Microsoft Education offers a free tutoring service to help students with their math problems — from educatorstechnology.com

Excerpt:

In today’s post I want to bring to your attention this interesting math resource from Microsoft Education called Tutoring Experts. As its name indicates, Tutoring Experts allows students to seek help with their math problems from tutors that are available 24/7.

Also see:

Get instant math help from expert tutors.

From DSC:
One wonders if there aren’t some opportunities here for more online-based tutoring services. Perhaps graduates from schools of education will move more towards this type of thing…

Perhaps the online-based materials in the future will have a question mark “?” icon that instantly connects to that service’s teachers, professors, trainers, pastors, and/or other SMEs. Or perhaps this type of thing is already there…I’m not sure.

 

From DSC:
After seeing the following two items, I wondered…should more professors, teachers, and staff members be on Substack?

DC: Should more professors, teachers, staff members, & trainers be on Substack?


Heather Cox Richardson Offers a Break From the Media Maelstrom. It’s Working. — from nytimes.com by Ben Smith
She is the breakout star of the newsletter platform Substack, doing the opposite of most media as she calmly situates the news of the day in the long sweep of American history.

Excerpt:

Last Wednesday, I broke the news to Heather Cox Richardson that she was the most successful individual author of a paid publication on the breakout newsletter platform Substack.

Early that morning, she had posted that day’s installment of “Letters From an American” to Facebook, quickly garnering more than 50,000 reactions and then, at 2:14 a.m., she emailed it to about 350,000 people.

The news of her ranking seemed to startle Dr. Richardson, who in her day job is a professor of 19th century American history at Boston College. The Substack leader board, a subject of fascination among media insiders, is a long way from her life on a Maine peninsula — particularly as the pandemic has ended her commute — that seems drawn from the era she studies.

Is Substack the Media Future We Want? — from newyorker.com by Anna Wiener
The newsletter service is a software company that, by mimicking some of the functions of newsrooms, has made itself difficult to categorize.

Excerpt:

…Substack, a service that enables writers to draft, edit, and send e-mail newsletters to subscribers. Writers can choose whether subscriptions are free or paid; the minimum charge for paid subscriptions is five dollars a month or thirty dollars a year, and Substack takes ten percent of all revenue.

 

The 12/31/20 EIEIO from Michael Moe 

The 12/31/20 EIEIO from Michael Moe 

Excerpts:

The 10 Megatrends Shaping Our World

  1. Knowledge Economy
  2. Global Silicon Valley 
  3. Digitization
  4. Smart Everything
  5. HomeWork
    The Office has become optional but the Zoom Room has become essential. 88% of companies encouraged or required employees to work from home during the pandemic. A near term problem that is rapidly being solved is that only 1 in 4 people are set up currently to work efficiently from home but 99% of employees say they like that option. Overall, due to reducing commutes, office distractions etc., productivity on average rose for most knowledge workers up to 20% greater.It is expected that many knowledge workers will continue to work from home even post the pandemic.
  6. Winner Take All
  7. Data King
  8. Sustainability
  9. Everything is a Subscription
  10. Mission Corp

 

 

7 Questions Every Leader Should Ask Themselves at the End of the Year — from inc.com by Raj Jana
The first step to a better year ahead is taking the time to reflect on the one prior.

Excerpts:

  1. Who or what would you like to praise?
  2. What would you like to praise yourself for?
  3. What would you like to let go of moving into 2021?
  4. What did you love most about 2020?
  5. What would you want more of, or want to be different in 2021?
  6. What would you need to feel complete closure in 2020?
  7. What’s next for you in the week ahead?
 
 

Many students complain that online-based learning doesn’t engage them. Well, check this idea out! [Christian]


From DSC…by the way, another title for this blog could have been:

WIN-WIN situations all around! The Theatre Departments out there could collaborate with other depts/disciplines to develop highly engaging, digitally-based learning experiences! 


The future of drama and the theatre — as well as opera, symphonies, and more — will likely include a significant virtual/digital component to them. While it’s too early to say that theatre needs to completely reinvent itself and move “the stage” completely online, below is an idea that creates a variety of WIN-WIN situations for actors, actresses, stage designers, digital audio/video editors, fine artists, graphic designers, programmers, writers, journalists, web designers, and many others as well — including the relevant faculty members!

A new world of creative, engaging, active learning could open up if those involved with the Theatre Department could work collaboratively with students/faculty members from other disciplines. And in the end, the learning experiences and content developed would be highly engaging — and perhaps even profitable for the institutions themselves!

A WIN-WIN situation all around! The Theatre Department could collaborate with other depts/disciplines to develop highly engaging learning experiences!

[DC: I only slightly edited the above image from the Theatre Department at WMU]

 

Though the integration of acting with online-based learning materials is not a new idea, this post encourages a far more significant interdisciplinary collaboration between the Theatre Department and other departments/disciplines.

Consider a “Dealing with Bias in Journalism” type of topic, per a class in the Digital Media and Journalism Major.

  • Students from the Theatre Department work collaboratively with the students from the most appropriate class(es?) from the Communications Department to write the script, as per the faculty members’ 30,000-foot instructions (not 1000-foot level/detailed instructions)
  • Writing the script would entail skills involved with research, collaboration, persuasion, creativity, communication, writing, and more
  • The Theatre students would ultimately act out the script — backed up by those learning about sound design, stage design, lighting design, costume design, etc.
  • Example scene: A woman is sitting around the kitchen table, eating breakfast and reading a posting — aloud — from a website that includes some serious bias in it that offends the reader. She threatens to cancel her subscription, contact the editor, and more. She calls out to her partner why she’s so mad about the article. 
  • Perhaps there could be two or more before/after scenes, given some changes in the way the article was written.
  • Once the scenes were shot, the digital video editors, programmers, web designers, and more could take that material and work with the faculty members to integrate those materials into an engaging, interactive, branching type of learning experience. 
  • From there, the finished product would be deployed by the relevant faculty members.

Scenes from WMU's Theatre Department

[DC: Above images from the Theatre Department at WMU]

 

Colleges and universities could share content with each other and/or charge others for their products/content/learning experiences. In the future, I could easily see a marketplace for buying and selling such engaging content. This could create a needed new source of revenue — especially given that those large auditoriums and theaters are likely not bringing in as much revenue as they typically do. 

Colleges and universities could also try to reach out to local acting groups to get them involved and continue to create feeders into the world of work.

Other tags/categories could include:

  • MOOCs
  • Learning from the Living[Class]Room
  • Multimedia / digital literacy — tools from Adobe, Apple, and others.
  • Passions, participation, engagement, attention.
  • XR: Creating immersive, Virtual Reality (VR)-based experiences
  • Learning Experience Design
  • Interaction Design
  • Interface Design
  • …and more

Also see:

What improv taught me about failure: As a teacher and academic — from scholarlyteacher.com by Katharine Hubbard

what improv taught me about failure -as a teacher and academic

In improv, the only way to “fail” is to overthink and not have fun, which reframed what failure was on a grand scale and made me start looking at academia through the same lens. What I learned about failure through improv comes back to those same two core concepts: have fun and stop overthinking.

Students are more engaged when the professor is having fun with the materials (Keller, Hoy, Goetz, & Frenzel, 2016), and teaching is more enjoyable when we are having fun ourselves.

 

Young and in Legal Tech: Are You Sure You Want to Make the Leap? — from law.com by Zach Warren
Because of a changing law firm model, starting a legal technology company is becoming more attractive than ever for young law firm grads and associates. But legal tech founders say that while there are benefits, a smooth landing isn’t guaranteed

Excerpt:

Listening is the primary way to help balance on a precarious tightrope, Rubin adds. “It’s a delicate line to walk when you’re starting a company between being humble and really knowing that you’ve never started a company before and you haven’t been practicing for 30 years. There are a lot of things you don’t know. But also having conviction that you have an idea that you really stick to and that you believe can be a serious changemaker in an industry that has struggled with change.”

 

An analysis of the value of the ways of learning at work — from modernworkplacelearning.com by Jane Hart

An analysis of the value of the ways of learning at work

However, I think the most interesting profile of them all is for those who are in non-salaried/freelance positions in the workplace (8%). These people still highly value learning from the daily work, but for them learning from professional networking and access to external resources and blogs and feeds is much more important to them than through internal resources and courses. Interestingly, though conferences are valued less than the average profile – which is probably due to cost and the more significant fact that they can learn more efficiently in other ways.

I believe this is the profile that is going to become more and more relevant and important as the work environment changes, where there are no jobs for life and everyone needs to take responsibility for their own learning and development.

 

7 Artificial Intelligence Trends to Watch in 2020 — from interestingengineering.com by Christopher McFadden

Excerpts:

Per this article, the following trends were listed:

  1. Computer Graphics will greatly benefit from AI
  2. Deepfakes will only get better, er, worse
  3. Predictive text should get better and better
  4. Ethics will become more important as time goes by
  5. Quantum computing will supercharge AI
  6. Facial recognition will appear in more places
  7. AI will help in the optimization of production pipelines

Also, this article listed several more trends:

According to sources like The Next Web, some of the main AI trends for 2020 include:

  • The use of AI to make healthcare more accurate and less costly
  • Greater attention paid to explainability and trust
  • AI becoming less data-hungry
  • Improved accuracy and efficiency of neural networks
  • Automated AI development
  • Expanded use of AI in manufacturing
  • Geopolitical implications for the uses of AI

Artificial Intelligence offers great potential and great risks for humans in the future. While still in its infancy, it is already being employed in some interesting ways.

According to sources like Forbes, some of the next “big things” in technology include, but are not limited to:

  • Blockchain
  • Blockchain As A Service
  • AI-Led Automation
  • Machine Learning
  • Enterprise Content Management
  • AI For The Back Office
  • Quantum Computing AI Applications
  • Mainstreamed IoT

Also see:

Artificial intelligence predictions for 2020: 16 experts have their say — from verdict.co.uk by Ellen Daniel

Excerpts:

  • Organisations will build in processes and policies to prevent and address potential biases in AI
  • Deepfakes will become a serious threat to corporations
  • Candidate (and employee) care in the world of artificial intelligence
  • AI will augment humans, not replace them
  • Greater demand for AI understanding
  • Ramp up in autonomous vehicles
  • To fully take advantage of AI technologies, you’ll need to retrain your entire organisation
  • Voice technologies will infiltrate the office
  • IT will run itself while data acquires its own DNA
  • The ethics of AI
  • Health data and AI
  • AI to become an intrinsic part of robotic process automation (RPA)
  • BERT will open up a whole new world of deep learning use cases

The hottest trend in the industry right now is in Natural Language Processing (NLP). Over the past year, a new method called BERT (Bidirectional Encoder Representations from Transformers) has been developed for designing neural networks that work with text. Now, we suddenly have models that will understand the semantic meaning of what’s in text, going beyond the basics. This creates a lot more opportunity for deep learning to be used more widely.

 

 

The Jobs of Tomorrow: LinkedIn’s 2020 Emerging Jobs Report — from blog.linkedin.com by Guy Berger

Excerpt:

Here’s what you should know about this year’s emerging jobs.

  • Artificial intelligence (AI) continues to make a strong showing on our Emerging Jobs lists, which is no surprise.
  • Professionals are on the move, likely a result of factors like housing costs, political and regulatory change, or more flexibility with remote work opportunities.
  • Demand for soft skills is likely to increase as automation becomes more widespread. Skills like communication, creativity, and collaboration are all virtually impossible to automate…

Also see these reports:

Online learning is here to stay.
The multibillion-dollar e-learning industry is taking off, and it’s staffing up to prepare. LinkedIn data shows the industry is snapping up both sales and tech talent, indicating continued customer demand for these types of solutions.

 

Upwork debuts The Upwork 100, ranking the top 100 in-demand skills for independent professionals — from upwork.com

Excerpt:

The Upwork 100 ranks the top 100 skills and sheds light on skills that are both quickly growing and also experiencing a high level of demand, providing an indication of current trends in the independent labor market and tech industry. It also serves as a barometer of the skills businesses are seeking and that independent professionals are providing by balancing real-time insights with consistent patterns based on real work that’s been completed.

 

 

 

IN the future

 

Amazon’s Ring planned neighborhood “watch lists” built on facial recognition — from theintercept.com by Sam Biddle

Excerpts (emphasis DSC):

Ring, Amazon’s crime-fighting surveillance camera division, has crafted plans to use facial recognition software and its ever-expanding network of home security cameras to create AI-enabled neighborhood “watch lists,” according to internal documents reviewed by The Intercept.

Previous reporting by The Intercept and The Information revealed that Ring has at times struggled to make facial recognition work, instead relying on remote workers from Ring’s Ukraine office to manually “tag” people and objects found in customer video feeds.

Legal scholars have long criticized the use of governmental watch lists in the United States for their potential to ensnare innocent people without due process. “When corporations create them,” said Tajsar, “the dangers are even more stark.” As difficult as it can be to obtain answers on the how and why behind a federal blacklist, American tech firms can work with even greater opacity: “Corporations often operate in an environment free from even the most basic regulation, without any transparency, with little oversight into how their products are built and used, and with no regulated mechanism to correct errors,” Tajsar said.

 

From DSC:
Those working or teaching within the legal realm — this one’s for you. But it’s also for the leadership of the C-Suites in our corporate world — as well as for all of those programmers, freelancers, engineers, and/or other employees working on AI within the corporate world.

By the way, and not to get all political here…but who’s to say what happens with our data when it’s being reviewed in Ukraine…?

 

Also see:

  • Opinion: AI for good is often bad — from wired.com by Mark Latonero
    Trying to solve poverty, crime, and disease with (often biased) technology doesn’t address their root causes.
 

FTI 2020 Trend Report for Entertainment, Media, & Technology [FTI]

 

FTI 2020 Trend Report for Entertainment, Media, & Technology — from futuretodayinstitute.com

Our 3rd annual industry report on emerging entertainment, media and technology trends is now available.

  • 157 trends
  • 28 optimistic, pragmatic and catastrophic scenarios
  • 10 non-technical primers and glossaries
  • Overview of what events to anticipate in 2020
  • Actionable insights to use within your organization

KEY TAKEAWAYS

  • Synthetic media offers new opportunities and challenges.
  • Authenticating content is becoming more difficult.
  • Regulation is coming.
  • We’ve entered the post-fixed screen era.
  • Voice Search Optimization (VSO) is the new Search Engine Optimization (SEO).
  • Digital subscription models aren’t working.
  • Advancements in AI will mean greater efficiencies.

 

 

 

In the 2030 and beyond world, employers will no longer be a separate entity from the education establishment. Pressures from both the supply and demand side are so large that employers and learners will end up, by default, co-designing new learning experiences, where all learning counts.

 

OBJECTIVES FOR CONVENINGS

  • Identify the skills everyone will need to navigate the changing relationship between machine intelligence and people over the next 10-12 years.
  • Develop implications for work, workers, students, working learners, employers, and policymakers.
  • Identify a preliminary set of actions that need to be taken now to best prepare for the changing work + learn ecosystem.

Three key questions guided the discussions:

  1. What are the LEAST and MOST essential skills needed for the future?
  2. Where and how will tomorrow’s workers and learners acquire the skills they really need?
  3. Who is accountable for making sure individuals can thrive in this new economy?

This report summarizes the experts’ views on what skills will likely be needed to navigate the work + learn ecosystem over the next 10–15 years—and their suggested steps for better serving the nation’s future needs.

 

In a new world of work, driven especially by AI, institutionally-sanctioned curricula could give way to AI-personalized learning. This would drastically change the nature of existing social contracts between employers and employees, teachers and students, and governments and citizens. Traditional social contracts would need to be renegotiated or revamped entirely. In the process, institutional assessment and evaluation could well shift from top-down to new bottom-up tools and processes for developing capacities, valuing skills, and managing performance through new kinds of reputation or accomplishment scores.

 

In October 2017, Chris Wanstrath, CEO of Github, the foremost code-sharing and social networking resource for programmers today, made a bold statement: “The future of coding is no coding at all.” He believes that the writing of code will be automated in the near future, leaving humans to focus on “higher-level strategy and design of software.” Many of the experts at the convenings agreed. Even creating the AI systems of tomorrow, they asserted, will likely require less human coding than is needed today, with graphic interfaces turning AI programming into a drag-and-drop operation.

Digital fluency does not mean knowing coding languages. Experts at both convenings contended that effectively “befriending the machine” will be less about teaching people to code and more about being able to empathize with AIs and machines, understanding how they “see the world” and “think” and “make decisions.” Machines will create languages to talk to one another.

Here’s a list of many skills the experts do not expect to see much of—if at all—in the future:

  • Coding. Systems will be self-programming.
  • Building AI systems. Graphic interfaces will turn AI programming into drag-and-drop operations.
  • Calendaring, scheduling, and organizing. There won’t be need for email triage.
  • Planning and even decision-making. AI assistants will pick this up.
  • Creating more personalized curricula. Learners may design more of their own personalized learning adventure.
  • Writing and reviewing resumes. Digital portfolios, personal branding, and performance reputation will replace resumes.
  • Language translation and localization. This will happen in real time using translator apps.
  • Legal research and writing. Many of our legal systems will be automated.
  • Validation skills. Machines will check people’s work to validate their skills.
  • Driving. Driverless vehicles will replace the need to learn how to drive.

Here’s a list of the most essential skills needed for the future:

  • Quantitative and algorithmic thinking.  
  • Managing reputation.  
  • Storytelling and interpretive skills.  
  • First principles thinking.  
  • Communicating with machines as machines.  
  • Augmenting high-skilled physical tasks with AI.
  • Optimization and debugging frame of mind.
  • Creativity and growth mindset.
  • Adaptability.
  • Emotional intelligence.
  • Truth seeking.
  • Cybersecurity.

 

The rise of machine intelligence is just one of the many powerful social, technological, economic, environmental, and political forces that are rapidly and disruptively changing the way everyone will work and learn in the future. Because this largely tech-driven force is so interconnected with other drivers of change, it is nearly impossible to understand the impact of intelligent agents on how we will work and learn without also imagining the ways in which these new tools will reshape how we live.

 

 

 

To higher ed: When the race track is going 180mph, you can’t walk or jog onto the track. [Christian]

From DSC:
When the race track is going 180mph, you can’t walk or jog onto the track.  What do I mean by that? 

Consider this quote from an article that Jeanne Meister wrote out at Forbes entitled, “The Future of Work: Three New HR Roles in the Age of Artificial Intelligence:”*

This emphasis on learning new skills in the age of AI is reinforced by the most recent report on the future of work from McKinsey which suggests that as many as 375 million workers around the world may need to switch occupational categories and learn new skills because approximately 60% of jobs will have least one-third of their work activities able to be automated.

Go scan the job openings and you will likely see many that have to do with technology, and increasingly, with emerging technologies such as artificial intelligence, deep learning, machine learning, virtual reality, augmented reality, mixed reality, big data, cloud-based services, robotics, automation, bots, algorithm development, blockchain, and more. 

 

From Robert Half’s 2019 Technology Salary Guide 

 

 

How many of us have those kinds of skills? Did we get that training in the community colleges, colleges, and universities that we went to? Highly unlikely — even if you graduated from one of those institutions only 5-10 years ago. And many of those institutions are often moving at the pace of a nice leisurely walk, with some moving at a jog, even fewer are sprinting. But all of them are now being asked to enter a race track that’s moving at 180mph. Higher ed — and society at large — are not used to moving at this pace. 

This is why I think that higher education and its regional accrediting organizations are going to either need to up their game hugely — and go through a paradigm shift in the required thinking/programming/curricula/level of responsiveness — or watch while alternatives to institutions of traditional higher education increasingly attract their learners away from them.

This is also, why I think we’ll see an online-based, next generation learning platform take place. It will be much more nimble — able to offer up-to-the minute, in-demand skills and competencies. 

 

 

The below graphic is from:
Jobs lost, jobs gained: What the future of work will mean for jobs, skills, and wages

 

 

 


 

* Three New HR Roles To Create Compelling Employee Experiences
These new HR roles include:

  1. IBM: Vice President, Data, AI & Offering Strategy, HR
  2. Kraft Heinz Senior Vice President Global HR, Performance and IT
  3. SunTrust Senior Vice President Employee Wellbeing & Benefits

What do these three roles have in common? All have been created in the last three years and acknowledge the growing importance of a company’s commitment to create a compelling employee experience by using data, research, and predictive analytics to better serve the needs of employees. In each case, the employee assuming the new role also brought a new set of skills and capabilities into HR. And importantly, the new roles created in HR address a common vision: create a compelling employee experience that mirrors a company’s customer experience.

 


 

An excerpt from McKinsey Global Institute | Notes from the Frontier | Modeling the Impact of AI on the World Economy 

Workers.
A widening gap may also unfold at the level of individual workers. Demand for jobs could shift away from repetitive tasks toward those that are socially and cognitively driven and others that involve activities that are hard to automate and require more digital skills.12 Job profiles characterized by repetitive tasks and activities that require low digital skills may experience the largest decline as a share of total employment, from some 40 percent to near 30 percent by 2030. The largest gain in share may be in nonrepetitive activities and those that require high digital skills, rising from some 40 percent to more than 50 percent. These shifts in employment would have an impact on wages. We simulate that around 13 percent of the total wage bill could shift to categories requiring nonrepetitive and high digital skills, where incomes could rise, while workers in the repetitive and low digital skills categories may potentially experience stagnation or even a cut in their wages. The share of the total wage bill of the latter group could decline from 33 to 20 percent.13 Direct consequences of this widening gap in employment and wages would be an intensifying war for people, particularly those skilled in developing and utilizing AI tools, and structural excess supply for a still relatively high portion of people lacking the digital and cognitive skills necessary to work with machines.

 


 

 
© 2021 | Daniel Christian