From DSC:
From my perspective, both of the items below are highly-related to each other:

Let’s Teach Computer Science Majors to Be Good Citizens. The Whole World Depends on It. — from edsurge.com by Anne-Marie Núñez, Matthew J. Mayhew, Musbah Shaheen and Laura S. Dahl

Excerpt:

Change may need to start earlier in the workforce development pipeline. Undergraduate education offers a key opportunity for recruiting students from historically underrepresented racial and ethnic, gender, and disability groups into computing. Yet even broadened participation in college computer science courses may not shift the tech workforce and block bias from seeping into tech tools if students aren’t taught that diversity and ethics are essential to their field of study and future careers.

Computer Science Majors Lack Citizenship Preparation
Unfortunately, those lessons seem to be missing from many computer science programs.

…and an excerpt from Why AI can’t really filter out “hate news” — with thanks to Sam DeBrule for this resource (emphasis DSC):

The incomprehensibility and unexplainability of huge algorithms
Michael Egnor: What terrifies me about artificial intelligence — and I don’t think one can overstate this danger — is that artificial intelligence has two properties that make it particularly deadly in human civilization. One is concealment. Even though every single purpose in artificial intelligence is human, it’s concealed. We don’t really understand it. We don’t understand Google’s algorithms.

There may even be a situation where Google doesn’t understand Google’s algorithms. But all of it comes from the people who run Google. So the concealment is very dangerous. We don’t know what these programs are doing to our culture. And it may be that no one knows, but they are doing things.

Note:Roman Yampolskiy has written about the incomprehensibility and unexplainability of AI: “Human beings are finite in our abilities. For example, our short term memory is about 7 units on average. In contrast, an AI can remember billions of items and AI capacity to do so is growing exponentially. While never infinite in a true mathematical sense, machine capabilities can be considered such in comparison with ours. This is true for memory, compute speed, and communication abilities.” So we have built-in bias and incomprehensibility at the same time.

From DSC:
That part about concealment reminds me that our society depends upon the state of the hearts of the tech leaders. We don’t like to admit that, but it’s true. The legal realm is too far behind to stop the Wild West of technological change. The legal realm is trying to catch up, but they’re coming onto the race track with no cars…just as pedestrians walking or running as fast as they can….all the while, the technological cars are whizzing by. 

The pace has changed significantly and quickly

 

The net effect of all of this is that we are more dependent upon the ethics, morals, and care for their fellow humankind (or not) of the C-Suites out there (especially Facebook/Meta Platforms, Google, Microsoft, Amazon, Google, and Apple) than we care to admit. Are they producing products and services that aim to help our societies move forward, or are they just trying to make some more bucks? Who — or what — is being served?

The software engineers and software architects are involved here big time as well. “Just because we can doesn’t mean we should.” But that perspective is sometimes in short supply.

 
 

8 ways to keep learning and developing new skills while at home — from babbel.com by Alice Austin
Being stuck inside doesn’t have to mean an end to personal development. Here’s how to keep learning new things while staying at home.

Excerpt:

Free Code Camp has been assembling a long list of courses that span multiple disciplines, from Data Science and Business to Personal Development and Art. They’re all Massive Open Online Courses (MOOCs), and they allow you to take university-created online classes through providers such as Coursera or Udacity.

So that class you missed out your first time going to college? Now would be the time to go back and really enjoy it.

There are tons of online tutorials on YouTube and many apps that can help you hone your skills. Yousician is an app that provides video tutorials to learn piano, guitar, bass and ukulele. There are other apps that specialize in one area, like Flowkey for piano, or SingTrue for vocals. Whatever instrument you have lying around, there are definitely resources out there for you to improve your skills.

 

The Disruption Of Legal Services Is Here — from forbes.com by John Arsneault

Excerpt:

For the first time in those 12 years, I am now convinced we are on the precipice of the promised disruption in legal. Not because anyone in the law firms are driving toward this — but because venture capital and tech innovators have finally turned their attention to the industry.

Legal services are a much smaller overall market than, say, retail, financial services or biotech. In the world of disruption and the promised gold rush for the companies that do the disrupting, size matters. Legal has just been low on the industry list. Its number is now up.

It’s easy to Monday morning quarterback that industry now. Easy to see how big of a threat Amazon was to those companies. But when you are being rewarded for doing what you have always done and what your predecessors always did, it’s easy to miss what is around the bend. By the time those companies’ executives realized Amazon was a direct competitor with a much better fulfillment model, it was too late.

 

Sites and apps to enjoy with your kids — from wondertools.substack.com by Jeremy Caplan

Check out Jeremy’s list of sites and apps to review with your kids re:

  • Making music delightful
  • Bringing joy to science, math, and coding
  • Other fantastic resources for kids and families
 

What Will Online Learning Look Like in 10 Years? Zoom Has Some Ideas — from edsurge.com by Stephen Noonoo

Excerpt:

This week at Zoom’s annual conference, Zoomtopia, a trio of education-focused Zoom employees (er, Zoomers?) speculated wildly about what hybrid Zoom learning might look like 10 years from now, given the warp speed advances in artificial intelligence and machine learning expected. Below are highlights of their grandiose, if sometimes vague, vision for the future of learning on Zoom.

Zoom very much sees itself as one day innovating on personalized learning in a substantial way, although beyond breakout rooms and instant translation services, they have few concrete ideas in mind. Mostly, the company says it will be working to add more choices to how teachers can present materials and how students can display mastery to teachers in realtime. They’re bullish on Kahoot-like gamification features and new ways of assessing students, too.

Also see:

An Eighth Grader Was Tired of Being Late to Zoom School. So He Made an App for That. — from edsurge.com by Nadia Tamez-Robledo

“I could not find anything else that exists like this to automatically join meetings at the right times,” says Seth, a high school freshman based in Walnut Creek, Calif. “Reminders are just really easy to ignore. I’ll get a notification maybe five minutes before my meeting, and it’ll just sit there and not do anything. [LinkJoin] interrupts whatever you’re doing and says, ‘Join this meeting. In fact it’s already opening, so better get on it.’”

 

 

In the US, the AI Industry Risks Becoming Winner-Take-Most — from wired.com by Khari Johnson
A new study illustrates just how geographically concentrated AI activity has become.

Excerpt:

A NEW STUDY warns that the American AI industry is highly concentrated in the San Francisco Bay Area and that this could prove to be a weakness in the long run. The Bay leads all other regions of the country in AI research and investment activity, accounting for about one-quarter of AI conference papers, patents, and companies in the US. Bay Area metro areas see levels of AI activity four times higher than other top cities for AI development.

“When you have a high percentage of all AI activity in Bay Area metros, you may be overconcentrating, losing diversity, and getting groupthink in the algorithmic economy. It locks in a winner-take-most dimension to this sector, and that’s where we hope that federal policy will begin to invest in new and different AI clusters in new and different places to provide a balance or counter,” Mark Muro, policy director at the Brookings Institution and the study’s coauthor, told WIRED.

Also relevant/see:

 

“Algorithms are opinions embedded in code.”

 

Top 300 Tools for Learning 2021 [Hart]

Top 300 Tools for Learning 2021 — from toptools4learning.com by Jane Hart

Excerpt:

2021 was the YEAR OF DISRUPTION! There were a substantial number of new tools nominated this year so the main list has now been extended to 300 tools to accommodate them, and each of the 3 sub-lists has been increased to 150 tools. Although the top of this year’s list is relatively stable, there is quite bit of movement of tools on the rest of the list, and the effect of the new tools has been to push other established tools down – if not off the list altogether. Further analysis of the list appears in the right-hand column of the table below.

This table shows the overall rankings as well as the rankings on the 3 sub-lists: Top 150 Tools for Personal Learning (PL150), the Top 150 Tools for Workplace Learning (WL150) and the Top 150 Tools for Education (ED150). NEW tools are shaded YELLOW, tools coming BACK on the list are shaded GREEN. The most popular context in which each tool is used is also highlighted in BLUE.  Click on a tool name to find out more about it.

 


Top 300 Tools for Learning 2021 -- from Jane Hart


 

 

Earning a Living and College Credit at the Same Time — from insidehighered.com by Susan H. Greenberg
IBM software engineering apprentices can now translate their training into three semesters of college credit at participating institutions.

Excerpt:

IBM is the latest company to win recognition from the American Council on Education’s College Credit Recommendation Service as part of its recently launched Apprenticeship Pathways project, which allows apprentices at selected companies to earn digital credentials that they can apply to six participating institutions:

  • Bismark State College
  • Excelsior College
  • Ivy Tech Community College
  • Rowan University
  • Tidewater Community College
  • California State University, San Bernardino
 

This 12-year-old coder is set to earn over $400,000 after about 2 months selling NFTs — from cnbc.com by Taylor Locke

Excerpt:

But lately, non-fungible tokens, or NFTs, and the smart contracts, or collections of code, that power them, have caught Ahmed’s attention.

“I first learned about NFTs earlier this year,” Ahmed, who is based in London, tells CNBC Make It. “I got fascinated with NFTs because you can easily transfer the ownership of an NFT by the blockchain.”

This 12-year-old coder is set to earn over $400,000 after about 2 months selling NFTs

From DSC:
Law professors who teach property and contracts might be interested in this as well.  🙂 

And speaking of emerging technologies and the law, also see:

 

Top 10 Free Coding Resources for Students — from gocoderz.com

Excerpt:

With computer science and technology being such a crucial part of student’s future success, it’s important that every student receives equitable access to programs and resources that can help them build their coding and programming knowledge early on. Exposure to coding resources increases student interest in computer science and technology careers and provides them with foundational knowledge that they can improve and refine as their education progresses to be successful in these future professions.

 

 

 

Intel expands AI education program to 18 total community colleges — from highereddive.com by Natalie Schwartz

Excerpt:

The technology giant is supplying curriculum and faculty development for participating schools, and is partnering with Dell to provide technical and infrastructure expertise for the program, which can lead to a certificate or associate degree.

The future of AI: Deeper insights, personalization and problem-solving stand to transform how we use AI across devices and industries — from protocol.com by Alex Katouzian

Excerpt:

What comes to mind when you think of AI? In the past, it might have been the Turing test, a sci-fi character or IBM’s Deep Blue-defeating chess champion Garry Kasparov. Today, instead of copying human intelligence, we’re seeing immense progress made in using AI to unobtrusively simplify and enrich our own intelligence and experiences. Natural language processing, modern encrypted security solutions, advanced perception and imaging capabilities, next-generation data management and logistics, and automotive assistance are some of the many ways AI is quietly yet unmistakably driving some of the latest advancements inside our phones, PCs, cars and other crucial 21st century devices. And the combination of 5G and AI is enabling a world with distributed intelligence where AI processing is happening on devices and in the cloud.

Latest Trends in Artificial Intelligence –from newark.com

Excerpt:

Over the past decade, Artificial Intelligence (AI) has meshed into various industries. The era witnessed a dramatic increase in tools, applications, and platforms based on AI and Machine Learning (ML). These technologies have impacted healthcare, manufacturing, law, finance, retail, real estate, accountancy, digital marketing, and several other areas.

Companies are investing in AI research to find out how they can bring AI closer to humans. By 2025 AI software revenues alone will reach above $100 billion globally (Figure 1). This means that we will continue seeing the advancement of AI and Machine Learning (ML)-related technology in foreseeable future. AI changes notably fast, so you’ll need to go out of your way to keep up with the latest trends if you want to stay as informed as possible. Let’s take a look at everything you need to know about the latest AI trends.

 

 

Amazon Web Services, Arizona State to offer for-credit cloud education to 10K high schoolers — from highereddive.com by Natalie Schwartz

Excerpt:

Amazon Web Services is working with the nonprofit National Education Equity Lab to offer cloud computing classes to high school students in low-income districts, the company announced Wednesday.

 

 

From Skill to Instinct: How Higher Education can Bridge the Gap Between Classroom and Career — from edtechreview.in by Stephen Soulunii

Excerpts:

Higher education has conventionally focused on providing quality education for its students. However, modern students are increasingly attending higher education, not for scholarly pursuits, but to increase their value in an intensely competitive job market.

From DSC:
Funny how that happens when the price of getting a degree has skyrocketed through the years — and then one sees one’s family members struggling with getting out from crushing loads of debt (a process that often can take decades to do).

There is a lot that could be said here, but looking at this article makes me see how misaligned things are these days. The learning objectives that would be put forth from the corporate world don’t match up with the learning objectives as put forth by professors.

No wonder there’s a major disconnect. 

One last quote drives the point home — which swims against the current that many faculty members swim in:

65% of HR professionals believe teamwork and collaboration are the most foundational people skills – and 40% believe these skills are the most lacking in new hires.

 


Also relevant here, this is an excerpt of a piece sent to me by Christina Ioannou:

Skills Union offers accredited cohort-based, active learning courses in partnership with leading universities and employers. Their career-focused content ranges from software engineering and UX/UI design to growth marketing and digital entrepreneurship.

The company announced a US$1.5 million seed investment round, supporting its mission to bridge the global tech skills gap, through university accredited courses that meet the needs of the rapidly growing tech sector. The investment round was led by Online Education Services (OES), part of the Seek group of companies, with notable investors including KDV, Hustle Fund, Koh Boon Hwee, Siu Rui Quek, Ishreth Hassen, Sumardy Ma, Simin Zhou and Anvesh Ramineni.

Skills Union dot com

 

Need to Fit Billions of Transistors on a Chip? Let AI Do It — from wired.com by Will Knight

Excerpt:

ARTIFICIAL INTELLIGENCE IS now helping to design computer chips—including the very ones needed to run the most powerful AI code.

Sketching out a computer chip is both complex and intricate, requiring designers to arrange billions of components on a surface smaller than a fingernail. Decisions at each step can affect a chip’s eventual performance and reliability, so the best chip designers rely on years of experience and hard-won know-how to lay out circuits that squeeze the best performance and power efficiency from nanoscopic devices. Previous efforts to automate chip design over several decades have come to little.

But recent advances in AI have made it possible for algorithms to learn some of the dark arts involved in chip design. This should help companies draw up more powerful and efficient blueprints in much less time. Importantly, the approach may also help engineers co-design AI software, experimenting with different tweaks to the code along with different circuit layouts to find the optimal configuration of both.

 
© 2025 | Daniel Christian