What is AR (how is it different from VR or MR) https://blog.stcloudstate.edu/ims/2019/03/25/peter-rubin-future-presence/
p. 225
“augmented reality: Bringing artificial objects into the real world-these can be as simple as a ” heads-up display,” like a speedometer project it onto your car’s windshield, or as complex as seen to be virtual creature woke across your real world leaving room, casting a realistic shadow on the floor” https://blog.stcloudstate.edu/ims/2018/11/07/can-xr-help-students-learn/
p. 12
Augmented reality provides an “overlay” of some type over the real world through
the use of a headset or even a smartphone.
There is no necessary distinction between AR and VR; indeed, much research
on the subject is based on a conception of a “virtuality continuum” from entirely
real to entirely virtual, where AR lies somewhere between those ends of the
spectrum. Paul Milgram and Fumio Kishino, “A Taxonomy of Mixed Reality Visual Displays,
Augmented reality superimposes a digital layer on the world around us, often activated by scanning a trigger image or via GPS (think Pokemon Go!). Virtual reality takes users away from the real world, fully immersing students in a digital experience that replaces reality. Mixed reality takes augmented a step further by allowing the digital and real worlds to interact and the digital components to change based on the user’s environment.
Gamifying Library orientation using Metaverse: https://mtvrs.io/GenerousJubilantEeve
(the gateway to the Library orientation project)
Metaverse experience through the user’s phone:
Discuss the following statement:
“low-end AR (Metaverse), like low-end VR (360 degrees) has strong potential to introduce students, faculty and staff to immersive teaching and learning“
Using Student Data to Identify Future Criminals: A Privacy Debacle
Under the federal Family Educational Rights and Privacy Act (FERPA), schools can share student records with a contractor or outside party to whom the school has outsourced certain functions, if that outside party (like a designated school resource officer) meets all three of these conditions:
The outside party is performing a service that would otherwise be performed by school employees.
The outside party’s use of education records is under the direct control of the school.
The outside party does not use the education records for anything other than the reason they were originally shared, and does not share the education record with anyone else unless it secures written consent from the parent of the student.
People who behaved in accordance with them—for example, by staying away from the overgrown pond bank where someone said there was a viper—were more likely to survive than those who did not.
Compounding the problem is the proliferation of online information. Viewing and producing blogs, videos, tweets and other units of information called memes has become so cheap and easy that the information marketplace is inundated. My note: folksonomy in its worst.
At the University of Warwick in England and at Indiana University Bloomington’s Observatory on Social Media (OSoMe, pronounced “awesome”), our teams are using cognitive experiments, simulations, data mining and artificial intelligence to comprehend the cognitive vulnerabilities of social media users. developing analytical and machine-learning aids to fight social media manipulation.
As Nobel Prize–winning economist and psychologist Herbert A. Simon noted, “What information consumes is rather obvious: it consumes the attention of its recipients.”
attention economy
Our models revealed that even when we want to see and share high-quality information, our inability to view everything in our news feeds inevitably leads us to share things that are partly or completely untrue.
Frederic Bartlett
Cognitive biases greatly worsen the problem.
We now know that our minds do this all the time: they adjust our understanding of new information so that it fits in with what we already know. One consequence of this so-called confirmation bias is that people often seek out, recall and understand information that best confirms what they already believe.
This tendency is extremely difficult to correct.
Making matters worse, search engines and social media platforms provide personalized recommendations based on the vast amounts of data they have about users’ past preferences.
pollution by bots
Social Herding
social groups create a pressure toward conformity so powerful that it can overcome individual preferences, and by amplifying random early differences, it can cause segregated groups to diverge to extremes.
Social media follows a similar dynamic. We confuse popularity with quality and end up copying the behavior we observe.
information is transmitted via “complex contagion”: when we are repeatedly exposed to an idea, typically from many sources, we are more likely to adopt and reshare it.
In addition to showing us items that conform with our views, social media platforms such as Facebook, Twitter, YouTube and Instagram place popular content at the top of our screens and show us how many people have liked and shared something.Few of us realize that these cues do not provide independent assessments of quality.
programmers who design the algorithms for ranking memes on social media assume that the “wisdom of crowds” will quickly identify high-quality items; they use popularity as a proxy for quality. My note: again, ill-conceived folksonomy.
Echo Chambers
the political echo chambers on Twitter are so extreme that individual users’ political leanings can be predicted with high accuracy: you have the same opinions as the majority of your connections. This chambered structure efficiently spreads information within a community while insulating that community from other groups.
socially shared information not only bolsters our biases but also becomes more resilient to correction.
machine-learning algorithms to detect social bots. One of these, Botometer, is a public tool that extracts 1,200 features from a given Twitter account to characterize its profile, friends, social network structure, temporal activity patterns, language and other features. The program compares these characteristics with those of tens of thousands of previously identified bots to give the Twitter account a score for its likely use of automation.
Some manipulators play both sides of a divide through separate fake news sites and bots, driving political polarization or monetization by ads.
recently uncovered a network of inauthentic accounts on Twitter that were all coordinated by the same entity. Some pretended to be pro-Trump supporters of the Make America Great Again campaign, whereas others posed as Trump “resisters”; all asked for political donations.
a mobile app called Fakey that helps users learn how to spot misinformation. The game simulates a social media news feed, showing actual articles from low- and high-credibility sources. Users must decide what they can or should not share and what to fact-check. Analysis of data from Fakey confirms the prevalence of online social herding: users are more likely to share low-credibility articles when they believe that many other people have shared them.
Hoaxy, shows how any extant meme spreads through Twitter. In this visualization, nodes represent actual Twitter accounts, and links depict how retweets, quotes, mentions and replies propagate the meme from account to account.
Free communication is not free. By decreasing the cost of information, we have decreased its value and invited its adulteration.
America is divided by race, gender and geography. None of that is new. What’s new is division by education: a college divide.
One element of the college divide is hostility to higher education itself; the percentage of self-identified Republicans who say higher education has a negative effect on the country went from 37 percent in 2015 to 59 percent in 2019.
College graduates are being painted as elites principally because the vast majority of students who successfully complete four-plus years of college at the vast majority of institutions have the financial resources, family stability and support that are characteristic of top quartile (if not top decile) households.
Both superintendents and board members have a role to play in elevating different voices, say school board members. District leaders can’t pick candidates, but they can create “leadership academies” to teach interested community members about the workings of their school systems. They can also create committees and other advisory boards that allow parents an entry point into getting more involved in their school district, if they choose.
A 2017 study that examined middle and high schools in Florida found that districts with diverse school boards have lower rates of school suspensions for all students, and that disparities in suspension rates between minority and white students are reduced overall.
Tech platforms used to focus on ways to create wildly different products to attract audiences. Today, they all have similar features, and instead differentiate themselves with their philosophies, values and use cases.
“For those who advocate for OER and reduced costs for course materials (and I consider myself in this group), this information presents a double-edged sword. It should be far more difficult to use the previous tactic of college textbook pricing is skyrocketing to justify a new program as even a cursory review of the College Board budgets will refute the $1,200+ numbers. Likewise, this information should cause people to ask for more transparency in savings estimates for OER or inclusive access programs.”
