education reform

Artificial Intelligence in Education: Where It’s At, Where It’s Headed — from gettingsmart.com by Cameron Paterson

Excerpt:

Artificial intelligence is predicted to fundamentally alter the nature of society by 2040. Investment in AI start-ups was estimated at $6-$9 billion in 2016, up from US$415 million four years earlier. While futurist Ray Kurzweil argues that AI will help us to address the grand challenges facing humanity, Elon Musk warns us that artificial intelligence will be our “biggest existential threat.” Others argue that artificial intelligence is the future of growth. Everything depends on how we manage the transition to this AI-era.

In 2016 the Obama administration released a national strategic plan for artificial intelligence and, while we do not all suddenly now need a plan for artificial intelligence, we do need to stay up to date on how AI is being implemented. Much of AI’s potential is yet to be realized, but AI is already running our lives, from Siri to Netflix recommendations to automated air traffic control. We all need to become more aware of how we are algorithmically shaped by our tools.

This Australian discussion paper on the implications of AI, automation and 21st-century skills, shows how AI will not just affect blue-collar truck drivers and cleaners, it will also affect white-collar lawyers and doctors. Automated pharmacy systems with robots dispensing medication exist, Domino’s pizza delivery by drone has already occurred, and a fully automated farm is opening in Japan.

Education reformers need to plan for our AI-driven future and its implications for education, both in schools and beyond. The never-ending debate about the sorts of skills needed in the future and the role of schools in teaching and assessing them is becoming a whole lot more urgent and intense.

AI Experts Want to End ‘Black Box’ Algorithms in Government — from wired.com by Tom Simonite

Excerpt:

The right to due process was inscribed into the US constitution with a pen. A new report from leading researchers in artificial intelligence cautions it is now being undermined by computer code.

Public agencies responsible for areas such as criminal justice, health, and welfare increasingly use scoring systems and software to steer or make decisions on life-changing events like granting bail, sentencing, enforcement, and prioritizing services. The report from AI Now, a research institute at NYU that studies the social implications of artificial intelligence, says too many of those systems are opaque to the citizens they hold power over.

The AI Now report calls for agencies to refrain from what it calls “black box” systems opaque to outside scrutiny. Kate Crawford, a researcher at Microsoft and cofounder of AI Now, says citizens should be able to know how systems making decisions about them operate and have been tested or validated. Such systems are expected to get more complex as technologies such as machine learning used by tech companies become more widely available.

“We should have equivalent due-process protections for algorithmic decisions as for human decisions,” Crawford says. She says it can be possible to disclose information about systems and their performance without disclosing their code, which is sometimes protected intellectual property.

UAE appoints first-ever Minister for Artificial Intelligence — from tribune.com.pk

“We announce the appointment of a minister for artificial intelligence. The next global wave is artificial intelligence and we want the UAE to be more prepared for it.”

Tech Giants Are Paying Huge Salaries for Scarce A.I. Talent — from nytimes.com by Cade Metz
Nearly all big tech companies have an artificial intelligence project, and they are willing to pay experts millions of dollars to help get it done.

Excerpt:

Tech’s biggest companies are placing huge bets on artificial intelligence, banking on things ranging from face-scanning smartphones and conversational coffee-table gadgets to computerized health care and autonomous vehicles. As they chase this future, they are doling out salaries that are startling even in an industry that has never been shy about lavishing a fortune on its top talent.

Typical A.I. specialists, including both Ph.D.s fresh out of school and people with less education and just a few years of experience, can be paid from $300,000 to $500,000 a year or more in salary and company stock, according to nine people who work for major tech companies or have entertained job offers from them. All of them requested anonymity because they did not want to damage their professional prospects.

With so few A.I. specialists available, big tech companies are also hiring the best and brightest of academia. In the process, they are limiting the number of professors who can teach the technology.

Where will AI play? By Mike Quindazzi.

Where will #AI play? #ArtificialIntelligence aims to drive #innovation and #disruption across every industry. #MachineLearning #Robotics pic.twitter.com/SdcxQwDifK

— Mike Quindazzi ? (@MikeQuindazzi) October 23, 2017

Freelancers predicted to become the U.S. workforce majority within a decade, with nearly 50% of millennial workers already freelancing, annual “Freelancing in America” study finds — from globenewswire.com, by Upwork and Freelancers Union
Freelance workforce growth is accelerating and has outpaced overall U.S. workforce growth by 3x since 2014
Work is changing rapidly, FIA finds, due to the impacts of automation, and freelancers are better equipped for the future due to more frequent reskilling

Excerpt:

NEW YORK and MOUNTAIN VIEW, Calif., Oct. 17, 2017 (GLOBE NEWSWIRE) — Upwork and Freelancers Union today released the results of “Freelancing in America : 2017” (FIA), the most comprehensive measure of the U.S. independent workforce. The fourth annual study estimates that 57.3 million Americans are freelancing (36 percent of the U.S. workforce) and contribute approximately $1.4 trillion annually to the economy, an increase of almost 30% since last year. Full study results are available here.

Most notable findings reveal:

Freelancers are better prepared for the future – As work changes, 54 percent of the U.S. workforce said they’re not very confident that work they do will exist in 20 years. Reskilling is therefore critical. 55 percent of freelancers participated in skill-related education in the last six months versus only 30 percent of non-freelancers.
The majority of the U.S. workforce will soon freelance – At its current growth rate, we will reach this milestone by 2027.
People are increasingly freelancing by choice – Asked whether they started freelancing more by choice or necessity, 63 percent of freelancers said by choice — up 10 points (from 53 percent) since 2014.
Stability is being redefined – Freelancers increasingly think that having a diversified portfolio of clients is more secure than one employer (63 percent agree, up 10 points since 2016) and have an average of 4.5 clients per month.
While finances are a challenge for all, freelancers experience a unique concern — income predictability. The study found that, with the ebbs and flows of freelancing, full-time freelancers dip into savings more often (63 percent at least once per month versus 20 percent of full-time non-freelancers).

Also see the study at:

From DSC:
Seriously folks, what does this mean for our curriculum?

For colleges, community colleges, & universities: The new, exponential pace of change. [Christian]

On 10/18/2017, in 21st century, adult learning, algorithms, analytics, Artificial Intelligence / Machine Learning / Deep Learning, bots, career development, change, changing business models, Christian education, cognitive computing, colleges, community colleges, dangers of the status quo, Daniel S. Christian, education reform, experimentation, higher education, ideas, innovation, internet, learning, Lifelong learning, Mobile technologies, organizational change, pace of change, reinvent, robotics, society, staying relevant, strategy, surviving, technology (general), training / L&D, trends, United States, universities, vision, wearables, workplace, by Daniel Christian

From DSC:
Some of the largest waves of change that are hitting the beaches of numerous societies throughout the globe are coming from technological changes such as:

Artificial intelligence (which includes things like machine learning, deep learning, natural language processing, personal assistants, bots, algorithms, and the like)
Big data and analytics
Robotics
The digital transformation of businesses
New forms of human computer interaction such as virtual reality, augmented reality and mixed reality
Mobile computing
Cloud computing
The Internet of Things
Wearables
…and more

But in all of these developments, what is common amongst them is that the pace of change has changed. It’s much faster now. In fact, we are no longer on a linear path of slow, steady, incremental changes. We are now on an exponential trajectory – or pace – of change.

This new pace of change is starting to have profound implications for societies, individuals, institutions of higher education, and workforces throughout the globe. Some of these ramifications include:

Profound modifications to the existing workforce; in some cases, staff reductions
New fields, new positions
New skillsets that require highly-educated individuals as well as a massive amount of additional training for existing employees
New methods of learning and the requirement for lifelong, constant learning from here on out
The need to become more responsive and nimble
The need to pulse-check a variety of landscapes to ascertain the best potential strategies to pursue (in light of the potential upcoming scenarios)

Yet the changes aren’t just arising from technological changes. For institutions of higher education, there have been other areas of change that bring with them significant impact, such as:

Decreases in state funding
The increasing costs of healthcare and benefits for faculty, staff, and administrators
Headwinds from demographic-related declines (depending upon one’s geographic location)
Aging facilities and infrastructures
…and more.

Navigating these rough waters is not easy. But the key questions now are:

Is your institution poised to ride the waves of change or is it about to get crushed by these same waves?

Is someone at your organization looking out for these oncoming waves?
That is, is someone pulse-checking a variety of landscapes to ascertain the trends that are developing, trends that could significantly impact your institution and/or your students?

What are some of the ways that your organization could respond to these waves of change to positively impact the following parties?
- Your organization
  What new programs could be offered at your institution? How is the level of responsiveness at your institution to these changes?
- Your students
  Many jobs that your students will have in their futures haven’t even been invented yet. How can you best develop them to be ready for the new, exponential pace of change? How are you helping your graduates who (increasingly) need to come back to your institution and reinvent themselves – quickly, conveniently, and cost-effectively?
- Your employees
  Given all of this change, the professional growth of your own faculty members, staff, and members of your administration is extremely important. How are you looking after their growth?

Would you use the word “innovative” to describe the culture of your organization? That is, is your institution willing to experiment and take some calculated risks? To take no action or risks in the current environment is likely the biggest risk of all.

For institutions of higher education: Some of the ways to respond to the new, exponential pace of change [Christian]

On 10/18/2017, in 21st century, adult learning, algorithms, Amazon, analytics, Artificial Intelligence / Machine Learning / Deep Learning, augmented reality, Blockchain, bots, business, business side of he, career development, change, Christian education, cognitive computing, colleges, community colleges, consortiums, dangers of the status quo, Daniel S. Christian, data mining, digital learning, distance education, education reform, elearning, emerging technologies, expectations, experimentation, future, future of higher education, game-changing environment, global / globalization, higher education, human-computer interaction (HCI), ideas, innovation, interaction design, interface design, internet, leadership, learning ecosystem, learning from the living [class] room, Lifelong learning, machine-to-machine communications, Michigan, Mixed reality, online learning, organizational change, pace of change, parents, personalized/customized learning, platforms, pooling resources, real-world assignments, reinvent, society, staying relevant, strategy, streams of content, student-related, surviving, technology (general), traditional / tradition, trends, United States, universities, user experience (UX), user interface design, virtual reality / worlds / learning, vision, by Daniel Christian

From DSC:
In Part I, I looked at the new, exponential pace of change that colleges, community colleges and universities now need to deal with – observing the enormous changes that are starting to occur throughout numerous societies around the globe. If we were to plot out the rate of change, we would see that we are no longer on a slow, steady, incremental type of linear pathway; but, instead, we would observe that we are now on an exponential trajectory (as the below graphic from sparks & honey very nicely illustrates).

How should colleges and universities deal with this new, exponential pace of change?

1) I suggest that you ensure that someone in your institution is lifting their gaze and peering out into the horizons, to see what’s coming down the pike. That person – or more ideally, persons – should also be looking around them, noticing what’s going on within the current landscapes of higher education. Regardless of how your institution tackles this task, given that we are currently moving at an incredibly fast pace, this trend analysis is very important. The results from this analysis should immediately be integrated into your strategic plan. Don’t wait 3-5 years to integrate these new findings into your plan. The new, exponential pace of change is going to reward those organizations who are nimble and responsive.

2) I recommend that you look at what programs you are offering and consider if you should be developing additional programs such as those that deal with:

Artificial Intelligence (Natural Language Processing, deep learning, machine learning, bots)
New forms of Human Computer Interaction such as Augmented Reality, Virtual Reality, and Mixed Reality
User Experience Design, User Interface Design, and/or Interaction Design
Big data, data science, working with data
The Internet of Things, machine-to-machine communications, sensors, beacons, etc.
Blockchain-based technologies/systems
The digital transformation of business
Freelancing / owning your own business / entrepreneurship (see this article for the massive changes happening now!)
…and more

3) If you are not already doing so, I recommend that you immediately move to offer a robust lineup of online-based programs. Why do I say this? Because:

Without them, your institution may pay a heavy price due to its diminishing credibility. Your enrollments could decline if learners (and their families) don’t think they will get solid jobs coming out of your institution. If the public perceives you as a dinosaur/out of touch with what the workplace requires, your enrollment/admissions groups may find meeting their quotas will get a lot harder as the years go on. You need to be sending some cars down the online/digital/virtual learning tracks. (Don’t get me wrong. We still need the liberal arts. However, even those institutions who offer liberal arts lineups will still need to have a healthy offering of online-based programs.)
Online-based learning methods can expand the reach of your faculty members while offering chances for individuals throughout the globe to learn from you, and you from them
Online-based learning programs can increase your enrollments, create new revenue streams, and develop/reach new markets
Online-based learning programs have been proven to offer the same learning gains – and sometimes better learning results than – what’s being achieved in face-to-face based classrooms
The majority of pedagogically-related innovations are occurring within the online/digital/virtual realm, and you will want to have built the prior experience, expertise, and foundations in order to leverage and benefit from them
Faculty take their learning/experiences from offering online-based courses back into their face-to-face courses
Due to the increasing price of obtaining a degree, students often need to work to help get them (at least part of the way) through school; thus, flexibility is becoming increasingly important and necessary for students
An increasing number of individuals within the K-12 world as well as the corporate world are learning via online-based means. This is true within higher education as well, as, according to a recent report from Digital Learning Compass states that “the number of higher education students taking at least one distance education course in 2015 now tops six million, about 30% of all enrollments.”
Families are looking very closely at their return on investments being made within the world of higher education. They want to see that their learners are being prepared for the ever-changing future that they will encounter. If people in the workforce often learn online, then current students should be getting practice in that area of their learning ecosystems as well.
As the (mostly) online-based Amazon.com is thriving and retail institutions such as Sears continue to close, people are in the process of forming more generalized expectations that could easily cross over into the realm of higher education. By the way, here’s how our local Sears building is looking these days…or what’s left of it.

4) I recommend that you move towards offering more opportunities for lifelong learning, as learners need to constantly add to their skillsets and knowledge base in order to remain marketable in today’s workforce. This is where adults greatly appreciate – and need – the greater flexibility offered by online-based means of learning. I’m not just talking about graduate programs or continuing studies types of programs here. Rather, I’m hoping that we can move towards providing streams of up-to-date content that learners can subscribe to at any time (and can drop their subscription to at any time). As a relevant side note here, keep your eyes on blockchain-based technologies here.

5) Consider the role of consortia and pooling resources. How might that fit into your strategic plan?

6) Consider why bootcamps continue to come onto the landscape. What are traditional institutions of higher education missing here?

7) And lastly, if one doesn’t already exist, form a small, nimble, innovative group within your organization — what I call a TrimTab Group — to help identify what will and won’t work for your institution.

Where does personalized learning end and special education begin? [Baker]

On 09/25/2017, in accessibility, education, education reform, ideas, K-12 related, learning, pedagogy, personalized/customized learning, special needs, student-related, teachers, teaching & learning, by Daniel Christian

Where does personalized learning end and special education begin? — from edsurge.com by Stefanina Baker

Excerpt:

It’s the start of a new school year and the air is full of promise. I’ve set up my room, made my copies and attended all of my meetings. As students flood into the school, I’m charged with positive energy and hope.

But as I peruse my class list and the academic data that accompanies it, anxiety sets in. I’ve committed to personalizing learning, but how can I do that for every student in my inclusion classroom when the range of abilities among them is so vast?

This is my third year teaching at William Penn High School in the Colonial School District in New Castle, Delaware. Dually certified in special education and English Language Arts, I teach an ELA inclusion class to 11th and 12th graders, which means I serve students with and without Individualized Education Plans (IEPs) in the same setting. Additionally, I manage a caseload of 18 students with IEPs, and enter goals and progress for over 60 other students.

A core element of my job has always been to consider how I can tailor instruction to meet the needs of each student—that’s the crux of special education. IEPs are legal documents designed to include specific goals, objectives and strategies for how to modify instruction to meet each student’s needs. Personalized learning doesn’t seem that far off—but meeting the needs of every student in an inclusion class when some have IEPs and some do not can get hairy.

It also raises some questions around where special education practices and personalized learning intersect.

Does personalized learning mean every student gets an IEP? Does it mean that students who had an IEP no longer need one because now every learner is receiving tailored instruction? Can I use the same measuring tools to gauge growth for all students? Should it be different than how I was teaching before?

I’d like to see special education take a front seat in conversations about personalized learning.

It’s Time for Student Agency to Take Center Stage — from gettingsmart.com by Marie Bjerede and Michael Gielniak

Excerpt:

Jason took ownership of his class project, exhibiting agency. Students who take ownership go beyond mere responsibility and conscientiously completing assignments. These students are focused on their learning, rather than their grade. They are genuinely interested in their work and are as likely as not to get up and work on a project on a Saturday morning, even though they don’t have to (and without considerations of extra credit.)

They complete their homework on time and may well go above and beyond, and they have interesting thoughts to add to classroom dialog. For many teachers, they are a joy to teach, but they are also the ones who may ask the hard questions and they may be quick to point out what they see as hypocrisy in the authority figures.

“Responsible” students, on the other hand, are compliant. Most teachers think they are a joy to teach. They complete their homework without fail, and pay attention and participate in class. These are the kids typically considered “good” students. They usually win most of the academic awards because they are thought of as the “best and brightest.”

Responsible students are concerned about their grades, and can be identified when they ask questions like::

“Will that be on the test?”
“How many words do I have to write?”
“What does it take to get an A?”

Students who take ownership, on the other hand ask questions like:

“There are several different viewpoints on this subject so why is that, and what does it mean?
“Is what you are teaching, or what is in my textbook, consistent with my research?”
“Why is this important?”

Compliance or agency? We need to decide.

The past decades have been the age of the responsible, compliant student. Students who used to be able to get into college and then immediately secure a good job. But the world and the workforce have changed.

The vast majority of lessons in K-12 and lectures in higher education should be recorded. Here’s why. [Christian]

On 09/20/2017, in 21st century, 24x7x365 access, A/V -- audio/visual, Christian education, colleges, community colleges, Content aggregration, content development, content repositories, Daniel S. Christian, digital learning, education, education reform, education technology, higher education, ideas, iPad, K-12 related, learning, learning ecosystem, lecture capture, multimedia, online learning, online media, parents, pedagogy, personalized/customized learning, platforms, productivity / tips and tricks, RSS, Smart/Connected TV, streams of content, student-related, teachers, teaching & learning, Technologies for your home, tools, United States, Universal Design for Learning (UDL), universities, user experience (UX), Using teams, vendors, youth, by Daniel Christian

From DSC:
The vast majority of the lessons being offered within K-12 and the lectures (if we’re going to continue to offer them) within higher education should be recorded.

Why do I say this?

Well…first of all…let me speak as a parent of 3 kids, one of whom requires a team of specialists to help her learn. When she misses school because she’s out sick, it’s a major effort to get her caught up. As a parent, it would be soooooo great to log into a system and obtain an updated digital playlist of the lessons that she’s missed. She and I could click on the links to the recordings in order to see how the teacher wants our daughter to learn concepts A, B, and C. We could pause, rewind, fast forward, and replay the recording over and over again until our daughter gets it (and I as a parent get it too!).

I realize that I’m not saying anything especially new here, but we need to do a far better job of providing our overworked teachers with more time, funding, and/or other types of resources — such as instructional designers, videographers and/or One-Button Studios, other multimedia specialists, etc. — to develop these recordings. Perhaps each teacher — or team — could be paid to record and contribute their lessons to a pool of content that could be used over and over again. Also, the use of RSS feeds and content aggregators such as Feedly could come in handy here as well. Parents/learners could subscribe to streams of content.

Such a system would be a huge help to the teachers as well. They could refer students to these digital playlists as appropriate — having updated the missing students’ playlists based on what the teacher has covered that day (and who was out sick, at another school-sponsored event, etc.). They wouldn’t have to re-explain something as many times if they had recordings to reference.

—–

Also, within the realm of higher education, having recordings/transcripts of lectures and presentations would be especially helpful to learners who take more time to process what’s being said. And while that might include ESL learners here in the U.S., such recordings could benefit the majority of learners. From my days in college, I can remember trying to write down much of what the professor was saying, but not having a chance to really process much of the information until later, when I looked over my notes. Finally, learners who wanted to review some concepts before a mid-term or final would greatly appreciate these recordings.

Again, I realize this isn’t anything new. But it makes me scratch my head and wonder why we haven’t made more progress in this area, especially at the K-12 level…? It’s 2017. We can do better.

Some relevant tools here include:

One Button Studio
Swivl
Double Robotics Telepresence Robots (especially helpful for learners who need to be at home or in a hospital for a while)
Echo 360
Panopto
Mediasite
Blackboard Collaborate
Explain Everything
ScreenFlow (on the Mac); also see Telestream‘s other products as well
Educreations
Adobe Captivate
Several products from Techsmith
…and more

Global Human Capital Report 2017 [World Economic Forum]

On 09/18/2017, in 21st century, adult learning, algorithms, Artificial Intelligence / Machine Learning / Deep Learning, Asia, Australia, Canada, career development, collaboration, communications, corporate / business world, corporate universities / corporate training, creativity, design, economics, education, education reform, Europe, future, game-changing environment, generational differences, global / globalization, heutagogy, higher education, ideas, India, innovation, K-12 related, leadership, learning, learning ecosystem, Lifelong learning, pace of change, reinvent, robotics, society, sociology, staying relevant, strategy, student-related, surviving, technology (general), training / L&D, trends, UK, United States, workplace, youth, by Daniel Christian

Global Human Capital Report 2017 — from the World Economic Forum

Excerpt from the Conclusion section (emphasis DSC):

Technological change and its impact on labour markets calls for a renewed focus on how the world’s human capital is invested in and leveraged for social well-being and economic prosperity for all. Many of today’s education systems are already disconnected from the skills needed to function in today’s labour markets and the exponential rate of technological and economic change is further increasing the gap between education and labour markets. Furthermore, the premise of current education systems is on developing cognitive skills, yet behavioural and non-cognitive skills that nurture an individual’s capacity to collaborate, innovate, self-direct and problem-solve are increasingly important. Current education systems are also time-compressed in a way that may not be suited to current or future labour markets. They force narrow career and expertise decisions in early youth. The divide between formal education and the labour market needs to be overcome, as learning, R&D, knowledge-sharing, retraining and innovation take place simultaneously throughout the work life cycle, regardless of the job, level or industry.

Insert from DSC…again I ask:

“Is is time to back up a major step and practice design thinking on the entire continuum of lifelong learning?”

Education delivery and financing mechanisms have gone through little change over the last decades. In many countries, many youth and children may find their paths constrained depending on the type of education they are able to afford, while others may not have access to even basic literacy and learning. On the other hand, many developed world education systems have made enormous increases in spending—with little explicit return. Early childhood education and teacher quality remain neglected areas in many developed and developing countries, despite their proven impact on learning outcomes. Both areas also suffer from lack of objective, global data.

Generational shifts also necessitate an urgent focus by governments on human capital investments, one that transcends political cycles. Ageing economies will face a historical first, as more and more of their populations cross into the 65 and over age group and their workforces shrink further, necessitating a better integration of youth, female workers, migrants and older workers. Many emerging economies face change of a different kind as a very large cohort of the next generation—one that is more connected and globalized than ever before—enters the workforce with very different aspirations, expectations and worldviews than their predecessors.

The expansion of the digital economy is accelerating the presence of a new kind of productive entity, somewhere between human capital and physical capital—robots and intelligent algorithms. As a result, some experts expect a potential reduction in the use of human labour as part of economic value creation while others expect a restructuring of the work done by people across economies but stable or growing overall levels of employment.¹⁹ Yet others have cautioned of the risks to economic productivity of technological reticence at the cost of realizing the raw potential of new technological advancements unfettered.²⁰ While in the immediate term the link between work and livelihoods remains a basic feature of our societies, the uncertainty around the shifts underway poses fundamental questions about the long-term future structure of economies, societies and work. However, for broad-based transition and successful adaptation towards any one of these or other long-term futures, strategic and deep investments in human capital will be even more—not less—important than before.

“Personalized learning seeks to accelerate student learning by tailoring the instructional environment — what, when, how, and where students learn — to address the individual needs, skills, and interests of each student. Students can take ownership of their own learning, while also developing deep, personal connections with each other, their teachers, and other adults.”

WE’VE ALWAYS HAD FOUR STRONG BELIEFS:

Students’ ownership of their learning is critical to long-term success.
When it comes to learning, students should get more of what they need exactly when they need it.
Ensuring equity requires getting each student what he or she needs to succeed.
It is possible to redesign schools to work much better for students and teachers.

We do not believe that there is yet definitive proof that personalized learning works better than other models. Ultimately, we hope that personalized learning will improve life outcomes for students, with clear evidence to support its efficacy. In the interim, we look to traditional academic measures (e.g. state assessments or assessments like NWEA MAP), to provide early signs of the efficacy of personalized learning.

Despite the lack of conclusive proof, there are two important data sets that we find compelling. First, RAND conducted a study of 11,000 students and 62 personalized learning schools nationally and found that “students made significant gains in mathematics and reading overall, and in elementary and middle schools [1].” More recently, RAND published the third of its studies of personalized learning. It again found statistically significant gains in math, however, the effect size had decreased notably [2].

Technology Moves to the Head of the 21st Century Classroom — from technologyreview.com

Tomorrow’s jobs will demand collaborative workers steeped in hands-on problem solving. To that end, digital learning is leveling the playing field for far-flung disadvantaged students who previously would have had no chance to be part of this new workforce, as well as boosting the skills of students and workers closer to home. Cloud, virtualization, and software-defined networking—along with consumer electronic devices—are among the many advanced technologies enabling this development.

Excerpt:

The potent combination of globalization and digital transformation is upending the requirements for tomorrow’s workforce, underscoring the need for programs like the VMware-powered curriculum at the LEAP school. Such digital learning initiatives shift emphasis away from rote book- and lecture-style teaching to interactive experiences focused on collaboration, personalized content, and hands-on problem solving. The ability to leverage core IT infrastructure such as virtualized servers, networking, and storage, in concert with mobile technology, enables students in remote communities from Diepsloot to rural America to participate in digital learning experiences to which they previously had no access.
…
New learning prototypes are critical as the accelerated pace of change disrupts traditional business models and creates new 21^st century jobs that demand different skill sets. According to a World Economic report, 35 percent of core workplace skills will change between 2015 and 2020, with complex problem solving, critical thinking, creativity, and collaboration in high demand. At the same time, the report found that 65 percent of children entering primary school today will end up working in jobs that don’t currently exist, underscoring the need for new skills training using hands-on and exploratory learning techniques.

Learning Ecosystems

For colleges, community colleges, & universities: The new, exponential pace of change. [Christian]

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