online learning

Frey: “…by 2030 the largest company on the internet is going to be an education-based company that we haven’t heard of yet.”

On 11/14/2018, in 21st century, algorithms, Artificial Intelligence / Machine Learning / Deep Learning, bots, colleges, community colleges, cost of getting a degree, Daniel S. Christian, digital learning, education, education reform, education technology, emerging technologies, face-to-face, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, learning, Learning Agents, learning ecosystem, learning from the living [class] room, MOOCs -- Massive Open Online Courses, more choice more control, online learning, online tutoring, personalized/customized learning, platforms, universities, by Daniel Christian

From DSC:
I agree with futurist Thomas Frey:

“I’ve been predicting that by 2030 the largest company on the internet is going to be an education-based company that we haven’t heard of yet.”

(source)

Along these lines, see what Arizona State University is up to:

We think of this as a transformation away from a mass-production model to a mass-personalization model. For us, that’s the big win in this whole process. When we move away from the large lectures in that mass-production model that we’ve used for the last 170 years and get into something that reflects each of the individual learners’ needs and can personalize their learning path through the instructional resources, we will have successfully moved the education industry to the new frontier in the learning process. We think that mass personalization has already permeated every aspect of our lives, from navigation to entertainment; and education is really the next big frontier.

(source)

From DSC:
Each year the vision I outlined here gets closer and closer and closer and closer. With the advancements in Artificial Intelligence (AI), change is on the horizon…big time. Mass personalization. More choice. More control.

LinkedIn Learning Opens Its Platform (Slightly) [Young]

On 11/09/2018, in 21st century, 24x7x365 access, adult learning, algorithms, analytics, Artificial Intelligence / Machine Learning / Deep Learning, bots, business side of he, career development, change, changing business models, cloud-based computing / apps / other cloud-related, collaboration, colleges, communities of practice, community colleges, competency-based learning/education, Content aggregration, content development, content repositories, corporate / business world, corporate universities / corporate training, cost of getting a degree, credentialing, dangers of the status quo, Daniel S. Christian, data mining, digital learning, disruption, education technology, elearning, exchanges, formal learning, future, future of higher education, game-changing environment, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, internet, learning, Learning Agents, learning ecosystem, learning from the living [class] room, Lifelong learning, marketplaces, Microlearning, Microsoft, Mobile learning, more choice more control, multimedia, network based learning, online learning, online tutoring, pace of change, personalized/customized learning, platforms, PLNs, professional development, social learning / networks, social media, society, staying relevant, streams of content, student-related, surviving, Technologies for your home, training / L&D, trends, United States, universities, Using teams, vendors, vision, Walmart of Education --> New Amazon.com of Higher Education, web-based collaboration, workplace, by Daniel Christian

LinkedIn Learning Opens Its Platform (Slightly) — from edsurge by Jeff Young

Excerpt (emphasis DSC):

A few years ago, in a move toward professional learning, LinkedIn bought Lynda.com for $1.5 billion, adding the well-known library of video-based courses to its professional social network. Today LinkedIn officials announced that they plan to open up their platform to let in educational videos from other providers as well—but with a catch or two.

The plan, announced Friday, is to let companies or colleges who already subscribe to LinkedIn Learning add content from a select group of other providers. The company or college will still have to subscribe to those other services separately, so it’s essentially an integration—but it does mark a change in approach.

For LinkedIn, the goal is to become the front door for employees as they look for micro-courses for professional development.

LinkedIn also announced another service for its LinkedIn Learning platform called Q&A, which will give subscribers the ability to pose a question they have about the video lessons they’re taking. The question will first be sent to bots, but if that doesn’t yield an answer the query will be sent on to other learners, and in some cases the instructor who created the videos.

Also see:

LinkedIn becomes a serious open learning experience platform — from clomedia.com by Josh Bersin
LinkedIn is becoming a dominant learning solution with some pretty interesting competitive advantages, according to one learning analyst.

Excerpt:

LinkedIn has become quite a juggernaut in the corporate learning market. Last time I checked the company had more than 17 million users, 14,000 corporate customers, more than 3,000 courses and was growing at high double-digit rates. And all this in only about two years.

And the company just threw down the gauntlet; it’s now announcing it has completely opened up its learning platform to external content partners. This is the company’s formal announcement that LinkedIn Learning is not just an amazing array of content, it is a corporate learning platform. The company wants to become a single place for all organizational learning content.

LinkedIn now offers skills-based learning recommendations to any user through its machine learning algorithms.

Is there demand for staying relevant? For learning new skills? For reinventing oneself?

Well…let’s see.

From DSC:
So…look out higher ed and traditional forms of accreditation — your window of opportunity may be starting to close. Alternatives to traditional higher ed continue to appear on the scene and gain momentum. LinkedIn — and/or similar organizations in the future — along with blockchain and big data backed efforts may gain traction in the future and start taking away some major market share. If employers get solid performance from their employees who have gone this route…higher ed better look out.

Microsoft/LinkedIn/Lynda.com are nicely positioned to be a major player who can offer society a next generation learning platform at an incredible price — offering up-to-date, microlearning along with new forms of credentialing. It’s what I’ve been calling the Amazon.com of higher ed (previously the Walmart of Education) for ~10 years. It will take place in a strategy/platform similar to this one.

Also, this is what a guerilla on the back looks like:

Also see:

Meet the 83-Year-Old App Developer Who Says Edtech Should Better Support Seniors — from edsurge.com by Sydney Johnson
Excerpt (emphasis DSC):
Now at age 83, Wakamiya beams with excitement when she recounts her journey, which has been featured in news outlets and even at Apple’s developer conference last year. But through learning how to code, she believes that experience offers an even more important lesson to today’s education and technology companies: don’t forget about senior citizens.Today’s education technology products overwhelmingly target young people. And while there’s a growing industry around serving adult learners in higher education, companies largely neglect to consider the needs of the elderly.

Social media as a learning tool: Five suggested uses for the classroom [frontierinternet.com]

On 11/08/2018, in 21st century, active learning, adjunct faculty, blogs / blogging, Bring your own device (BYOD), cloud-based computing / apps / other cloud-related, collaboration, colleges, communications, community colleges, creativity, digital learning, education, education technology, engagement / engaging students, faculty, higher education, ideas, instructional design, internet, iPad, iPhone, IT in HE, journalism, K-12 related, learning, learning ecosystem, learning from the living [class] room, Lifelong learning, online learning, participation, pedagogy, personalized/customized learning, platforms, PLNs, practice, productivity / tips and tricks, social learning / networks, social media, society, staying relevant, strategy, streams of content, student teaching/teacher education, student-related, teachers, teaching & learning, Technologies for your home, tools, twitter, universities, vendors, web-based collaboration, writing, youth, by Daniel Christian

Social media as a learning tool: Five suggested sses for the classroom — from frontierinternet.com; with thanks to Laura Tscholl, Communications Specialist | The Gateway for this resource

2 items re: AI’s potential impact/place within education

On 11/03/2018, in 21st century, 24x7x365 access, adult learning, algorithms, analytics, Artificial Intelligence / Machine Learning / Deep Learning, bots, business side of he, career development, change, changing business models, cloud-based computing / apps / other cloud-related, cognitive computing, colleges, communities of practice, community colleges, computer science, Content aggregration, content development, content repositories, corporate / business world, corporate universities / corporate training, cost of getting a degree, Daniel S. Christian, data mining, digital learning, distance education, education, education technology, elearning, future, game-changing environment, global / globalization, higher education, human-computer interaction (HCI), innovation, intelligent systems, intelligent tutoring, internet, IT in HE, Languages and translation, learning, Learning Agents, learning ecosystem, learning from the living [class] room, Microlearning, Mobile learning, more choice more control, Natural Language Processing (NLP), online learning, online media, organizational change, pace of change, personalized/customized learning, platforms, professional development, reinvent, universities, user experience (UX), Using teams, vendors, Walmart of Education --> New Amazon.com of Higher Education, by Daniel Christian

Robots won’t replace instructors, 2 Penn State educators argue. Instead, they’ll help them be ‘more human.’ — from edsurge.com by Tina Nazerian

Excerpt:

Specifically, it will help them prepare for and teach their courses through several phases—ideation, design, assessment, facilitation, reflection and research. The two described a few prototypes they’ve built to show what that might look like.

Also see:

The future of education: Online, free, and with AI teachers? — from fool.com by Simon Erickson
Duolingo is using artificial intelligence to teach 300 million people a foreign language for free. Will this be the future of education?

Excerpts:

While it might not get a lot of investor attention, education is actually one of America’s largest markets.

The U.S. has 20 million undergraduates enrolled in colleges and universities right now and another 3 million enrolled in graduate programs. Those undergrads paid an average of $17,237 for tuition, room, and board at public institutions in the 2016-17 school year and $44,551 for private institutions. Graduate education varies widely by area of focus, but the average amount paid for tuition alone was $24,812 last year.

Add all of those up, and America’s students are paying more than half a trillion dollars each year for their education! And that doesn’t even include the interest amassed for student loans, the college-branded merchandise, or all the money spent on beer and coffee.

Keeping the costs down
Several companies are trying to find ways to make college more affordable and accessible.

But after we launched, we have so many users that nowadays if the system wants to figure out whether it should teach plurals before adjectives or adjectives before plurals, it just runs a test with about 50,000 people. So for the next 50,000 people that sign up, which takes about six hours for 50,000 new users to come to Duolingo, to half of them it teaches plurals before adjectives. To the other half it teaches adjectives before plurals. And then it measures which ones learn better. And so once and for all it can figure out, ah it turns out for this particular language to teach plurals before adjectives for example.

So every week the system is improving. It’s making itself better at teaching by learning from our learners. So it’s doing that just based on huge amounts of data. And this is why it’s become so successful I think at teaching and why we have so many users.

From DSC:
I see AI helping learners, instructors, teachers, and trainers. I see AI being a tool to help do some of the heavy lifting, but people still like to learn with other people…with actual human beings. That said, a next generation learning platform could be far more responsive than what today’s traditional institutions of higher education are delivering.

New Virtual 3D Microscope Lab Program Offered for Online Students by Oregon State University — from virtuallyinspired.org
OSU solves degree completion issue for online biology students

Excerpt:

“We had to create an alternative that gives students the foundational experience of being in a lab where they can maneuver a microscope’s settings and adjust the images just as they would in a face-to-face environment,” said Shannon Riggs, the Ecampus director of course development and training.

Multimedia developers mounted a camera on top of an actual microscope and took pictures of what was on the slides. Using 3D modeling software, the photos were interweaved to create 3D animation. Using game development software enabled students to adjust lighting, zoom and manipulate the images, just like in a traditional laboratory. The images were programmed to create a virtual simulation.

The final product is “an interactive web application that utilizes a custom 3D microscope and incorporates animation and real-life slide photos,” according to Victor Yee, an Ecampus assistant director of course development and training.

Also see:

YouTube to Invest $20 Million in Educational Content — from campustechnology.com by Dian Schaffhauser
Excerpt:
YouTube, a Google company, has announced plans to invest $20 million in YouTube Learning, an initiative hinted at during the summer. The goal: “to support education-focused creators and expert organizations that create and curate high-quality learning content on the video site.” Funding will be spent on supporting video creators who want to produce education series and wooing other education video providers to the site.

“Affordable and at-scale” [Schroeder] + “Trends for the future of education with Jeff Selingo” [Steelcase]

On 10/31/2018, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence / Machine Learning / Deep Learning, assistive technologies, business side of he, career development, change, colleges, communities of practice, community colleges, computer science, cost of getting a degree, dangers of the status quo, digital learning, disruption, distance education, education, education reform, education technology, emerging technologies, face-to-face, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, learning, Learning Agents, learning ecosystem, learning from the living [class] room, learning spaces, Lifelong learning, MOOCs -- Massive Open Online Courses, new business models, online learning, United States, universities, vendors, vision, Walmart of Education --> New Amazon.com of Higher Education, web-based collaboration, by Daniel Christian

Affordable and at-scale — from insidehighered.com by Ray Schroeder
Affordable degrees at scale have arrived. The momentum behind this movement is undeniable, and its impact will be significant, Ray Schroeder writes.

Excerpt (emphasis DSC):

How many times have we been told that major change in our field is on the near horizon? Too many times, indeed.

The promises of technologies and practices have fallen short more often than not. Just seven years ago, I was part of the early MOOC movement and felt the pulsating potential of teaching thousands of students around the world in a single class. The “year of the MOOC” was declared in 2012. Three years later, skeptics declared that the MOOC had died an ignominious death with high “failure” rates and relatively little recognition by employers.

However, the skeptics were too impatient, misunderstood the nature of MOOCs and lacked the vision of those at Georgia Tech, the University of Illinois, Arizona State University, Coursera, edX and scores of other institutions that have persevered in building upon MOOCs’ premises to develop high-quality, affordable courses, certificates and now, degrees at scale.

No, these degrees are not free, but they are less than half the cost of on-campus versions. No, they are not massive in the hundreds of thousands, but they are certainly at large scale with many thousands enrolled. In computer science, the success is felt across the country.

Georgia Tech alone has enrolled 10,000 students over all in its online master’s program and is adding thousands of new students each semester in a top 10-ranked degree program costing less than $7,000. Georgia Tech broke the new ground through building collaborations among several partners. Yet, that was just the beginning, and many leading universities have followed.

Also see:

Trends for the future of education with Jeff Selingo — from steelcase.com
How the future of work and new technology will make place more important than ever.

Excerpt:

Selingo sees artificial intelligence and big data as game changers for higher education. He says AI can free up professors and advisors to spend more time with students by answering some more frequently-asked questions and handling some of the grading. He also says data can help us track and predict student performance to help them create better outcomes. “When they come in as a first-year student, we can say ‘People who came in like you that had similar high school grades and took similar classes ended up here. So, if you want to get out of here in four years and have a successful career, here are the different pathways you should follow.’”

Academics Propose a ‘Blockchain University,’ Where Faculty (& Algorithms) Rule [Young]

On 10/26/2018, in 21st century, algorithms, analytics, Artificial Intelligence / Machine Learning / Deep Learning, Blockchain, business side of he, change, changing business models, Christian education, colleges, community colleges, education technology, emerging technologies, face-to-face, faculty, future, future of higher education, game-changing environment, innovation, learning from the living [class] room, Lifelong learning, Microlearning, online learning, personalized/customized learning, platforms, reinvent, staying relevant, streams of content, surviving, tools, ubiquitous learning, UK, universities, user experience (UX), vision, Walmart of Education --> New Amazon.com of Higher Education, by Daniel Christian

Academics Propose a ‘Blockchain University,’ Where Faculty (and Algorithms) Rule — from edsurge.com by Jeff Young

Excerpt:

A group of academics affiliated with Oxford University have proposed a new model of higher education that replaces traditional administrators with “smart contracts” on the blockchain, the same technology that drives Bitcoin and other cryptocurrencies.

“Our aim is to create a university in which the bulk of administrative tasks are either eliminated or progressively automated,” said the effort’s founders in a white paper released earlier this year. Those proposing the idea added the university would be “a decentralised, non-profit, democratic community in which the use of blockchain technology will provide the contractual stability needed to pursue a full course of study.”

Experiments with blockchain in higher education are underway at multiple campuses around the country, and many of researchers are looking into how to use the technology to verify and deliver credentials. Massachusetts Institute for Technology, for example, began issuing diplomas via blockchain last year.

The plan by Oxford researchers goes beyond digital diplomas—and beyond many typical proposals to disrupt education in general. It argues for a completely new framework for how college is organized, how professors are paid, and how students connect with learning. In other words, it’s a long shot.

But even if the proposed platform never emerges, it is likely to spur debates about whether blockchain technology could one day allow professors to reclaim greater control of how higher education operates through digital contracts.

The platform would essentially allow professors to organize their own colleges, and teach and take payments from students directly. “

From DSC:
Ever notice how effective Ted Talks begin? They seek to instantly grab your attention with a zinger question, a somewhat shocking statement, an interesting story, a joke, an important problem or an issue, a personal anecdote or experience, a powerful image/photo/graphic, a brief demonstration, and the like.

Grabbing someone’s attention is a key first step in getting a piece of information into someone’s short-term memory — what I call getting through “the gate.” If we can’t get through the gate into someone’s short-term memory, we have zero (0) chance of having them actually process that information and to think about and engage with that piece of content. If we can’t make it into someone’s short-term memory, we can’t get that piece of information into their long-term memory for later retrieval/recall. There won’t be any return on investment (ROI) in that case.

So why not try starting up one of your classes this week with a zinger question, a powerful image/photo/video, or a story from your own work experience? I’ll bet you’ll grab your students’ attentions instantly! Then you can move on into the material for a greater ROI. From there, offering frequent, low-stakes quizzes will hopefully help your students slow down their forgetting curves and help them practice recalling/retrieving that information. By the way, that’s why stories are quite powerful. We often remember them better. So if you can weave an illustrative story into your next class, your students might really benefit from it come final test time!

Also relevant/see:

Ready, set, speak: 5 strong ways to start your next presentation — from abovethelaw.com by Olga Mack, with thanks to Mr. Otto Stockmeyer for this resource
No matter which of these five ways you decide to launch your presentation, ensure that you make it count, and make it memorable.

Excerpts:

Tell a captivating story
Ask thought-provoking questions to the audience
State a shocking headline or statistic
Use a powerful quote
Use silence
When delivering a speech, a pause of about three or even as many as 10 seconds will allow your audience to sit and quiet down. Because most people always expect the speaker to start immediately, this silence will thus catch the attention of the audience. They will be instinctively more interested in what you had to say, and why you took your time to say it. This time will also help you gather your nerves and prepare to speak.

Reflections on “Inside Amazon’s artificial intelligence flywheel” [Levy]

On 10/19/2018, in 21st century, 24x7x365 access, A/V -- audio/visual, algorithms, Amazon, analytics, Artificial Intelligence / Machine Learning / Deep Learning, bots, career development, colleges, communities of practice, community colleges, competency-based learning/education, computer science, Content aggregration, content development, content repositories, corporate / business world, cost of getting a degree, dangers of the status quo, Daniel S. Christian, data mining, digital learning, disruption, distance education, e-books, e-publishing related items (EPUB and more), e-readers, education, education reform, education technology, educational games / serious games, elearning, emerging technologies, engagement / engaging students, entrepreneurship, experimentation, future, future of higher education, game-changing environment, generational differences, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, interactivity, internet, K-12 related, Law Schools, learner profiles, learning, Learning Agents, learning ecosystem, learning from the living [class] room, learning hubs, learning preferences, learning spaces, library / librarians, Lifelong learning, Microlearning, Mobile learning, MOOCs -- Massive Open Online Courses, more choice more control, multimedia, Natural Language Processing (NLP), network based learning, new business models, online learning, online media, online tutoring, personalized/customized learning, platforms, PLNs, reinvent, second screen apps, social learning / networks, society, staying relevant, streams of content, student-related, surviving, teaching online, Technologies for your home, tools, training / L&D, trends, United States, universities, usability, user experience (UX), vision, voice recognition / voice enabled interfaces, Walmart of Education --> New Amazon.com of Higher Education, workplace, by Daniel Christian

Inside Amazon’s artificial intelligence flywheel — from wired.com by Steven Levy
How deep learning came to power Alexa, Amazon Web Services, and nearly every other division of the company.

Excerpt (emphasis DSC):

Amazon loves to use the word flywheel to describe how various parts of its massive business work as a single perpetual motion machine. It now has a powerful AI flywheel, where machine-learning innovations in one part of the company fuel the efforts of other teams, who in turn can build products or offer services to affect other groups, or even the company at large. Offering its machine-learning platforms to outsiders as a paid service makes the effort itself profitable—and in certain cases scoops up yet more data to level up the technology even more.

It took a lot of six-pagers to transform Amazon from a deep-learning wannabe into a formidable power. The results of this transformation can be seen throughout the company—including in a recommendations system that now runs on a totally new machine-learning infrastructure. Amazon is smarter in suggesting what you should read next, what items you should add to your shopping list, and what movie you might want to watch tonight. And this year Thirumalai started a new job, heading Amazon search, where he intends to use deep learning in every aspect of the service.

“If you asked me seven or eight years ago how big a force Amazon was in AI, I would have said, ‘They aren’t,’” says Pedro Domingos, a top computer science professor at the University of Washington. “But they have really come on aggressively. Now they are becoming a force.”

Maybe the force.

From DSC:
When will we begin to see more mainstream recommendation engines for learning-based materials? With the demand for people to reinvent themselves, such a next generation learning platform can’t come soon enough!

Turning over control to learners to create/enhance their own web-based learner profiles; and allowing people to say who can access their learning profiles.
AI-based recommendation engines to help people identify curated, effective digital playlists for what they want to learn about.
Voice-driven interfaces.
Matching employees to employers.
Matching one’s learning preferences (not styles) with the content being presented as one piece of a personalized learning experience.
From cradle to grave. Lifelong learning.
Multimedia-based, interactive content.
Asynchronously and synchronously connecting with others learning about the same content.
Online-based tutoring/assistance; remote assistance.
Reinvent. Staying relevant. Surviving.
Competency-based learning.

We’re about to embark on a period in American history where career reinvention will be critical, perhaps more so than it’s ever been before. In the next decade, as many as 50 million American workers—a third of the total—will need to change careers, according to McKinsey Global Institute. Automation, in the form of AI (artificial intelligence) and RPA (robotic process automation), is the primary driver. McKinsey observes: “There are few precedents in which societies have successfully retrained such large numbers of people.”

Bill Triant and Ryan Craig

Also relevant/see:

Online education’s expansion continues in higher ed with a focus on tech skills — from educationdive.com by James Paterson

Dive Brief:

Online learning continues to expand in higher ed with the addition of several online master’s degrees and a new for-profit college that offers a hybrid of vocational training and liberal arts curriculum online.
Inside Higher Ed reported the nonprofit learning provider edX is offering nine master’s degrees through five U.S. universities — the Georgia Institute of Technology, the University of Texas at Austin, Indiana University, Arizona State University and the University of California, San Diego. The programs include cybersecurity, data science, analytics, computer science and marketing, and they cost from around $10,000 to $22,000. Most offer stackable certificates, helping students who change their educational trajectory.
Former Harvard University Dean of Social Science Stephen Kosslyn, meanwhile, will open Foundry College in January. The for-profit, two-year program targets adult learners who want to upskill, and it includes training in soft skills such as critical thinking and problem solving. Students will pay about $1,000 per course, though the college is waiving tuition for its first cohort.

U.S. students spend more time working paid jobs than going to class — from bloomberg.com by Riley Griffin
Facing mounting debt, U.S. college students spend double the time working paid jobs than in the library.

Excerpts:

Haunted by costly degrees and insurmountable student debt, American college students now spend more time working paid jobs than in lectures, the library or studying at home.

The vast majority of current students—85 percent—work while enrolled, according to an HSBC survey published Thursday. Students spend an average of 4.2 hours a day working paid jobs, which is more than double the time they spend in the library, nearly two hours more than they spend in class and 1.4 hours more time than they spend studying at home.

Haunted by costly degrees and insurmountable student debt, American college students now spend more time working paid jobs than in lectures, the library or studying at home.

The vast majority of current students—85 percent—work while enrolled, according to an HSBC survey published Thursday. Students spend an average of 4.2 hours a day working paid jobs, which is more than double the time they spend in the library, nearly two hours more than they spend in class and 1.4 hours more time than they spend studying at home.

“The economics of the debt crisis have become a major distraction to students’ education,” said John Hupalo, founder and chief executive officer of Invite Education, an education financial planner. “Students’ first priority should be to get value out of their education, not squeezing out hours at a job in order to make money to sustain that education.”

From DSC:
Obviously, this could be a major problem for many students — depending upon whether their work experiences are paying off in terms of other kinds of learning/experiences/skills development/obtaining jobs later on. But this need to work to get through school is also why I think online education needs to be more prevalent in higher ed. If students need to work to obtain a degree, then they need the flexibility to make their class schedules jibe with their work schedules. As with healthcare, I’d also like to see us find ways to bring the costs down.

Also see:

One HBCU Hopes Its ‘$10,000 Degree Pathway’ Will Win Over Students Considering For-Profit Alternatives — from edsurge.com by Jeff Young

Excerpt:

A public university in North Carolina has teamed up with six community colleges to offer a program that promises students they will pay no more than $10,000 out of pocket for their four-year degree.

Participating students will attend a two-year college in the state to get their Associate’s degree, then transfer to an online program at Fayetteville State University to finish their bachelor’s. The students will continue to have access to mentors and resources at the local community college to help them stay on track.

Making College Affordable Remains a High Priority in Washington — from campustechnology.com by Sara Friedman
More states are providing free college tuition, but equity concerns remain when it comes to the costs of textbooks, transportation and housing.

Learning Ecosystems

Frey: “…by 2030 the largest company on the internet is going to be an education-based company that we haven’t heard of yet.”

2 items re: AI’s potential impact/place within education

“Affordable and at-scale” [Schroeder] + “Trends for the future of education with Jeff Selingo” [Steelcase]

Academics Propose a ‘Blockchain University,’ Where Faculty (& Algorithms) Rule [Young]

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