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.

 

 

 

Three shifts as big as print to digital — from gettingsmart.com by Tom Vander Ark

Excerpts (emphasis DSC):

We just lived through the biggest shift in learning since the printing press—a 25-year shift from print to digital. While it extended access and options to billions, it didn’t prove as transformational as many of us expected. It did, however, set the stage for three shifts that will change what and how people learn.

  1. Basic to broader aims.
  2. Passive to active learning.
  3. Time to demonstrated learning.

 

 

 

What K-12 and higher education can learn from each other — from edweek.org by Ethan Ake-Little

Excerpts:

In 1952, three prep schools—the Lawrenceville School, Phillips Academy, and Phillips Exeter Academy—and three universities—Harvard, Princeton, and Yale—came together to participate in a bold experiment which ultimately introduced the radical concept of allowing high school seniors the chance to study college-level material and take achievement exams for college credit. Thus, the Advanced Placement program was born. More than six decades later, the program continues to offer students an opportunity to pursue college-level content with greater individualized instruction than many first-year college courses.

While the AP program has helped to bridge the gap between K-12 and higher education, both institutions remain largely unaware of how the other operates.

 

Despite stark differences in structure and philosophy, K-12 and higher education cannot avoid the fact that they need one other to serve all students’ educational needs. But to bridge their divide, both K-12 educators and higher education instructors must move outside their comfort zones and immerse themselves in each other’s world. Only then can both sides truly innovate in much the same way they did in 1952 to develop a program that is the hallmark of this partnership today.

 

 

 

 

Why giving kids a roadmap to their brain can make learning easier — from edsurge.com by Megan Nellis

Excerpts:

Learning, Down to a Science
Metacognition. Neuroplasticity. Retrieval Practice. Amygdala. These aren’t the normal words you’d expect to hear in a 15-year-old rural South African’s vocabulary. Here, though, it’s common talk. And why shouldn’t it be? Over the years, we’ve found youth are innately hungry to learn about the inner workings of their mind—where, why and how learning, thinking and decision-making happens. So, we teach them cognitive science.

Over the next three years, we teach students about the software and hardware of the brain. From Carol Dweck’s online Brainology curriculum, they learn about growth mindset, memory and mnemonics, the neural infrastructure of the brain. They learn how stress impacts learning and about neuroplasticity—or how the brain learns. From David Eagleman and Dan Siegel, they learn about the changing landscape of the adolescent brain and how novelty, emotionality and peer relationships aid in learning.

Pulling from books such as Make It Stick and How We Learn, we pointedly teach students about the science behind retrieval practice, metacognition and other strategies. We expressly use them in our classes so students see and experience the direct impact, and we also dedicate a whole class in our program for students to practice applying these strategies toward their own academic learning from school.

 

 

 

Choice: The key to reaching every student — from flr.flglobal.org by Terra Graves

Excerpt:

Who doesn’t like to have a choice?  This seems like a no-brainer to me. Whenever teachers can give their students choices in their learning process, everyone wins. When we have options, we tend to have more ownership of that experience. It also provides us with a sense of control, which most students do not experience in school. In her article on facultyfocus.com, Elizabeth Betsy Lasley EdD writes, “When students are asked to interpret, construct, and demonstrate their concepts or ideas regarding specific course concepts from a selection of product or performance options, content retention, commitment, motivation, and creativity increase.” Flipped Learning environments are ripe for offering choices to students in how they consume content and how they express their learning outcomes. Giving students choice allows us to reach every student, every day because it honors their individuality. Cassie Shoemaker explains it simply in her article Let it go: Giving students choices, “When teachers give students choices as to how they will show what they have learned, students become better problems solvers, more creative, and more engaged.” Problem-solving: It’s not just for math! Students NEED to have opportunities to make decisions in school to learn to make decisions in life. If we continue to spoonfeed and micromanage our students, they won’t learn to figure things out on their own.  Teachers by nature tend to be control freaks (including me). However, when we allow our students to try/fail/try again, we support their growth and confidence.

 

 

 

Connecting Assessment and Learning — from scholarlyteacher.com by Spencer Benson

Excerpt:

Formative assessments provide information on students’ levels of understanding or performance. Formative assessments are designed to facilitate learning and improving teaching, curriculum/course design, and learning progress. They are typically low stakes and inform the teacher and student about current understanding and practices, primarily to improve understanding and performance. Summative assessments are used to evaluate student knowledge, understanding, or performance. Generally, they involve tests to determine grades and rankings.

Many formative assessments facilitate learning and motivate students: the ubiquitous; “are there any questions?”, 1-minute papers, pop quizzes, on-line quizzes, clicker questions, muddiest point, jeopardy games, etc. Formative assessments are frequently low stakes and often assigned a few points to encourage students to complete them. Formative assessment “sans” points are unfortunately often ignored or not taken seriously. How do we adapt summative assessment that captures the developmental aspects of formative assessments?

Below are four suggestions that have been shown to provide for deeper learning. Two approaches are focused on getting students to think about the content in useful ways and two are designed to help students perform better on traditional assessments.

 

 

Multitasking is actually kind of a problem — for kids and adults — from washingtonpost.com by Hayley Tsukayama

Excerpt:

Multitasking is a problem in a couple of ways, Robb said, citing recent neuroscience research on the practice. “Many people think multitasking does not hamper your ability to get things done,” he said. “But multitasking can decrease your ability to get things done well, because you have to reorient. That causes a certain level of cognitive fatigue, which can slow the rate of work.”

 

But Michael Robb, the group’s director of research, said multitasking should no longer be seen as “some desirable trait that makes you the best 21st-century worker.”

 

 

 

 

NEW: The Top Tools for Learning 2018 [Jane Hart]

The Top Tools for Learning 2018 from the 12th Annual Digital Learning Tools Survey -- by Jane Hart

 

The above was from Jane’s posting 10 Trends for Digital Learning in 2018 — from modernworkplacelearning.com by Jane Hart

Excerpt:

[On 9/24/18],  I released the Top Tools for Learning 2018 , which I compiled from the results of the 12th Annual Digital Learning Tools Survey.

I have also categorised the tools into 30 different areas, and produced 3 sub-lists that provide some context to how the tools are being used:

  • Top 100 Tools for Personal & Professional Learning 2018 (PPL100): the digital tools used by individuals for their own self-improvement, learning and development – both inside and outside the workplace.
  • Top 100 Tools for Workplace Learning (WPL100): the digital tools used to design, deliver, enable and/or support learning in the workplace.
  • Top 100 Tools for Education (EDU100): the digital tools used by educators and students in schools, colleges, universities, adult education etc.

 

3 – Web courses are increasing in popularity.
Although Coursera is still the most popular web course platform, there are, in fact, now 12 web course platforms on the list. New additions this year include Udacity and Highbrow (the latter provides daily micro-lessons). It is clear that people like these platforms because they can chose what they want to study as well as how they want to study, ie. they can dip in and out if they want to and no-one is going to tell them off – which is unlike most corporate online courses which have a prescribed path through them and their use is heavily monitored.

 

 

5 – Learning at work is becoming personal and continuous.
The most significant feature of the list this year is the huge leap up the list that Degreed has made – up 86 places to 47th place – the biggest increase by any tool this year. Degreed is a lifelong learning platform and provides the opportunity for individuals to own their expertise and development through a continuous learning approach. And, interestingly, Degreed appears both on the PPL100 (at  30) and WPL100 (at 52). This suggests that some organisations are beginning to see the importance of personal, continuous learning at work. Indeed, another platform that underpins this, has also moved up the list significantly this year, too. Anders Pink is a smart curation platform available for both individuals and teams which delivers daily curated resources on specified topics. Non-traditional learning platforms are therefore coming to the forefront, as the next point further shows.

 

 

From DSC:
Perhaps some foreshadowing of the presence of a powerful, online-based, next generation learning platform…?

 

 

 
 

Where Do I Even Start? — from byrdseed.com by Ian Byrd
Three places to begin differentiating for gifted kids

Excerpts:

I get lots of questions from overwhelmed folks who have suddenly landed in a new job in gifted ed and have had little training (heck, sounds a lot like me on my first day!).

“Where do I even start!?” is a very common cry. Here are three places to begin differentiating for gifted kids.

1. Pre-Assess
Pre-assessment is key! Without it, you’re setting out on a journey with no map and no compass. You have to know where your students are at before you differentiate.

2. Accelerate
Once you see where your students are at, the simplest way to differentiate is just to go faster! Acceleration can happen at many levels…

3. Give Complex Work, Not Merely Difficult Work
Many of you have attended my full-day workshop on the difference between difficulty and complexity. I think this difference is key for planning quality differentiated tasks that aren’t just more work.

 

From DSC to teachers and professors:
Should these posters be in your classroom? The posters each have a different practice such as:

  • Spaced practice
  • Retrieval practice
  • Elaboration
  • Interleaving
  • Concrete examples
  • Dual coding

That said, I could see how all of that information could/would be overwhelming to some students and/or the more technical terms could bore them or fly over their heads. So perhaps you could boil down the information to feature excerpts from the top sections only that put the concepts into easier to digest words such as:

  • Practice bringing information to mind
  • Switch between ideas while you study
  • Combine words and visuals
  • Etc. 

 

Learn how to study using these practices

 

 

30 Sites and Apps for Digital Storytelling — from cyber-kap.blogspot.com

Excerpt:

Digital Storytelling is the process of telling a story through the use of digital means. Also, it happens to be one the easiest ways to integrate technology into the classroom. Educators can use digital storytelling w/ almost any subject and can even “flip” their classroom by using mobile apps. Below is my comprehensive list of sites/apps that can be used for digital storytelling…

 

 

Flexible Classrooms: Research Is Scarce, But Promising — from amp.edutopia.org by Stephen Merrill
An ambitious study of 153 classrooms in the United Kingdom provides the best evidence that flexible spaces can boost academic performance.

Excerpt:

Despite the challenges, an ambitious effort to study the design of lived-in classrooms, including looking at hard-to-define factors like flexibility, was completed in 2015 by the University of Salford, in the United Kingdom. Researchers put in the legwork, visiting 153 classrooms in 27 schools across the country—from small, remote village schools to much larger suburban buildings on the outskirts of metropolitan London. In the end, the effect of classroom design on academic performance was studied across 3,766 British children aged 5 to 11.

“We were trying to take a holistic perspective,” explained Peter Barrett, the lead researcher and now an honorary research fellow at the University of Oxford. “In other words, we were trying to look at spaces as experienced by people. So this isn’t just air quality, this isn’t just temperature, or an effort to measure the factors separately. This is the whole lot together.”

THE FINDINGS

The study looked at three dimensions of classroom design: naturalness (factors like light and temperature), stimulation (factors like color and visual complexity), and individualization (factors like flexibility and student ownership).

The big insight? Optimizing all of these physical characteristics of primary classrooms improved academic performance in reading, writing, and mathematics by 16 percent. The personalization of classrooms—including flexibility, which Barrett defined as “student choice within the space”—accounted for a full quarter of that improvement.

 

The takeaway: Flexibility, combined with characteristics like acoustics and air quality, has a real impact on student achievement. If used properly, flexible classrooms produce better academic outcomes among primary school children than more traditional, static classroom designs.

 



Also see the work of:


 

 

Why demand originality from students in online discussion forums? — from facultyfocus.com by Ronald Jones

Excerpt:

Tell me in your own words
Why demand originality? In relating to a traditional classroom discussion, do students respond to the professor’s question by opening up the textbook or searching for the answer on the Internet and then reading off the answer? Some might try, but by asking questions the professor is looking to see if the students grasp the discussed concept, not if they know how and where to find the answer.

Online students have the advantage of reflection time, along with having the textbook and Internet search engine open when responding to discussion questions. With a few simple clicks, virtually any question can be answered by searching the Internet. Once again, why demand originality? Classroom learning takes place when students are required to think; that’s a few steps beyond clicking copy and paste. As instructors, we should encourage our students to be resourceful and to learn the skills of locating and incorporating scholarly literature into their work. But we also must instill the learning value of synthesizing sources in such a manner that produces evidence of gained knowledge.

 

From DSC:
I like the idea of asking students to put it into their own words. Not just to get by the issue of copying/pasting or trying to stem plagiarism, but because it’s more along the line of journaling about our learning. We need to actually engage with some content in order to put that content into our own words. Not outsourcing our learning to others. Journaling can help us clarify what we’re understanding and where we still have questions and/or concerns.

 

 

Encouraging participation of all in the course: Moving from intact classes to individuals students — from scholarlyteacher.com by Todd Zakrajsek, University of North Carolina, Chapel Hill

Excerpts:

During every class session, read the room by watching individuals. Are students taking notes, nodding along as others speak, or even advancing the discussion by building on the comments of classmates? Are verbal responses merely defining terminology, or do they make connections between the text and real-world examples? Analyze the extent to which certain examples or content areas are received by individual students. Take note when student responses are merely noise to fill the void when you are not talking. Overall, look for individual characteristics that emerge within your course as a community of learning is being established.

Keep in mind that it is often less threatening to one’s ego to claim a lack of preparation for class than it is to admit that one is finding it difficult to understand the material. For those who need a bit of motivation to come prepared, a quiz at the beginning of class will help students to come to class ready to discuss the material for that day.


As all students are pressed for time these days, a quiz might be the added motivation that most students need. These quizzes do not need to be extremely challenging, but they should be challenging enough to ensure the required preparation is done. That is, one should not be able to get responses correct simply by guessing. For students who do not understand the material, quizzes will not prepare them to engage in class discussions or to answer your questions during a discussion lecture. For those students, failed quizzes might add additional pressure and cause less engagement with the material. Struggling students who are not prepared for class need assistance to understand the material. Carefully structured small group projects and discussions might be the best way to get their voices into the class. Ask increasingly difficult questions as part of the discussion, and when you know you have struggling students reserve some of the easier questions for those students.

 

 

Gen Zers look to teachers first, YouTube second for instruction — from campustechnology.com by Dian Schaffhauser

Excerpt:

Students in Generation Z would rather learn from YouTube videos than from nearly any other form of instruction. YouTube was designated as the preferred mode of learning by 59 percent of Gen Zers in a survey on the topic, compared to in-person group activities with classmates (mentioned by 57 percent), learning applications or games (47 percent) and printed books (also 47 percent). A majority (55 percent) believe that YouTube has “contributed to their education.” In fact, nearly half of survey participants (47 percent) reported spending three or more hours every day on YouTube.

The only method of instruction that beat out YouTube? Teachers. Almost four in five Gen Zers (78 percent) reported that their instructors “are very important to learning and development.” That’s nearly 20 percentage points higher than the YouTube option.

While Millennials also value teachers above all else for learning (chosen by 80 percent), that’s followed by printed books (60 percent), YouTube (55 percent), group activities (47 percent) and apps or games (41 percent).

 

 

Also, see the work from Pooja K. Agarwal | @PoojaAgarwal
Assistant Professor, Cognitive Scientist, & Former K-12 Teacher. Follow  and subscribe for teaching strategies at .

An example posting:

Retrieve, Space, Elaborate, and Transfer with Connection Notebooks — from retrievalpractice.org

Excerpts:

How can we encourage students to retrieve, elaborate, and connect with course content? Here’s a strategy called Connection Notebooks by James M. Lang, Professor at Assumption College. Connection Notebooks include retrieval practice, spacing, elaboration, and transfer – all in five minutes or less!

Ask students to dedicate a specific notebook as their Connection Notebook at the beginning of the semester (or provide one for them) and have them to bring it to class every day. Approximately once a week, ask students to take out their Connection Notebook and write a one-paragraph response to a “connection prompt” at the end of class. For example:

  • How does what you learned today connect to something you’ve learned in another class?
  • Have you ever encountered something you learned today in a TV show, movie, song, or book?
  • Have you ever experienced something you learned today in your life outside of school?


Connection Notebooks are effective for a few reasons:

 

 

Also, see the work from Learning Scientists | @AceThatTest | learningscientists.org

An example posting:

 

In this digest, we put together 5 blog posts by teachers that focus on implementing spaced practice in one specific subject at a time. For more of an overview of spaced practice, see this guest post by Jonathan Firth (@JW_Firth).

 

sapced practice in practice
 

 
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