Knowing How to Study Can Mean the Difference Between Success and Failure for First-Generation Students. Here’s How Instructors Can Help. — from chronicle.com by Beth McMurtrie

Excerpts (emphasis DSC):

Some of the mistakes first-gen students make are common to undergraduates: They focus on re-reading and memorizing to absorb what they’re learning, rather than summarizing material in their own words, or quizzing themselves, which are more effective techniques. But many also carry the burden of imposter syndrome – feeling like they don’t belong in college – or simply don’t know how college works. That, says Horowitz, discourages them from seeking out their professors during office hours or heading to the tutoring center for help. As a result they may spin their wheels even more furiously as they fall behind.

Horowitz, who now works at Bard High School Early College Newark as a faculty member in chemistry, reached out to me after I wrote about the importance of helping undergraduates develop the metacognitive skills necessary to become effective learners. It turns out, she’s written a book about some of those strategies, tailored to the needs of first-generation students.

Horowitz designed the book to appeal to a mass audience of STEM faculty. “The most effective person to tell students how to study for a particular course is the instructor,” she says. “They can easily put little pointers in their classroom about how students should be studying. I believe that could be revolutionary for first-generation college students.”

Horowitz suggests putting study tips into the syllabus and then reviewing them in class. 

Explain how to use problem sets effectively.

In reading-oriented classes, she recommends that, after reading each chapter, students write a single paragraph that synthesizes and summarizes the material. And on tests she often lists the amount of time students should spend on each problem.

Reach out, she says. It will pay off for both of you.

“For most of them it’s a big sense of relief that they’re having a conversation with you,” she says. “Most have been suffering in silence for a long time.”

 

New Study: Open Offices Kill Teamwork — from inc.com by Suzanne Lucas
People don’t like to have serious conversations in public, it turns out.

Excerpt:

Employees hate open office plans, but at least they help employees collaborate and work together? It saves companies money and it increases teamwork, right? Well, wrong.

Ethan Bernstein and Stephen Turban, at Harvard Business School and Harvard University, took a look at people who switched from individual cubicles to an open office plan. What they found wasn’t more collaboration after the switch but less. Participants in the study spent

  • 73 percent less time in face-to-face interactions
  • 67 percent more time on email
  • 75 percent more time on instant messenger

Not exactly what you want to see when you move your employees into an open office plan. Instead of looking up across the table and saying, “Hey, Jane, what do you think about this?” they are sending text messages.

 

FTC reportedly hits Facebook with record $5 billion settlement — from wired.com by Issie Lapowsky and Caitlin Kelly

Excerpt:

AFTER MONTHS OF negotiations, the Federal Trade Commission fined Facebook a record-setting $5 billion on Friday for privacy violations, according to multiple reports. The penalty comes after an investigation that lasted over a year, and marks the largest in the agency’s history by an order of magnitude. If approved by the Justice Department’s civil division, it will also be the first substantive punishment for Facebook in the US, where the tech industry has gone largely unregulated. But Washington has taken a harsher stance toward Silicon Valley lately, and Friday’s announcement marks its most aggressive action yet to curb its privacy overreaches.

 

Also see:

 

 

Bigscreen TV launches with 50+ channels of video content — from vrscout.com by Allison Hollender

Excerpts:

Bigscreen, an immersive social platform that allows you to access your computer in VR, aims to continue revolutionizing the TV viewing experience with Bigscreen TV — a VR streaming experience that opens up access to over 50 major television providers.


“With Bigscreen, users can watch a Netflix show or a Twitch stream in an IMAX-like virtual movie theater,” Bigscreen reports. This means users from around the world can gather together to watch big championship games or their favorite shows with their friends as though they are together on the same couch.

 

How might immersive techs like those found in BigScreen TV impact teaching and learning related experiences?

 

From DSC:
Interesting…how might technologies and vendors like Bigscreen TV impact learning-related experiences? Hmmm….time will tell.

 

Top 9 Ways Artificial Intelligence Prevents Fraud — from forbes.com by Louis Columbus

Excerpt:

Bottom Line:
Rule-based engines and simple predictive models could identify the majority of fraud attempts in the past, yet they aren’t keeping up with the scale and severity of fraud attempts today. Fraud attempts and breaches are more nuanced, with organized crime and state-sponsored groups using machine learning algorithms to find new ways to defraud digital businesses. Fraud-based attacks have a completely different pattern, sequence, and structure, which make them undetectable using rules-based logic and predictive models alone.

AI Is A Perfect Match For the Challenges Of Battling Fraud

 

Amazon pledges $700 million to teach its workers to code — from wired.com by Louise Matsakis

Excerpt:

Amazon announced Thursday that it will spend up to $700 million over the next six years retraining 100,000 of its US employees, mostly in technical skills like software engineering and IT support. Amazon is already one of the largest employers in the country, with almost 300,000 workers (and many more contractors) and it’s particularly hungry for more new talent. The company currently has more than 20,000 vacant US roles, over half of which are at its headquarters in Seattle. Meanwhile, the US economy is booming, and there are now more open jobs than there are unemployed people who can fill them, according to the Bureau of Labor Statistics.

 

Against that backdrop, Amazon’s jobs skills efforts provide some reassurance that—in theory at least—you could be retrained into a new role when the robots arrive.

 

From the announcement:

Based on a review of its workforce and analysis of U.S. hiring, Amazon’s fastest growing highly skilled jobs over the last five years include data mapping specialist, data scientist, solutions architect and business analyst, as well as logistics coordinator, process improvement manager and transportation specialist within our customer fulfillment network.

 

Also see:

  • Amazon to Invest $700M to Retrain 100,000 Workers for New Jobs — from pcmag.com by Michael Kan Icon
    ‘There is a greater need for technical skills in the workplace than ever before. Amazon is no exception,’ the company said. The goal is to ‘upskill’ one third of Amazon’s total work force by 2025 through free retraining programs.
 

Image from https://es.pngtree.com/freepng/color-cartoon-musical-note-stave_2521336.html

Image source

 

Psalm 150 — from biblegateway.com

1 Praise the Lord.

Praise God in his sanctuary;
    praise him in his mighty heavens.
Praise him for his acts of power;
    praise him for his surpassing greatness.
Praise him with the sounding of the trumpet,
    praise him with the harp and lyre,
praise him with timbrel and dancing,
    praise him with the strings and pipe,
praise him with the clash of cymbals,
    praise him with resounding cymbals.

Let everything that has breath praise the Lord.

Praise the Lord.

 
 

Penn State World Campus Taps Google Cloud to Build Virtual Advising Assistant — from campustechnology.com by Rhea Kelly

Excerpt:

At the start of the spring 2020 semester this January, Penn State World Campus will have a new artificial intelligence tool for answering the most common requests from its undergraduate students. A virtual assistant will help academic advisers at the online institution screen student e-mails for certain keywords and phrases, and then automatically pull relevant information for the advisers to send to students. For instance, the AI will be trained to assist advisers when students inquire how to change their major, change their Penn State campus, re-enroll in the university or defer their semester enrollment date, according to a news announcement.

 

How WiFi 6 is about to revolutionize the Internet of Things — from interestingengineering.com by John Loeffler
While 5G tends to get all the press nowadays, WiFi 6 is going to have as big an impact behind the scenes by powering a next phase of the Internet of Things.

Excerpt:

So what’s such a big deal about these new standards? The difference between WiFi 5 and WiFi 6 is much like the jump from mobile’s 4G LTE networks to the new 5G networks rolling out this year and next.

The primary improvements will be in speed, connection strength, a wider spectrum of channels to operate in, and simultaneous streams. This means that there will be more room for each connection at an access point, allowing more devices to connect with less loss of bandwidth than current standards; these connections will be 37% faster than WiFi 5; and the ability of a WiFi 6 network to handle different data streams at the same time.

All of this adds up to a significant jump in speed over WiFi 5, allowing for up to 10 to 12 gigabytes per second of data transfer per connection, which opens up a whole new world of connected devices both at home, at work, and everywhere else in our lives.

 

 

I opted out of facial recognition at the airport — it wasn’t easy — from wired.com by Allie Funk

Excerpt (emphasis DSC):

As a privacy-conscious person, I was uncomfortable boarding this way. I also knew I could opt out. Presumably, most of my fellow fliers did not: I didn’t hear a single announcement alerting passengers how to avoid the face scanners.

As I watched traveler after traveler stand in front of a facial scanner before boarding our flight, I had an eerie vision of a new privacy-invasive status quo. With our faces becoming yet another form of data to be collected, stored, and used, it seems we’re sleepwalking toward a hyper-surveilled environment, mollified by assurances that the process is undertaken in the name of security and convenience. I began to wonder: Will we only wake up once we no longer have the choice to opt out?

Until we have evidence that facial recognition is accurate and reliable—as opposed to simply convenient—travelers should avoid the technology where they can.

 

To figure out how to do so, I had to leave the boarding line, speak with a Delta representative at their information desk, get back in line, then request a passport scan when it was my turn to board. 

 

From DSC:
Readers of this blog will know that I am generally a pro-technology person. That said, there are times when I don’t trust humankind to use the power of some of these emerging technologies appropriately and ethically. Along these lines, I don’t like where facial recognition could be heading…and citizens don’t seem to have effective ways to quickly weigh in on this emerging technology. I find this to be a very troubling situation. How about you?

 

Daniel Christian -- A technology is meant to be a tool, it is not meant to rule.

 

 

Reflections on “Clay Shirky on Mega-Universities and Scale” [Christian]

Clay Shirky on Mega-Universities and Scale — from philonedtech.com by Clay Shirky
[This was a guest post by Clay Shirky that grew out of a conversation that Clay and Phil had about IPEDS enrollment data. Most of the graphs are provided by Phil.]

Excerpts:

Were half a dozen institutions to dominate the online learning landscape with no end to their expansion, or shift what Americans seek in a college degree, that would indeed be one of the greatest transformations in the history of American higher education. The available data, however, casts doubt on that idea.

Though much of the conversation around mega-universities is speculative, we already know what a mega-university actually looks like, one much larger than any university today. It looks like the University of Phoenix, or rather it looked like Phoenix at the beginning of this decade, when it had 470,000 students, the majority of whom took some or all of their classes online. Phoenix back then was six times the size of the next-largest school, Kaplan, with 78,000 students, and nearly five times the size of any university operating today.

From that high-water mark, Phoenix has lost an average of 40,000 students every year of this decade.

 

From DSC:
First of all, I greatly appreciate both Clay’s and Phil’s thought leadership and their respective contributions to education and learning through the years. I value their perspectives and their work.  Clay and Phil offer up a great article here — one worth your time to read.  

The article made me reflect on what I’ve been building upon and tracking for the last decade — a next generation ***PLATFORM*** that I believe will represent a powerful piece of a global learning ecosystem. I call this vision, “Learning from the Living [Class] Room.” Though the artificial intelligence-backed platform that I’m envisioning doesn’t yet fully exist — this new era and type of learning-based platform ARE coming. The emerging signs, technologies, trends — and “fingerprints”of it, if you will — are beginning to develop all over the place.

Such a platform will:

  • Be aimed at the lifelong learner.
  • Offer up major opportunities to stay relevant and up-to-date with one’s skills.
  • Offer access to the program offerings from many organizations — including the mega-universities, but also, from many other organizations that are not nearly as large as the mega-universities.
  • Be reliant upon human teachers, professors, trainers, subject matter experts, but will be backed up by powerful AI-based technologies/tools. For example, AI-based tools will pulse-check the open job descriptions and the needs of business and present the top ___ areas to go into (how long those areas/jobs last is anyone’s guess, given the exponential pace of technological change).

Below are some quotes that I want to comment on:

Not nothing, but not the kind of environment that will produce an educational Amazon either, especially since the top 30 actually shrank by 0.2% a year.

 

Instead of an “Amazon vs. the rest” dynamic, online education is turning into something much more widely adopted, where the biggest schools are simply the upper end of a continuum, not so different from their competitors, and not worth treating as members of a separate category.

 

Since the founding of William and Mary, the country’s second college, higher education in the U.S. hasn’t been a winner-take-all market, and it isn’t one today. We are not entering a world where the largest university operates at outsized scale, we’re leaving that world; 

 

From DSC:
I don’t see us leaving that world at all…but that’s not my main reflection here. Instead, I’m not focusing on how large the mega-universities will become. When I speak of a forthcoming Walmart of Education or Amazon of Education, what I have in mind is a platform…not one particular organization.

Consider that the vast majority of Amazon’s revenues come from products that other organizations produce. They are a platform, if you will. And in the world of platforms (i.e., software), it IS a winner take all market. 

Bill Gates reflects on this as well in this recent article from The Verge:

“In the software world, particularly for platforms, these are winner-take-all markets.

So it’s all about a forthcoming platform — or platforms. (It could be more than one platform. Consider Apple. Consider Microsoft. Consider Google. Consider Facebook.)

But then the question becomes…would a large amount of universities (and other types of organizations) be willing to offer up their courses on a platform? Well, consider what’s ALREADY happening with FutureLearn:

Finally…one more excerpt from Clay’s article:

Eventually the new ideas lose their power to shock, and end up being widely copied. Institutional transformation starts as heresy and ends as a section in the faculty handbook. 

From DSC:
This is a great point. Reminds me of this tweet from Fred Steube (and I added a piece about Western Telegraph):

 

Some things to reflect upon…for sure.

 
 
 

4 models to reinvent higher education for the 21st century — from edtechmagazine.com by Eli Zimmerman
To appeal to Gen Z students and employers, universities will adopt new ways to deliver academic materials, focusing on customizable courses and experiences outside of the classroom.

Excerpts:

  1. Platform facilitator:
    From online content to food orders, Generation Z has become accustomed to customizable consumption, and education may follow. Some universities may begin to offer a Netflix-style distribution of course materials, while others will be “content providers for those platforms, licensing courses, experiences, certificates and other services,” according to the report. Many university administrators are already considering the idea of building AI-enabled programs to distribute academic videos, according to a 2018 survey by Sonic Foundry’s Mediasite and University Business.
  2. Experiential curator
  3. Learning certifier
  4. Workforce integrator

 

Also see:

 

Looking for something?

Use the form below to search the site:

Still not finding what you're looking for? Drop a comment on a post or contact us so we can take care of it!

© 2019 | Daniel Christian