strategy

From DSC: Some reflections from the “2017 Workplace Learning Report ” from LinkedIn Learning

On 10/02/2017, in 21st century, bots, business, career development, change, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital learning, education technology, elearning, future, game-changing environment, higher education, human-computer interaction (HCI), ideas, leadership, learning, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, Microsoft, online learning, online media, personalized/customized learning, platforms, reinvent, RSS, social learning / networks, society, staying relevant, strategy, streams of content, student-related, surviving, tools, training / L&D, trends, ubiquitous learning, universities, vendors, vision/possibilities, workplace, by Daniel Christian

From DSC:
Getting employees to make time for L&D needs to be based upon “what’s in it for them” — i.e., the main role of the L&D Team/Department should be to create the platforms and means by which employees can learn whatever they need to learn in order to do their jobs well (as well as to learn the skills necessary to move into those new areas that they’ve been wanting to move into). They’re going to find ways to do this anyway, why not give them the tools/knowledge of the tools and the platforms in order to better facilitate that learning to happen at a quicker pace?

An L&D Team could provide content curation services themselves and/or they could connect the employees with knowledgeable people. For example, give employees the key people to connect with who are doing their jobs really well.

For example, the L&D Team could maintain and provide a list of the top 10*:

Internal Sales employees to connect with and learn from, as well as the top 10 external Sales people to connect with and learn from (these people may or may not be in the same industry).
Internal Customer Service employees to connect with and learn from, as well as the top 10 external Customer Service people to connect with and learn from (these people may or may not be in the same industry).
Internal Marketing employees to connect with and learn from, as well as the top 10 external Marketing people to connect with and learn from (these people may or may not be in the same industry).
Etc.

* Or top 5, or top 50, or top whatever # that the L&D Team
thinks would be most beneficial to the organization

I think each employee in the workforce needs to know about the power of RSS feeds and feed aggregators such as Feedly. In fact, I advocate that same approach for most every student in middle school, high school, and college as well. We need to be able to connect with others and tap into streams of content being produced — as well as contribute to those streams of content as well. Blogs, Twitter, LinkedIn, CMSs/LMSs, etc. can provide beneficial streams of content.

“And learners are evolving at a quicker pace than the learning programs that support them.”

Also, based upon the above image, I find it interesting that the corporate L&D teams are struggling with what higher education has been struggling with as well — i.e., predicting which skills will be needed and responding as quickly as possible in order to develop the necessary learning modules/RSS feeds/content/etc. to remain up-to-date. Actually, I suspect that it’s not that the learners are evolving at a quicker pace than the learning programs that support them, rather its the required skills and needs of the positions that are evolving at a quicker pace than the learning programs that support them.

Our institutions and our L&D Departments are simply not used to this pace of change. No one is.

We need better mechanisms of dealing with this new pace of change.

One last random thought here…perhaps a portion of the L&D department will morph into creating bots for internal employees, helping answer questions at the point of need.

Does Your Learning Ecosystem Support Current and Future Needs? — from learningsolutionsmag.com by Andrew Hughes

Excerpts:

As L&D, we need to change the way we manage learning and training for our new and existing workforce. In fact, you should give up the idea of managing their learning at all! It is not your responsibility anymore. Instead, aim to create a culture of continuous learning and curiosity. Equip your employees with technology and tools that encourage them to collaborate, connect, and learn when they need to. You can no longer treat work and learning as different entities, because your employees need to learn all the time if you want to retain your competitive edge. They need to soak in all the information coming to them from all around and apply it to their work.

You will need to help build a technology-enabled learning ecosystem to support this trend of self-learning.

…

Your employees are no longer limited to learning at a specific time in a physical venue. Mobile devices and learning apps have ensured that learners can access learning content whenever and wherever they wish. They can choose their own learning path and mode of learning—videos, podcasts, text-based content, game-based modules, and so on. Learning should be a personal endeavor. If you allow your learners to choose what they wish to learn, then they can decide on the skills they need in order to excel in the real world. This gives more power to your content and makes learning meaningful to the learners.

Here are the top four trends that you should keep in mind while working on your corporate training strategy.

Trend #1: Serious games
Trend #2: Augmented and virtual reality
Trend #3: Mobile learning
Trend #4: Wearable technologies

These Are the Skills of the Future, According to 39 Industry Experts — from linkedin.com by Paul Petrone

Excerpts:

There’s a misconception out there that the future of work will be robots and artificial intelligence automating all the jobs, leaving nothing for majority of the world’s citizens to do.

History says that’s not the case. Over the past 120 years, there have been incredible technological advancements – cars, personal computers, the internet, smartphones, etc. – that have automated or eliminated aspects of nearly every job. But jobs haven’t gone away; instead, they’ve generally become more complex or changed scope, requiring new skills to complete them.

Hence, over the next five years, with AI and other technologies changing the market, jobs won’t go away. But the skills needed to do most jobs will change (and, in many cases, change drastically).

This sounds scary, but it really isn’t. Preparing for the future merely requires a commitment to learning – one of the most empowering activities a person can engage in. And, with all this change comes great opportunity. So, if you commit to learning and stay ahead of your industry, you’ll put yourself in position to reach your goals – regardless of where you stand now.

…

And while those answers were all specific to their individual fields, there were three skills we saw again and again that apply to all professionals moving forward. They are:

* A growth mindset
* Strategy
* Employee empowerment

…

Global Human Capital Report 2017 [World Economic Forum]

On 09/18/2017, in 21st century, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, 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.

Income Share Agreements (ISA’s) don’t incentivize institutions to reduce the costs of obtaining a college degree [Christian]

On 09/13/2017, in budgets, business side of he, career development, colleges, community colleges, cost of getting a degree, future, higher education, ideas, leadership, legislatures / government / legal, parents/guardians, society, strategy, student-related, surviving, United States, universities, by Daniel Christian

From DSC:
The article below caused me to reflect on the idea of using Income Share Agreements (ISAs) as a way for students to get through college these days. Although I appreciate that others are trying to help students get through college — an admirable goal for sure and one that I wholeheartedly share — I don’t like the means/method being proposed here. Why? Because I’m concerned that ISAs don’t offer any incentives for colleges and universities to lower their prices in the first place. The burden of debt is just spread out into the future. In fact, one could easily imagine the costs of obtaining a degree to continue to increase, because the immediate impact of the debt isn’t felt right now…it’s spread out over one’s future. The problem becomes invisible again, making it once again easy for those working within higher education to ignore.

So I hope this method doesn’t take off (as I understand it); instead, I hope that we can figure out better ways to reduce the price of obtaining a degree. Technology should be of use here.

Students Get Tuition Aid for a Piece of Their Future — from wsj.com by Jillian Berman
Income share agreements seem poised to take off, as costs and debt loads rise

Excerpt:

To help pay for ever-growing college costs, more students may soon be trying a new approach: selling rights to their future earnings.

Long discussed in college policy and financing circles, income share agreements, or ISAs, are poised to become more mainstream. A handful of backers currently exist that in effect have invested in college students’ futures by advancing them thousands of dollars in tuition money to bridge gaps in financing when student loans don’t quite meet all of their expenses.

Under the terms of a typical ISA, students agree to pay a percentage of their future earnings for a predetermined period in exchange for help up front with their tuition. Now, more students may have the opportunity to enter such deals, as lawmakers in Congress are working on possible ground rules for the agreements.

“Under the Hood: Learning Design Behind Georgia Tech’s Degrees at Scale” + “Learning How to Learn: Anatomy of a good MOOC”

On 09/12/2017, in adjunct faculty, business side of he, career development, colleges, community colleges, content development, aggregation, repositories, cost of getting a degree, Daniel S. Christian, digital audio, digital learning, digital video, education technology, elearning, faculty, higher education, ideas, innovation, instructional design, learning, learning ecosystem, Learning from the Living [Class] Room, MOOCs -- Massive Open Online Courses, multimedia, new business models, online learning, platforms, strategy, student-related, teaching & learning, teaching online, United States, universities, using teams, by Daniel Christian

Under the Hood: Learning Design Behind Georgia Tech’s Degrees at Scale — from evolllution.com by Shabana Figueroa and Yakut Gazi

Excerpt:

Rolling out the MM program in May and the degree program in August meant design coordination and creation of eight new online courses in less than a year. We needed a new approach that employed strategies for efficiency and effectiveness.

The Learning Design Team
GTPE’s learning design team partners with faculty members to develop their online courses from start to end, providing the heavy lifting for course production. A director of learning design oversees both the instructional design and production aspects of the course production across the entire program. This cross-functional team approach eliminates the silos created by independent instructional design and studio production teams, which in turn, minimizes hand-off points, decreases friction among teams, allows for long-term thinking that leads to smarter course design and development decisions, provides fluidity of talent and roles within the team, and fuels productivity.

…

…the paradigm shift to a learner-focused, team-based approach to course production and delivery, and collaboration of campus partners and groups…

From DSC:
Note the use of a team-based approach here. I think that the team-based approach will be the most beneficial to the world at large. Those teams will be able to deliver a high-quality learning experience, with high production values and carefully planned/crafted instructional designs.

Also see:

Learning How to Learn: Anatomy of a good MOOC — from linkedin.com by Bill Ferster

Excerpts:

Barbara Oakley’s MOOC, Learning How to Learn [2] is the exception to this trend. It is well-produced, informative, and fully embraces the new medium. With over 2 million registered students and completion rates of over 20% [3], (the average MOOC completion rate is 5%), Learning How to Learn is clearly resonating with its audience.

The question is why is it so popular? Intrigued, I enrolled the short MOOC to understand why it was so popular, and what lessons it might have for other MOOC authors to make their offerings more effective their “filmed plays.”

…

Oakley has clearly bucked the overall MOOC trend and has made good use of the inexpensive technologies with well-lit scenes that are clearly edited and make use of the green screen overlay technologies found in her Adobe Premiere video editor. She used a large teleprompter to ensure a fluid delivery of her message and high-quality audio.

…

Learning to Learn is effective because Oakley put a significant amount of effort making it effective. Good content, coupled with high production values, and sound pedagogy take time to produce and clearly pays off in the final product.

A survey of 3,000 executives reveals how businesses succeed with AI — from hbr.org by Jacques Bughin, Brian McCarthy, Michael Chui

Excerpt:

The buzz over artificial intelligence (AI) has grown loud enough to penetrate the C-suites of organizations around the world, and for good reason. Investment in AI is growing and is increasingly coming from organizations outside the tech space. And AI success stories are becoming more numerous and diverse, from Amazon reaping operational efficiencies using its AI-powered Kiva warehouse robots, to GE keeping its industrial equipment running by leveraging AI for predictive maintenance.

While it’s clear that CEOs need to consider AI’s business implications, the technology’s nascence in business settings makes it less clear how to profitably employ it. Through a study of AI that included a survey of 3,073 executives and 160 case studies across 14 sectors and 10 countries, and through a separate digital research program, we have identified 10 key insights CEOs need to know to embark on a successful AI journey.

Make no mistake: The next digital frontier is here, and it’s AI. While some firms are still reeling from previous digital disruptions, a new one is taking shape. But it’s early days. There’s still time to make AI a competitive advantage.

IBM and MIT to Pursue Joint Research in Artificial Intelligence, Establish New MIT-IBM Watson AI Lab — from by
IBM plans to make a 10-Year, $240 Million Investment in new lab with MIT to advance AI hardware and software and algorithms

Excerpt:

CAMBRIDGE, Mass., Sept. 7, 2017 /PRNewswire/ — IBM and MIT today announced that IBM plans to make a 10-year, $240 million investment to create the MIT–IBM Watson AI Lab in partnership with MIT. The lab will carry out fundamental artificial intelligence (AI) research and seek to propel scientific breakthroughs that unlock the potential of AI. The collaboration aims to advance AI hardware, software and algorithms related to deep learning and other areas, increase AI’s impact on industries, such as health care and cybersecurity, and explore the economic and ethical implications of AI on society. IBM’s $240 million investment in the lab will support research by IBM and MIT scientists.

The new lab will be one of the largest long-term university-industry AI collaborations to date, mobilizing the talent of more than 100 AI scientists, professors, and students to pursue joint research…

From DSC:
When you read the article below, notice how many times these CIO’s mention that they’re tapping into streams of content

How to stay current with emerging tech: CIO tips — from enterprisersproject.com by Carla Rudder
CIOs from Target, CVS Health, GE, and others share strategies for keeping up with the latest technologies

Excerpts:

I spend a fair amount of time looking at LinkedIn and Twitter. I’m particular about what I subscribe to. I see what people are interested in, so these social networks are good sources of information.
…
First, I set up Google alerts on topics that are of interest to me. I can skim these daily to keep abreast of what’s happening.
…
On the top-down side, I employ some different tactics. For example, I love using the Flipboard app to find relevant technology new stories targeted to my preferences. Also, I enjoy reading as much as I can about management and macro trends in technology and society.
…
First, pick some new media and follow it regularly. Examples that come to mind are Quartz, Vox, and Slate. Then, seek a balanced perspective from traditional media like The Wall Street Journal, The New York Times, The Atlantic, and The Economist.
…
When I can’t get out to conferences, I watch TED Talks. In fact, I watch a lot of talks that have nothing to do with IT, but they certainly help with leadership.

“Learning is leaving the (school) building” — and other items from Will Richardson & Bruce Dixon

On 09/01/2017, in 21st century, active learning, attention, change, collaboration, communications, communities of practice, dangers of the status quo, digital learning, education, education reform, education technology, engagement / engaging students, face-to-face, game-changing environment, generational differences, ideas, innovation, internet, K-12 related, leadership, learning, learning ecosystem, legislatures / government / legal, love of learning, more voice more choice more control, motivation, pace of change, parents/guardians, participation, passions, pedagogy, personalized/customized learning, real-world assignments, social learning / networks, society, staying relevant, story, storytelling, strategy, student-related, surviving, teachers, teaching & learning, technology (general), traditional / tradition, United States, user experience (UX), vision/possibilities, web-based collaboration, webinars, youth, by Daniel Christian

From DSC:
I appreciated hearing the perspectives from Bruce Dixon and Will Richardson this morning, as I listed to a webinar that they recently offered. A few key takeaways for me from that webinar — and with a document that they shared — were:

The world has fundamentally changed. (Bruce and Will also mentioned the new pace of change; i.e., that it’s much faster.)
We need to have more urgency about the need to reimagine school, not to try to improve the existing model.
“Because of the advent of the Web and the technologies we use to access it, learning is, in a phrase, leaving the (school) building.”
There is a newfound capacity to take full control of one’s own learning; self-determined learning should be at the center of students’ and teachers’ work; co-constructed curriculum
And today, at a moment when learners of all ages have never had more agency over their own learning, schools must unlearn centuries old mindsets and practices and relearn them in ways that truly will serve every child living in the modern, connected world.
Will and Bruce believe that every educator — and district for that matter — should articulate their own “principles of learning”
Beliefs about how kids learn (powerfully and deeply) need to be articulated and consistently communicated and lived out
Everything we do as educators, administrators, etc. tells a story. What stories are we telling? (For example, what does the signage around your school building say? Is it about compliance? Is is about a love of learning? Wonder? What does the 20′ jumbo tron say about priorities? Etc.)
Bruce and Will covered a “story audit” and how to do one

“Learning is, in a phrase, leaving the (school) building.”

Richardson & Dixon

Also see:

These educators have decades worth of experience. They are pulse-checking their environments. They want to see students thrive both now and into the future. For these reasons, at least for me, their perspectives are highly worth reflecting upon.

First wholly online state university in U.S. [Aldridge & Powell]

On 08/23/2017, in business side of he, changing business models, cost of getting a degree, higher education, innovation, leadership, lifelong learning, online learning, strategy, United States, universities, by Daniel Christian

First wholly online state university in U.S. — from virtuallyinspired.org by Susan Aldridge and Marci Powell
Colorado State University Global Campus takes non-traditional approach

Excerpt:

A university that is light and limber, with excellent quality…that is an apt description for the first 100% fully online, independently accredited, public university in the United States. Open universities around the world should take notice of Colorado State University Global Campus’s innovative approach. What they are doing is a game changer.

Created by the Colorado State University System Board of Governors in 2007, CSU-Global Campus is focused on facilitating adult success in a global marketplace through career-relevant education including bachelor’s degree completion and master’s degree programs.

All courses are 100% online and designed for working adults. With accelerated 8-week courses and monthly starts, CSU Global Campus attracts a wide audience. The same affordable tuition rate applies to all students regardless of where they live. For those outside of the state of Colorado, this is great relief. Their Tuition Guarantee program means that the rate remains the same from the day a student first enrolls through the day they graduate.

From DSC:
Funny how I was just reflecting on the gaps that the bootcamps seem to be addressing. My hats off to Colorado State University’s Global Campus for their visionary, innovative approach.

Not taking any risks is the biggest risk of all these days.

NOTE: They went from 200 students — and almost closing their doors — to a current enrollment of close to 20,000 students! Seems their risk was calculated — and paid off big time!

Thanks Marci and Susan for your work and for posting this item.

In an AI-powered world, what are potential jobs of the future? — from readwrite.com

Excerpt:

With virtual assistants answering our emails and robots replacing humans on manufacturing assembly lines, mass unemployment due to widespread automation seems imminent. But it is easy to forget amid our growing unease that these systems are not “all-knowing” and fully competent.

As many of us have observed in our interactions with artificial intelligence, these systems perform repetitive, narrowly defined tasks very well but are quickly stymied when asked to go off script — often to great comical effect. As technological advances eliminate historic roles, previously unimaginable jobs will arise in the new economic reality. We combine these two ideas to map out potential new jobs that may arise in the highly automated economy of 2030.

Despite many claims to the contrary, designing a fully autonomous system is incredibly complex and remains far out of reach. For now, training a human is still much cheaper than developing robot replacement.

From DSC:

Moving forward, perhaps one of the key values/deliverables that higher education will bring to the table will be helping people decide which of the jobs out there are “safe for now and/or into the next decade” and which jobs students should steer clear of (as such positions are already disappearing or will soon be disappearing — to be replaced by robotics, algorithms, AI, and such).*

Along these lines, Tom Vander Ark’s recent posting (below) is akin to what I’m talking about:

Staying Ahead of the Robots: What Grads Should Know and Be Able To Do

Check out this excerpt from Tom’s article:

A recent Pew report on the future of jobs concluded:

Machines are eating humans’ job talents. And it’s not just about jobs that are repetitive and low-skill. Automation, robotics, algorithms and artificial intelligence (AI) in recent times have shown they can do equal or sometimes even better work than humans who are dermatologists, insurance claims adjusters, lawyers, seismic testers in oil fields, sports journalists and financial reporters, crew members on guided-missile destroyers, hiring managers, psychological testers, retail salespeople, and border patrol agents. Moreover, there is growing anxiety that technology developments on the near horizon will crush the jobs of the millions who drive cars and trucks, analyze medical tests and data, perform middle management chores, dispense medicine, trade stocks and evaluate markets, fight on battlefields, perform government functions, and even replace those who program software – that is, the creators of algorithms.

Now if only we could get our accrediting methods/agencies up to speed (i.e., to become far more responsive), this could be a very valuable service to provide for prospective students in the future.

*Addendum added on 8/24/17 — a relevant quote from Cathy Engelbert, Deloitte’s CEO, on 8/22/17

We ultimately need to help today’s workers—drivers, factory workers, and beyond—discover where demand for skills will be in five to 10 years and help them gain the necessary expertise and experience to do them well. Historically, wholesale job retraining has been challenging to scale, but the inexorable nature of this transition demands that we try to help them be productive in an even more digitized world economy. We already have a skills gap; we need to figure out how to digitize and skill those workers to match them with the demand for available jobs. There is a collective dialogue that should be engaged now so we can create meaningful, fulfilling, and productive opportunities for all.

The Benefits of an Innovative Culture at Smaller Colleges — from evolllution.com with Shane Garrison | Vice President of Enrollment, Campbellsville University
Smaller institutions are under more pressure than ever to innovate or collapse—weathering the storm is simply no longer an option for most institutions. This requires leaders and staff across the institution to have a creative mindset, and be willing to experiment and evolve.

Excerpt:

There is the reality that if you don’t diversify, if you fail to be creative, if you fail to try new things, you’re on the verge of folding. In Kentucky, two faith-based colleges folded within a span of about three years, and I think that created an urgency to avoid that fate. We have to be willing to try, create and experiment to survive, and that means doing things that we’ve never done before.

…

Evo: How can an innovative and experiment-focused culture help smaller institutions overcome some of those obstacles?

SG: I think you have to be willing to experiment for short periods of time with strategies that do not fit inside the traditional bubble. For example, for us, our online presence has been fairly strong for about 12 years. However, we had to experiment with placing a good number of full four-year bachelor’s degree programs online, something our university had never done. We had associate programs, we had graduate programs but we had to add bachelor programs online. We did it for three or four years in the experimental phase and noticed these were actually strong and it was building a beautiful pathway between our associate two-year programs and the four-year programs and continuing into graduate programs.

We are experimenting now with an international recruiting partnership and giving it two to three years to see what happens. It has been very successful thus far. This model has created a culture where we can experiment.

Reflections on “Digital Ivy: Harvard Business School’s Next Online Program” [Corcoran]

On 08/08/2017, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, colleges, community colleges, Daniel S. Christian, higher education, innovation, leadership, MBA, online learning, platforms, strategy, United States, universities, vendors, vision/possibilities, by Daniel Christian

Digital Ivy: Harvard Business School’s Next Online Program — from edsurge.com by Betsy Corcoran

Excerpts:

A triad of Harvard institutions—its business School, the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), and the department of statistics—are teaming up with Maryland-based digital education company, 2U, to offer an online executive education certificate in business analytics.
…
Orchestrating a cross-disciplinary program is no small feat, particularly at Harvard. “This was really hard [for Harvard] to pull off,” Paucek says. “It’s an intense, cross-disciplinary new offering from a school founded in 1636. The field is new, the offering of a complex blended certificate is new, and it’s being done with HBS, SEAS and the faculty, all blessed by the central administration. And it’s powered by an outside company that’s only 10 years old.”

The bottom line: HBS, Harvard SEAS and FAS faculty all want to put their imprint on the topic that is mesmerizing nearly every type of organization.

Also see:

Andrew Ng spreads the gospel of AI with a new online school — from wired.com by Tom Simonite

Excerpt:

Andrew Ng a soft-spoken AI researcher whose online postings talk loudly.

A March blog post in which the Stanford professor announced he was leaving Chinese search engine Baidu temporarily wiped more than a billion dollars off the company’s value. A June tweet about a new Ng website, Deeplearning.ai, triggered a wave of industry and media speculation about his next project.

Today that speculation is over. Deeplearning.ai is home to a series of online courses Ng says will help spread the benefits of recent advances in machine learning far beyond big tech companies such as Google and Baidu. The courses offers coders without an AI background training in how to use deep learning, the technique behind the current frenzy of investment in AI.

From DSC:
For those of you who shun online learning and think such programs will dilute your face-to-face based brands — whether individual colleges, universities, faculty members, provosts, deans, IT-based personnel, administrators, members of the board of trustees, and/or other leaders and strategists within higher education — you might want to intentionally consider what kind of future you have without a strong, solid online presence. Because if one of the top — arguably thee top — universities in the United States is moving forward forcefully with online learning, what’s your story/excuse?

And if one of the top thinkers in artificial intelligence backs online learning, again…what’s your story/excuse?

If Amazon.com dominates and Sears (and related retail stores who were powerhouses just years ago) are now closing…you are likely heading for major trouble as the world continues down the digital/virtual tracks — and you aren’t sending any (or very few) cars down those tracks. You won’t have any credibility in the future — at least not in the digital/virtual/online-based realms. Oh, and by the way, you might want to set some more funding aside for the mental and physical health of your admissions/enrollment teams in such situations…as their jobs are going to be increasingly stressful and difficult in order to meet their target numbers.

Also see:

Could Georgia Tech Use Online to Shave Time Off Bachelor’s Degrees? — from insidehighered.com by Mark Lieberman
University uses model from closely observed master’s in computer science on undergraduates for first time, finds notable success and sees path to shaving a year or more off in-person instruction.

A leading Silicon Valley engineer explains why every tech worker needs a humanities education [Chou]

On 08/04/2017, in career development, computer science, ethics, leadership, liberal arts, morals/values, productivity / tips and tricks, programming, society, strategy, vision/possibilities, workplace, by Daniel Christian

A leading Silicon Valley engineer explains why every tech worker needs a humanities education — from qz.com by Tracy Chou

Excerpts:

I was no longer operating in a world circumscribed by lesson plans, problem sets and programming assignments, and intended course outcomes. I also wasn’t coding to specs, because there were no specs. As my teammates and I were building the product, we were also simultaneously defining what it should be, whom it would serve, what behaviors we wanted to incentivize amongst our users, what kind of community it would become, and what kind of value we hoped to create in the world.

I still loved immersing myself in code and falling into a state of flow—those hours-long intensive coding sessions where I could put everything else aside and focus solely on the engineering tasks at hand. But I also came to realize that such disengagement from reality and societal context could only be temporary.
…
At Quora, and later at Pinterest, I also worked on the algorithms powering their respective homefeeds: the streams of content presented to users upon initial login, the default views we pushed to users. It seems simple enough to want to show users “good” content when they open up an app. But what makes for good content? Is the goal to help users to discover new ideas and expand their intellectual and creative horizons? To show them exactly the sort of content that they know they already like? Or, most easily measurable, to show them the content they’re most likely to click on and share, and that will make them spend the most time on the service?

Ruefully—and with some embarrassment at my younger self’s condescending attitude toward the humanities—I now wish that I had strived for a proper liberal arts education. That I’d learned how to think critically about the world we live in and how to engage with it. That I’d absorbed lessons about how to identify and interrogate privilege, power structures, structural inequality, and injustice. That I’d had opportunities to debate my peers and develop informed opinions on philosophy and morality. And even more than all of that, I wish I’d even realized that these were worthwhile thoughts to fill my mind with—that all of my engineering work would be contextualized by such subjects.

It worries me that so many of the builders of technology today are people like me; people haven’t spent anywhere near enough time thinking about these larger questions of what it is that we are building, and what the implications are for the world.

Also see:

Why We Need the Liberal Arts in Technology’s Age of Distraction — from time.com by Tim Bajarin

Excerpt:

In a recent Harvard Business Review piece titled “Liberal Arts in the Data Age,” author JM Olejarz writes about the importance of reconnecting a lateral, liberal arts mindset with the sort of rote engineering approach that can lead to myopic creativity. Today’s engineers have been so focused on creating new technologies that their short term goals risk obscuring unintended longterm outcomes. While a few companies, say Intel, are forward-thinking enough to include ethics professionals on staff, they remain exceptions. At this point all tech companies serious about ethical grounding need to be hiring folks with backgrounds in areas like anthropology, psychology and philosophy.

Report: AI will be in nearly all new software by 2020 [Bolkan]

On 08/02/2017, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, career development, change, computer science, emerging technologies, future, game-changing environment, pace of change, platforms, programming, strategy, user experience (UX), vendors, by Daniel Christian

Report: AI will be in nearly all new software by 2020 — from thejournal.com by Joshua Bolkan

Excerpt:

Artificial intelligence will be in nearly all new software products by 2020 and a top five investment priority for more than 30 percent of chief information officers, according to a new report from Gartner.
…
The company lists three keys to successfully exploiting AI technologies over the next few years:

Many vendors are “AI washing” their products, or applying the term artificial intelligence to tools that don’t really merit it. Vendors should use the term wisely and be clear about what differentiates their AI products and what problems they solve;
Forego more complicated or cutting-edge AI techniques in favor of simpler, proven approaches; and
Organizations do not have the skills to evaluate, build or deploy AI and are looking for embedded or packaged AI rather than custom building their own.

Learning Ecosystems

Does Your Learning Ecosystem Support Current and Future Needs? [Hughes]

“A survey of 3,000 execs reveals how businesses succeed with AI” + “IBM & MIT to pursue joint research in AI”

First wholly online state university in U.S. [Aldridge & Powell]

Reflections on “Digital Ivy: Harvard Business School’s Next Online Program” [Corcoran]

A leading Silicon Valley engineer explains why every tech worker needs a humanities education [Chou]

Report: AI will be in nearly all new software by 2020 [Bolkan]

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