Galvanize will teach students how to use IBM Watson APIs with new machine learning course — from techcrunch.com by John Mannes

Excerpt:

As part of IBM’s annual InterConnect conference in Las Vegas, the company is announcing a new machine learning course in partnership with workspace and education provider Galvanize to familiarize students with IBM’s suite of Watson APIs. These APIs simplify the process of building tools that rely on language, speech and vision analysis.

Going by the admittedly clunky name IBM Cognitive Course, the class will spend four weeks teaching the basics of machine learning and Watson’s capabilities. Students will be able to take the class directly within IBM’s Bluemix cloud platform.

 

 

 

 

A smorgasboard of ideas to put on your organization’s radar! [Christian]

From DSC:
At the Next Generation Learning Spaces Conference, held recently in San Diego, CA, I moderated a panel discussion re: AR, VR, and MR.  I started off our panel discussion with some introductory ideas and remarks — meant to make sure that numerous ideas were on the radars at attendees’ organizations. Then Vinay and Carrie did a super job of addressing several topics and questions (Mary was unable to make it that day, as she got stuck in the UK due to transportation-related issues).

That said, I didn’t get a chance to finish the second part of the presentation which I’ve listed below in both 4:3 and 16:9 formats.  So I made a recording of these ideas, and I’m relaying it to you in the hopes that it can help you and your organization.

 


Presentations/recordings:


 

Audio/video recording (187 MB MP4 file)

 

 


Again, I hope you find this information helpful.

Thanks,
Daniel

 

 

 

From DSC:
In the future, will Microsoft — via data supplied by LinkedIn and Lynda.com — use artificial intelligence, big data, and blockchain-related technologies to match employers with employees/freelancers?  If so, how would this impact higher education? Badging? Credentialing?

It’s something to put on our radars.

 

 

 

 

 

Excerpt:

A sneak peak on Recruitment in AI era
With global talent war at its peak, organisations are now looking at harnessing Artificial Intelligence (AI) capabilities, to use search optimisation tools, data analytics, and talent mapping to reach out to the right talent for crucial job roles. Technology has been revolutionising the way recruitment works with the entire process being now automated with ATS and other talent management softwares. This saves time and costs involved with recruiting for HR managers, whilst allowing them to do away with third-party service providers for talent sourcing such as employment bureaus and traditional recruitment agencies. With modern talent acquisition technology empowered by AI, the time taken for recruitment is halved and search narrowed to reach out to only the best talent that matches job requirements. There is no need for human intervention and manual personality matching to choose the best candidates for suitable job roles.

Talent mapping, with the help of big data, is definitely the next step in recruitment technology. With talent mapping, recruiters can determine their candidate needs well in advance and develop a strategic plan for hiring long-term. This includes filling any skill gaps, bolstering the team for sudden changes in the workplace, or just simply having suitable talent in mind for the future. All of these, when prepared ahead of time, can save companies the trouble and time in future. Recruiters who are able to understand how AI works, harness the technology to save on time and costs will be rewarded with improved quality of hires, enhanced efficiency, more productive workforce and less turnover.

 

From DSC:
Chatbots were another one of the topics I mentioned at the Next Generation Learning Spaces Conference last week. For those of us working within higher education, chatbots need to be on our radars!

 

 

An article from today on this:

  • Using AI Chatbots to Freeze ‘Summer Melt’ in Higher Ed — from campustechnology.com by Sri Ravipati
    Excerpt:
    Students who accept offers of admission into a college or university don’t always show up for fall enrollment — a phenomenon known as “summer melt.” It’s a problem that Georgia State University (GSU) is all too familiar with: The institution’s summer melt rates have increased from 12 percent to nearly 19 percent in recent years. With traditional methods of reaching students (i.e. snail mail, e-mail and phone calls) producing feeble results, GSU decided to try another approach: smart text messaging.

    According to a recent case study, GSU was well aware of the advantages of communicating with students via text messages, but was concerned about the additional workload that text messaging students would place on existing staff. So, the university partnered with AdmitHub, a Boston-based ed tech startup, to test out text-based intervention. AdmitHub works with higher ed institutions to create a virtual “campus coach” that embodies the collective knowledge and unique spirit of a school’s community. It integrates conversational artificial intelligence (AI) with human expertise to guide students to and through college.

 

One of the slides from my presentation on this:

 

 

 

Summer 2017 Human++ — fromcambridge.nuvustudio.com
Human-Machine Intelligence, Hacking Drones, Bio Fashion, Augmented Video Games, Aerial Filmmaking, Smart Tools, Soft Robotics and more!

Excerpt:

NuVu is a place where young students grow their spirit of innovation. They use their curiosity and creativity to explore new ideas, and make their concepts come to life through our design process. Our model is based on the architecture studio model, and every Summer we use imaginative themes to frame two-week long Studios in which students dive into hands-on design, engineering, science, technology, art and more!

 

 

From DSC:
At the recent
Next Generation Learning Spaces Conference, in my introductory piece for our panel discussion, I relayed several ideas/areas that should be on our institutions’ radars. That is, at least someone at each of our institutions of higher education should be aware of these things and be pulse-checking them as time goes by.

 

 

 

 

 

 

 

 

 

 

 

One of these ideas/areas involved the use of blockchain technologies:

 

 

If #blockchain technologies are successful within the financial/banking world, then it’s highly likely that other use cases will be developed as well (i.e., the trust in blockchain-enabled applications will be there already).

Along those lines, if that occurs, then colleges and universities are likely to become only 1 of the feeds into someone’s cloud-based, lifelong learning profile. I’ve listed several more sources of credentials below:

 

 

Given the trend towards more competency-based education (CBE) and the increased experimentation with badges, blockchain could increasingly move onto the scene.

In fact, I could see a day when an individual learner will be able to establish who can and can’t access their learner profile, and who can and can’t feed information and updates into it.

Artificial intelligence and big data also come to mind here…and I put Microsoft on my radar a while back in this regard; as Microsoft (via LinkedIn and Lynda.com) could easily create online-based marketplaces matching employers with employees/freelancers.

 

 

 


Along these lines, see:


 

  • The Mainstreaming of Alternative Credentials in Postsecondary Education — from by Deborah Keyek-Franssen
    Excerpt:

    • The Context of Alternative Credentials
      The past few years have seen a proliferation of new learning credentials ranging from badges and bootcamp certifications to micro-degrees and MOOC certificates. Although alternative credentials have been part of the fabric of postsecondary education and professional development for decades—think prior learning assessments like Advanced Placement or International Baccalaureate exams, or industry certifications—postsecondary institutions are increasingly unbundling their degrees and validating smaller chunks of skills and learning to provide workplace value to traditional and non-traditional students alike.
      Many are experimenting with alternative credentials to counter the typical binary nature of a degree. Certifications of learning or skills are conferred after the completion of a course or a few short courses in a related field. Students do not have to wait until all requirements for a degree are met before receiving a certificate of learning, but instead can receive one after a much shorter period of study. “Stackable” credentials are combined to be the equivalent of an undergraduate or graduate certificate (a micro-degree), or even a degree.
    • The National Discussion of Alternative Credentials
      Discussions of alternative credentials are often responses to a persistent and growing critique of traditional higher educational institutions’ ability to meet workforce needs, especially because the cost to students for a four-year degree has grown dramatically over the past several decades. The increasing attention paid to alternative credentials brings to the fore questions such as what constitutes a postsecondary education, what role universities in particular should play vis-à-vis workforce development, and how we can assess learning and mastery.

 

 


Addendums added on 3/4/17, that show that this topic isn’t just for higher education, but could involve K-12 as well:


 

 

 

 

 

Growth of AI Means We Need To Retrain Workers… Now — from forbes.com by Ryan Wibberley

Excerpt:

On the more positive side, AI could take over mundane, repetitive tasks and enable the workers who perform them to take on more interesting and rewarding work. But that will also mean many workers will need to be retrained. If you’re in a business where AI-based automation could be a potentially significant disruptor, then the time to invest in worker training and skill development is now. One could argue that AI will impact just about every industry. For example, in the financial services industry, we have already seen the creation of the robo advisor. While I don’t believe that the robo advisor will fully replace the human financial advisor because of the emotional aspects of investing, I do believe that it will play a part in the relationship with an advisor and his/her client.

 

This app helps you learn a new language in virtual reality — from haptic.al by Deniz Ergürel
The educational VR app combines voice chatbot technology and speech recognition.

Excerpt:

Learning a new language can be extremely hard. It requires a lot of effort, time and dedication. A new virtual reality app aims to make this learning process much easier and even fun.

Launched in Oculus store, “Learn Languages VR by Mondly” allows people to experience lifelike conversations with virtual characters, in 28 different languages. The VR app can be downloaded for Samsung’s Gear VR headsets to get some introductory courses for free.

 

 

 

 

HarvardX rolls out new adaptive learning feature in online course — from edscoop.com by Corinne Lestch
Students in MOOC adaptive learning experiment scored nearly 20 percent better than students using more traditional learning approaches.

Excerpt:

Online courses at Harvard University are adapting on the fly to students’ needs.

Officials at the Cambridge, Massachusetts, institution announced a new adaptive learning technology that was recently rolled out in a HarvardX online course. The feature offers tailored course material that directly correlates with student performance while the student is taking the class, as well as tailored assessment algorithms.

HarvardX is an independent university initiative that was launched in parallel with edX, the online learning platform that was created by Harvard and Massachusetts Institute of Technology. Both HarvardX and edX run massive open online courses. The new feature has never before been used in a HarvardX course, and has only been deployed in a small number of edX courses, according to officials.

 

 

From DSC:
Given the growth of AI, this is certainly radar worthy — something that’s definitely worth pulse-checking to see where opportunities exist to leverage these types of technologies.  What we now know of as adaptive learning will likely take an enormous step forward in the next decade.

IBM’s assertion rings in my mind:

 

 

I’m cautiously hopeful that these types of technologies can extend beyond K-12 and help us deal with the current need to be lifelong learners, and the need to constantly reinvent ourselves — while providing us with more choice, more control over our learning. I’m hopeful that learners will be able to pursue their passions, and enlist the help of other learners and/or the (human) subject matter experts as needed.

I don’t see these types of technologies replacing any teachers, professors, or trainers. That said, these types of technologies should be able to help do some of the heavy teaching and learning lifting in order to help someone learn about a new topic.

Again, this is one piece of the Learning from the Living [Class] Room that we see developing.

 

 

 

 

 

CES 2017: The year of voice — from J. Walter Thompson Intelligence by Sheperd Laughlin
Improvements in natural language processing have set the stage for a revolution in how we interact with tech.

Excerpt:

Over the past several decades, the proliferation of screens and “screen time” has been practically synonymous technology’s ever-expanding role in our lives. But this year’s CES highlights a shift in how we interact with computers: more and more, we’re bypassing screens altogether through the medium of voice.

Shawn DuBravac, chief economist of the Consumer Technology Association, said that 2017 represented an inflection point in computers’ ability to translate speech into text. When such experiments first began in 1994, he said, their error rate was about 100%. As recently as 2013, computers failed to accurately transcribe 23% of human speech.

But in 2017, they will reach parity with humans, understanding what we say at least 94% of the time. “We’re ushering in an entirely new era of faceless computing,” DuBravac said.

 

 

 


Addendum on 2/23/17:


 

 

It’s Here! Get the 2017 NMC Horizon Report

Earlier this week, the New Media Consortium (NMC) and the EDUCAUSE Learning Initiative (ELI) jointly released the NMC Horizon Report > 2017 Higher Education Edition at the 2017 ELI Annual Meeting. This 14th edition describes annual findings from the NMC Horizon Project, an ongoing research project designed to identify and describe emerging technologies likely to have an impact on learning, teaching, and creative inquiry in higher education. Six key trends, six significant challenges, and six important developments in educational technology are placed directly in the context of their likely impact on the core missions of universities and colleges.

 

 

The topics are summarized in the infographic below:

 

 

 

KPMG & Microsoft Announce New “Blockchain Nodes” — from finance.yahoo.com

Excerpt:

NEW YORK, Feb. 15, 2017 /PRNewswire/ — KPMG International and Microsoft Corp. have announced the launch of joint Blockchain Nodes, which are designed to create and demonstrate use cases that apply blockchain technology to business propositions and processes.  The first joint Blockchain Nodes are in Frankfurt and Singapore, with future plans for a location in New York.

The KPMG and Microsoft Blockchain Nodes –innovation workspaces– will expand on a global alliance, which combines Microsoft’s technical expertise with KPMG’s deep industry and blockchain application knowledge, together with strong connections to the start-up and developer communities.

“The Blockchain Nodes will play a critical role in identifying new applications and use cases that blockchain can address,” said Eamonn Maguire, global and US leader for KPMG’s Digital Ledger Services. “They will enable us to work directly with clients to discover and test ideas based on market insights, creating and implementing prototype solutions that use this innovative technology.”

 

 

IBM Brings Machine Learning to the Private Cloud — from finance.yahoo.com
First to automate creation and training of learning analytic models at the source of high value corporate data, starting with IBM z System Mainframe

Excerpt:

ARMONK, N.Y., Feb. 15, 2017 /PRNewswire/ — IBM (NYSE: IBM) today announced IBM Machine Learning, the first cognitive platform for continuously creating, training and deploying a high volume of analytic models in the private cloud at the source of vast corporate data stores.  Even using the most advanced techniques, data scientists – in shortest supply among today’s IT skills1 – might spend days or weeks developing, testing and retooling even a single analytic model one step at a time.

IBM has extracted the core machine learning technology from IBM Watson and will initially make it available where much of the world’s enterprise data resides: the z System mainframe, the operational core of global organizations where billions of daily transactions are processed by banks, retailers, insurers, transportation firms and governments.

IBM Machine Learning allows data scientists to automate the creation, training and deployment of operational analytic models that will support…

 

 

Amazon Echo and Google Home may soon be able to make voice calls — from financye.yahoo.com and Business Insider by Jeff Dunn

Excerpt:

The Amazon Echo and Google Home could be used to make and receive phone calls later this year, according to a new report from The Wall Street Journal’s Ryan Knutson and Laura Stevens. Citing “people familiar with the matter,” the report says that both Amazon and Google are looking to activate the feature, but that their attempts have been slowed by privacy and regulatory concerns. Amazon has reportedly been working on Echo-specific voice calls since 2015, but has been held up by “employee turnover” as well.

 

 

Amazon unveils Chime, looks to reinvent the conference call with new Skype and GoToMeeting competitor — from geekwire.com by John Cook

Excerpt:

Amazon is looking to transform just about every industry.

Now, the Seattle tech juggernaut wants to reinvent how you conduct meetings and conference calls.

Amazon Web Services today unveiled Chime, a new service that it says takes the “frustration out of meetings” by delivering video, voice, chat, and screen sharing. Instead of forcing participants to call one another on a dedicated line, Amazon Chime automatically calls all participants at the start of a meeting, so “joining a meeting is as easy as clicking a button in the app, no PIN required,” the company said in a press release. Chime also shows a visual roster of participants, and allows participants to pinpoint who exactly on the call is creating annoying background noise.

 

 

 

 

 

 

The Most Innovative Companies of 2017 — from fastcompany.com

Excerpt:

This year marks the 10th edition of the Fast Company World’s Most Innovative Companies ranking. Our reporting team sifts through thousands of enterprises each year, searching for those that tap both heartstrings and purse strings and use the engine of commerce to make a difference in the world. Impact is among our key criteria.

 

 

 

Speaking of innovation, this article is about innovation within the world of  higher education:

Crafting an Innovation Landscape — from er.educause.edu by Shirley Dugdale and Brian Strawn

Key Takeaways

  • As efforts to stimulate innovation spring up across campuses, institutions need a comprehensive planning framework for integrated planning of initiatives to support innovation.
  • Viewing the campus as an Innovation Landscape, settings for collaborative creative activity — both physical and virtual — infuse the campus fabric and become part of the daily experience of their users.
  • The Innovation Landscape Framework proposed here serves as a tool that can help coordinate physical planning with organizational initiatives, engage a wide range of stakeholders, and enable a culture of innovation across campus.

 

 

 

No hype, just fact: What artificial intelligence is – in simple business terms — from zdnet.com by Michael Krigsman
AI has become one of the great, meaningless buzzwords of our time. In this video, the Chief Data Scientist of Dun and Bradstreet explains AI in clear business terms.

Excerpt:

How do terms like machine learning, AI, and cognitive computing relate to one another?
They’re not synonymous. So, cognitive computing is very different than machine learning, and I will call both of them a type of AI. Just to try and describe those three. So, I would say artificial intelligence is all of that stuff I just described. It’s a collection of things designed to either mimic behavior, mimic thinking, behave intelligently, behave rationally, behave empathetically. Those are the systems and processes that are in the collection of soup that we call artificial intelligence.

Cognitive computing is primarily an IBM term. It’s a phenomenal approach to curating massive amounts of information that can be ingested into what’s called the cognitive stack. And then to be able to create connections among all of the ingested material, so that the user can discover a particular problem, or a particular question can be explored that hasn’t been anticipated.

Machine learning is almost the opposite of that. Where you have a goal function, you have something very specific that you try and define in the data. And, the machine learning will look at lots of disparate data, and try to create proximity to this goal function ? basically try to find what you told it to look for. Typically, you do that by either training the system, or by watching it behave, and turning knobs and buttons, so there’s unsupervised, supervised learning. And that’s very, very different than cognitive computing.

 

 

 

 

 

 

IBM to Train 25 Million Africans for Free to Build Workforce — from by Loni Prinsloo
* Tech giant seeking to bring, keep digital jobs in Africa
* Africa to have world’s largest workforce by 2040, IBM projects

Excerpt:

International Business Machines Corp. is ramping up its digital-skills training program to accommodate as many as 25 million Africans in the next five years, looking toward building a future workforce on the continent. The U.S. tech giant plans to make an initial investment of 945 million rand ($70 million) to roll out the training initiative in South Africa…

 

Also see:

IBM Unveils IT Learning Platform for African Youth — from investopedia.com by Tim Brugger

Excerpt (emphasis DSC):

Responding to concerns that artificial intelligence (A.I.) in the workplace will lead to companies laying off employees and shrinking their work forces, IBM (NYSE: IBM) CEO Ginni Rometty said in an interview with CNBC last month that A.I. wouldn’t replace humans, but rather open the door to “new collar” employment opportunities.

IBM describes new collar jobs as “careers that do not always require a four-year college degree but rather sought-after skills in cybersecurity, data science, artificial intelligence, cloud, and much more.”

In keeping with IBM’s promise to devote time and resources to preparing tomorrow’s new collar workers for those careers, it has announced a new “Digital-Nation Africa” initiative. IBM has committed $70 million to its cloud-based learning platform that will provide free skills development to as many as 25 million young people in Africa over the next five years.

The platform will include online learning opportunities for everything from basic IT skills to advanced training in social engagement, digital privacy, and cyber protection. IBM added that its A.I. computing wonder Watson will be used to analyze data from the online platform, adapt it, and help direct students to appropriate courses, as well as refine the curriculum to better suit specific needs.

 

 

From DSC:
That last part, about Watson being used to personalize learning and direct students to appropropriate courses, is one of the elements that I see in the Learning from the Living [Class]Room vision that I’ve been pulse-checking for the last several years. AI/cognitive computing will most assuredly be a part of our learning ecosystems in the future.  Amazon is currently building their own platform that adds 100 skills each day — and has 1000 people working on creating skills for Alexa.  This type of thing isn’t going away any time soon. Rather, I’d say that we haven’t seen anything yet!

 

 

The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV

 

 

And Amazon has doubled down to develop Alexa’s “skills,” which are discrete voice-based applications that allow the system to carry out specific tasks (like ordering pizza for example). At launch, Alexa had just 20 skills, which has reportedly jumped to 5,200 today with the company adding about 100 skills per day.

In fact, Bezos has said, “We’ve been working behind the scenes for the last four years, we have more than 1,000 people working on Alexa and the Echo ecosystem … It’s just the tip of the iceberg. Just last week, it launched a new website to help brands and developers create more skills for Alexa.

Source

 

 

Also see:

 

“We are trying to make education more personalised and cognitive through this partnership by creating a technology-driven personalised learning and tutoring,” Lula Mohanty, Vice President, Services at IBM, told ET. IBM will also use its cognitive technology platform, IBM Watson, as part of the partnership.

“We will use the IBM Watson data cloud as part of the deal, and access Watson education insight services, Watson library, student information insights — these are big data sets that have been created through collaboration and inputs with many universities. On top of this, we apply big data analytics,” Mohanty added.

Source

 

 


 

Also see:

  • Most People in Education are Just Looking for Faster Horses, But the Automobile is Coming — from etale.org by Bernard Bull
    Excerpt:
    Most people in education are looking for faster horses. It is too challenging, troubling, or beyond people’s sense of what is possible to really imagine a completely different way in which education happens in the world. That doesn’t mean, however, that the educational equivalent of the automobile is not on its way. I am confident that it is very much on its way. It might even arrive earlier than even the futurists expect. Consider the following prediction.

 


 

 

 
© 2025 | Daniel Christian