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AI Technology in Education Will Grow 40%

AI Technology in Education Will Grow 40% Annually Until 2027

According to the author of the report, one of the participants in the AI education market will be IBM, AWS, Microsoft, Google, Nuance, Century Tech, Blackboard, Pearson, Cognii, Volley.com, Blippar, Knewton, Jenzabar, Content Technologies, PLEIQ, Luilishuo, Pixatel System, Cerevrum Inc., CheckiO, and Quantum Adaptive Learning.

Europe is expected to hold a significant market share with supportive government initiatives.

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more on AI in this IMS blog
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New Elements of Digital Transformation

The New Elements of Digital Transformation

https://sloanreview-mit-edu.cdn.ampproject.org/c/s/sloanreview.mit.edu/article/the-new-elements-of-digital-transformation/amp

2014, “The Nine Elements of Digital Transformation

It requires that companies become what we call digital masters. Digital masters cultivate two capabilities: digital capability, which enables them to use innovative technologies to improve elements of the business, and leadership capability, which enables them to envision and drive organizational change in systematic and profitable ways. Together, these two capabilities allow a company to transform digital technology into business advantage.

We found that the elements of leadership capability have endured, but new elements of digital capability have come to the fore.

While strong leadership capability is even more essential than ever, its core elements — vision, engagement, and governance — are not fundamentally changed, though they are informed by recent innovations. The elements of digital capability, on the other hand, have been more profoundly altered by the rapid technological advances of recent years.

The New Elements of Digital Capability

Experience design: Customer experience has become the ultimate battleground for many companies and brands.

Customer intelligence: Integrating customer data across silos and understanding customer behavior

Emotional engagement: Emotional connections with customers are as essential as technology in creating compelling customer experiences.

As ever, well-managed operations are essential to converting revenue into profit, but now we’re seeing a shift in the focus of digital transformation in this arena.

Core process automation: Amazon’s distribution centers deliver inventory to workers rather than sending workers to collect inventory. Rio Tinto, an Australian mining company, uses autonomous trucks, trains, and drilling machinery so that it can shift workers to less dangerous tasks, leading to higher productivity and better safety.

Connected and dynamic operations: Thanks to the growing availability of cheap sensors, cloud infrastructure, and machine learning, concepts such as Industry 4.0, digital threads, and digital twins have become a reality. Digital threads connecting machines, models, and processes provide a single source of truth to manage, optimize, and enhance processes from requirements definition through maintenance.

Data-driven decision-making: from backward-looking reports to real-time data. Now, connected devices, new machine learning algorithms, smarter experimentation, and plentiful data enable more-informed decisions.

Transforming Employee Experience

Augmentation: Warnings that robots will replace humans have given way to a more nuanced and productive discussion.
Workers in Huntington Ingalls Industries’ shipyard use augmented reality to help build giant complex vessels such as aircraft carriers and submarines. They can “see” where to route wires or pipes or what is behind a wall before they start drilling into it.

Future-readying: providing employees with the skills they need to keep up with the pace of change. In the past few years, this has given rise to new models of managing learning and development in organizations, led by a new kind of chief learning officer, whom we call the transformer CLO

Flexforcing: To respond to fast-paced digital opportunities and threats, companies also need to build agility into their talent sourcing systems. As automation and AI applications take over tasks once performed by humans, some companies are multiskilling employees to make the organization more agile.

Transforming Business Models

three elements supporting business model transformation: digital enhancements, information-based service extensions, and multisided platforms.

 

AI use in education

EDUCAUSE QuickPoll Results: Artificial Intelligence Use in Higher Education

D. Christopher Brooks” Friday, June 11, 2021

https://er.educause.edu/articles/2021/6/educause-quickpoll-results-artificial-intelligence-use-in-higher-education

AI is being used to monitor students and their work. The most prominent uses of AI in higher education are attached to applications designed to protect or preserve academic integrity through the use of plagiarism-detection software (60%) and proctoring applications (42%) (see figure 1).

The chatbots are coming! A sizable percentage (36%) of respondents reported that chatbots and digital assistants are in use at least somewhat on their campuses, with another 17% reporting that their institutions are in the planning, piloting, and initial stages of use (see figure 2). The use of chatbots in higher education by admissions, student affairs, career services, and other student success and support units is not entirely new, but the pandemic has likely contributed to an increase in their use as they help students get efficient, relevant, and correct answers to their questions without long waits.Footnote10 Chatbots may also liberate staff from repeatedly responding to the same questions and reduce errors by deploying updates immediately and universally.

AI is being used for student success tools such as identifying students who are at-risk academically (22%) and sending early academic warnings (16%); another 14% reported that their institutions are in the stage of planning, piloting, and initial usage of AI for these tasks.

Nearly three-quarters of respondents said that ineffective data management and integration (72%) and insufficient technical expertise (71%) present at least a moderate challenge to AI implementation. Financial concerns (67%) and immature data governance (66%) also pose challenges. Insufficient leadership support (56%) is a foundational challenge that is related to each of the previous listed challenges in this group.

Current use of AI

  • Chatbots for informational and technical support, HR benefits questions, parking questions, service desk questions, and student tutoring
  • Research applications, conducting systematic reviews and meta-analyses, and data science research (my italics)
  • Library services (my italics)
  • Recruitment of prospective students
  • Providing individual instructional material pathways, assessment feedback, and adaptive learning software
  • Proctoring and plagiarism detection
  • Student engagement support and nudging, monitoring well-being, and predicting likelihood of disengaging the institution
  • Detection of network attacks
  • Recommender systems

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more on AI in education in this IMS blog
https://blog.stcloudstate.edu/ims?s=artificial+intelligence+education

publish or perish

Hundreds of gibberish papers still lurk in the scientific literature

The issue began in 2005, when three PhD students created paper-generating software called SCIgen for “maximum amusement”, and to show that some conferences would accept meaningless papers.

Springer also sponsored a PhD project to help spot SCIgen papers, which resulted in free software called SciDetect.

The publishers who posted the most SCIgen content were Trans Tech Publications, a Swiss publisher, which published 57 SCIgen papers, Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP), based in India, which had 54; and Atlantis Press, a French publisher that was acquired by Springer Nature this March, with 39.

SCIgen papers are extremely rare: Labbé and Cabanac estimate from their screen that they make up a mere 75 papers per million in the computer-science literature. They are a far smaller problem than are, for instance, suspected paper mills.

the existence of these papers is an indication of the harmful effects of a ‘publish or perish’ culture, and an example of how nonsensical work can still make it into conference proceedings or journals.

 

Badging Blockchain

https://www.insidehighered.com/digital-learning/blogs/online-trending-now/badging-blockchain-documenting-skills-learned

LinkedIn’s 2020 list of skills in most demand includes these soft skills at the very top:

  • Creativity
  • Persuasion
  • Collaboration
  • Adaptability

And these hard skills at the very top:

  • Blockchain
  • Cloud computing
  • Analytical reasoning
  • Artificial intelligence

Further steps have been taken independently by universities that are utilizing blockchain technology to disseminate transcripts containing rich detail and documentation not available in the traditional paper document.

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more on blockchain in this IMS blog
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more on microcredentialing in this IMS blog
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Tech Cycle AR VR

Defining a Tech Cycle and Where Augmented Reality and Virtual Reality Stand

Defining a Tech Cycle and Where Augmented Reality and Virtual Reality Stand

we have started a new tech cycle, with the combination of augmented realityvirtual reality, and artificial intelligence.

tech cycle definition:
A tech cycle is usually a 30-35 year-long period that begins with the early commercialization of a group of technologies and ends with the mass adoption and daily use of the technologies by consumers, businesses and organizations.

Predictions For the XR Tech Space
Some predict the rise of AR glasses, leading to the death of smartphones. Others dream of a future where VR replaces the need to go to a physical office, with most meetings taking place in virtual environments. AI will come to life with AI-controlled avatars participating in VR worlds and advising as our own AR advisors and consultants.

We are still in the early innings of this tech cycle, we are looking at the beginning of the adoption of AR, VR, and AI (mass adoption is quite a few years out). This inevitable future has been accelerated by COVID-19, as many have turned to virtual reality and augmented reality as ways to socialize while keeping a social distance.

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https://blog.stcloudstate.edu/ims/2021/03/25/apple-headset/

defense in the AI era

U.S. is ‘not prepared to defend or compete in the A.I. era,’ says expert group chaired by Eric Schmidt – In a report, it warned that AI systems will be used in the “pursuit of power” and that “AI will not stay in the domain of superpowers or the realm of science fiction.” from r/Futurology

https://www.cnbc.com/2021/03/02/us-not-prepared-to-defend-or-compete-in-ai-era-says-eric-schmidt-group.html

The National Security Commission on AI warned in a 756-page report on Monday that China could soon replace the U.S. as the world’s “AI superpower” and said there are serious military implications to consider.

The 15 members of the commission include technologists, national security professionals, business executives and academic leaders. Among them are Amazon’s next CEO, Andy Jassy, Oracle CEO Safra Catz, Microsoft Chief Scientific Officer Eric Horvitz and Google Cloud AI chief Andrew Moore.

China has stated that it wants to be a global leader in AI by 2030. The report’s authors have said it is vital that the U.S. does all it can to eliminate the chance of this happening.
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AI and paper mills

https://www.facebook.com/groups/onlinelearningcollective/permalink/761389994491701/

“What the invention of photography did to painting, this will do to teaching.”

AI can write a passing college paper in 20 minutes

Natural language processing is on the cusp of changing our relationship with machines forever.

https://www.zdnet.com/article/ai-can-write-a-passing-college-paper-in-20-minutes/

The specific AI — GPT-3, for Generative Pre-trained Transformer 3 — was released in June 2020 by OpenAI, a research business co-founded by Elon Musk. It was developed to create content with a human language structure better than any of its predecessors.

According to a 2019 paper by the Allen Institute of Artificial Intelligence, machines fundamentally lack commonsense reasoning — the ability to understand what they’re writing. That finding is based on a critical reevaluation of standard tests to determine commonsense reasoning in machines, such as the Winograd Schema Challenge.

Which makes the results of the EduRef experiment that much more striking. The writing prompts were given in a variety of subjects, including U.S. History, Research Methods (Covid-19 Vaccine Efficacy), Creative Writing, and Law. GPT-3 managed to score a “C” average across four subjects from professors, failing only one assignment.

Aside from potentially troubling implications for educators, what this points to is a dawning inflection point for natural language processing, heretofore a decidedly human characteristic.

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more on artificial intelligence in this IMS blog
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more on paper mills in this IMS blog
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China hackers

https://www.bloomberg.com/news/features/2018-10-04/the-big-hack-how-china-used-a-tiny-chip-to-infiltrate-america-s-top-companies

Nested on the servers’ motherboards, the testers found a tiny microchip, not much bigger than a grain of rice, that wasn’t part of the boards’ original design. Amazon reported the discovery to U.S. authorities, sending a shudder through the intelligence community. Elemental’s servers could be found in Department of Defense data centers, the CIA’s drone operations, and the onboard networks of Navy warships. And Elemental was just one of hundreds of Supermicro customers.

interdiction, consists of manipulating devices as they’re in transit from manufacturer to customer. This approach is favored by U.S. spy agencies, according to documents leaked by former National Security Agency contractor Edward Snowden. The other method involves seeding changes from the very beginning.

In emailed statements, Amazon (which announced its acquisition of Elemental in September 2015), Apple, and Supermicro disputed summaries of Bloomberg Businessweek’s reporting.

The Chinese government didn’t directly address questions about manipulation of Supermicro servers, issuing a statement that read, in part, “Supply chain safety in cyberspace is an issue of common concern, and China is also a victim.” The FBI and the Office of the Director of National Intelligence, representing the CIA and NSA, declined to comment.

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more on hackers in this IMS blog
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Belarus KGB

A leaked audio tape of the then-head of the Belarus KGB planning the murders of three Belarusian dissidents in Germany on the orders of President Alexander Lukashenko, recorded eight years ago, has roiled European diplomats and intelligence agents. from r/worldnews

https://www.businessinsider.com/leaked-recording-belarus-plotting-assassinations-in-europe-2021-1

A leaked recording exposed how Belarus’ KGB plans its assassinations in Europe

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