emerging technologies

I’m thinking that a global, inexpensive, next gen learning platform will enable/integrate/address some of this. [Christian]

On 12/30/2019, in 21st century, 24x7x365 access, A/V -- audio/visual, adult learning, career development, change, changing business models, cloud-based computing / apps / other cloud-related, colleges, community colleges, corporate / business world, corporate universities / corporate training, cost of getting a degree, Daniel S. Christian, elearning, emerging technologies, future, future of higher education, game-changing environment, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, internet, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning preferences, lifelong learning, more voice more choice more control, New "Amazon.com" of Higher Education, online learning, online tutoring, pace of change, personalized/customized learning, platforms, professional development, reinvent, second screen apps, smart/connected TV, society, staying relevant, student-related, surviving, tools, training / L&D, trends, ubiquitous learning, universities, Virtual Reality (VR) / worlds / learning, voice recognition / voice enabled interfaces, web-based collaboration, webinars, workplace, by Daniel Christian

DC: I’m thinking that a global, inexpensive, next gen learning platform will enable/integrate/address some of this…such as the item about stackable credits. 4 ex, I could see constantly morphing digital playlists/courses to provide up-to-date curricula.
https://t.co/ZGPAgqycRH

— Daniel Christian (@dchristian5) December 30, 2019

Companies Say Blockchain Could Have Prevented College Admissions Scandal [Young]

On 12/28/2019, in Blockchain, colleges, community colleges, credentialing, emerging technologies, platforms, society, tools, United States, universities, by Daniel Christian

Companies Say Blockchain Could Have Prevented College Admissions Scandal — from edsurge.com by Jeff Young

Excerpt:

One of the most eye-catching aspects of the recent Varsity Blues admissions scandal was that fake athletic profiles were created for students to help them get into highly-selective colleges through so-called “side doors.”

Now, several companies that sell student-record systems based on blockchain—the technology behind Bitcoin—are pitching their products as a way to prevent that kind of fraudulent record tampering in the future.

Trends to Watch in 2020

On 12/27/2019, in analytics, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, career development, cloud-based computing / apps / other cloud-related, computer science, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, emerging technologies, entrepreneurship, ethics, future, health, human-computer interaction (HCI), innovation, intelligent systems, internet, law schools, legislatures / government / legal, morals/values, Natural Language Processing (NLP), pace of change, platforms, professional development, programming, the downsides of how people use tech, tools, training / L&D, trends, UK, United States, voice recognition / voice enabled interfaces, by Daniel Christian

7 Artificial Intelligence Trends to Watch in 2020 — from interestingengineering.com by Christopher McFadden

Excerpts:

Per this article, the following trends were listed:

Computer Graphics will greatly benefit from AI
Deepfakes will only get better, er, worse
Predictive text should get better and better
Ethics will become more important as time goes by
Quantum computing will supercharge AI
Facial recognition will appear in more places
AI will help in the optimization of production pipelines

Also, this article listed several more trends:

According to sources like The Next Web, some of the main AI trends for 2020 include:

The use of AI to make healthcare more accurate and less costly
Greater attention paid to explainability and trust
AI becoming less data-hungry
Improved accuracy and efficiency of neural networks
Automated AI development
Expanded use of AI in manufacturing
Geopolitical implications for the uses of AI

Artificial Intelligence offers great potential and great risks for humans in the future. While still in its infancy, it is already being employed in some interesting ways.

According to sources like Forbes, some of the next “big things” in technology include, but are not limited to:

Blockchain
Blockchain As A Service
AI-Led Automation
Machine Learning
Enterprise Content Management
AI For The Back Office
Quantum Computing AI Applications
Mainstreamed IoT

Also see:

Artificial intelligence predictions for 2020: 16 experts have their say — from verdict.co.uk by Ellen Daniel

Excerpts:

Organisations will build in processes and policies to prevent and address potential biases in AI
Deepfakes will become a serious threat to corporations
Candidate (and employee) care in the world of artificial intelligence
AI will augment humans, not replace them
Greater demand for AI understanding
Ramp up in autonomous vehicles
To fully take advantage of AI technologies, you’ll need to retrain your entire organisation
Voice technologies will infiltrate the office
IT will run itself while data acquires its own DNA
The ethics of AI
Health data and AI
AI to become an intrinsic part of robotic process automation (RPA)
BERT will open up a whole new world of deep learning use cases

The hottest trend in the industry right now is in Natural Language Processing (NLP). Over the past year, a new method called BERT (Bidirectional Encoder Representations from Transformers) has been developed for designing neural networks that work with text. Now, we suddenly have models that will understand the semantic meaning of what’s in text, going beyond the basics. This creates a lot more opportunity for deep learning to be used more widely.

Don’t trust AI until we build systems that earn trust [Marcus]

On 12/21/2019, in Artificial Intelligence/Agents/LLMs/and Related, emerging technologies, engineering, ethics, innovation, law schools, legal technologies, legislatures / government / legal, mathematics, morals/values, platforms, society, technology (general), the downsides of how people use tech, trends, United States, by Daniel Christian

Don’t trust AI until we build systems that earn trust — from economist.com
Progress in artificial intelligence belies a lack of transparency that is vital for its adoption, says Gary Marcus, coauthor of “Rebooting AI”

Excerpts:

Mr Marcus argues that it would be foolish of society to put too much stock in today’s AI techniques since they are so prone to failures and lack the transparency that researchers need to understand how algorithms reached their conclusions.
…
As part of The Economist’s Open Future initiative, we asked Mr Marcus about why AI can’t do more, how to regulate it and what teenagers should study to remain relevant in the workplace of the future.

Trustworthy AI has to start with good engineering practices, mandated by laws and industry standards, both of which are currently largely absent. Too much of AI thus far has consisted of short-term solutions, code that gets a system to work immediately, without a critical layer of engineering guarantees that are often taken for granted in other field. The kinds of stress tests that are standard in the development of an automobile (such as crash tests and climate challenges), for example, are rarely seen in AI. AI could learn a lot from how other engineers do business.

The assumption in AI has generally been that if it works often enough to be useful, then that’s good enough, but that casual attitude is not appropriate when the stakes are high. It’s fine if autotagging people in photos turns out to be only 90 percent reliable—if it is just about personal photos that people are posting to Instagram—but it better be much more reliable when the police start using it to find suspects in surveillance photos.

Some of the emerging trends 2020 will bring in educational technology [Borkowski]

On 12/21/2019, in active learning, Artificial Intelligence/Agents/LLMs/and Related, CMS/LMS, content development, aggregation, repositories, digital learning, education, education technology, educational games / serious games, emerging technologies, engagement / engaging students, experimentation, future, global / globalization, human-computer interaction (HCI), innovation, intelligent systems, intelligent tutoring, interactivity, interface design, K-12 related, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, more voice more choice more control, neurodivergent/special needs, online learning, personalized/customized learning, platforms, STEAM-related, student teaching/teacher education, student-related, teaching & learning, teaching online, trends, by Daniel Christian

Below are some thoughts from Michal Borkowski, CEO and Co-Founder of Brainly, regarding some emerging edtech-related trends for 2020.

2020 is coming at us fast, and it’s bringing a haul of exciting EdTech trends along with it. A new decade means new learning opportunities created to cater to the individual rather than a collective hive. There are more than one or two ways of learning — by not embracing all of the ways to teach, we risk leaving students behind in subjects they may need extra help in.

Michal Borkowski, CEO and Co-Founder of Brainly– the world’s largest online learning platform with 150 million monthly users in 35 countries– has his finger on the pulse of global education trends. He was selected to speak at Disrupt Berlin, the world’s leading authority in debuting revolutionary startups and technologies, this year and has some insightful predictions on the emerging trends 2020 will bring in EdTech.

Customized learning via AI
AI systems with customizable settings will allow students to learn based on their personal strengths and weaknesses. This stylized learning takes into account that not every student absorbs information in the same way. In turn, it helps teachers understand what each individual student needs, spend more time teaching new material, and receive higher classroom results.
Responsible technological integration
Students today are more fluent in technology than older generations. Integrating tech through digital resources, textbooks, game-style lessons, and interactive learning are efficient ways to captivate students and teach them responsible usage of technology.
Expansive peer-to-peer learning
Allowing students access to a platform where they can view different student’s educational interpretations, and one specific perspective may help information click, is invaluable. These learning platforms break down barriers, encourage active learning anywhere, and cultivate a sense of community between students all over the world.
From STEM to STEAM
Science, technology, engineering, and math curriculums have been the major educational focus of the decade, but 2020 will see more integration of classical liberal arts into educational modules, turning STEM into STEAM. Incorporating the arts into a tech-based curriculum enables students to create important connections to the world and allows them to have a well-rounded education.
Options in learning environments
Who says learning has to take place in a classroom? Advancements in EdTech has provided new and exciting avenues where educators can experiment. Grade and high school level teachers are experimenting with webinars, online tutorials, and other forms of tech-based instruction to connect to students in environments where they are more inclined to learn.

2020 is the year that education forms itself around each student’s individual needs rather than leaving kids behind who don’t benefit from traditional instruction.

Coming down the pike: A next generation, global learning platform [Christian]

On 12/19/2019, in 21st century, 24x7x365 access, A/V -- audio/visual, active learning, adult learning, analytics, Artificial Intelligence/Agents/LLMs/and Related, assessment, attention, blended learning, Bring your own device (BYOD), business side of he, career development, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communities of practice, community colleges, competency-based learning/education, consortiums, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, cost of getting a degree, Cost of legal services - including access, credentialing, dangers of the status quo, Daniel S. Christian, data related items, digital audio, digital learning, digital storytelling, disruption, distance education, e-publishing related items (EPUB and more), education, education reform, education technology, educational games / serious games, elearning, emerging technologies, engagement / engaging students, entrepreneurship, formal learning, future, future of higher education, game-changing environment, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, informal learning, innovation, intelligent systems, intelligent tutoring, internet, languages and translation, law schools, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, library / librarians, lifelong learning, media/film, microlearning, mobile technologies, MOOCs -- Massive Open Online Courses, more voice more choice more control, multimedia, Natural Language Processing (NLP), New "Amazon.com" of Higher Education, new business models, online learning, online media, online tutoring, pace of change, participation, passions, personalized/customized learning, platforms, professional development, reinvent, second screen apps, simulations, smart/connected TV, social learning / networks, society, staying relevant, streams of content, student-related, surviving, teaching & learning, technologies for your home, telecommunications, telepresence, television, tools, training / L&D, universities, user experience (UX), using teams, videoconferencing, vision/possibilities, web-based collaboration, webinars, workplace, by Daniel Christian

From DSC:
Though we aren’t quite there yet, the pieces continue to come together to build a next generation learning platform that will help people reinvent themselves quickly, efficiently, constantly, and cost-effectively.

The 10 vital skills you will need for the future of work [Marr]

On 12/17/2019, in 21st century, active learning, Artificial Intelligence/Agents/LLMs/and Related, Blockchain, career development, change, cloud-based computing / apps / other cloud-related, colleges, communications, communities of practice, community colleges, competency-based learning/education, corporate / business world, corporate universities / corporate training, creativity, curriculum, emerging technologies, engineering, future, future of higher education, game-changing environment, heutagogy, higher education, ideas, leadership, learning, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, lifelong learning, organizational change, pace of change, reinvent, society, staying relevant, student-related, surviving, trends, universities, vision/possibilities, youth, by Daniel Christian

The 10 vital skills you will need for the future of work — from Bernard Marr

Excerpt:

Active learning with a growth mindset
Anyone in the future of work needs to actively learn and grow. A person with a growth mindset understands that their abilities and intelligence can be developed and they know their effort to build skills will result in higher achievement. They will, therefore, take on challenges, learn from mistakes and actively seek new knowledge.

Start by adopting a commitment to lifelong learning so you can acquire the skills you will need to succeed in the future workplace.

XR for Teaching and Learning [educause]

On 12/17/2019, in 3D, A/V -- audio/visual, adjunct faculty, attention, Augmented Reality (AR), digital audio, digital learning, education technology, emerging technologies, engagement / engaging students, experimentation, faculty, ideas, immersion, innovation, interaction design, interactivity, interface design, IT in HE, law schools, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning spaces, Mixed Reality (MR), multimedia, participation, pedagogy, platforms, play, simulations, teaching & learning, technologies for your home, tools, usability, user experience (UX), Virtual Reality (VR) / worlds / learning, XR - extended reality, by Daniel Christian

XR for Teaching and Learning — from educause

Key Findings

XR technologies are being used to achieve learning goals across domains.
Effective pedagogical uses of XR technologies fall into one of three large categories: (1) Supporting skills-based and competency-based teaching and learning, such as nursing education, where students gain practice by repeating tasks. (2) Expanding the range of activities with which a learner can gain hands-on experience—for example, by enabling the user to interact with electrons and electromagnetic fields. In this way, XR enables some subjects traditionally taught as abstract knowledge, using flat media such as illustrations or videos, to be taught as skills-based. (3) Experimenting by providing new functionality and enabling new forms of interaction. For example, by using simulations of materials or tools not easily available in the physical world, learners can explore the bounds of what is possible in both their discipline and with the XR technology itself.
Integration of XR into curricula faces two major challenges: time and skills.
The adoption of XR in teaching has two major requirements: the technology must fit into instructors’ existing practices, and the cost cannot be significantly higher than that of the alternatives already in use.
The effectiveness of XR technologies for achieving learning goals is influenced by several factors: fidelity, ease of use, novelty, time-on-task, and the spirit of experimentation.

FuturePod gathers voices from the international field of Futures and Foresight. Through a series of podcast interviews, the founders of the field and emerging leaders share their stories, tools and experiences. The Futures and Foresight community comprises a remarkable and diverse group of individuals who span, academic, commercial and social interests.

120 AI predictions for 2020 — from forbes.com by Gil Press

Excerpt:

As for the universe, it is an open book for the 120 senior executives featured here, all involved with AI, delivering 2020 predictions for a wide range of topics: Autonomous vehicles, deepfakes, small data, voice and natural language processing, human and augmented intelligence, bias and explainability, edge and IoT processing, and many promising applications of artificial intelligence and machine learning technologies and tools. And there will be even more 2020 AI predictions, in a second installment to be posted here later this month.

The Jobs of Tomorrow: LinkedIn’s 2020 Emerging Jobs Report — from blog.linkedin.com by Guy Berger

Excerpt:

Here’s what you should know about this year’s emerging jobs.

Artificial intelligence (AI) continues to make a strong showing on our Emerging Jobs lists, which is no surprise.
Professionals are on the move, likely a result of factors like housing costs, political and regulatory change, or more flexibility with remote work opportunities.
Demand for soft skills is likely to increase as automation becomes more widespread. Skills like communication, creativity, and collaboration are all virtually impossible to automate…

Also see these reports:

Online learning is here to stay.
The multibillion-dollar e-learning industry is taking off, and it’s staffing up to prepare. LinkedIn data shows the industry is snapping up both sales and tech talent, indicating continued customer demand for these types of solutions.

Delta Model Lawyer: Lawyer Competencies for the Computational Age [Moon]

On 12/09/2019, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, career development, change, emerging technologies, law schools, legal technologies, legislatures / government / legal, professional development, society, using teams, by Daniel Christian

Delta Model Lawyer: Lawyer Competencies for the Computational Age — from law.mit.edu by Caitlin “Cat” Moon
Technology changes the ways that people interact with one another. As a result, the roles and competencies required for many professions are evolving. Law is no exception. Cat Moon offers the Delta Model as a tool for legal professionals to understand how adapt to these changes.

Excerpt:

The [law] schools must begin training the profession to cope with and understand computers. […] Minimizing the pain and problems which may be caused by computer-created unknowns is a responsibility of the profession.

The future of law and computational technologies: Two sides of the same coin — from law.mit.edu by Daniel Linna
Law and computation are often thought of as being two distinct fields. Increasingly, that is not the case. Dan Linna explores the ways a computational approach could help address some of the biggest challenges facing the legal industry.

Excerpt:

The rapid advancement of artificial intelligence (“AI”) introduces opportunities to improve legal processes and facilitate social progress. At the same time, AI presents an original set of inherent risks and potential harms. From a Law and Computational Technologies perspective, these circumstances can be broadly separated into two categories. First, we can consider the ethics, regulations, and laws that apply to technology. Second, we can consider the use of technology to improve the delivery of legal services, justice systems, and the law itself. Each category presents an unprecedented opportunity to use significant technological advancements to preserve and expand the rule of law.

For basic legal needs, access to legal services might come in the form of smartphones or other devices that are capable of providing users with an inventory of their legal rights and obligations, as well as providing insights and solutions to common legal problems. Better yet, AI and pattern matching technologies can help catalyze the development of proactive approaches to identify potential legal problems and prevent them from arising, or at least mitigate their risk.
…

We risk squandering abundant opportunities to improve society with computational technologies if we fail to proactively create frameworks to embed ethics, regulation, and law into our processes by design and default.
…

To move forward, technologists and lawyers must radically expand current notions of interdisciplinary collaboration. Lawyers must learn about technology, and technologists must learn about the law.

Considering AI in hiring? As its use grows, so do the legal implications for employers. [Martinez]

On 12/06/2019, in Artificial Intelligence/Agents/LLMs/and Related, business, corporate / business world, emerging technologies, ethics, law schools, leadership, legislatures / government / legal, morals/values, platforms, workplace, by Daniel Christian

Considering AI in hiring? As its use grows, so do the legal implications for employers. — from forbes.com by Alonzo Martinez; with thanks to Paul Czarapata for his posting on Twitter on this

Excerpt:

As employers grapple with a widespread labor shortage, more are turning to artificial intelligence tools in their search for qualified candidates.

Hiring managers are using increasingly sophisticated AI solutions to streamline large parts of the hiring process. The tools scrape online job boards and evaluate applications to identify the best fits. They can even stage entire online interviews and scan everything from word choice to facial expressions before recommending the most qualified prospects.

But as the use of AI in hiring grows, so do the legal issues surrounding it. Critics are raising alarms that these platforms could lead to discriminatory hiring practices. State and federal lawmakers are passing or debating new laws to regulate them. And that means organizations that implement these AI solutions must not only stay abreast of new laws, but also look at their hiring practices to ensure they don’t run into legal trouble when they deploy them.

Upwork debuts The Upwork 100, ranking the top 100 in-demand skills for independent professionals — from upwork.com

Excerpt:

The Upwork 100 ranks the top 100 skills and sheds light on skills that are both quickly growing and also experiencing a high level of demand, providing an indication of current trends in the independent labor market and tech industry. It also serves as a barometer of the skills businesses are seeking and that independent professionals are providing by balancing real-time insights with consistent patterns based on real work that’s been completed.

DC: This type of feature will likely be a part of our future learning ecosystems; algorithms/spiders/etc searching for top needs &providing a menu of learning selections 2meet those needs (available 24×7). Next Gen Platform #LearningfromtheLivingClassroom https://t.co/yKnbKmyvgT

— Daniel Christian (@dchristian5) December 6, 2019

Learning Ecosystems

Companies Say Blockchain Could Have Prevented College Admissions Scandal [Young]

XR for Teaching and Learning [educause]

FuturePod gathers voices from the international field of Futures and Foresight.

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