sociology

Forecast 5.0 – The Future of Learning: Navigating the Future of Learning [Prince, Swanson, & King]

On 12/08/2018, in 21st century, adjunct faculty, analytics, Artificial Intelligence/Agents/LLMs/and Related, bots, change, colleges, community colleges, data related items, digital learning, education, education technology, emerging technologies, formal learning, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, instructional design, intelligent systems, intelligent tutoring, internet, leadership, learning, learning ecosystem, Learning from the Living [Class] Room, learning spaces, mobile learning, multimedia, Natural Language Processing (NLP), online learning, online tutoring, pace of change, parents/guardians, personalized/customized learning, platforms, science, smart classrooms, social learning / networks, social media, society, sociology, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online, technology (general), tools, trends, United States, universities, virtual tutoring, vision/possibilities, web-based collaboration, by Daniel Christian

Forecast 5.0 – The Future of Learning: Navigating the Future of Learning — from knowledgeworks.org by Katherine Prince, Jason Swanson, and Katie King
Discover how current trends could impact learning ten years from now and consider ways to shape a future where all students can thrive.

AI Now Report 2018: 10 Recommendations for AI [AI Now Institute]

On 12/07/2018, in 21st century, Amazon, Apple, Artificial Intelligence/Agents/LLMs/and Related, bots, business, career development, change, colleges, community colleges, computer science, corporate / business world, emerging technologies, ethics, Facebook / Meta Platforms, future, game-changing environment, Google, higher education, human-computer interaction (HCI), IBM, ideas, innovation, intelligent systems, internet, law schools, legislatures / government / legal, machine-to-machine communications, Microsoft, morals/values, pace of change, platforms, programming, society, sociology, surviving, technologies for your home, technology (general), the downsides of how people use tech, tools, trends, United States, universities, vendors, vision/possibilities, workplace, by Daniel Christian

AI Now Report 2018 | December 2018 — from ainowinstitute.org

Meredith Whittaker , AI Now Institute, New York University, Google Open Research
Kate Crawford , AI Now Institute, New York University, Microsoft Research
Roel Dobbe , AI Now Institute, New York University
Genevieve Fried , AI Now Institute, New York University
Elizabeth Kaziunas , AI Now Institute, New York University
Varoon Mathur , AI Now Institute, New York University
Sarah Myers West , AI Now Institute, New York University
Rashida Richardson , AI Now Institute, New York University
Jason Schultz , AI Now Institute, New York University School of Law
Oscar Schwartz , AI Now Institute, New York University

With research assistance from Alex Campolo and Gretchen Krueger (AI Now Institute, New York University)

Excerpt (emphasis DSC):

Building on our 2016 and 2017 reports, the AI Now 2018 Report contends with this central problem, and provides 10 practical recommendations that can help create accountability frameworks capable of governing these powerful technologies.

Governments need to regulate AI by expanding the powers of sector-specific agencies to oversee, audit, and monitor these technologies by domain.
Facial recognition and affect recognition need stringent regulation to protect the public interest.
The AI industry urgently needs new approaches to governance. As this report demonstrates, internal governance structures at most technology companies are failing to ensure accountability for AI systems.
AI companies should waive trade secrecy and other legal claims that stand in the way of accountability in the public sector.
Technology companies should provide protections for conscientious objectors, employee organizing, and ethical whistleblowers.
Consumer protection agencies should apply “truth-in-advertising” laws to AI products and services.
Technology companies must go beyond the “pipeline model” and commit to addressing the practices of exclusion and discrimination in their workplaces.
Fairness, accountability, and transparency in AI require a detailed account of the “full stack supply chain.”
More funding and support are needed for litigation, labor organizing, and community participation on AI accountability issues.
University AI programs should expand beyond computer science and engineering disciplines. AI began as an interdisciplinary field, but over the decades has narrowed to become a technical discipline. With the increasing application of AI systems to social domains, it needs to expand its disciplinary orientation. That means centering forms of expertise from the social and humanistic disciplines. AI efforts that genuinely wish to address social implications cannot stay solely within computer science and engineering departments, where faculty and students are not trained to research the social world. Expanding the disciplinary orientation of AI research will ensure deeper attention to social contexts, and more focus on potential hazards when these systems are applied to human populations.

Also see:

After a Year of Tech Scandals, Our 10 Recommendations for AI — from medium.com by the AI Now Institute
Let’s begin with better regulation, protecting workers, and applying “truth in advertising” rules to AI

Also see:

Excerpt:

As we discussed, this technology brings important and even exciting societal benefits but also the potential for abuse. We noted the need for broader study and discussion of these issues. In the ensuing months, we’ve been pursuing these issues further, talking with technologists, companies, civil society groups, academics and public officials around the world. We’ve learned more and tested new ideas. Based on this work, we believe it’s important to move beyond study and discussion. The time for action has arrived.

We believe it’s important for governments in 2019 to start adopting laws to regulate this technology. The facial recognition genie, so to speak, is just emerging from the bottle. Unless we act, we risk waking up five years from now to find that facial recognition services have spread in ways that exacerbate societal issues. By that time, these challenges will be much more difficult to bottle back up.

In particular, we don’t believe that the world will be best served by a commercial race to the bottom, with tech companies forced to choose between social responsibility and market success. We believe that the only way to protect against this race to the bottom is to build a floor of responsibility that supports healthy market competition. And a solid floor requires that we ensure that this technology, and the organizations that develop and use it, are governed by the rule of law.

From DSC:
This is a major heads up to the American Bar Association (ABA), law schools, governments, legislatures around the country, the courts, the corporate world, as well as for colleges, universities, and community colleges. The pace of emerging technologies is much faster than society’s ability to deal with them!

The ABA and law schools need to majorly pick up their pace — for the benefit of all within our society.

What teaching that lifts all students could look like [Rizga]

On 06/20/2018, in accessibility / UDL, collaboration, communities of practice, education, education reform, engagement / engaging students, K-12 related, learning, motivation, neurodivergent/special needs, participation, society, sociology, student teaching/teacher education, student-related, teachers, teaching & learning, by Daniel Christian

What teaching that lifts all students could look like — from kqed.org by Kristina Rizga

An initial comment from DSC:
I recently ran across this article. Although it’s from 12/24/15, it has some really solid points and strategies in it. Definitely worth a read if you are a teacher or even a parent with school age kids.

Excerpts (emphasis DSC):

…his comments in class about the substance of her ideas, his feedback on her writing, the enthusiasm in his voice when he discussed her thinking. Over the course of a year, that proof solidified into a confidence that couldn’t be easily shaken anymore. It was that pride in her intellect that gave her the fortitude and resilience to cut through many racial stereotypes and negative myths as she made her way through high school and then Boston University.
…
For McKamey, the most important value driving her teaching and coaching is her conviction that being a good teacher means hearing, seeing, and succeeding with all students—regardless of how far a student is from the teacher’s preconceived notions of what it means to be ready to learn. When teachers are driven by a belief that all of their students can learn, they are able to respond to the complexity of their students’ needs and to adjust if something is not working for a particular individual or group of students.

The best way to improve teaching and reduce the achievement gaps, McKamey argues, is to allow teachers to act as school-based researchers and leaders, justifying classroom reforms based on the broad range of performance markers of their students: daily grades, the quality of student work and the rate of its production, engagement, effort, attendance, and student comments. That means planning units together and then spending a lot of time analyzing the iterative work the students produce. This process teaches educators to recognize that there are no standard individuals, and there are as many learning trajectories as there are people.

Mary Meeker’s Annual “Internet Trends Report” — the 2018 Edition is now out!

On 06/04/2018, in 21st century, A/V -- audio/visual, Amazon, analytics, Apple, Artificial Intelligence/Agents/LLMs/and Related, Asia, bots, business, career development, change, changing business models, cloud-based computing / apps / other cloud-related, communications, computer science, corporate / business world, data related items, digital video, economics, emerging technologies, Europe, Facebook / Meta Platforms, global / globalization, Google, ideas, innovation, internet, learning, lifelong learning, Microsoft, mobile technologies, MOOCs -- Massive Open Online Courses, more voice more choice more control, online learning, online media, pace of change, personalized/customized learning, platforms, presentations, programming, reinvent, research, society, sociology, staying relevant, student-related, surviving, technologies for your home, technology (general), the downsides of how people use tech, tools, trends, United States, user experience (UX), vendors, voice recognition / voice enabled interfaces, workplace, by Daniel Christian

Below are some excerpted slides from her presentation…

Also see:

20 important takeaways for learning world from Mary Meeker’s brilliant tech trends – from donaldclarkplanb.blogspot.com by Donald Clark
Excerpt:
Mary Meeker’s slide deck has a reputation of being the Delphic Oracle of tech. But, at 294 slides it’s a lot to take in. Don’t worry, I’ve been through them all. It has tons on economic stuff that is of marginal interest to education and training but there’s plenty to to get our teeth into. We’re not immune to tech trends, indeed we tend to follow in lock-step, just a bit later than everyone else. Among the data are lots of fascinating insights that point the way forward in terms of what we’re likely to be doing over the next decade. So here’s a really quick, top-end summary for folk in the learning game.

“Educational content usage online is ramping fast” with over 1 billion daily educational videos watched. There is evidence that use of the Internet for informal and formal learning is taking off.

Here’s Mary Meeker’s essential 2018 Internet Trends report — from techcrunch.com by Josh Constine

10 Big Takeaways From Mary Meeker’s Widely-Read Internet Report — from fortune.com by Leena Rao

From DSC:
As important as being able to effectively communicate with others is, I think we could do a better job throughout the entire learning continuum of proving more coaching in this regard. We should provide far more courses, and/or e-learning based modules, and/or examples where someone is being coached on how best to communicate in a variety of situations.

Some examples/scenarios along the continuum (i.e, pre-K-12, higher ed and/or vocational work, and the workplace) might include:

For children communicating with each other
- How to ask if someone wants to play (and how best to find an activity everyone wants to do; or how to handle getting a no each time)
- How to handle a situation where one’s friend is really angry about something or is being extra quiet about something
- How to listen
For children communicating with adults (and vice versa)
- How to show respect
- How to listen
- Not being shy but feeling free to say what’s on their mind with a known/respected adult
For highschoolers
- Wondering how best to interview for that new job
- For communicating with parents
- How to handle issues surrounding diversity and showing respect for differences
- How to listen
For college students
- Wondering how best to interview for that new job
- Encouraging them to use their professors’ office hours — and to practice communication-related skills therein as well
- For communicating with parents, and vice versa
- How to listen
For those entering the workplace
- How to communicate with co-workers
- For dealing with customers who are irate about something that happened (or didn’t happen) to them
- How to listen
For managers and their communications with their employees
- How to encourage
- How to handle disciplinary issues or change behaviors
- How to listen
For leaders and their communications with their departments, staffs, companies, organizations
- How to inspire, guide, lead
- How to listen

I intentionally inserted the word listen many times in the above scenarios, as I don’t think we do enough about — or even think about — actively developing that skill.

The manner in which we deliver and engage learners here could vary:

One possible way would be to use interactive videos that pause at critical points within conversations and ask the listeners how they would respond at these points in the scenarios. They might have 2-3 choices per decision point. When the video continues, based upon which selection they went with, the learner could see how things panned out when they pursued that route.
Or perhaps we could host some seminars or workshops with students on how to use web-based collaboration tools (videoconferencing and/or audio only based meetings) and/or social media related tools.
Or perhaps such training could occur in more face-to-face environments with 2 or more learners reading a scene-setting script, then pausing at critical points in the conversation for students to discuss the best possible responses
….and I’m sure there are other methods that could be employed as well.

But for all the talk of the importance of communications, are we doing enough to provide effective examples/coaching here?

Some thoughts on this topic from scripture

James 1:19-20 (NIV)
Listening and Doing
19 My dear brothers and sisters, take note of this: Everyone should be quick to listen, slow to speak and slow to become angry, 20 because human anger does not produce the righteousness that God desires.

Proverbs 21:23 (NIV)
23 Those who guard their mouths and their tongues keep themselves from calamity.

Proverbs 18:20-21 (NIV)
20 From the fruit of their mouth a person’s stomach is filled; with the harvest of their lips they are satisfied. 21 The tongue has the power of life and death, and those who love it will eat its fruit.

Proverbs 12:18-19 (NIV)
18 The words of the reckless pierce like swords, but the tongue of the wise brings healing. 19 Truthful lips endure forever, but a lying tongue lasts only a moment.

With great tech success, comes even greater responsibility — from techcrunch.com by Ron Miller

Excerpts:

As we watch major tech platforms evolve over time, it’s clear that companies like Facebook, Apple, Google and Amazon (among others) have created businesses that are having a huge impact on humanity — sometimes positive and other times not so much.

That suggests that these platforms have to understand how people are using them and when they are trying to manipulate them or use them for nefarious purposes — or the companies themselves are. We can apply that same responsibility filter to individual technologies like artificial intelligence and indeed any advanced technologies and the impact they could possibly have on society over time.
…
We can be sure that Twitter’s creators never imagined a world where bots would be launched to influence an election when they created the company more than a decade ago. Over time though, it becomes crystal clear that Twitter, and indeed all large platforms, can be used for a variety of motivations, and the platforms have to react when they think there are certain parties who are using their networks to manipulate parts of the populace.

But it’s up to the companies who are developing the tech to recognize the responsibility that comes with great economic success or simply the impact of whatever they are creating could have on society.

Why the Public Overlooks and Undervalues Tech’s Power — from morningconsult.com by Joanna Piacenza
Some experts say the tech industry is rapidly nearing a day of reckoning

Excerpts:

5% picked tech when asked which industry had the most power and influence, well behind the U.S. government, Wall Street and Hollywood.
Respondents were much more likely to say sexual harassment was a major issue in Hollywood (49%) and government (35%) than in Silicon Valley (17%).

It is difficult for Americans to escape the technology industry’s influence in everyday life. Facebook Inc. reports that more than 184 million people in the United States log on to the social network daily, or roughly 56 percent of the population. According to the Pew Research Center, nearly three-quarters (73 percent) of all Americans and 94 percent of Americans ages 18-24 use YouTube. Amazon.com Inc.’s market value is now nearly three times that of Walmart Inc.

But when asked which geographic center holds the most power and influence in America, respondents in a recent Morning Consult survey ranked the tech industry in Silicon Valley far behind politics and government in Washington, finance on Wall Street and the entertainment industry in Hollywood.

“Fake videos are on the rise. As they become more realistic, seeing shouldn’t always be believing” [David Pierson Fe]

On 02/19/2018, in 21st century, 3D, Artificial Intelligence/Agents/LLMs/and Related, bots, digital audio, digital storytelling, digital video, emerging technologies, ethics, morals/values, political science, relationships, simulations, social media, society, sociology, the downsides of how people use tech, tools, by Daniel Christian

Fake videos are on the rise. As they become more realistic, seeing shouldn’t always be believing — from latimes.com by David Pierson Fe

Excerpts:

It’s not hard to imagine a world in which social media is awash with doctored videos targeting ordinary people to exact revenge, extort or to simply troll.

In that scenario, where Twitter and Facebook are algorithmically flooded with hoaxes, no one could fully believe what they see. Truth, already diminished by Russia’s misinformation campaign and President Trump’s proclivity to label uncomplimentary journalism “fake news,” would be more subjective than ever.

The danger there is not just believing hoaxes, but also dismissing what’s real.

…

The consequences could be devastating for the notion of evidentiary video, long considered the paradigm of proof given the sophistication required to manipulate it.

“This goes far beyond ‘fake news’ because you are dealing with a medium, video, that we traditionally put a tremendous amount of weight on and trust in,” said David Ryan Polgar, a writer and self-described tech ethicist.

From DSC:
Though I’m typically pro-technology, this is truly disturbing. There are certainly downsides to technology as well as upsides — but it’s how we use a technology that can make the real difference. Again, this is truly disturbing.

Global Human Capital Report 2017 [World Economic Forum]

On 09/18/2017, in 21st century, adult learning, Artificial Intelligence/Agents/LLMs/and Related, 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.

Stroll along the canals of Venice, stand at the summit of Mount Kilimanjaro, or soar through the sky faster than a speeding bullet; explore Street View imagery from 85 countries! Amazing!!!

On 09/16/2017, in 21st century, A/V -- audio/visual, Asia, Augmented Reality (AR), Australia, Canada, digital learning, education technology, emerging technologies, engagement / engaging students, Europe, geography / geology, Google, higher education, human-computer interaction (HCI), ideas, immersion, India, innovation, K-12 related, learning, learning ecosystem, lifelong learning, microlearning, more voice more choice more control, online media, participation, platforms, play, society, sociology, teaching & learning, UK, United States, usability, user experience (UX), vendors, virtual field trips, Virtual Reality (VR) / worlds / learning, by Daniel Christian

Google AR and VR: Get a closer look with Street View in Google Earth VR

Excerpt:

With Google Earth VR, you can go anywhere in virtual reality. Whether you want to stroll along the canals of Venice, stand at the summit of Mount Kilimanjaro or soar through the sky faster than a speeding bullet, there’s no shortage of things to do or ways to explore. We love this sense of possibility, so we’re bringing Street View to Earth VR to make it easier for you to see and experience the world.

This update lets you explore Street View imagery from 85 countries right within Earth VR. Just fly down closer to street level, check your controller to see if Street View is available and enter an immersive 360° photo. You’ll find photos from the Street View team and those shared by people all around the world.

Getting students ready for the gig economy [Liebtag]

On 07/22/2017, in active learning, career development, economics, education, education reform, engagement / engaging students, K-12 related, marketing/social marketing, passions, project-based learning, society, sociology, student-related, teachers, teaching & learning, by Daniel Christian

Getting students ready for the gig economy — from gettingsmart.com by Emily Liebtag

Excerpt:

1) Finding a Passion and Making an Impact
Exploring passions, interests and causes that matter should be a part of every student’s education. Projects or several short-term gigs are a great way to help students reveal (or discover) their personal passions and to facilitate their interest explorations (all while still covering core content and standards). There are many students who already have opportunities to explore their passions during the regular school day through projects and are thriving as a result.

We’ve seen students at High Tech High create business plans and sell self-designed t-shirts, students at Thrive Public Schools engage in projects around kindness and empathy in their communities, and students at One Stone work with clients on advertising and marketing gigs, exploring their passions one project at a time.

Need ideas? Engage students in projects around the Sustainable Development Goals, snag an idea from the the PBL Q & A blog or simply ask students what they are curious about exploring in their community.

Robots and AI are going to make social inequality even worse, says new report [Vincent]

On 07/18/2017, in 21st century, adult learning, Artificial Intelligence/Agents/LLMs/and Related, business, career development, change, changing business models, colleges, community colleges, corporate / business world, corporate universities / corporate training, cost of getting a degree, dangers of the status quo, Daniel S. Christian, disruption, economics, education, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, learning, Learning from the Living [Class] Room, legislatures / government / legal, lifelong learning, marketplaces, New "Amazon.com" of Higher Education, organizational change, pace of change, platforms, professional development, reinvent, robotics, society, sociology, staying relevant, strategy, student-related, surviving, the downsides of how people use tech, traditional / tradition, training / L&D, trends, UK, United States, universities, vendors, vision/possibilities, workplace, youth, by Daniel Christian

Robots and AI are going to make social inequality even worse, says new report — from theverge.com by James Vincent
Rich people are going to find it easier to adapt to automation

Excerpt:

Most economists agree that advances in robotics and AI over the next few decades are likely to lead to significant job losses. But what’s less often considered is how these changes could also impact social mobility. A new report from UK charity Sutton Trust explains the danger, noting that unless governments take action, the next wave of automation will dramatically increase inequality within societies, further entrenching the divide between rich and poor.

The are a number of reasons for this, say the report’s authors, including the ability of richer individuals to re-train for new jobs; the rising importance of “soft skills” like communication and confidence; and the reduction in the number of jobs used as “stepping stones” into professional industries.

For example, the demand for paralegals and similar professions is likely to be reduced over the coming years as artificial intelligence is trained to handle more administrative tasks. In the UK more than 350,000 paralegals, payroll managers, and bookkeepers could lose their jobs if automated systems can do the same work.

Re-training for new jobs will also become a crucial skill, and it’s individuals from wealthier backgrounds that are more able to do so, says the report. This can already be seen in the disparity in terms of post-graduate education, with individuals in the UK with working class or poorer backgrounds far less likely to re-train after university.

From DSC:
I can’t emphasize this enough. There are dangerous, tumultuous times ahead if we can’t figure out ways to help ALL people within the workforce reinvent themselves quickly, cost-effectively, and conveniently. Re-skilling/up-skilling ourselves is becoming increasingly important. And I’m not just talking about highly-educated people. I’m talking about people whose jobs are going to be disappearing in the near future — especially people whose stepping stones into brighter futures are going to wake up to a very different world. A very harsh world.

That’s why I’m so passionate about helping to develop a next generation learning platform. Higher education, as an industry, has some time left to figure out their part/contribution out in this new world. But the window of time could be closing, as another window of opportunity / era could be opening up for “the next Amazon.com of higher education.”

It’s up to current, traditional institutions of higher education as to how much they want to be a part of the solution. Some of the questions each institution ought to be asking are:

Given our institutions mission/vision, what landscapes should we be pulse-checking?
Do we have faculty/staff/members of administration looking at those landscapes that are highly applicable to our students and to their futures? How, specifically, are the insights from those employees fed into the strategic plans of our institution?
What are some possible scenarios as a result of these changing landscapes? What would our response(s) be for each scenario?
Are there obstacles from us innovating and being able to respond to the shifting landscapes, especially within the workforce?
How do we remove those obstacles?
On a scale of 0 (we don’t innovate at all) to 10 (highly innovative), where is our culture today? Where do we hope to be 5 years from now? How do we get there?

…and there are many other questions no doubt. But I don’t think we’re looking into the future nearly enough to see the massive needs — and real issues — ahead of us.

The report, which was carried out by the Boston Consulting Group and published this Wednesday [7/12/17], looks specifically at the UK, where it says some 15 million jobs are at risk of automation. But the Sutton Trust says its findings are also relevant to other developed nations, particularly the US, where social mobility is a major problem.

From DSC:
Given the increasing use of robotics, automation, and artificial intelligence…how should the question of “What sort of education will you need to be employable in the future?” impact what’s being taught within K-12 & within higher education? Should certain areas within higher education, for example, start owning this research, as well as the strategic planning and whether changes are needed to the core curricula for this increasingly important trend?

The future’s coming at us fast — perhaps faster than we think. It seems prudent to work through some potential scenarios and develop plans for those various scenarios now, rather than react to this trend at some point in the future. If we wait, we’ll be trying to “swim up the backside of the wave” as my wise and wonderful father-in-law would say.

The above reflections occurred after I reviewed the posting out at cmrubinworld.com (with thanks to @STEMbyThomas for this resource):

The Global Search for Education: What Does My Robot Think?
Excerpt:
The Global Search for Education is pleased to welcome Ling Lee, Co-Curator of Robots and the Contemporary Science Manager for Exhibitions at the Science Museum in London, to discuss the impact of robots on our past and future.

Most Millennials Are Finding It Hard to Transition Into Adulthood: Report [Safia Samee Ali]

On 05/06/2017, in 21st century, colleges, cost of getting a degree, dangers of the status quo, game-changing environment, generational differences, higher education, parents/guardians, society, sociology, student-related, surviving, United States, universities, workplace, youth, by Daniel Christian

Most Millennials Are Finding It Hard to Transition Into Adulthood: Report — from nbcnews.com by Safia Samee Ali

Excerpt:

“It became too difficult financially to be in school and not working,” says Kaylor, who dropped out of Lincoln Christian University, in Illinois, after one semester because of a money crunch. “And without schooling, you can’t get a job that you can survive on, so I had to move back home,” he said.

From DSC:
Let’s pause right there. If higher ed is the gatekeeper into better salaries/wage rates — i.e., the ability to make a living — then it must be affordable. Higher education has a big piece of this current situation. This is why a backlash against traditional institutions of higher education continues to build. When a lower cost “Amazon.com of Higher Education” comes along, many will take that route. Just sayin’.

“In 1975, only 25 percent of men aged 25 to 34 had incomes of less than $30,000 per year. By 2016, that share rose to 41 percent of young men,” according to the report.
…
In 2015, one-third or about 24 million young adults, ranging from 18 to 34, lived with their parents, according to the report.

“These individuals are the first to go through new demands in a drastically different job force than from one generation prior,” he said. So it’s no surprise the transition has been bumpy for many.

Data mining & the use of AI for hiring will only pick up steam from here on out. Plus other items re: AI.

On 04/28/2017, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, career development, change, Daniel S. Christian, data related items, emerging technologies, Google, Microsoft, robotics, society, sociology, student-related, surviving, trends, vendors, workplace, youth, by Daniel Christian

4 Ways Technology Is Changing Recruiting — from blog.hrtechweekly.com by Ji-A Min

Excerpt:

AI for recruiting
Industry statistics estimate 75 percent of resumes received for a role are screened out. This adds up to the hundreds of hours a recruiter wastes reading unqualified resumes per year. As one of recruiting’s biggest bottlenecks, resume screening is in dire need of better tools to help recruiters manage their time more effectively. This is why AI for recruiting is the biggest topic in HR tech right now. AI and recruiting are a natural fit because AI requires a lot of data to learn and large companies often have millions of resumes in their ATS.

Recruiting software that uses artificial intelligence can automate the screening process by learning the experience, skills, and qualifications required for the job and then shortlisting, ranking, and grading new candidates who match the requirements (e.g., from A to D). This type of AI recruiting software can also be used to source candidates from external databases such as Indeed and CareerBuilder or find previous candidates in your existing ATS database by applying the same learning ability to match candidates to an open req. By automating the manual processes of resume screening and candidate matching, companies who use AI recruiting software have reduced their screening costs by 75%.

Comment from DSC:
This is exactly why I tell my students to be sure they have an account on LinkedIn — which is owned by Microsoft. A piece of Microsoft will likely traverse down the AI-based pathway. (I also encourage them to have other pieces of their digital/online-based footprint such as an account on Twitter as well as their own WordPress-based blog). Data mining and the use of AI for hiring will only pick up steam from here on out. If you don’t exist online, you had better have a lot of contacts and foots in the doors elsewhere.

Today more than ever, finding top talent will depend on a recruiter’s ability to intelligently automate their workflow.

Google is shifting their focus from Search to artificial intelligence, CEO says — from zmescience.com by

Excerpt:

While delivering Google’s first quarterly income report on Thursday, the company’s CEO said that Google is transitioning — the search-engine giant will become an A.I.-first company.

“We continue to set the pace in machine learning and A.I. research,” said Google CEO Sundar Pichai said in a call [embedded at the end of the article] to investors on Thursday to report the company’s Q1 2017 earnings.

“We’re transitioning to an A.I.-first company.”

A revolutionary partnership: How artificial intelligence is pushing man and machine closer together — from pcw.com

Excerpt:

With more than $5 billion in 605 deals of VC investment over last 2 years, artificial intelligence (AI) is poised to have a transformative effect on consumer, enterprise, and government markets around the world. While there are certainly obstacles to overcome, consumers believe that AI has the potential to assist in medical breakthroughs, democratize costly services, elevate poor customer service, and even free up an overburdened workforce. We dug deeper into those perceptions through an online survey of consumers and business decision makers, and an expert salon with thought leaders in the field. This original research unpacks key ways AI may impact our world, delving into its implications for society, service, and management.

Also see:

AI has the potential to become a great equalizer. More than half of consumers believe AI will provide educational help to disadvantaged schoolchildren. Over 40% also believe AI will expand access to financial, medical, legal, and transportation services to those with lower incomes.

Consumers also see the value in sharing their personal information for the greater good: 62% would share their data to help relieve traffic in their cities and 57% would do so to further medical breakthroughs.

Can Virtual Reality “teach” empathy? [Berdik]

On 02/15/2017, in platforms, psychology, real-world assignments, relationships, society, sociology, student-related, user experience (UX), Virtual Reality (VR) / worlds / learning, by Daniel Christian

Can Virtual Reality “teach” empathy? — from hechingerreport.org by Chris Berdik
Immersive VR in the classroom is spreading fast, as teachers take students into other worlds

Excerpt:

In November 2015, middle-school students from Westchester County, New York, found themselves on a windswept field in South Sudan mingling with a crowd of refugees fleeing civil war. Suddenly, they heard the deafening roar of low-flying military cargo planes overhead, followed by large bags of grain thudding to the ground all around them.

“The kids were jumping back from those bags dropping at their feet,” recalled Cayne Letizia, the teacher who used immersive virtual reality (VR) to transport his class into this emergency food drop featured in the New York Times 360-degree video series about refugees. Count Letizia among VR’s burgeoning fan base in education, where the spread of high-quality content and more-affordable hardware (especially Google’s $15 Cardboard Viewer) gives students myriad ways to briefly inhabit what they’re learning—from wandering the streets of ancient Rome to touring the International Space Station.

From DSC:
I read the other day where someone asserted that you can’t make someone be more empathetic. That may be so, but VR can sure put you in someone else’s shoes — big time! And that seems like in many cases, that can be a good thing in terms of understanding what someone else might be going through.

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