Example articles from the Privacy Project:
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James Bennet: Do You Know What You’ve Given Up?
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A. G. Sulzberger: How The Times Thinks About Privacy
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Samantha Irby: I Don’t Care. I Love My Phone.
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Tim Wu: How Capitalism Betrayed Privacy
On 04/17/2019,
in 21st century, 24x7x365 access, algorithms, Amazon, analytics, Apple, Artificial Intelligence / Machine Learning / Deep Learning, dangers of the status quo, data mining, ethics, Facebook, global / globalization, Google, human-computer interaction (HCI), intelligent systems, internet, Law Schools, legislatures / government / legal, society,
by Daniel Christian
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On 04/06/2019,
in A/V -- audio/visual, assistive technologies, augmented reality, blended learning, chemistry, cloud-based computing / apps / other cloud-related, colleges, community colleges, Daniel S. Christian, digital learning, education technology, emerging technologies, engagement / engaging students, experimentation, faculty, higher education, hybrid learning, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, learning, learning ecosystem, learning spaces, platforms, productivity / tips and tricks, science, smart classrooms, society, student-related, teachers, teaching & learning, technology (general), tools, trends, universities, usability, user experience (UX), Using teams, vendors, virtual reality / worlds / learning, wearables, XR - extended reality,
by Daniel Christian
From DSC:
First of all, an article:
The four definitive use cases for AR and VR in retail — from forbes.com by Nikki Baird
Excerpt (emphasis DSC):
AR is the go-to engagement method of choice when it comes to product and category exploration. A label on a product on a shelf can only do so much to convey product and brand information, vs. AR, which can easily tap into a wealth of digital information online and bring it to life as an overlay on a product or on the label itself.
From DSC:
Applying this concept to the academic world…what might this mean for a student in a chemistry class who has a mobile device and/or a pair of smart goggles on and is working with an Erlenmeyer flask? A burette? A Bunsen burner?
Along these lines...what if all of those confused students — like *I* was struggling through chem lab — could see how an experiment was *supposed to be done!?*
That is, if there’s only 30 minutes of lab time left, the professor or TA could “flip a switch” to turn on the AR cloud within the laboratory space to allow those struggling students to see how to do their experiment.
I can’t tell you how many times I was just trying to get through the lab — not knowing what I was doing, and getting zero help from any professor or TA. I hardly learned a thing that stuck with me…except the names of a few devices and the abbreviations of a few chemicals. For the most part, it was a waste of money. How many students experience this as well and feel like I did?
Will the terms “blended learning” and/or “hybrid learning” take on whole new dimensions with the onset of AR, MR, and VR-related learning experiences?
#IntelligentTutoring #IntelligentSystems #LearningExperiences
#AR #VR #MR #XR #ARCloud #AssistiveTechnologies
#Chemistry #BlendedLearning #HybridLearning #DigitalLearning
Also see:
- 100 million people will shop with AR by 2020, market researcher says — from cnet.com by Shelby Brown
5G is the key to it all, according to Gartner.
. - Advertising Enters the Next Dimension — from medium.com by Tom Emrich
7 ways spatial computing is evolving advertising & marketing
“It is conceivable that we’re going to be moving into a world without screens, a world where [glasses are] your screen. You don’t need any more form factor than [that].”
(AT&T CEO)
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On 04/03/2019,
in 21st century, algorithms, Artificial Intelligence / Machine Learning / Deep Learning, business, cloud-based computing / apps / other cloud-related, data mining, emerging technologies, future, intelligent systems, internet, Law Schools, legislatures / government / legal, workplace,
by Daniel Christian
10 predictions for the future of the IoT — from bbntimes.com by Ahmed Banafa
Also see:
- How Artificial Intelligence will kickstart the Internet of Things — from bbntimes.com by Ahmed Banafa
Excerpt:
Examples of such IoT data:- Data that helps cities predict accidents and crimes
- Data that gives doctors real-time insight into information from pacemakers or biochips
- Data that optimize productivity across industries through predictive maintenance on equipment and machinery
- Data that creates truly smart homes with connected appliances
- Data that provides critical communication between self-driving cars
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On 04/01/2019,
in bots, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, Languages and translation, learning from the living [class] room, Natural Language Processing (NLP), tools, vendors, voice recognition / voice enabled interfaces,
by Daniel Christian
Video: Chatbots’ History and Future — from which-50.com by Joseph Brookes
Excerpt:
What’s Next For Chatbots?
One area where chatbots will have an increasing impact in the future is language, according to Kraeutler. He argues the further integration of language services from the likes of Google will bring down processing times in multilingual scenarios.
“Having a chatbot where a consumer can very easily speak in their native tongue and use services like Google to provide real-time translation — and increasingly very accurate real-time translation. That allows the bot to respond to the consumer, again, very accurately, but also in their native tongue.”
That translation feature, Kraeutler says, will also be vital in assisted conversations — where bots assist human agents to provide next-best actions — allowing the two human parties to converse in near real time in their native languages.
From DSC:
This is much more than a Voice Response Unit (VRU) Phase II…the educational realm should watch what happens with chatbots…as they could assist with doing some heavy lifting in the learning world.
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On 03/28/2019,
in 21st century, Blockchain, cloud-based computing / apps / other cloud-related, colleges, community colleges, credentialing, emerging technologies, experimentation, future of higher education, higher education, human-computer interaction (HCI), innovation, intelligent systems, intelligent tutoring, IT in HE, learning spaces, Natural Language Processing (NLP), platforms, smart classrooms, strategy, technology (general), tools, United States, universities, vendors, virtual reality / worlds / learning, Wireless,
by Daniel Christian
Gartner: Top 10 Strategic Technologies Impacting Higher Ed in 2019 — from campustechnology.com by Rhea Kelly
Excerpt:
- Artificial intelligence conversational interfaces. Gartner defines these as “a subset of conversational user interfaces (CUIs), in which user and machine interactions occur in the user’s spoken or written natural language.” The benefit for higher ed insitutions: “CUIs place responsibility on the machine interface to learn what the user wants, rather than the user having to learn the software, saving user time, increasing student satisfaction, and being available to use 24/7.”
- Smart campus. This is “a physical or digital environment in which humans and technology-enabled systems interact to create more immersive and automated experiences for university stakeholders.” While smart campus initiatives are still in the early stages, there has been a rising interest across higher ed institutions, according to Gartner. “The smart campus will drive growth in markets like robotic process automation solutions and augmented and virtual reality in the higher education space. Campus efficiency will be enhanced and student learning will be enriched with the new capabilities they bring. It’s a win all-around, except for the data security implications that come with most technology initiatives today,” said Morgan.
… - Digital credentialing technologies. “Students, faculty and the higher education institutions they are a part of are starting to expect the ability to quickly and freely exchange credentials to enhance the verification and recruitment process,” noted Gartner. Technologies such as blockchain and data encryption are driving change in this area. “In many ways, credentials issued by an education institution are the only tangible evidence of higher education. They should be considered the currency of the education ecosystem,” said Morgan. “These technologies really enable universities to leverage technology to improve the student experience by giving them more control over their information. The only hurdle is a general lack of understanding of digital credentialing technologies and risk-averseness in the high-stakes nature of the higher education market.”
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On 03/28/2019,
in 21st century, algorithms, Artificial Intelligence / Machine Learning / Deep Learning, bots, business, data mining, digital audio, digital video, emerging technologies, intelligent systems, Law Schools, legal technologies, legislatures / government / legal, pace of change, platforms, technology (general), tools,
by Daniel Christian
Map of fundamental technologies in legal services — from remakinglawfirms.com by Michelle Mahoney
Excerpt:
The Map is designed to help make sense of the trends we are observing:
- an increasing number of legal technology offerings;
- the increasing effectiveness of legal technologies;
- emerging new categories of legal technology;
- the layering and combining of fundamental technology capabilities; and
- the maturation of machine learning, natural language processing and deep learning artificial intelligence.
Given the exponential nature of the technologies, the Fundamental Technologies Map can only depict the landscape at the current point in time.
Information processing in legal services (PDF file)
Also see:
Delta Model Update: The Most Important Area of Lawyer Competency — Personal Effectiveness Skills — from legalexecutiveinstitute.comby Natalie Runyon
Excerpt:
Many legal experts say the legal industry is at an inflection point because the pace of change is being driven by many factors — technology, client demand, disaggregation of matter workflow, the rise of Millennials approaching mid-career status, and the faster pace of business in general.
The fact that technology spend by law firms continues to be a primary area of investment underscores the fact that the pace of change is continuing to accelerate with the ongoing rise of big data and workflow technology that are greatly influencing how lawyering gets done. Moreover, combined with big unstructured data, artificial intelligence (AI) is creating opportunities to analyze siloed data sets to gain insights in numerous new ways.
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On 03/23/2019,
in 21st century, adjunct faculty, colleges, community colleges, Daniel S. Christian, digital learning, education technology, face-to-face, higher education, innovation, instructional design, intelligent systems, intelligent tutoring, learning, learning ecosystem, learning from the living [class] room, MBA, new business models, online learning, teaching & learning, teaching online, United States, universities, Using teams,
by Daniel Christian
HBS Online: Why Harvard Business School’s digital rebrand is big news for online learning — from businessbecause.com by Seb Murray
Name change from HBX to Harvard Business School Online symbolizes a maturing market. We speak to Patrick Mullane, executive director of HBS Online, to find out more
Excerpt:
At first glance, it may have seemed like an inconsequential name change: Harvard Business School’s digital learning platform HBX would be called HBS Online.
But commentators have billed the recent rebrand as having the potential for a big impact on online education. For one, the makeover could help to further legitimize the market.
Online learning was initially considered second-rate to campus study, due to concerns about teaching quality and interactivity online. Nitin Nohria, the dean of HBS, saying in 2010 that the school would never go online in his lifetime, appeared to confirm the scepticism.
But he has since admitted he ‘misjudged the potential of online education’ and is…
From DSC:
This is very old hat…but those who haven’t taught online should not judge online teaching and learning. If I gave you the writeups from my students from a class that I have taught in both a face-to-face format as well as in an online format — where I ask them what they learned during the class — I swear that you could not tell which documents represented those courses taught online vs. those taught face-to-face. I guarantee it. So as the saying goes…don’t judge it if you haven’t tried it.
Oh…and by the way, many of the innovations in teaching and learning are happening in the digital/virtual realm. Not all, but many. And we haven’t seen anything yet.
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On 03/23/2019,
in 21st century, Artificial Intelligence / Machine Learning / Deep Learning, computer science, ethics, innovation, intelligent systems, morals/values, platforms, programming, research, United States, universities,
by Daniel Christian
MIT has just announced a $1 billion plan to create a new college for AI — from technologyreview.com
Excerpt:
One of the birthplaces of artificial intelligence, MIT, has announced a bold plan to reshape its academic program around the technology. With $1 billion in funding, MIT will create a new college that combines AI, machine learning, and data science with other academic disciplines. It is the largest financial investment in AI by any US academic institution to date.
From this page:
The College will:
- reorient MIT to bring the power of computing and AI to all fields of study at MIT, allowing the future of computing and AI to be shaped by insights from all other disciplines;
- create 50 new faculty positions that will be located both within the College and jointly with other departments across MIT — nearly doubling MIT’s academic capability in computing and AI;
- give MIT’s five schools a shared structure for collaborative education, research, and innovation in computing and AI;
- educate students in every discipline to responsibly use and develop AI and computing technologies to help make a better world; and
- transform education and research in public policy and ethical considerations relevant to computing and AI.
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On 03/21/2019,
in 21st century, A/V -- audio/visual, algorithms, analytics, Artificial Intelligence / Machine Learning / Deep Learning, change, cognitive computing, collaboration, communications, corporate / business world, corporate universities / corporate training, data mining, digital audio, digital video, education technology, emerging technologies, future, human-computer interaction (HCI), ideas, innovation, intelligent systems, IT in HE, multimedia, Natural Language Processing (NLP), online learning, platforms, presentations, Smart/Connected TV, telecommunications, tools, United States, user experience (UX), vendors, videoconferencing, voice recognition / voice enabled interfaces, web-based collaboration, workplace,
by Daniel Christian
Collaboration technology is fueling enterprise transformation – increasing agility, driving efficiency and improving productivity. Join Amy Chang at Enterprise Connect where she will share Cisco’s vision for the future of collaboration, the foundations we have in place and the amazing work we’re driving to win our customers’ hearts and minds. Cognitive collaboration – technology that weaves context and intelligence across applications, devices and workflows, connecting people with customers & colleagues, to deliver unprecedented experiences and transform how we work – is at the heart of our efforts. Join this session to see our technology in action and hear how our customers are using our portfolio of products today to transform the way they work.
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On 03/20/2019,
in 1:1 / 1:World, 21st century, 24x7x365 access, active learning, adjunct faculty, adult learning, algorithms, Amazon, analytics, Artificial Intelligence / Machine Learning / Deep Learning, blended learning, Blockchain, bots, business, business side of he, career development, change, changing business models, cloud-based computing / apps / other cloud-related, CMS/LMS, cognitive computing, collaboration, colleges, communications, communities of practice, community colleges, 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, digital learning, disruption, distance education, education, education reform, education technology, elearning, emerging technologies, future, future of higher education, game-changing environment, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), hybrid learning, ideas, innovation, intelligent systems, intelligent tutoring, internet, learner profiles, learning, Learning Agents, learning ecosystem, learning from the living [class] room, learning hubs, library / librarians, Lifelong learning, Microlearning, Mobile learning, MOOCs -- Massive Open Online Courses, more choice more control, Natural Language Processing (NLP), new business models, online learning, online media, pace of change, personalized/customized learning, platforms, professional development, reinvent, smart classrooms, Smart/Connected TV, social learning / networks, society, staying relevant, streams of content, student-related, surviving, Technologies for your home, telepresence, television, tools, training / L&D, transmedia, trends, United States, universities, user experience (UX), vision, Walmart of Education --> New Amazon.com of Higher Education, web-based collaboration, workplace, youth,
by Daniel Christian
From a fairly recent e-newsletter from edsurge.com — though I don’t recall the exact date (emphasis DSC):
New England is home to some of the most famous universities in the world. But the region has also become ground zero for the demographic shifts that promise to disrupt higher education.
This week saw two developments that fit the narrative. On Monday, Southern Vermont College announced that it would shut its doors, becoming the latest small rural private college to do so. Later that same day, the University of Massachusetts said it would start a new online college aimed at a national audience, noting that it expects campus enrollments to erode as the number of traditional college-age students declines in the coming years.
“Make no mistake—this is an existential threat to entire sectors of higher education,” said UMass president Marty Meehan in announcing the online effort.
The approach seems to parallel the U.S. retail sector, where, as a New York Times piece outlines this week, stores like Target and WalMart have thrived by building online strategies aimed at competing with Amazon, while stores like Gap and Payless, which did little to move online, are closing stores. Of course, college is not like any other product or service, and plenty of campuses are touting the richness of the experience that students get by actually coming to a campus. And it’s not clear how many colleges can grow online to a scale that makes their investments pay off.
“It’s predicted that over the next several years, four to five major national players with strong regional footholds will be established. We intend to be one of them.”
University of Massachusetts President Marty Meehan
From DSC:
That last quote from UMass President Marty Meehan made me reflect upon the idea of having one or more enormous entities that will provide “higher education” in the future. I wonder if things will turn out to be that we’ll have more lifelong learning providers and platforms in the future — with the idea of a 60-year curriculum being an interesting idea that may come into fruition.
Long have I predicted that such an enormous entity would come to pass. Back in 2008, I named it the Forthcoming Walmart of Education. But then as the years went by, I got bumbed out on some things that Walmart was doing, and re-branded it the Forthcoming Amazon.com of Higher Education. We’ll see how long that updated title lasts — but you get the point. In fact, the point aligns very nicely with what futurist Thomas Frey has been predicting for years as well:
“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. (source)
I realize that education doesn’t always scale well…but I’m thinking that how people learn in the future may be different than how we did things in the past…communities of practice comes to mind…as does new forms of credentialing…as does cloud-based learner profiles…as does the need for highly efficient, cost-effective, and constant opportunities/means to reinvent oneself.
Also see:
- Fearing ‘existential threat,’ U of Massachusetts unveils plans for national online platform — from educationdive.com by Natalie Schwartz
Addendum:
74% of consumers go to Amazon when they’re ready to buy something. That should be keeping retailers up at night. — from cnbc.com
Key points (emphasis DSC)
- Amazon remains a looming threat for some of the biggest retailers in the country — like Walmart, Target and Macy’s.
- When consumers are ready to buy a specific product, nearly three-quarters of them, or 74 percent, are going straight to Amazon to do it, according to a new study by Feedvisor.
- By the end of this year, Amazon is expected to account for 52.4 percent of the e-commerce market in the U.S., up from 48 percent in 2018.
“In New England, there will be between 32,000 and 54,000 fewer college-aged students just seven years from now,” Meehan said. “That means colleges and universities will have too much capacity and not enough demand at a time when the economic model in higher education is already straining under its own weight.” (Marty Meehan at WBUR)
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