community colleges

Training the workforce of the future [Bauman]

On 01/11/2019, in 21st century, 3D, adjunct faculty, adult learning, Artificial Intelligence / Machine Learning / Deep Learning, business, career development, change, cloud-based computing / apps / other cloud-related, colleges, community colleges, content development, corporate / business world, curriculum, dangers of the status quo, data mining, education, education reform, emerging technologies, engineering, faculty, future, future of higher education, game-changing environment, heutagogy, higher education, ideas, internet, Law Schools, Lifelong learning, mathematics, professional development, reinvent, robotics, science, society, staying relevant, STEAM-related, student-related, surviving, technology (general), training / L&D, trends, UK, United States, universities, virtual reality / worlds / learning, wearables, workplace, XR - extended reality, youth, by Daniel Christian

Training the workforce of the future: Education in America will need to adapt to prepare students for the next generation of jobs – including ‘data trash engineer’ and ‘head of machine personality design’ –– from dailymail.co.uk by Valerie Bauman

Excerpts:

Careers that used to safely dodge the high-tech bullet will soon require at least a basic grasp of things like web design, computer programming and robotics – presenting a new challenge for colleges and universities
A projected 85 percent of the jobs that today’s college students will have in 2030 haven’t been invented yet
The coming high-tech changes are expected to touch a wider variety of career paths than ever before
Many experts say American universities aren’t ready for the change because the high-tech skills most workers will need are currently focused just on people specializing in science, technology, engineering and math

.

The five most important new jobs in AI, according to KPMG — from qz.com by Cassie Werber

Excerpt:

Perhaps as a counter to the panic that artificial intelligence will destroy jobs, consulting firm KPMG published a list (on 1/8/19) of what it predicts will soon become the five most sought-after AI roles. The predictions are based on the company’s own projects and those on which it advises. They are:

AI Architect – Responsible for working out where AI can help a business, measuring performance and—crucially— “sustaining the AI model over time.” Lack of architects “is a big reason why companies cannot successfully sustain AI initiatives,” KMPG notes.
AI Product Manager – Liaises between teams, making sure ideas can be implemented, especially at scale. Works closely with architects, and with human resources departments to make sure humans and machines can all work effectively.
Data Scientist – Manages the huge amounts of available data and designs algorithms to make it meaningful.
AI Technology Software Engineer – “One of the biggest problems facing businesses is getting AI from pilot phase to scalable deployment,” KMPG writes. Software engineers need to be able both to build scalable technology and understand how AI actually works.
AI Ethicist – AI presents a host of ethical challenges which will continue to unfold as the technology develops. Creating guidelines and ensuring they’re upheld will increasingly become a full-time job.

While it’s all very well to list the jobs people should be training and hiring for, it’s another matter to actually create a pipeline of people ready to enter those roles. Brad Fisher, KPMG’s US lead on data and analytics and the lead author of the predictions, tells Quartz there aren’t enough people getting ready for these roles.

Fisher has a steer for those who are eyeing AI jobs but have yet to choose an academic path: business process skills can be “trained,” he said, but “there is no substitute for the deep technical skillsets, such as mathematics, econometrics, or computer science, which would prepare someone to be a data scientist or a big-data software engineer.”

From DSC:
I don’t think institutions of higher education (as well as several other types of institutions in our society) are recognizing that the pace of technological change has changed, and that there are significant ramifications to those changes upon society. And if these institutions have picked up on it, you can hardly tell. We simply aren’t used to this pace of change.

Technologies change quickly. People change slowly. And, by the way, that is not a comment on how old someone is…change is hard at almost any age.

DC: Is this type of functionality another piece of a next generation, powerful, global learning platform!?!?!

On 01/09/2019, in 1:1 / 1:World, 21st century, A/V -- audio/visual, accessibility, adjunct faculty, adult learning, Artificial Intelligence / Machine Learning / Deep Learning, business, career development, change, changing business models, cloud-based computing / apps / other cloud-related, collaboration, colleges, communications, communities of practice, community colleges, computer science, content development, corporate / business world, corporate universities / corporate training, cost of getting a degree, dangers of the status quo, Daniel S. Christian, disruption, distance education, education, education technology, emerging technologies, engagement / engaging students, faculty, future, future of higher education, game-changing environment, global / globalization, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, Languages and translation, learner profiles, learning, learning ecosystem, learning from the living [class] room, learning spaces, Microsoft, online learning, personalized/customized learning, platforms, productivity / tips and tricks, second screen apps, special needs, teachers, teaching & learning, tools, training / L&D, universities, usability, user experience (UX), vendors, Walmart of Education --> New Amazon.com of Higher Education, web-based collaboration, by Daniel Christian

Presentation Translator for PowerPoint — from Microsoft (emphasis below from DSC:)

Presentation Translator breaks down the language barrier by allowing users to offer live, subtitled presentations straight from PowerPoint. As you speak, the add-in powered by the Microsoft Translator live feature, allows you to display subtitles directly on your PowerPoint presentation in any one of more than 60 supported text languages. This feature can also be used for audiences who are deaf or hard of hearing.

Additionally, up to 100 audience members in the room can follow along with the presentation in their own language, including the speaker’s language, on their phone, tablet or computer.

From DSC:
Up to 100 audience members in the room can follow along with the presentation in their own language! Wow!

Are you thinking what I’m thinking?! If this could also address learners and/or employees outside the room as well, this could be an incredibly powerful piece of a next generation, global learning platform!

Automatic translation with subtitles — per the learner’s or employee’s primary language setting as established in their cloud-based learner profile. Though this posting is not about blockchain, the idea of a cloud-based learner profile reminds me of the following graphic I created in January 2017.

A couple of relevant quotes here:

A number of players and factors are changing the field. Georgia Institute of Technology calls it “at-scale” learning; others call it the “mega-university” — whatever you call it, this is the advent of the very large, 100,000-plus-student-scale online provider. Coursera, edX, Udacity and FutureLearn (U.K.) are among the largest providers. But individual universities such as Southern New Hampshire, Arizona State and Georgia Tech are approaching the “at-scale” mark as well. One could say that’s evidence of success in online learning. And without question it is.

But, with highly reputable programs at this scale and tuition rates at half or below the going rate for regional and state universities, the impact is rippling through higher ed. Georgia Tech’s top 10-ranked computer science master’s with a total expense of less than $10,000 has drawn more than 10,000 qualified majors. That has an impact on the enrollment at scores of online computer science master’s programs offered elsewhere. The overall online enrollment is up, but it is disproportionately centered in affordable scaled programs, draining students from the more expensive, smaller programs at individual universities. The dominoes fall as more and more high-quality at-scale programs proliferate.

— Ray Schroeder

Education goes omnichannel. In today’s connected world, consumers expect to have anything they want available at their fingertips, and education is no different. Workers expect to be able to learn on-demand, getting the skills and knowledge they need in that moment, to be able to apply it as soon as possible. Moving fluidly between working and learning, without having to take time off to go to – or back to – school will become non-negotiable.

Anant Agarwal

From DSC:
Is there major change/disruption ahead? Could be…for many, it can’t come soon enough.

How to teach a good first day of class — from chronicle.com by James Lang
Four Key Principles | Before the First Day | The First Day of Class | After the First Day | Resources

Excerpt (emphasis DSC):

Do not begin the first day of the semester by immediately handing out the syllabus. Instead, spark their curiosity about the content first, and then demonstrate — with a review of the syllabus — how the course content can help satisfy that curiosity.

From DSC:
I think what’s also implied here is putting one’s case forward about how the content is ***relevant*** today.

Also this is a good practice to do as well, but for the end of the term/semester/quarter/whatever:

As we careen toward the end of the semester, take a moment to reflect: What was the best new thing you tried this semester? Mine was recording and posting to the LMS five-minute video overviews for each week–casual, just me and the laptop camera–on Sunday evenings. #teaching

— James M. Lang (@LangOnCourse) December 10, 2018

Reflections on “The world is changing. Here’s how companies must adapt.” [Kaeser]

On 01/03/2019, in 21st century, adult learning, algorithms, Artificial Intelligence / Machine Learning / Deep Learning, Asia, Australia, bots, business, Canada, career development, change, changing business models, collaboration, colleges, communications, communities of practice, community colleges, computer science, corporate / business world, corporate universities / corporate training, dangers of the status quo, Daniel S. Christian, digital learning, education, education reform, emerging technologies, engineering, entrepreneurship, ethics, Europe, future, game-changing environment, generational differences, global / globalization, heutagogy, higher education, human-computer interaction (HCI), ideas, India, innovation, intelligent systems, internet, Law Schools, learning, learning ecosystem, legislatures / government / legal, Lifelong learning, machine-to-machine communications, MBA, new business models, online learning, organizational change, pace of change, platforms, policy, political science, reinvent, society, staying relevant, strategy, student-related, surviving, Technologies for your home, technology (general), telecommunications, the downsides of technology, tools, training / L&D, trends, UK, United States, universities, vendors, vision, Walmart of Education --> New Amazon.com of Higher Education, web-based collaboration, workplace, youth, by Daniel Christian

The world is changing. Here’s how companies must adapt. — from weforum.org by Joe Kaeser, President and Chief Executive Officer, Siemens AG

Excerpts (emphasis DSC):

Although we have only seen the beginning, one thing is already clear: the Fourth Industrial Revolution is the greatest transformation human civilization has ever known. As far-reaching as the previous industrial revolutions were, they never set free such enormous transformative power.

The Fourth Industrial Revolution is transforming practically every human activity...its scope, speed and reach are unprecedented.
…
Enormous power (Insert from DSC: What I was trying to get at here) entails enormous risk. Yes, the stakes are high.

“And make no mistake about it: we are now writing the code that will shape our collective future.” CEO of Siemens AG

…

Contrary to Milton Friedman’s maxim, the business of business should not just be business. Shareholder value alone should not be the yardstick. Instead, we should make stakeholder value, or better yet, social value, the benchmark for a company’s performance.

Today, stakeholders…rightfully expect companies to assume greater social responsibility, for example, by protecting the climate, fighting for social justice, aiding refugees, and training and educating workers. The business of business should be to create value for society.

…

This seamless integration of the virtual and the physical worlds in so-called cyber-physical systems – that is the giant leap we see today. It eclipses everything that has happened in industry so far. As in previous industrial revolutions but on a much larger scale, the Fourth Industrial Revolution will eliminate millions of jobs and create millions of new jobs.

“…because the Fourth Industrial Revolution runs on knowledge, we need a concurrent revolution in training and education.
…
If the workforce doesn’t keep up with advances in knowledge throughout their lives, how will the millions of new jobs be filled?”

Joe Kaeser, President and Chief Executive Officer, Siemens AG

From DSC:
At least three critically important things jump out at me here:

We are quickly approaching a time when people will need to be able to reinvent themselves quickly and cost-effectively, especially those with families and who are working in their (still existing) jobs. (Or have we already entered this period of time…?)
There is a need to help people identify which jobs are safe to reinvent themselves to — at least for the next 5-10 years.
Citizens across the globe — and their relevant legislatures, governments, and law schools — need to help close the gap between emerging technologies and whether those technologies should even be rolled out, and if so, how and with which features.

What freedoms and rights should individuals have in the digital age?

Joe Kaeser, President and Chief Executive Officer, Siemens AG

MOOCs are dead, welcome MOOC-based degrees — from iblnews.org

Coursera, edX, Udacity grew their businesses by over 20% in 2018 — from iblnews.org

Also see:

Reinventing the College Degree: A Future with Modular Credentials — from iblnews.org

Excerpt:

Rapidly changing technology is impacting the workforce and the economy, highlighting the need to be continually learning and refreshing skills in order to stay relevant. Additionally, the jobs of the future will require a set of skills from a variety of subject areas. “We have to rethink our education system,” writes Anant Agarwal, CEO at edX, on a column in Quartz.

A summary of Mr. Agarwal’s ideas:

Lego-like modular education…
MOOCs at scale, with personalized pacing and open admissions…
Modular credentials…

From DSC:
Not too long ago, I really enjoyed watching a program on PBS regarding America’s 100 most-loved books, entitled, “The Great American Read.”

Watch “The Grand Finale”

While that’s not the show I’m talking about, it got me to thinking of one similar to it — something educational, yet entertaining. But also, something more.

The program that came to my mind would be a program that’s focused on significant topics and issues within American society — offered up in a debate/presentation style format.

For example, you could have different individuals, groups, or organizations discuss the pros and cons of an issue or topic. The show would provide contact information for helpful resources, groups, organizations, legislators, etc. These contacts would be for learning more about a subject or getting involved with finding a solution for that problem.

For example, how about this for a potential topic: Grades or no grades?

What are the pros and cons of using an A-F grading system?
What are the benefits and issues/drawbacks with using grades?
How are we truly using grades Do we use them to rank and compare individuals, schools, school systems, communities? Do we use them to “weed people out” of a program?
With our current systems, what “product” do we get? Do we produce game-players or people who enjoy learning? (Apologies for some of my bias showing up here! But my son has become a major game-player and, likely, so did I at his age.)
How do grades jibe with Individualized Education Programs (IEPs)? On one hand…how do you keep someone moving forward, staying positive, and trying to keep learning/school enjoyable yet on the other hand, how do you have those grades mean something to those who obtain data to rank school systems, communities, colleges, programs, etc.?
How do grades impact one’s desire to learn throughout one’s lifetime?

…

Such debates could be watched by students and then they could have their own debates on subjects that they propose.

Or the show could have journalists debate college or high school teams. The format could sometimes involve professors and deans debating against researchers. Or practitioners/teachers debating against researchers/cognitive psychologists.

Such a show could be entertaining, yet highly applicable and educational. We would probably all learn something. And perhaps have our eyes opened up to a new perspective on an issue.

Or better yet, we might actually resolve some more issues and then move on to address other ones!

Assessment for Learning: It Just Makes Sense [Box]

On 12/27/2018, in adjunct faculty, assessment, Canvas - and other Instructure-related items, CMS/LMS, colleges, community colleges, faculty, formal learning, higher education, instructional design, K-12 related, learning, learning ecosystem, online learning, pedagogy, teachers, teaching & learning, universities, by Daniel Christian

Assessment for Learning: It Just Makes Sense — from facultyfocus.com by Cathy Box

Excerpt:

Assessment for Learning (AfL), sometimes referred to as “formative assessment” has become part of the educational landscape in the U.S. and is heralded to significantly raise student achievement, yet we are often uncertain what it is and what it looks like in practice in higher education. To clarify, AfL includes the formal and informal processes that faculty and students use during instruction to gather evidence for the purpose of improving learning. The aim of AfL is to improve students’ mastery of the content and to equip and empower them as self-regulated, life-long learners.

There are many strategies that serve the purposes of AfL, commonly centered around three questions: 1) Where am I going? 2) Where am I now? and 3) How can I close the gap? (Chappuis, 2015; Sadler, 1989; Wiliam, 2011). This process represents a natural progression from the beginning of a lesson to closing the learning gaps at the end and provides a recursive loop when necessary. The following narrative describes two AfL strategies that I have found work extremely well in my courses, resulting in higher quality work, leaving me time to provide feedback on the more challenging aspects of the assignment. These strategies fall under the question “Where am I going?” and are true to the tenets of AfL, having a significant impact on learning and putting students squarely in the driver’s seat.

“Indeed as one of the most prolific writers on the topic, Alfie Kohn suggested, ‘assessment should be an unobtrusive servant of teaching and learning.’ (source)

How long before this type of thing is standard in smart classrooms & learning hubs? [Christian]

On 12/20/2018, in A/V -- audio/visual, adjunct faculty, algorithms, Artificial Intelligence / Machine Learning / Deep Learning, colleges, community colleges, Daniel S. Christian, education technology, emerging technologies, face-to-face, faculty, future, future of higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, learning, learning ecosystem, learning from the living [class] room, learning hubs, learning spaces, machine-to-machine communications, multimedia, Natural Language Processing (NLP), Near Field Communication (NFC), personalized/customized learning, platforms, smart classrooms, teachers, teaching & learning, Technologies for your home, technology (general), tools, universities, user experience (UX), vision, by Daniel Christian

From DSC:
When a professor walks into the room, the mobile device that the professor is carrying notifies the system to automatically establish his or her preferred settings for the room — and/or voice recognition allows a voice-based interface to adjust the room’s settings:

The lights dim to 50%
The projector comes on
The screen comes down
The audio is turned up to his/her liking
The LMS is logged into with his/her login info and launches the class that he/she is teaching at that time of day
The temperature is checked and adjusted if too high or low
Etc.

The re-education of Economics 101 [Nelson]

On 12/18/2018, in colleges, community colleges, economics, higher education, ideas, liberal arts, UK, universities, by Daniel Christian

The re-education of Economics 101 — from qz.com by Eshe Nelson

Excerpt:

CORE’s online textbook, The Economy, has rewritten the first year of an undergraduate economics degree. Its goal is to make economics a study of the real world and to embrace topics that are typically thought to be too complicated for the simplified equations and theories taught in most introductory classes. The creators of CORE, which stands for Curriculum Open access Resources in Economics, wanted to address the complaints of students who said they’d studied economics to understand issues like poverty, inequality, sustainability, and technological innovation but instead faced years of abstract economic theory and mathematical equations. These students didn’t want to become econometricians. They wanted to solve problems using economics to eradicate poverty, reduce inequality, measure the true impact of automation, and achieve sustainable growth.

Those complaints became too loud to ignore following the financial crisis a decade ago. When the global economy went into free fall, economists suffered a severe loss of credibility. They were vilified for not anticipating the financial crisis and further berated for their inability to offer credible ways to speed up the weak recovery, which dragged on almost to the present day. While most countries’ economies have now recovered, the reputation of the economics profession has not. Its failures not only enraged people who had lost their jobs and their livelihoods, it infuriated students all over the world as well. They felt they weren’t properly equipped to understand what had happened.

This is one of the reasons that some of today’s foremost problems—inequality, climate change, and financial crises—are either missing or oversimplified in economics teaching, they argue. Economists lost their way, they say. The desire for mathematical perfection and scientific precision was partly to blame. But so was a desire to influence public policy and cement the credibility of economics as a relatively new science. “The result of this education is that we, as the next generation of economic experts, are grossly underprepared to use effectively or responsibly the power we are given,” write the authors.

Also see:

Learning Ecosystems

The five most important new jobs in AI, according to KPMG [Werber]

DC: Is this type of functionality another piece of a next generation, powerful, global learning platform!?!?!

How long before this type of thing is standard in smart classrooms & learning hubs? [Christian]

The re-education of Economics 101 [Nelson]

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