Ask thought-provoking questions to the audience
  3. State a shocking headline or statistic
  4. Use a powerful quote
  5. Use silence
    When delivering a speech, a pause of about three or even as many as 10 seconds will allow your audience to sit and quiet down. Because most people always expect the speaker to start immediately, this silence will thus catch the attention of the audience. They will be instinctively more interested in what you had to say, and why you took your time to say it. This time will also help you gather your nerves and prepare to speak.

 

 

 

Reflections on “Inside Amazon’s artificial intelligence flywheel” [Levy]

Inside Amazon’s artificial intelligence flywheel — from wired.com by Steven Levy
How deep learning came to power Alexa, Amazon Web Services, and nearly every other division of the company.

Excerpt (emphasis DSC):

Amazon loves to use the word flywheel to describe how various parts of its massive business work as a single perpetual motion machine. It now has a powerful AI flywheel, where machine-learning innovations in one part of the company fuel the efforts of other teams, who in turn can build products or offer services to affect other groups, or even the company at large. Offering its machine-learning platforms to outsiders as a paid service makes the effort itself profitable—and in certain cases scoops up yet more data to level up the technology even more.

It took a lot of six-pagers to transform Amazon from a deep-learning wannabe into a formidable power. The results of this transformation can be seen throughout the company—including in a recommendations system that now runs on a totally new machine-learning infrastructure. Amazon is smarter in suggesting what you should read next, what items you should add to your shopping list, and what movie you might want to watch tonight. And this year Thirumalai started a new job, heading Amazon search, where he intends to use deep learning in every aspect of the service.

“If you asked me seven or eight years ago how big a force Amazon was in AI, I would have said, ‘They aren’t,’” says Pedro Domingos, a top computer science professor at the University of Washington. “But they have really come on aggressively. Now they are becoming a force.”

Maybe the force.

 

 

From DSC:
When will we begin to see more mainstream recommendation engines for learning-based materials? With the demand for people to reinvent themselves, such a next generation learning platform can’t come soon enough!

  • Turning over control to learners to create/enhance their own web-based learner profiles; and allowing people to say who can access their learning profiles.
  • AI-based recommendation engines to help people identify curated, effective digital playlists for what they want to learn about.
  • Voice-driven interfaces.
  • Matching employees to employers.
  • Matching one’s learning preferences (not styles) with the content being presented as one piece of a personalized learning experience.
  • From cradle to grave. Lifelong learning.
  • Multimedia-based, interactive content.
  • Asynchronously and synchronously connecting with others learning about the same content.
  • Online-based tutoring/assistance; remote assistance.
  • Reinvent. Staying relevant. Surviving.
  • Competency-based learning.

 

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

 

 

 

 

 

 

 

We’re about to embark on a period in American history where career reinvention will be critical, perhaps more so than it’s ever been before. In the next decade, as many as 50 million American workers—a third of the total—will need to change careers, according to McKinsey Global Institute. Automation, in the form of AI (artificial intelligence) and RPA (robotic process automation), is the primary driver. McKinsey observes: “There are few precedents in which societies have successfully retrained such large numbers of people.”

Bill Triant and Ryan Craig

 

 

 

Also relevant/see:

Online education’s expansion continues in higher ed with a focus on tech skills — from educationdive.com by James Paterson

Dive Brief:

  • Online learning continues to expand in higher ed with the addition of several online master’s degrees and a new for-profit college that offers a hybrid of vocational training and liberal arts curriculum online.
  • Inside Higher Ed reported the nonprofit learning provider edX is offering nine master’s degrees through five U.S. universities — the Georgia Institute of Technology, the University of Texas at Austin, Indiana University, Arizona State University and the University of California, San Diego. The programs include cybersecurity, data science, analytics, computer science and marketing, and they cost from around $10,000 to $22,000. Most offer stackable certificates, helping students who change their educational trajectory.
  • Former Harvard University Dean of Social Science Stephen Kosslyn, meanwhile, will open Foundry College in January. The for-profit, two-year program targets adult learners who want to upskill, and it includes training in soft skills such as critical thinking and problem solving. Students will pay about $1,000 per course, though the college is waiving tuition for its first cohort.

 

 

 

 

In the 2030 and beyond world, employers will no longer be a separate entity from the education establishment. Pressures from both the supply and demand side are so large that employers and learners will end up, by default, co-designing new learning experiences, where all learning counts.

 

OBJECTIVES FOR CONVENINGS

  • Identify the skills everyone will need to navigate the changing relationship between machine intelligence and people over the next 10-12 years.
  • Develop implications for work, workers, students, working learners, employers, and policymakers.
  • Identify a preliminary set of actions that need to be taken now to best prepare for the changing work + learn ecosystem.

Three key questions guided the discussions:

  1. What are the LEAST and MOST essential skills needed for the future?
  2. Where and how will tomorrow’s workers and learners acquire the skills they really need?
  3. Who is accountable for making sure individuals can thrive in this new economy?

This report summarizes the experts’ views on what skills will likely be needed to navigate the work + learn ecosystem over the next 10–15 years—and their suggested steps for better serving the nation’s future needs.

 

In a new world of work, driven especially by AI, institutionally-sanctioned curricula could give way to AI-personalized learning. This would drastically change the nature of existing social contracts between employers and employees, teachers and students, and governments and citizens. Traditional social contracts would need to be renegotiated or revamped entirely. In the process, institutional assessment and evaluation could well shift from top-down to new bottom-up tools and processes for developing capacities, valuing skills, and managing performance through new kinds of reputation or accomplishment scores.

 

In October 2017, Chris Wanstrath, CEO of Github, the foremost code-sharing and social networking resource for programmers today, made a bold statement: “The future of coding is no coding at all.” He believes that the writing of code will be automated in the near future, leaving humans to focus on “higher-level strategy and design of software.” Many of the experts at the convenings agreed. Even creating the AI systems of tomorrow, they asserted, will likely require less human coding than is needed today, with graphic interfaces turning AI programming into a drag-and-drop operation.

Digital fluency does not mean knowing coding languages. Experts at both convenings contended that effectively “befriending the machine” will be less about teaching people to code and more about being able to empathize with AIs and machines, understanding how they “see the world” and “think” and “make decisions.” Machines will create languages to talk to one another.

Here’s a list of many skills the experts do not expect to see much of—if at all—in the future:

  • Coding. Systems will be self-programming.
  • Building AI systems. Graphic interfaces will turn AI programming into drag-and-drop operations.
  • Calendaring, scheduling, and organizing. There won’t be need for email triage.
  • Planning and even decision-making. AI assistants will pick this up.
  • Creating more personalized curricula. Learners may design more of their own personalized learning adventure.
  • Writing and reviewing resumes. Digital portfolios, personal branding, and performance reputation will replace resumes.
  • Language translation and localization. This will happen in real time using translator apps.
  • Legal research and writing. Many of our legal systems will be automated.
  • Validation skills. Machines will check people’s work to validate their skills.
  • Driving. Driverless vehicles will replace the need to learn how to drive.

Here’s a list of the most essential skills needed for the future:

  • Quantitative and algorithmic thinking.  
  • Managing reputation.  
  • Storytelling and interpretive skills.  
  • First principles thinking.  
  • Communicating with machines as machines.  
  • Augmenting high-skilled physical tasks with AI.
  • Optimization and debugging frame of mind.
  • Creativity and growth mindset.
  • Adaptability.
  • Emotional intelligence.
  • Truth seeking.
  • Cybersecurity.

 

The rise of machine intelligence is just one of the many powerful social, technological, economic, environmental, and political forces that are rapidly and disruptively changing the way everyone will work and learn in the future. Because this largely tech-driven force is so interconnected with other drivers of change, it is nearly impossible to understand the impact of intelligent agents on how we will work and learn without also imagining the ways in which these new tools will reshape how we live.

 

 

 
© 2025 | Daniel Christian