personalized/customized learning

2018 Tech Trends for Journalism & Media Report + the 2017 Tech Trends Annual Report that I missed from the Future Today Institute

On 11/08/2017, in 21st century, 24x7x365 access, 3D, A/V -- audio/visual, adult learning, analytics, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), bots, business, career development, change, changing business models, collaboration, colleges, communications, communities of practice, community colleges, computer science, corporate / business world, digital audio, digital learning, digital textbooks, education, education technology, elearning, emerging technologies, engineering, future, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, interactivity, internet, journalism, leadership, learning, learning ecosystem, legislatures / government / legal, lifelong learning, machine-to-machine communications, media/film, microlearning, Natural Language Processing (NLP), new media literacies, online learning, organizational change, pace of change, personalized/customized learning, platforms, podcasting, political science, social learning / networks, society, staying relevant, strategy, student-related, technologies for your home, technology (general), tools, trends, universities, user experience (UX), Virtual Reality (VR) / worlds / learning, vision/possibilities, visualizing information, voice recognition / voice enabled interfaces, workplace, by Daniel Christian

2018 Tech Trends For Journalism Report — from the Future Today Institute

Key Takeaways

2018 marks the beginning of the end of smartphones in the world’s largest economies. What’s coming next are conversational interfaces with zero-UIs. This will radically change the media landscape, and now is the best time to start thinking through future scenarios.
In 2018, a critical mass of emerging technologies will converge finding advanced uses beyond initial testing and applied research. That’s a signal worth paying attention to. News organizations should devote attention to emerging trends in voice interfaces, the decentralization of content, mixed reality, new types of search, and hardware (such as CubeSats and smart cameras).
Journalists need to understand what artificial intelligence is, what it is not, and what it means for the future of news. AI research has advanced enough that it is now a core component of our work at FTI. You will see the AI ecosystem represented in many of the trends in this report, and it is vitally important that all decision-makers within news organizations familiarize themselves with the current and emerging AI landscapes. We have included an AI Primer For Journalists in our Trend Report this year to aid in that effort.
Decentralization emerged as a key theme for 2018. Among the companies and organizations FTI covers, we discovered a new emphasis on restricted peer-to-peer networks to detect harassment, share resources and connect with sources. There is also a push by some democratic governments around the world to divide internet access and to restrict certain content, effectively creating dozens of “splinternets.”
Consolidation is also a key theme for 2018. News brands, broadcast spectrum, and artificial intelligence startups will continue to be merged with and acquired by relatively few corporations. Pending legislation and policy in the U.S., E.U. and in parts of Asia could further concentrate the power among a small cadre of information and technology organizations in the year ahead.
To understand the future of news, you must pay attention to the future of many industries and research areas in the coming year. When journalists think about the future, they should broaden the usual scope to consider developments from myriad other fields also participating in the knowledge economy. Technology begets technology. We are witnessing an explosion in slow motion.

Those in the news ecosystem should factor the trends in this report into their strategic thinking for the coming year, and adjust their planning, operations and business models accordingly.

2017 Tech Trends Annual Report — from the Future Today Institute; this is the first I’ve seen this solid report

Excerpts:

This year’s report has 159 trends.
This is mostly due to the fact that 2016 was the year that many areas of science and technology finally started to converge. As a result we’re seeing a sort of slow-motion explosion––we will undoubtedly look back on the last part of this decade as a pivotal moment in our history on this planet.
…
Our 2017 Trend Report reveals strategic opportunities and challenges for your organization in the coming year. The Future Today Institute’s annual Trend Report prepares leaders and organizations for the year ahead, so that you are better positioned to see emerging technology and adjust your strategy accordingly. Use our report to identify near-future business disruption and competitive threats while simultaneously finding new collaborators and partners. Most importantly, use our report as a jumping off point for deeper strategic planning.

Also see:

Emerging eLearning Tools and Platforms Improve Results — from learningsolutionsmag.com

Augmented and virtual reality offer ways to immerse learners in experiences that can aid training in processes and procedures, provide realistic simulations to deepen empathy and build communication skills, or provide in-the-workflow support for skilled technicians performing complex procedures.
Badges and other digital credentials provide new ways to assess and validate employees’ skills and mark their eLearning achievements, even if their learning takes place informally or outside of the corporate framework.
Chatbots are proving an excellent tool for spaced learning, review of course materials, guiding new hires through onboarding, and supporting new managers with coaching and tips.
Content curation enables L&D professionals to provide information and educational materials from trusted sources that can deepen learners’ knowledge and help them build skills.
eBooks, a relative newcomer to the eLearning arena, offer rich features for portable on-demand content that learners can explore, review, and revisit as needed.
Interactive videos provide branching scenarios, quiz learners on newly introduced concepts and terms, offer prompts for small-group discussions, and do much more to engage learners.
Podcasts can turn drive time into productive time, allowing learners to enjoy a story built around eLearning content.
Smartphone apps, available wherever learners take their phones or tablets, can be designed to offer product support, info for sales personnel, up-to-date information for repair technicians, and games and drills for teaching and reviewing content; the possibilities are limited only by designers’ imagination.
Social platforms like Slack, Yammer, or Instagram facilitate collaboration, sharing of ideas, networking, and social learning. Adopting social learning platforms encourages learners to develop their skills and contribute to their communities of practice, whether inside their companies or more broadly.
xAPI turns any experience into a learning experience. Adding xAPI capability to any suitable tool or platform means you can record learner activity and progress in a learning record store (LRS) and track it.

DevLearn Attendees Learn How to ‘Think Like a Futurist’ — from learningsolutionsmag.com

Excerpt:

How does all of this relate to eLearning? Again, Webb anticipated the question. Her response gave hope to some—and terrified others. She presented three possible future scenarios:

Everyone in the learning arena learns to recognize weak signals; they work with technologists to refine artificial intelligence to instill values. Future machines learn not only to identify correct and incorrect answers; they also learn right and wrong. Webb said that she gives this optimistic scenario a 25 percent chance of occurring.
Everyone present is inspired by her talk but they, and the rest of the learning world, do nothing. Artificial intelligence continues to develop as it has in the past, learning to identify correct answers but lacking values. Webb’s prediction is that this pragmatic optimistic scenario has a 50 percent chance of occurring.
Learning and artificial intelligence continue to develop on separate tracks. Future artificial intelligence and machine learning projects incorporate real biases that affect what and how people learn and how knowledge is transferred. Webb said that she gives this catastrophic scenario a 25 percent chance of occurring.

In an attempt to end on a strong positive note, Webb said that “the future hasn’t happened yet—we think” and encouraged attendees to take action. “To build the future of learning that you want, listen to weak signals now.”

Nearly all prospective students want a tech-savvy institution — from campustechnology.com by Joshua Bolkan

Excerpt:

Nearly nine in 10 college students — 87 percent — said it was important to them that the institutions they applied for were technologically savvy, according to a new survey from ed tech provider Ellucian.

The report, “Students Are Looking for Personalized Digital Experiences: Do Colleges Deliver?” is based on responses of 1,000 students, including 265 from two-year institutions and 735 from four-year schools, who were invited to take the survey online via email.

More than half of students surveyed, 58 percent, said that of all the companies and institutions they engage with, their college is the one least likely to have personalized their experience.

Also see:

From DSC:
With our students using Uber, Lyft, AirBnB, and other such personalized services from Amazon.com and others, expectations are now being impacted. That is, what they expect in terms of their learning experiences are being influenced from other areas of their every day lives. This impacts credibility, which impacts enrollments.

As Ellucian asserts:

For those who would minimize or outright discard the impacts that technologies have on higher education, or the impacts of — and relevance of — technologies within higher education, how are you going to deal with this tidal wave?

From Daniel S. Christian

For institutions of higher education: Some of the ways to respond to the new, exponential pace of change [Christian]

On 10/18/2017, in 21st century, adult learning, Amazon, analytics, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), Blockchain, bots, business, business side of he, career development, change, colleges, community colleges, consortiums, dangers of the status quo, Daniel S. Christian, data related items, digital learning, distance education, education reform, elearning, emerging technologies, expectations, experimentation, future, future of higher education, game-changing environment, global / globalization, higher education, human-computer interaction (HCI), ideas, innovation, interaction design, interface design, internet, leadership, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, machine-to-machine communications, Michigan, Mixed Reality (MR), online learning, organizational change, pace of change, parents/guardians, personalized/customized learning, platforms, real-world assignments, reinvent, society, staying relevant, strategy, streams of content, student-related, surviving, technology (general), traditional / tradition, trends, United States, universities, user experience (UX), user interface design, Virtual Reality (VR) / worlds / learning, vision/possibilities, by Daniel Christian

From DSC:
In Part I, I looked at the new, exponential pace of change that colleges, community colleges and universities now need to deal with – observing the enormous changes that are starting to occur throughout numerous societies around the globe. If we were to plot out the rate of change, we would see that we are no longer on a slow, steady, incremental type of linear pathway; but, instead, we would observe that we are now on an exponential trajectory (as the below graphic from sparks & honey very nicely illustrates).

How should colleges and universities deal with this new, exponential pace of change?

1) I suggest that you ensure that someone in your institution is lifting their gaze and peering out into the horizons, to see what’s coming down the pike. That person – or more ideally, persons – should also be looking around them, noticing what’s going on within the current landscapes of higher education. Regardless of how your institution tackles this task, given that we are currently moving at an incredibly fast pace, this trend analysis is very important. The results from this analysis should immediately be integrated into your strategic plan. Don’t wait 3-5 years to integrate these new findings into your plan. The new, exponential pace of change is going to reward those organizations who are nimble and responsive.

2) I recommend that you look at what programs you are offering and consider if you should be developing additional programs such as those that deal with:

Artificial Intelligence (Natural Language Processing, deep learning, machine learning, bots)
New forms of Human Computer Interaction such as Augmented Reality, Virtual Reality, and Mixed Reality
User Experience Design, User Interface Design, and/or Interaction Design
Big data, data science, working with data
The Internet of Things, machine-to-machine communications, sensors, beacons, etc.
Blockchain-based technologies/systems
The digital transformation of business
Freelancing / owning your own business / entrepreneurship (see this article for the massive changes happening now!)
…and more

3) If you are not already doing so, I recommend that you immediately move to offer a robust lineup of online-based programs. Why do I say this? Because:

Without them, your institution may pay a heavy price due to its diminishing credibility. Your enrollments could decline if learners (and their families) don’t think they will get solid jobs coming out of your institution. If the public perceives you as a dinosaur/out of touch with what the workplace requires, your enrollment/admissions groups may find meeting their quotas will get a lot harder as the years go on. You need to be sending some cars down the online/digital/virtual learning tracks. (Don’t get me wrong. We still need the liberal arts. However, even those institutions who offer liberal arts lineups will still need to have a healthy offering of online-based programs.)
Online-based learning methods can expand the reach of your faculty members while offering chances for individuals throughout the globe to learn from you, and you from them
Online-based learning programs can increase your enrollments, create new revenue streams, and develop/reach new markets
Online-based learning programs have been proven to offer the same learning gains – and sometimes better learning results than – what’s being achieved in face-to-face based classrooms
The majority of pedagogically-related innovations are occurring within the online/digital/virtual realm, and you will want to have built the prior experience, expertise, and foundations in order to leverage and benefit from them
Faculty take their learning/experiences from offering online-based courses back into their face-to-face courses
Due to the increasing price of obtaining a degree, students often need to work to help get them (at least part of the way) through school; thus, flexibility is becoming increasingly important and necessary for students
An increasing number of individuals within the K-12 world as well as the corporate world are learning via online-based means. This is true within higher education as well, as, according to a recent report from Digital Learning Compass states that “the number of higher education students taking at least one distance education course in 2015 now tops six million, about 30% of all enrollments.”
Families are looking very closely at their return on investments being made within the world of higher education. They want to see that their learners are being prepared for the ever-changing future that they will encounter. If people in the workforce often learn online, then current students should be getting practice in that area of their learning ecosystems as well.
As the (mostly) online-based Amazon.com is thriving and retail institutions such as Sears continue to close, people are in the process of forming more generalized expectations that could easily cross over into the realm of higher education. By the way, here’s how our local Sears building is looking these days…or what’s left of it.

4) I recommend that you move towards offering more opportunities for lifelong learning, as learners need to constantly add to their skillsets and knowledge base in order to remain marketable in today’s workforce. This is where adults greatly appreciate – and need – the greater flexibility offered by online-based means of learning. I’m not just talking about graduate programs or continuing studies types of programs here. Rather, I’m hoping that we can move towards providing streams of up-to-date content that learners can subscribe to at any time (and can drop their subscription to at any time). As a relevant side note here, keep your eyes on blockchain-based technologies here.

5) Consider the role of consortia and pooling resources. How might that fit into your strategic plan?

6) Consider why bootcamps continue to come onto the landscape. What are traditional institutions of higher education missing here?

7) And lastly, if one doesn’t already exist, form a small, nimble, innovative group within your organization — what I call a TrimTab Group — to help identify what will and won’t work for your institution.

Reflections on “Faculty Predict Virtual/Augmented/Mixed Reality Will Be Key to Ed Tech in 10 Years” [Kelly]

On 10/12/2017, in 3D, A/V -- audio/visual, attention, Augmented Reality (AR), Blockchain, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communications, community colleges, Daniel S. Christian, digital audio, digital learning, digital video, education technology, emerging technologies, engagement / engaging students, future, future of higher education, innovation, internet, IT in HE, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, Mixed Reality (MR), mobile learning, mobile technologies, Natural Language Processing (NLP), personalized/customized learning, platforms, smart classrooms, streams of content, student-related, teachers, teaching & learning, tools, United States, universities, videoconferencing, Virtual Reality (VR) / worlds / learning, wearables, web-based collaboration, by Daniel Christian

Faculty Predict Virtual/Augmented/Mixed Reality Will Be Key to Ed Tech in 10 Years — from campustechnology.com by Rhea Kelly
Faculty in our 2017 Teaching with Technology Survey believe tech will play a positive role in the future of higher education — but some technologies will be more important than others.

Excerpt:

What technologies do faculty think will be important in education over the next decade? The most popular answer to that question by far was virtual/augmented/mixed reality, garnering 81 percent of responses (it topped the list last year as well). Mobile devices and apps, 3D modeling/scanning/printing, adaptive/personalized learning and video/streaming all rounded out the top five.

From DSC:
Great to see several of these items made the list. I would also add:

The use of Natural Language Processing (NLP) to allow more voice-enabled and voice-driven applications
Learning agents/bots (for example, a learning-related bot could go find out the top 50-100 jobs that employers are hiring for and present a list of potential digital playlists from a variety of providers that would help potential employees be able to do the work in those positions)
Blockchain and the use of web-based learner profiles
Artificial Intelligence / cognitive computing (which could be argued is already mentioned in the item re: adaptive, personalized learning)
Moving towards providing up-to-date streams of content (for purposes of lifelong learning and microlearning)

Finally, it was great to see #9 on the list as I, too, believe that a next gen learning platform is needed:

100 Data and Analytics Predictions Through 2021 — from Gartner

From DSC:
I just wanted to include some excerpts (see below) from Gartner’s 100 Data and Analytics Predictions Through 2021 report. I do so to illustrate how technology’s impact continues to expand/grow in influence throughout many societies around the globe, as well as to say that if you want a sure thing job in the next 1-15 years, I would go into studying data science and/or artificial intelligence!

Excerpts:

As evidenced by its pervasiveness within our vast array of recently published Predicts 2017 research, it is clear that data and analytics are increasingly critical elements across most industries, business functions and IT disciplines. Most significantly, data and analytics are key to a successful digital business. This collection of more than 100 data-and-analytics-related Strategic Planning Assumptions (SPAs) or predictions through 2021, heralds several transformations and challenges ahead that CIOs and data and analytics leaders should embrace and include in their planning for successful strategies. Common themes across the discipline in general, and within particular business functions and industries, include:

Artificial intelligence (AI) is emerging as a core business and analytic competency. Beyond yesteryear’s hard-coded algorithms and manual data science activities, machine learning (ML) promises to transform business processes, reconfigure workforces, optimize infrastructure behavior and blend industries through rapidly improved decision making and process optimization.
Natural language is beginning to play a dual role in many organizations and applications as a source of input for analytic and other applications, and a variety of output, in addition to traditional analytic visualizations.
Information itself is being recognized as a corporate asset (albeit not yet a balance sheet asset), prompting organizations to become more disciplined about monetizing, managing and measuring it as they do with other assets. This includes “spending” it like cash, selling/licensing it to others, participating in emerging data marketplaces, applying asset management principles to improve its quality and availability, and quantifying its value and risks in a variety of ways.
Smart devices that both produce and consume Internet of Things (IoT) data will also move intelligent computing to the edge of business functions, enabling devices in almost every industry to operate and interact with humans and each other without a centralized command and control. The resulting opportunities for innovation are unbounded.
Trust becomes the watchword for businesses, devices and information, leading to the creation of digital ethics frameworks, accreditation and assessments. Most attempts at leveraging blockchain as a trust mechanism fail until technical limitations, particularly performance, are solved.

…

Education
Significant changes to the global education landscape have taken shape in 2016, and spotlight new and interesting trends for 2017 and beyond. “Predicts 2017: Education Gets Personal” is focused on several SPAs, each uniquely contributing to the foundation needed to create the digitalized education environments of the future. Organizations and institutions will require new strategies to leverage existing and new technologies to maximize benefits to the organization in fresh and
innovative ways.

By 2021, more than 30% of institutions will be forced to execute on a personalization strategy to maintain student enrollment.
By 2021, the top 100 higher education institutions will have to adopt AI technologies to stay competitive in research.

…

Artificial Intelligence
Business and IT leaders are stepping up to a broad range of opportunities enabled by AI, including autonomous vehicles, smart vision systems, virtual customer assistants, smart (personal) agents and natural-language processing. Gartner believes that this new general-purpose technology is just beginning a 75-year technology cycle that will have far-reaching implications for every industry. In “Predicts 2017: Artificial Intelligence,” we reflect on the near-term opportunities, and the potential burdens and risks that organizations face in exploiting AI. AI is changing the way in which organizations innovate and communicate their processes, products and services.

Practical strategies for employing AI and choosing the right vendors are available to data and analytics leaders right now.

By 2019, more than 10% of IT hires in customer service will mostly write scripts for bot interactions.
Through 2020, organizations using cognitive ergonomics and system design in new AI projects will achieve long-term success four times more often than others.
By 2020, 20% of companies will dedicate workers to monitor and guide neural networks.
By 2019, startups will overtake Amazon, Google, IBM and Microsoft in driving the AI economy with disruptive business solutions.
By 2019, AI platform services will cannibalize revenues for 30% of market-leading companies. “Predicts 2017: Drones”
By 2020, the top seven commercial drone manufacturers will all offer analytical software packages.
“Predicts 2017: The Reinvention of Buying Behavior in Vertical-Industry Markets”
By 2021, 30% of net new revenue growth from industry-specific solutions will include AI technology.

…

Advanced Analytics and Data Science
Advanced analytics and data science are fast becoming mainstream solutions and competencies in most organizations, even supplanting traditional BI and analytics resources and budgets. They allow more types of knowledge and insights to be extracted from data. To become and remain competitive, enterprises must seek to adopt advanced analytics, and adapt their business models, establish specialist data science teams and rethink their overall strategies to keep pace with the competition. “Predicts 2017: Analytics Strategy and Technology” offers advice on overall strategy, approach and operational transformation to algorithmic business that leadership needs to build to reap the benefits.

By 2018, deep learning (deep neural networks [DNNs]) will be a standard component in 80% of data scientists’ tool boxes.
By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.
By 2019, natural-language generation will be a standard feature of 90% of modern BI and analytics platforms.
By 2019, 50% of analytics queries will be generated using search, natural-language query or voice, or will be autogenerated.
By 2019, citizen data scientists will surpass data scientists in the amount of advanced analysis
produced.

By 2020, 95% of video/image content will never be viewed by humans; instead, it will be vetted by machines that provide some degree of automated analysis.

Through 2020, lack of data science professionals will inhibit 75% of organizations from achieving the full potential of IoT.

From DSC: Some reflections from the “2017 Workplace Learning Report ” from LinkedIn Learning

On 10/02/2017, in 21st century, bots, business, career development, change, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital learning, education technology, elearning, future, game-changing environment, higher education, human-computer interaction (HCI), ideas, leadership, learning, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, Microsoft, online learning, online media, personalized/customized learning, platforms, reinvent, RSS, social learning / networks, society, staying relevant, strategy, streams of content, student-related, surviving, tools, training / L&D, trends, ubiquitous learning, universities, vendors, vision/possibilities, workplace, by Daniel Christian

From DSC:
Getting employees to make time for L&D needs to be based upon “what’s in it for them” — i.e., the main role of the L&D Team/Department should be to create the platforms and means by which employees can learn whatever they need to learn in order to do their jobs well (as well as to learn the skills necessary to move into those new areas that they’ve been wanting to move into). They’re going to find ways to do this anyway, why not give them the tools/knowledge of the tools and the platforms in order to better facilitate that learning to happen at a quicker pace?

An L&D Team could provide content curation services themselves and/or they could connect the employees with knowledgeable people. For example, give employees the key people to connect with who are doing their jobs really well.

For example, the L&D Team could maintain and provide a list of the top 10*:

Internal Sales employees to connect with and learn from, as well as the top 10 external Sales people to connect with and learn from (these people may or may not be in the same industry).
Internal Customer Service employees to connect with and learn from, as well as the top 10 external Customer Service people to connect with and learn from (these people may or may not be in the same industry).
Internal Marketing employees to connect with and learn from, as well as the top 10 external Marketing people to connect with and learn from (these people may or may not be in the same industry).
Etc.

* Or top 5, or top 50, or top whatever # that the L&D Team
thinks would be most beneficial to the organization

I think each employee in the workforce needs to know about the power of RSS feeds and feed aggregators such as Feedly. In fact, I advocate that same approach for most every student in middle school, high school, and college as well. We need to be able to connect with others and tap into streams of content being produced — as well as contribute to those streams of content as well. Blogs, Twitter, LinkedIn, CMSs/LMSs, etc. can provide beneficial streams of content.

“And learners are evolving at a quicker pace than the learning programs that support them.”

Also, based upon the above image, I find it interesting that the corporate L&D teams are struggling with what higher education has been struggling with as well — i.e., predicting which skills will be needed and responding as quickly as possible in order to develop the necessary learning modules/RSS feeds/content/etc. to remain up-to-date. Actually, I suspect that it’s not that the learners are evolving at a quicker pace than the learning programs that support them, rather its the required skills and needs of the positions that are evolving at a quicker pace than the learning programs that support them.

Our institutions and our L&D Departments are simply not used to this pace of change. No one is.

We need better mechanisms of dealing with this new pace of change.

One last random thought here…perhaps a portion of the L&D department will morph into creating bots for internal employees, helping answer questions at the point of need.

What if we were to tie in Google’s new Job Discovery service in w/ a next gen learning platform? [Christian]

On 09/27/2017, in 21st century, 24x7x365 access, A/V -- audio/visual, adult learning, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, business side of he, career development, computer science, corporate / business world, cost of getting a degree, Daniel S. Christian, data related items, digital learning, distance education, education technology, elearning, emerging technologies, Facebook / Meta Platforms, future of higher education, game-changing environment, global / globalization, Google, higher education, human-computer interaction (HCI), ideas, innovation, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, more voice more choice more control, online learning, online media, online tutoring, personalized/customized learning, platforms, professional development, real-world assignments, reinvent, society, staying relevant, streams of content, student-related, surviving, technologies for your home, tools, TVs, vendors, vision/possibilities, web-based collaboration, workplace, by Daniel Christian

Google’s jobs AI service hits private beta, now works in 100 languages — from venturebeat.com by Blair Hanley Frank

Excerpt:

Google today announced the beta release of its Cloud Job Discovery service, which uses artificial intelligence to help customers connect job vacancies with the people who can fill them.

Formerly known as the Cloud Jobs API, the system is designed to take information about open positions and help job seekers take better advantage of it. For example, Cloud Job Discovery can take a plain language query and help translate that to the specific jargon employers use to describe their positions, something that can be hard for potential employees to navigate.

As part of this beta release, Google announced that Cloud Job Discovery is now designed to work with applicant-tracking systems and staffing agencies, in addition to job boards and career site providers like CareerBuilder.

It also now works in 100 languages. While the service is still primarily aimed at customers in the U.S., some of Google’s existing clients need support for multiple languages. In the future, the company plans to expand the Cloud Job Discovery service internationally, so investing in language support now makes sense going forward.

From DSC:
Now tie this type of job discovery feature into a next generation learning platform, helping people identify which skills they need to get jobs in their local area(s). Provide a list of courses/modules/RSS feeds to get them started. Allow folks to subscribe to constant streams of content and unsubscribe to them at any time as well.

We MUST move to lifelong, constant learning via means that are highly accessible, available 24×7, and extremely cost effective. Blockchain-based technologies will feed web-based learner profiles, which each of us will determine who can write to our learning profile and who can review it as well.

Addendum on 9/29/17:

Facebook partners with ZipRecruiter and more aggregators as it ramps up in jobs — from techcrunch.com by Ingrid Lunden
Excerpt:
Facebook has made no secret of its wish to do more in the online recruitment market — encroaching on territory today dominated by LinkedIn, the leader in tapping social networking graphs to boost job-hunting. Today, Facebook is taking the next step in that process.
Facebook will now integrate with ZipRecruiter — an aggregator that allows those looking to fill jobs to post ads to many traditional job boards, as well as sites like LinkedIn, Google and Twitter — to boost the number of job ads available on its platform targeting its 2 billion monthly active users.
The move follows Facebook launching its first job ads earlier this year, and later appearing to be interested in augmenting that with more career-focused features, such as a platform to connect people looking for mentors with those looking to offer mentorship.

Where does personalized learning end and special education begin? [Baker]

On 09/25/2017, in accessibility / UDL, education, education reform, ideas, K-12 related, learning, neurodivergent/special needs, pedagogy, personalized/customized learning, student-related, teachers, teaching & learning, by Daniel Christian

Where does personalized learning end and special education begin? — from edsurge.com by Stefanina Baker

Excerpt:

It’s the start of a new school year and the air is full of promise. I’ve set up my room, made my copies and attended all of my meetings. As students flood into the school, I’m charged with positive energy and hope.

But as I peruse my class list and the academic data that accompanies it, anxiety sets in. I’ve committed to personalizing learning, but how can I do that for every student in my inclusion classroom when the range of abilities among them is so vast?

This is my third year teaching at William Penn High School in the Colonial School District in New Castle, Delaware. Dually certified in special education and English Language Arts, I teach an ELA inclusion class to 11th and 12th graders, which means I serve students with and without Individualized Education Plans (IEPs) in the same setting. Additionally, I manage a caseload of 18 students with IEPs, and enter goals and progress for over 60 other students.

A core element of my job has always been to consider how I can tailor instruction to meet the needs of each student—that’s the crux of special education. IEPs are legal documents designed to include specific goals, objectives and strategies for how to modify instruction to meet each student’s needs. Personalized learning doesn’t seem that far off—but meeting the needs of every student in an inclusion class when some have IEPs and some do not can get hairy.

It also raises some questions around where special education practices and personalized learning intersect.

Does personalized learning mean every student gets an IEP? Does it mean that students who had an IEP no longer need one because now every learner is receiving tailored instruction? Can I use the same measuring tools to gauge growth for all students? Should it be different than how I was teaching before?

I’d like to see special education take a front seat in conversations about personalized learning.

The vast majority of lessons in K-12 and lectures in higher education should be recorded. Here’s why. [Christian]

On 09/20/2017, in 21st century, 24x7x365 access, A/V -- audio/visual, colleges, community colleges, content development, aggregation, repositories, Daniel S. Christian, digital learning, education, education reform, education technology, higher education, ideas, K-12 related, learning, learning ecosystem, multimedia, online learning, online media, parents/guardians, pedagogy, personalized/customized learning, platforms, productivity / tips and tricks, RSS, streams of content, student-related, teachers, teaching & learning, technologies for your home, tools, TVs, United States, universities, user experience (UX), using teams, vendors, youth, by Daniel Christian

From DSC:
The vast majority of the lessons being offered within K-12 and the lectures (if we’re going to continue to offer them) within higher education should be recorded.

Why do I say this?

Well…first of all…let me speak as a parent of 3 kids, one of whom requires a team of specialists to help her learn. When she misses school because she’s out sick, it’s a major effort to get her caught up. As a parent, it would be soooooo great to log into a system and obtain an updated digital playlist of the lessons that she’s missed. She and I could click on the links to the recordings in order to see how the teacher wants our daughter to learn concepts A, B, and C. We could pause, rewind, fast forward, and replay the recording over and over again until our daughter gets it (and I as a parent get it too!).

I realize that I’m not saying anything especially new here, but we need to do a far better job of providing our overworked teachers with more time, funding, and/or other types of resources — such as instructional designers, videographers and/or One-Button Studios, other multimedia specialists, etc. — to develop these recordings. Perhaps each teacher — or team — could be paid to record and contribute their lessons to a pool of content that could be used over and over again. Also, the use of RSS feeds and content aggregators such as Feedly could come in handy here as well. Parents/learners could subscribe to streams of content.

Such a system would be a huge help to the teachers as well. They could refer students to these digital playlists as appropriate — having updated the missing students’ playlists based on what the teacher has covered that day (and who was out sick, at another school-sponsored event, etc.). They wouldn’t have to re-explain something as many times if they had recordings to reference.

—–

Also, within the realm of higher education, having recordings/transcripts of lectures and presentations would be especially helpful to learners who take more time to process what’s being said. And while that might include ESL learners here in the U.S., such recordings could benefit the majority of learners. From my days in college, I can remember trying to write down much of what the professor was saying, but not having a chance to really process much of the information until later, when I looked over my notes. Finally, learners who wanted to review some concepts before a mid-term or final would greatly appreciate these recordings.

Again, I realize this isn’t anything new. But it makes me scratch my head and wonder why we haven’t made more progress in this area, especially at the K-12 level…? It’s 2017. We can do better.

Some relevant tools here include:

One Button Studio
Swivl
Double Robotics Telepresence Robots (especially helpful for learners who need to be at home or in a hospital for a while)
Echo 360
Panopto
Mediasite
Blackboard Collaborate
Explain Everything
ScreenFlow (on the Mac); also see Telestream‘s other products as well
Educreations
Adobe Captivate
Several products from Techsmith
…and more

“Personalized learning seeks to accelerate student learning by tailoring the instructional environment — what, when, how, and where students learn — to address the individual needs, skills, and interests of each student. Students can take ownership of their own learning, while also developing deep, personal connections with each other, their teachers, and other adults.”

WE’VE ALWAYS HAD FOUR STRONG BELIEFS:

Students’ ownership of their learning is critical to long-term success.
When it comes to learning, students should get more of what they need exactly when they need it.
Ensuring equity requires getting each student what he or she needs to succeed.
It is possible to redesign schools to work much better for students and teachers.

We do not believe that there is yet definitive proof that personalized learning works better than other models. Ultimately, we hope that personalized learning will improve life outcomes for students, with clear evidence to support its efficacy. In the interim, we look to traditional academic measures (e.g. state assessments or assessments like NWEA MAP), to provide early signs of the efficacy of personalized learning.

Despite the lack of conclusive proof, there are two important data sets that we find compelling. First, RAND conducted a study of 11,000 students and 62 personalized learning schools nationally and found that “students made significant gains in mathematics and reading overall, and in elementary and middle schools [1].” More recently, RAND published the third of its studies of personalized learning. It again found statistically significant gains in math, however, the effect size had decreased notably [2].

Future Forward: The Next Twenty Years of Higher Education [Blackboard, w/ a variety of contributors]

On 09/08/2017, in 21st century, active learning, adjunct faculty, adult learning, Artificial Intelligence/Agents/LLMs/and Related, Augmented Reality (AR), change, changing business models, CMS/LMS, colleges, community colleges, content development, aggregation, repositories, cost of getting a degree, digital learning, distance education, education, education technology, educational games / serious games, elearning, emerging technologies, face-to-face, faculty/staff, future, future of higher education, game-changing environment, heutagogy, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, internet, leadership, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning theories, lifelong learning, microlearning, more voice more choice more control, new business models, online learning, pace of change, pedagogy, personalized/customized learning, platforms, student-related, teaching & learning, technology (general), tools, universities, user experience (UX), vendors, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, web-based collaboration, by Daniel Christian

Future Forward: The Next Twenty Years of Higher Education — from Blackboard with a variety of contributors

Excerpts:

As you read their reflections you’ll find several themes emerge over and over:

Our current system is unsustainable and ill-suited for a globally connected world that is constantly changing.
Colleges and universities will have to change their current business model to continue to thrive, boost revenue and drive enrollment.
The “sage on the stage” and the “doc in the box” aren’t sustainable; new technologies will allow faculty to shift their focus on the application of learning rather than the acquisition of knowledge.
Data and the ability to transform that data into action will be the new lifeblood of the institution.
Finally, the heart and soul of any institution are its people. Adopting new technologies is only a small piece of the puzzle; institutions must also work with faculty and staff to change institutional culture.

Some quotes are listed below.

“What’s more, next-generation digital learning environments must bridge the divide between the faculty-directed instructivist model our colleges and universities have always favored and the learner-centric constructivist paradigm their students have come to expect and the economy now demands.”

…

It will be at least 10 years before systems such as this become the standard rather than the exception. Yet to achieve this timeline, we will have to begin fostering a very different campus culture that embraces technology for its experiential value rather than its transactional expediency, while viewing education as a lifelong pursuit rather than a degree-driven activity.

Susan Aldridge

Q: What are the biggest challenges facing higher education right now?

A: I think it is a difficult time for decisionmakers to know how to move boldly forward. It’s almost funny, nobody’s doing five-year strategic plans anymore. We used to do ten-year plans, but now it’s “What’s our guiding set of principles and then let’s sort of generally go towards that.” I think it’s really hard to move an entire institution, to know how to keep it sustainable and serving your core student population. Trying to figure out how to keep moving forward is not as simple as it used to be when you hired faculty and they showed up in the classroom. It’s time for a whole new leadership model. I’m not sure what that is, but we have to start reimagining our organizations and our institutions and even our leadership.

Marie Cini

One of the things that is frustrating to me is the argument that online learning is just another modality. Online learning is much more than that. It’s arguably the most transformative development since the G.I. Bill and, before that, the establishment of land-grant universities.
…
I don’t think we should underestimate the profound impact online education has had and will continue to have on higher education. It’s not just another modality; it’s an entirely new industry.

Robert Hansen

From DSC:
And I would add (to Robert’s quote above) that not since the printing press was invented close to 500 years ago have we seen such an enormously powerful invention as the Internet. To bypass the Internet and the online-based learning opportunities that it can deliver is to move into a risky, potentially dangerous future. If your institution is doing that, your institution’s days could be numbered. As we move into the future — where numerous societies throughout the globe will be full of artificial intelligence, big data, robotics, algorithms, business’ digital transformations, and more — your institutions’ credibility could easily be at stake in a new, increasingly impactful way. Parents and students will want to know that there’s a solid ROI for them. They will want to know that a particular college or university has the foundational/core competencies and skills to prepare the learner for the future that the learner will encounter.

Q: What are the biggest challenges facing higher education right now?

A: I think the biggest challenge is the stubborn refusal of institutions to acknowledge that the 20th century university paradigm no longer works, or at least it doesn’t work anymore for the majority of our institutions. I’m not speaking on behalf of our members, but I think it’s fair to say that institutions are still almost entirely faculty-centered and not market-driven. Faculty, like so many university leaders today who come from faculty ranks, are so often ill-equipped to compete in the Wild West that we’re seeing today, and it’s not their fault. They’re trained to be biologists and historians and philosophers and musicians and English professors, and in the past there was very little need to be entrepreneurial. What’s required of university leadership now looks very much like what’s required in the fastpaced world of private industry.

…

If you are tuition dependent and you haven’t figured out how to serve the adult market yet, you’re in trouble.

Robert Hansen

It’s not just enough to put something online for autodidacts who already have the time, energy, and prior skills to be able to learn on their own. You really need to figure out how to embed all the supports that a student will need to be successful, and I don’t know if we’ve cracked that yet.

Amy Laitinen

The other company is Amazon. Their recent purchase of Whole Foods really surprised everybody. Now you have a massive digital retailer that has made billions staying in the online world going backwards into brick-and-mortar. I think if you look at what you can do on Amazon now, who’s to say in three years or five years, you won’t say, “You know what, I want to take this class. I want to purchase it through Amazon,” and it’s done through Amazon with their own LMS? Who’s to say they’re not already working on it?

Justin Louder

We are focused on four at Laureate. Probably in an increasing order of excitement to me are game-based learning (or gamification), adaptive learning, augmented and virtual reality, and cognitive tutoring.

Darrell Luzzo

I would wave my hand and have people lose their fear of change and recognize that you can innovate and do new things and still stay true to the core mission and values. My hope is that we harness our collective energy to help our students succeed and become fully engaged citizens.

Felice Nudelman

“Learning is leaving the (school) building” — and other items from Will Richardson & Bruce Dixon

On 09/01/2017, in 21st century, active learning, attention, change, collaboration, communications, communities of practice, dangers of the status quo, digital learning, education, education reform, education technology, engagement / engaging students, face-to-face, game-changing environment, generational differences, ideas, innovation, internet, K-12 related, leadership, learning, learning ecosystem, legislatures / government / legal, love of learning, more voice more choice more control, motivation, pace of change, parents/guardians, participation, passions, pedagogy, personalized/customized learning, real-world assignments, social learning / networks, society, staying relevant, story, storytelling, strategy, student-related, surviving, teachers, teaching & learning, technology (general), traditional / tradition, United States, user experience (UX), vision/possibilities, web-based collaboration, webinars, youth, by Daniel Christian

From DSC:
I appreciated hearing the perspectives from Bruce Dixon and Will Richardson this morning, as I listed to a webinar that they recently offered. A few key takeaways for me from that webinar — and with a document that they shared — were:

The world has fundamentally changed. (Bruce and Will also mentioned the new pace of change; i.e., that it’s much faster.)
We need to have more urgency about the need to reimagine school, not to try to improve the existing model.
“Because of the advent of the Web and the technologies we use to access it, learning is, in a phrase, leaving the (school) building.”
There is a newfound capacity to take full control of one’s own learning; self-determined learning should be at the center of students’ and teachers’ work; co-constructed curriculum
And today, at a moment when learners of all ages have never had more agency over their own learning, schools must unlearn centuries old mindsets and practices and relearn them in ways that truly will serve every child living in the modern, connected world.
Will and Bruce believe that every educator — and district for that matter — should articulate their own “principles of learning”
Beliefs about how kids learn (powerfully and deeply) need to be articulated and consistently communicated and lived out
Everything we do as educators, administrators, etc. tells a story. What stories are we telling? (For example, what does the signage around your school building say? Is it about compliance? Is is about a love of learning? Wonder? What does the 20′ jumbo tron say about priorities? Etc.)
Bruce and Will covered a “story audit” and how to do one

“Learning is, in a phrase, leaving the (school) building.”

Richardson & Dixon

Also see:

These educators have decades worth of experience. They are pulse-checking their environments. They want to see students thrive both now and into the future. For these reasons, at least for me, their perspectives are highly worth reflecting upon.

A New Kind of Classroom: No Grades, No Failing, No Hurry [Spencer]

On 08/14/2017, in assessment, competency-based learning/education, education, education reform, education technology, ideas, innovation, K-12 related, online learning, participation, personalized/customized learning, United States, by Daniel Christian

A New Kind of Classroom: No Grades, No Failing, No Hurry — from nytimes.com by Kyle Spencer

Excerpt:

Moheeb is part of a new program that is challenging the way teachers and students think about academic accomplishments, and his school is one of hundreds that have done away with traditional letter grades inside their classrooms. At M.S. 442, students are encouraged to focus instead on mastering a set of grade-level skills, like writing a scientific hypothesis or identifying themes in a story, moving to the next set of skills when they have demonstrated that they are ready. In these schools, there is no such thing as a C or a D for a lazily written term paper. There is no failing. The only goal is to learn the material, sooner or later.

For struggling students, there is ample time to practice until they get it. For those who grasp concepts quickly, there is the opportunity to swiftly move ahead. The strategy looks different from classroom to classroom, as does the material that students must master. But in general, students work at their own pace through worksheets, online lessons and in small group discussions with teachers. They get frequent updates on skills they have learned and those they need to acquire.

Mastery-based learning, also known as proficiency-based or competency-based learning, is taking hold across the country. Vermont and Maine have passed laws requiring school districts to phase in the system. New Hampshire is adopting it, too, and piloting a statewide method of assessment that would replace most standardized tests. Ten school districts in Illinois, including Chicago’s, are testing the approach. In 2015, the Idaho State Legislature approved 19 incubator programs to explore the practice.

More than 40 schools in New York City — home to the largest school district in the country, with 1.1 million students — have adopted the program. But what makes that unusual is that schools using the method are doing so voluntarily, as part of a grass-roots movement.

Amazon’s Alexa passes 15,000 skills, up from 10,000 in February [Perez]

On 07/21/2017, in 24x7x365 access, Amazon, Artificial Intelligence/Agents/LLMs/and Related, Daniel S. Christian, human-computer interaction (HCI), ideas, learning, learning agents, learning ecosystem, learning preferences, lifelong learning, Natural Language Processing (NLP), online media, online tutoring, personalized/customized learning, platforms, voice recognition / voice enabled interfaces, by Daniel Christian

Amazon’s Alexa passes 15,000 skills, up from 10,000 in February — from techcrunch.com by Sarah Perez

Excerpt:

Amazon’s Alexa voice platform has now passed 15,000 skills — the voice-powered apps that run on devices like the Echo speaker, Echo Dot, newer Echo Show and others. The figure is up from the 10,000 skills Amazon officially announced back in February, which had then represented a 3x increase from September.

The new 15,000 figure was first reported via third-party analysis from Voicebot, and Amazon has now confirmed to TechCrunch that the number is accurate.

According to Voicebot, which only analyzed skills in the U.S., the milestone was reached for the first time on June 30, 2017. During the month of June, new skill introductions increased by 23 percent, up from the less than 10 percent growth that was seen in each of the prior three months.

The milestone also represents a more than doubling of the number of skills that were available at the beginning of the year, when Voicebot reported there were then 7,000 skills. That number was officially confirmed by Amazon at CES.

From DSC:
Again, I wonder…what are the implications for learning from this new, developing platform?

From DSC:
I thought the article below was a good one. But I’m not sure I arrived at the same conclusion. Rather than putting the business of leadership & development training squarely on the shoulders of team leaders, I would put it on each individual employee and inform/empower them to seek out what works best for them in fulfilling their role.

The L&D team can work with introducing the best tools and examples of streams of content to tap into for any given role or topic.

I’m thinking here of tools like Twitter, streams of content from LinkedIn or from relevant blogs and websites. The team leaders can follow up with their team members and check in with them to see how things are going. If an employee says, “I don’t know who to connect with or follow” then perhaps the team leader can say, I’ve found these particular people, blogs, websites, streams of content from LinkedIn (or other sources) to be effective for what we do within our organization. Introduce them to communities of practice and/or to other individuals that do X, Y or Z really well.

It brings in the social element that this article discusses, but it also serves each individual’s best interests — each one of us needs to know how and where to keep learning. If it’s in their best interests to keep learning, then give them the tools and potential streams of content to tap into. Give them:

Let them own it. They’re likely creating their own learning pathways anyway. L&D become a consulting organization. L&D can consult with each group (or even individual employees) re: potential streams of content and possible/effective connections for that group (or individual).

Revive. — from revive.zaglearning.com

How enterprise learning for leadership and team development is tripping up human potential, and slowly sending the L&D brand into irrelevance. This is the story of how to save it, step by radical step.

Excerpts:

Over 18 months of research with 65 one-on-one interviews, 511 managers surveyed, and 900 teams representing 8K people, we witnessed the unintentional damage: marginalized learning and development people (L&D), learners who see leadership and team development as a necessary but random and usually disappointing transaction, and executives who line-item “soft skills” training (labeled decades ago by, no surprise, a hard-skills proponent) as a tax or necessary benefit, as if it were a dental plan.

If you’re curious, it can’t help but spark a few questions:

How can something so strategically important be so realistically unimportant?

How did L&D pros, who make such a compelling psychological and organizational case for the most pivotal kind of learning, get so minimized and, in the process, drag down human potential and the social intelligence of corporate culture?

How are smart, passionate L&D people who are in it for the greater good—and not the big payday—getting stuck with a brand that’s as sexy as K-Mart?

The problems are systemic, and the curiosity and ambition to fix them have received as little attention as any problem in enterprise history.

So, what’s the big switch? Learning for leadership and team development doesn’t belong with L&D. It belongs squarely with the team leader, the person who is 70% of the variance in her team’s engagement. Learning belongs fundamentally, not loosely, where it’s always in context and relevant: the leader and her team.

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