The Ed Tech Market Map: 90+ Startups Building The Future Of Education — from cbinsights.com
2017 Ed Tech Trends: The Halfway Point — from campustechnology.com by Rhea Kelly
Four higher ed IT leaders weigh in on the current state of education technology and what’s ahead.
This article includes some perspectives shared from the following 4 IT leaders:
Also see:
Winner takes all — from by Michael Moe, Luben Pampoulov, Li Jiang, Nick Franco, & Suzee Han
We did a lot of things that seemed crazy at the time. Many of those crazy things now have over a billion users, like Google Maps, YouTube, Chrome, and Android.
— Larry Page, CEO, Alphabet
Excerpt:
An alphabet is a collection of letters that represent language. Alphabet, accordingly, is a collection of companies that represent the many bets Larry Page is making to ensure his platform is built to not only survive, but to thrive in a future defined by accelerating digital disruption. It’s an “Alpha” bet on a diversified platform of assets.
If you look closely, the world’s top technology companies are making similar bets.
Technology in general and the Internet in particular is all about a disproportionate gains to the leader in a category. Accordingly, as technology leaders like Facebook, Alphabet, and Amazon survey the competitive landscape, they have increasingly aimed to develop and acquire emerging technology capabilities across a broad range of complementary categories.
Learning from the Living [Class] Room:
A vision for a global, powerful, next generation learning platform
By Daniel Christian
NOTE: Having recently lost my Senior Instructional Designer position due to a staff reduction program, I am looking to help build such a platform as this. So if you are working on such a platform or know of someone who is, please let me know: danielchristian55@gmail.com.
I want to help people reinvent themselves quickly, efficiently, and cost-effectively — while providing more choice, more control to lifelong learners. This will become critically important as artificial intelligence, robotics, algorithms, and automation continue to impact the workplace.
Learning from the Living [Class] Room:
A global, powerful, next generation learning platform
What does the vision entail?
“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,” Frey, the senior futurist at the DaVinci Institute think tank, tells Business Insider.
Further details:
While basic courses will be accessible via mobile devices, the optimal learning experience will leverage two or more displays/devices. So while smaller smartphones, laptops, and/or desktop workstations will be used to communicate synchronously or asynchronously with other learners, the larger displays will deliver an excellent learning environment for times when there is:
This new learning platform will also feature:
In the future, new forms of Human Computer Interaction (HCI) such as Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) will be integrated into this new learning environment – providing entirely new means of collaborating with one another.
Likely players:
12 #EmergingTechnologies aiming to transform #UX (#AI #AR #ML #bigdata #IoT) https://t.co/1DO0qwjNc0 HT @MikeQuindazzi #LTW #VivaTech pic.twitter.com/wWahBIc0qD
— Evan Kirstel (@evankirstel) June 14, 2017
The Classroom of Tomorrow: A Panel Discussion — sponsored by Kaltura
Description:
Technology is changing the way we approach education, rapidly. But what will tomorrow’s classroom actually look like? We’ve invited some leading experts for a spirited debate about what the future holds for educational institutions. From personalization to predictive analytics to portable digital identities, we’ll explore the biggest changes coming. We’ll see how new technologies might interact with changing demographics, business models, drop out rates, and more.
Panelists:
Also see:
Regarding the above items, some thoughts from DSC:
Kaltura did a nice job of placing the focus on a discussion about the future of the classroom as well as on some trends to be aware of, and not necessarily on their own company (this was especially the case in regards to the panel discussion). They did mention some things about their newest effort, Kaltura Lecture Capture, but this was kept to a very reasonable amount.
A question/reflection from DSC:
Will #MOOCs provide the necessary data for #AI-based intelligent agents/algorithms? Reminds me of Socratic.org:
Somewhat related:
Amazon’s new bricks-&-mortar bookstore nails what the web couldn’t — from hackernoon.com by Pat Ryan
or
A title from DSC:
How Amazon uses its vast data resources to reinvent the bookstore
Excerpt (emphasis DSC):
Amazon’s First Foray into Physical Retail — While Utilitarian — Takes Discovery to New Levels
As a long time city dweller living in a neighborhood full of history, I had mixed feelings about the arrival of Amazon’s first bricks-and-mortar bookstore in a city neighborhood (the first four are located in malls). Like most of my neighbors around Chicago’s Southport Corridor, I prefer the charm of owner operated boutiques. Yet as a tech entrepreneur who holds Amazon founder Jeff Bezos in the highest esteem, I was excited to see how Amazon would reimagine the traditional bookstore given their customer obsession and their treasure trove of user data. Here’s what I discovered…
…
The Bottom Line:
I will still go to Amazon.com for the job of ordering a book that I already know that I want (and to the local Barnes and Noble if I need it today). But when I need to discover a book for gifts (Father’s Day is coming up soon enough) or for my own interest, nothing that I have seen compares to Amazon Books. We had an amazing experience and discovered more books in 20 minutes than we had in the past month or two.
The physical manifestation of the “if you like…then you’ll love…”
The ultra metric combining insights from disparate sources seems more compelling than standard best seller lists
Making sure the machines don’t take over — from raconteur.net by Mark Frary
Preparing economic players for the impact of artificial intelligence is a work in progress which requires careful handling
From DSC:
This short article presents a balanced approach, as it relays both the advantages and disadvantages of AI in our world.
Perhaps it will be one of higher education’s new tasks — to determine the best jobs to go into that will survive the next 5-10+ years and help you get up-to-speed in those areas. The liberal arts are very important here, as they lay a solid foundation that one can use to adapt to changing conditions and move into multiple areas. If the C-suite only sees the savings to the bottom line — and to *&^# with humanity (that’s their problem, not mine!) — then our society could be in trouble.
Also see:
From DSC:
First of all, let me say again that I’m not suggesting that we replace professors with artificial intelligence, algorithms, and such.
However, given a variety of trends, we need to greatly lower the price of obtaining a degree and these types of technologies will help us do just that — while at the same time significantly increasing the productivity of each professor and/or team of specialists offering an online-based course (something institutions of higher education are currently attempting to do…big time). Not only will these types of technologies find their place in the higher education landscape, I predict that they will usher in a “New Amazon.com of Higher Education” — a new organization that will cause major disruption for traditional institutions of higher education. AI-powered MOOCs will find their place on the higher ed landscape; just how big they become remains to be seen, but this area of the landscape should be on our radars from here on out.
This type of development again points the need for team-based
approaches; such approaches will likely dominate the future.
California State University East Bay partners with Cognii to offer artificial intelligence powered online learning — from prnewswire.com
Cognii’s Virtual Learning Assistant technology will provide intelligent tutoring and assessments to students in a chatbot-style conversation
Excerpt:
HAYWARD, Calif., April 14, 2017 /PRNewswire/ — Cal State East Bay, a top-tier public university, and Cognii Inc., a leading provider of artificial intelligence-based educational technologies, today announced a partnership. Cognii will work with Cal State East Bay to develop a new learning and assessment experience, powered by Cognii’s Virtual Learning Assistant technology.
Winner of the 2016 EdTech Innovation of the Year Award from Mass Technology Leadership Council for its unique use of conversational AI and Natural Language Processing technologies in education, Cognii VLA provides automatic grading to students’ open-response answers along with qualitative feedback that guides them towards conceptual mastery. Compared to the multiple choice tests, open-response questions are considered pedagogically superior for measuring students’ critical thinking and problem solving skills, essential for 21st century jobs.
Students at Cal State East Bay will use the Cognii-powered interactive tutorials starting in summer as part of the online transfer orientation course. The interactive questions and tutorials will be developed collaboratively by Cognii team and the eLearning specialists from the university’s office of the Online Campus. Students will interact with the questions in a chatbot-style natural language conversation during the formative assessment stage. As students practice the tutorials, Cognii will generate rich learning analytics and proficiency measurements for the course leaders.
The 82 Hottest EdTech Tools of 2017 According to Education Experts — from tutora.co.uk by Giorgio Cassella
Excerpt:
If you work in education, you’ll know there’s a HUGE array of applications, services, products and tools created to serve a multitude of functions in education.
Tools for teaching and learning, parent-teacher communication apps, lesson planning software, home-tutoring websites, revision blogs, SEN education information, professional development qualifications and more.
There are so many companies creating new products for education, though, that it can be difficult to keep up – especially with the massive volumes of planning and marking teachers have to do, never mind finding the time to actually teach!
So how do you know which ones are the best?
Well, as a team of people passionate about education and learning, we decided to do a bit of research to help you out.
We’ve asked some of the best and brightest in education for their opinions on the hottest EdTech of 2017. These guys are the real deal – experts in education, teaching and new tech from all over the world from England to India, to New York and San Francisco.
They’ve given us a list of 82 amazing, tried and tested tools…
From DSC:
The ones that I mentioned that Giorgio included in his excellent article were:
The Hidden Costs of Active Learning — from by Thomas Mennella
Flipped and active learning truly are a better way for students to learn, but they also may be a fast track to instructor burnout.
Excerpt:
The time has come for us to have a discussion about the hidden cost of active learning in higher education. Soon, gone will be the days of instructors arriving to a lecture hall, delivering a 75-minute speech and leaving. Gone will be the days of midterms and finals being the sole forms of assessing student learning. For me, these days have already passed, and good riddance. These are largely ineffective teaching and learning strategies. Today’s college classroom is becoming dynamic, active and student-centered. Additionally, the learning never stops because the dialogue between student and instructor persists endlessly over the internet. Trust me when I say that this can be exhausting. With constant ‘touch-points,’ ‘personalized learning opportunities’ and the like, the notion of a college instructor having 12 contact hours per week that even remotely total 12 hours is beyond unreasonable.
We need to reevaluate how we measure, assign and compensate faculty teaching loads within an active learning framework. We need to recognize that instructors teaching in these innovative ways are doing more, and spending more hours, than their more traditional colleagues. And we must accept that a failure to recognize and remedy these ‘new normals’ risks burning out a generation of dedicated and passionate instructors. Flipped learning works and active learning works, but they’re very challenging ways to teach. I still say I will never teach another way again … I’m just not sure for how much longer that can be.
From DSC:
The above article prompted me to revisit the question of how we might move towards using more team-based approaches…? Thomas Mennella seems to be doing an incredible job — but grading 344 assignments each week or 3,784 assignments this semester is most definitely a recipe for burnout.
Then, pondering this situation, an article came to my mind that discusses Thomas Frey’s prediction that the largest internet-based company of 2030 will be focused on education.
I wondered…who will be the Amazon.com of the future of education?
Such an organization will likely utilize a team-based approach to create and deliver excellent learning experiences — and will also likely leverage the power of artificial intelligence/machine learning/deep learning as a piece of their strategy.
Tech giants grapple with the ethical concerns raised by the AI boom — from technologyreview.com by Tom Simonite
As machines take over more decisions from humans, new questions about fairness, ethics, and morality arise.
Excerpt:
With great power comes great responsibility—and artificial-intelligence technology is getting much more powerful. Companies in the vanguard of developing and deploying machine learning and AI are now starting to talk openly about ethical challenges raised by their increasingly smart creations.
“We’re here at an inflection point for AI,” said Eric Horvitz, managing director of Microsoft Research, at MIT Technology Review’s EmTech conference this week. “We have an ethical imperative to harness AI to protect and preserve over time.”
Horvitz spoke alongside researchers from IBM and Google pondering similar issues. One shared concern was that recent advances are leading companies to put software in positions with very direct control over humans—for example in health care.
21 bot experts make their predictions for 2017 — from venturebeat.com by Adelyn Zhou
Excerpt:
2016 was a huge year for bots, with major platforms like Facebook launching bots for Messenger, and Amazon and Google heavily pushing their digital assistants. Looking forward to 2017, we asked 21 bot experts, entrepreneurs, and executives to share their predictions for how bots will continue to evolve in the coming year.
…
From Jordi Torras, founder and CEO, Inbenta:
“Chatbots will get increasingly smarter, thanks to the adoption of sophisticated AI algorithms and machine learning. But also they will specialize more in specific tasks, like online purchases, customer support, or online advice. First attempts of chatbot interoperability will start to appear, with generalist chatbots, like Siri or Alexa, connecting to specialized enterprise chatbots to accomplish specific tasks. Functions traditionally performed by search engines will be increasingly performed by chatbots.”
From DSC:
For those of us working within higher education, chatbots need to be on our radars. Here are 2 slides from my NGLS 2017 presentation.