the Kyowon Group, an education company in Korea, recently developed a life-like tutor using artificial intelligence for the very first time in the Korean education industry.
Kyowon created its AI tutors for two-way communication–teacher to student and student to teacher–by exchanging questions and answers between the two about the lesson plan as if they were having an interactive conversation. These AI tutors were able to provide real time feedback related to the learning progress and were also able to identify, manage, and customize interactions with students through learning habits management. In addition, to help motivate student learning, the AI Tutors captured students’ emotions through analysis of their strengths and challenges.
While AI is being used in various industries, including education, the technology comes under scrutiny as many ask the question if they can trust AI and its legitimacy?
Although there are some meaningful use cases for deepfake, such as using technology to bring historical figures of the past to life, deepfake technology is mostly exploited. However, the good news is that groups are working to detect and minimize the damage caused by deepfake videos and other AI technology abuses, including credible standards organizations who are working to ensure trust in AI.
For education, the best and only way AI tutors will be adopted and accepted
can only be done with innovative real-time AI conversational technology that must include accurate lip and mouth synchronization in addition to video synthesis technology. Using real models, not fake computer-generated ones, is critical as well.
NEW: Openness has enabled science to join the politicized public discourse, yet scientific communication is not fit for this environment. Today, I argue that the scholarly communication sector has a responsibility to improve the trustworthiness of science. https://t.co/TJh4o9EfbE
I remember some years ago reading an article on The Verge saying that like 40% of startups that claim to do AI actually don’t do AI. They just use the name AI because it is cool, but they don’t actually use it. The same goes for the metaverse. I’ve seen things like a company that does AR/VR software writing on Linkedin “WE CREATE METAVERSES”.
Alexander, B. (2021), “Macroauthorities and Microliteracies: The New Terrain of Information Politics”, Grech, A. (Ed.) Media, Technology and Education in a Post-Truth Society (Digital Activism and Society: Politics, Economy And Culture In Network Communication), Emerald Publishing Limited, Bingley, pp. 29-37. https://doi.org/10.1108/978-1-80043-906-120211003
Portelli, J.P. and Oladi, S. (2021), “Post-truth Society: Toward a Dialogical Understanding of Truth”, Grech, A. (Ed.) Media, Technology and Education in a Post-Truth Society (Digital Activism and Society: Politics, Economy And Culture In Network Communication), Emerald Publishing Limited, Bingley, pp. 11-28. https://doi.org/10.1108/978-1-80043-906-120211002
Patrinos, H.A. (2021), “The Learning Challenge in the Twenty-first Century * “, Grech, A. (Ed.) Media, Technology and Education in a Post-Truth Society (Digital Activism and Society: Politics, Economy And Culture In Network Communication), Emerald Publishing Limited, Bingley, pp. 39-53. https://doi.org/10.1108/978-1-80043-906-120211004
Pauncefort, E. (2021), “Critical Literacy Is at the Heart of the Answer”, Grech, A. (Ed.) Media, Technology and Education in a Post-Truth Society (Digital Activism and Society: Politics, Economy And Culture In Network Communication), Emerald Publishing Limited, Bingley, pp. 73-94. https://doi.org/10.1108/978-1-80043-906-120211006
Balser, W.F., Diasio, S. and Kendal, T. (2021), “Societal Reorientation via Programmable Trust: A Case for Piloting New Models of Open Governance in Education”, Grech, A. (Ed.) Media, Technology and Education in a Post-Truth Society (Digital Activism and Society: Politics, Economy And Culture In Network Communication), Emerald Publishing Limited, Bingley, pp. 95-110. https://doi.org/10.1108/978-1-80043-906-120211007
This essay proposes the need to infuse open innovation (OI) and open source (OS) principles and technologies into schools as a means of tackling many of the most pervasive challenges in education, and by extension, society at large. It is argued that the principles of OI and OS, which are rooted in innovation management and software development, respectively, may be applied to the way we conceive of and approach organizational governance structures related to schooling, particularly in regard to harnessing innovation, updating management processes, and codifying new systems of trust. Whereas OI offers a novel approach to knowledge flow and the open exchange of ideas, communities rooted in OS principles breed tangible and generative effects through peer network democratization. These emergent, digitally defined networks have been proven to maximize innovation potential, expand collaboration, and enable the propagation of highly durable systems of trust and transparency, all catalytic and essential if we are to realize a future learning economy which favors equity, distributed systems, and common goods over profit, centralized decision-making, and proprietorship. It is within this framing that we articulate the core tenets of both OI and OS translationally as a means of stimulating thinking about how core principles of “openness” and the distributed technologies they enable may help to build common ground in an ever-evolving education and information ecosystem.
Sant, T. (2021), “How Can Wikipedia Save Us all?: Assuming Good Faith from all Points of View in the Age of Fake News and Post-truth”, Grech, A. (Ed.) Media, Technology and Education in a Post-Truth Society (Digital Activism and Society: Politics, Economy And Culture In Network Communication), Emerald Publishing Limited, Bingley, pp. 133-143. https://doi.org/10.1108/978-1-80043-906-120211010
Fusari, M. (2021), “The Kony 2012 Campaign: A Milestone of Visual Storytelling for Social Engagement”, Grech, A. (Ed.) Media, Technology and Education in a Post-Truth Society (Digital Activism and Society: Politics, Economy And Culture In Network Communication), Emerald Publishing Limited, Bingley, pp. 155-173. https://doi.org/10.1108/978-1-80043-906-120211012
Mallia, Ġorġ. (2021), “Post-truth Visuals, Untruth Visuals”, Grech, A. (Ed.) Media, Technology and Education in a Post-Truth Society (Digital Activism and Society: Politics, Economy And Culture In Network Communication), Emerald Publishing Limited, Bingley, pp. 175-187. https://doi.org/10.1108/978-1-80043-906-120211013
Basu, D. and Gabbay, M. (2021), “Karl Marx and the Blockchain”, Grech, A. (Ed.) Media, Technology and Education in a Post-Truth Society (Digital Activism and Society: Politics, Economy And Culture In Network Communication), Emerald Publishing Limited, Bingley, pp. 225-241. https://doi.org/10.1108/978-1-80043-906-120211016
Blockchain is often presented as a technological development; however, clearly it is not only that: the ‘Blockchain buzz’ exists in the context of current social and political developments. In this essay, we analyse blockchain technology and its social and political context from a perspective of Marxist economic theory. Since arguably the last great inflection point in society and technology was analysed by Marx in terms of labour and capital and since we seem to be experiencing a shift in the balance between these forces today, it makes sense to revisit the Marxist ideas and apply them to the current situation, to see how well they still apply and if necessary to update them for current events.
Ellul, J., Grech, A. and Pace, G.J. (2021), “Two Sides to Every Story. The Truth, Post-truth, and the Blockchain Truth”, Grech, A. (Ed.) Media, Technology and Education in a Post-Truth Society (Digital Activism and Society: Politics, Economy And Culture In Network Communication), Emerald Publishing Limited, Bingley, pp. 243-253. https://doi.org/10.1108/978-1-80043-906-120211017
One of the rallying cries of the blockchain community is that of immutability: the irreversibility of the past, the absolute truth which, once stored, remains there forever. The technology was designed with this foundational pillar in mind to ensure that changes to history are inordinately expensive and practically impossible to execute – and increasingly so, the further in the past the event which one intends to manipulate lies. This platonic view of absolute truth is in stark contrast with a world of manipulated truth, and it is not surprising that it is being revisited as a means of combating fake news. We argue that claims to the absolute nature of the blockchain are at best exaggerated, at worst misrepresented or even ‘fake news’. We discuss implicit centralised points of trust in blockchains, whether at a technological, social or governance level, and identify how these can be a threat to the ‘immutable truth’ stored within the blockchain itself. A global pandemic has unleashed an unprecedented wave of contradictory positions on anything from vaccines and face masks to ‘the new normal’. It is only natural that the pursuit of blockchain as a placebo for society’s ‘truth’ problems continues.
Narrow AI is what we see all around us in computers today — intelligent systems that have been taught or have learned how to carry out specific tasks without being explicitly programmed how to do so.
General AI
General AI is very different and is the type of adaptable intellect found in humans, a flexible form of intelligence capable of learning how to carry out vastly different tasks, anything from haircutting to building spreadsheets or reasoning about a wide variety of topics based on its accumulated experience.
What can Narrow AI do?
There are a vast number of emerging applications for narrow AI:
Interpreting video feeds from drones carrying out visual inspections of infrastructure such as oil pipelines.
Organizing personal and business calendars.
Responding to simple customer-service queries.
Coordinating with other intelligent systems to carry out tasks like booking a hotel at a suitable time and location.
Flagging inappropriate content online, detecting wear and tear in elevators from data gathered by IoT devices.
Generating a 3D model of the world from satellite imagery… the list goes on and on.
What can General AI do?
A survey conducted among four groups of experts in 2012/13 by AI researchers Vincent C Müller and philosopher Nick Bostrom reported a 50% chance that Artificial General Intelligence (AGI) would be developed between 2040 and 2050, rising to 90% by 2075.
What is machine learning?
What are neural networks?
What are other types of AI?
Another area of AI research is evolutionary computation.
What is fueling the resurgence in AI?
What are the elements of machine learning?
As mentioned, machine learning is a subset of AI and is generally split into two main categories: supervised and unsupervised learning.
Supervised learning
Unsupervised learning
Which are the leading firms in AI?
Which AI services are available?
All of the major cloud platforms — Amazon Web Services, Microsoft Azure and Google Cloud Platform — provide access to GPU arrays for training and running machine-learning models, with Google also gearing up to let users use its Tensor Processing Units — custom chips whose design is optimized for training and running machine-learning models.
Which countries are leading the way in AI?
It’d be a big mistake to think the US tech giants have the field of AI sewn up. Chinese firms Alibaba, Baidu, and Lenovo, invest heavily in AI in fields ranging from e-commerce to autonomous driving. As a country, China is pursuing a three-step plan to turn AI into a core industry for the country, one that will be worth 150 billion yuan ($22bn) by the end of 2020 to become the world’s leading AI power by 2030.
How can I get started with AI?
While you could buy a moderately powerful Nvidia GPU for your PC — somewhere around the Nvidia GeForce RTX 2060 or faster — and start training a machine-learning model, probably the easiest way to experiment with AI-related services is via the cloud.
according to Pew Research Center, 68 percent of American adults get their news from social media—platforms where opinion is often presented as fact.
results of the international test revealed that only 14 percent of U.S. students were able to reliably distinguish between fact and opinion.
News and Media Literacy (and the lack of) is not very different from Information Literacy
An “information literate” student is able to “locate, evaluate, and effectively use information from diverse sources.” See more About Information Literacy.
How does information literacy help me?
Every day we have questions that need answers. Where do we go? Whom can we trust? How can we find information to help ourselves? How can we help our family and friends? How can we learn about the world and be a better citizen? How can we make our voice heard?
Standard 1. The information literate student determines the nature and extent of the information needed
Standard 2. The information literate student accesses needed information effectively and efficiently
Standard 3. The information literate student evaluates information and its sources critically and incorporates selected information into his or her knowledge base and value system
Standard 4. The information literate student, individually or as a member of a group, uses information effectively to accomplish a specific purpose
Standard 5. The information literate student understands many of the economic, legal, and social issues surrounding the use of information and accesses and uses information ethically and legally
Project Information Literacy
A national, longitudinal research study based in the University of Washington’s iSchool, compiling data on college students habits to seek and use information.
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Developing Your Research Topic/Question
Research always starts with a question. But the success of your research also depends on how you formulate that question. If your topic is too broad or too narrow, you may have trouble finding information when you search. When developing your question/topic, consider the following:
Research always starts with a question. But the success of your research also depends on how you formulate that question. If your topic is too broad or too narrow, you may have trouble finding information when you search. When developing your question/topic, consider the following:
Is my question one that is likely to have been researched and for which data have been published? Believe it or not, not every topic has been researched and/or published in the literature.
Be flexible. Consider broadening or narrowing the topic if you are getting a limited number or an overwhelming number of results when you search. In nursing it can be helpful to narrow by thinking about a specific population (gender, age, disease or condition, etc.), intervention, or outcome.
Discuss your topic with your professor and be willing to alter your topic according to the guidance you receive.
Getting Ready for Research
Library Resources vs. the Internet
How (where from) do you receive information about your professional interests?
Advantages/disadvantages of using Web Resources
Why Keyword Searching?
Why not just type in a phrase or sentence like you do in Google or Yahoo!?
Because most electronic databases store and retrieve information differently than Internet search engines.
A databases searches fields within a collection of records. These fields include the information commonly found in a citation plus an abstract (if available) and subject headings. Search engines search web content which is typically the full text of sources.
The bottom line: you get better results in a database by using effective keyword search strategies.
To develop an effective search strategy, you need to:
determine the key concepts in your topic and
develop a good list of keyword synonyms.
Why use synonyms?
Because there is more than one way to express a concept or idea. You don’t know if the article you’re looking for uses the same expression for a key concept that you are using.
Consider: Will an author use:
Hypertension or High Blood Pressure?
Teach or Instruct?
Therapy or Treatment?
Don’t get “keyword lock!” Be willing to try a different term as a keyword. If you are having trouble thinking of synonyms, check a thesaurus, dictionary, or reference book for ideas.
Keyword worksheet
Library Resources
How to find the SCSU Library Website
SCSU online databases
SCSU Library Web page
Basic Research Skills
Locating and Defining a Database
Database Searching Overview:
You can search using the SCSU library online dbases by choosing:
Simple search
Advanced search
Identifying a Scholarly Source
Boolean operators
Databases:
CINAHL, MEDLINE, PubMed, Health Source: Consumer Edition, Health Source: Nursing/Academic Edition
Psychology:
PsychINFO
General Science
ScienceDirect
Arts & Humanities Citation Index
How do you evaluate a source of information to determine if it is appropriate for academic/scholarly use. There is no set “checklist” to complete but below are some criteria to consider when you are evaluating a source.
ACCURACY
Does the author cite reliable sources?
How does the information compare with that in other works on the topic?
Can you determine if the information has gone through peer-review?
Are there factual, spelling, typographical, or grammatical errors?
AUDIENCE
Who do you think the authors are trying to reach?
Is the language, vocabulary, style and tone appropriate for intended audience?
What are the audience demographics? (age, educational level, etc.)
Are the authors targeting a particular group or segment of society?
AUTHORITY
Who wrote the information found in the article or on the site?
What are the author’s credentials/qualifications for this particular topic?
Is the author affiliated with a particular organization or institution?
What does that affiliation suggest about the author?
CURRENCY
Is the content current?
Does the date of the information directly affect the accuracy or usefulness of the information?
OBJECTIVITY/BIAS
What is the author’s or website’s point of view?
Is the point of view subtle or explicit?
Is the information presented as fact or opinion?
If opinion, is the opinion supported by credible data or informed argument?
Is the information one-sided?
Are alternate views represented?
Does the point of view affect how you view the information?
PURPOSE
What is the author’s purpose or objective, to explain, provide new information or news, entertain, persuade or sell?
Does the purpose affect how you view the information presented?
The French state agency responsible for tackling sectarian movements, MIVILUDES, has received some 15 reports over recent weeks raising the alarm about the rise of QAnon in France, Le Figaro reported.
The DéQodeurs website offers links to “information” including articles relaying fake news based on QAnon tropes – such as the baseless claim that in 2016, Israeli Prime Minister Benjamin Netanyahu was about to release documents proving the existence of a massive paedophile ring in Washington DC.
While it tends to eschew such lurid narratives, anti-vaccine sentiment is relatively widespread in France. An Ipsos poll published in November found that 46 percent of French adults said they would refuse to receive a Covid-19 vaccine – compared to 21 percent in the UK. A 2019 Gallup poll found that one in three French people thought all vaccines are dangerous – the highest proportion of respondents to say so in 144 countries surveyed.
QAnon’s French sympathisers are far more ideologically heterogenous than those in the US, St Denny observed: “QAnon in France is definitely not the monopoly of far-right sympathisers as it might be in the US. Its anti-government underpinnings have made the conspiracy theory attractive to a very disparate collection of groups and individuals including established conspiracy theorists, some fringes of the Yellow Vests movement, and some of the more conspiracy-oriented among the alternative health movement.”
