According to San Jose State University researcher Ziming Lu, this is typical “screen-based reading behavior,” with more time spent browsing, scanning and skimming than in-depth reading. As reading experiences move online, experts have been exploring how reading from a screen may be changing our brains. Reading expert Maryanne Wolf, author of Proust and the Squid, has voiced concerns that digital reading will negatively affect the brain’s ability to read deeply for sophisticated understanding, something that Nicholas Carr also explored in his book, The Shallows. Teachers are trying to steer students toward digital reading strategies that practice deep reading, and nine out of ten parents say that having their children read paper books is important to them.
“Digital reading is good in some ways, and bad in others,” he said: in other words, it’s complicated.
According to Julie Coiro, a reading researcher at the University of Rhode Island, moving from digital to paper and back again is only a piece of the attention puzzle: the larger and more pressing issue is how reading online is taxing kids’ attention. Online reading, Coiro noticed, complicates the comprehension process “a million-fold.”
Each time a student reads online content, Coiro said, they are faced with almost limitless input and decisions, including images, video and multiple hyperlinks that lead to even more information. As kids navigate a website, they must constantly ask themselves: is this the information I’m looking for?
Faking it: how selfie dysmorphia is driving people to seek surgery
Filters have never been more prevalent – and it’s leading some people to have fillers, Botox and other procedures. What’s behind the obsessive pursuit of a flawless look?
The phenomenon of people requesting procedures to resemble their digital image has been referred to – sometimes flippantly, sometimes as a harbinger of end times – as “Snapchat dysmorphia”. The term was coined by the cosmetic doctor Tijion Esho, founder of the Esho clinics in London and Newcastle.
A recent report in the US medical journal JAMA Facial Plastic Surgery suggested that filtered images’ “blurring the line of reality and fantasy” could be triggering body dysmorphic disorder (BDD), a mental health condition where people become fixated on imagined defects in their appearance.
A 2017 study into “selfitis”, as the obsessive taking of selfies has been called, found a range of motivations, from seeking social status to shaking off depressive thoughts and – of course – capturing a memorable moment. Another study suggested that selfies served “a private and internal purpose”, with the majority never shared with anyone or posted anywhere – terabytes, even petabytes of photographs never to be seen by anyone other than their subject.
However, a 2017 study in the journal Cognitive Research: Principles and Implications found that people only recognised manipulated images 60%-65% of the time.
Scholars want peers to find—and cite—their research, and these days that increasingly happens on social media. The old adage ‘publish or perish’ could soon go digital as ‘clicks or canned.’
Several platforms have emerged over the past decade, offering researchers the chance to share their work and connect with other scholars. But some of those services have a bad rap from academics who say commercial sites lack the integrity of institutional repositories run by traditional universities. (Among the most widely-villified are ResearchGate and Academia.edu, which is evident by griping on social media and elsewhere.)
a 2015 paper comparing services and tools offered by various academic social networks, says researchers must weigh the benefits and drawbacks of each. “They can be great tools to advance your research, especially social research,” she says. “But just like with Facebook or any other social network, we need to be aware of potential issues we might have with copyright or privacy.”
Academia.edu is the largest of the academic social networks.
Created as a reference-management tool to help users organize their research, Mendeley also includes a number of social-networking features.
Scholabrate. The service claims to provide a more Facebook-esque, visual experience for academics seeking to network with others in their field.
Similar to Mendeley, Zotero functions primarily as a research tool, allowing users to collect, save, cite and share materials from a wide range of sources. The site also maintains a significant community of academics who can connect through groups and forums, or through their search engine.
Eureka: machine learning tool, brainstorming engine. give it an initial idea and it returns similar ideas. Like Google: refine the idea, so the machine can understand it better. create a collection of ideas to translate into course design or others.
Netlix:
influencers and microinfluencers, pre- and doing the execution
a machine can construct a book with the help of a person. bionic book. machine and person working hand in hand. provide keywords and phrases from lecture notes, presentation materials. from there recommendations and suggestions based on own experience; then identify included and excluded content. then instructor can construct.
Design may be the least interesting part of the book for the faculty.
multiple choice quiz may be the least interesting part, and faculty might want to do much deeper assessment.
use these machine learning techniques to build assessment. how to more effectively. inquizitive is the machine learning
students engagements and similar prompts
presence in the classroom: pre-service teachers class. how to immerse them and practice classroom management skills
First class: marriage btw VR and use of AI – an environment headset: an algorithm reacts how teachers are interacting with the virtual kids. series of variables, oppty to interact with present behavior. classroom management skills. simulations and environments otherwise impossible to create. apps for these type of interactions
facilitation, reflection and research
AI for more human experience, allow more time for the faculty to be more human, more free time to contemplate.
Jason: Won’t the use of AI still reduce the amount of faculty needed?
Christina Dumeng: @Jason–I think it will most likely increase the amount of students per instructor.
Andrew Cole (UW-Whitewater): I wonder if instead of reducing faculty, these types of platforms (e.g., analytic capabilities) might require instructors to also become experts in the various technology platforms.
Dirk Morrison: Also wonder what the implications of AI for informal, self-directed learning?
Kate Borowske: The context that you’re presenting this in, as “your own jazz band,” is brilliant. These tools presented as a “partner” in the “band” seems as though it might be less threatening to faculty. Sort of gamifies parts of course design…?
Dirk Morrison: Move from teacher-centric to student-centric? Recommender systems, AI-based tutoring?
Andrew Cole (UW-Whitewater): The course with the bot TA must have been 100-level right? It would be interesting to see if those results replicate in 300, 400 level courses
Both jazz and classical art forms require not only music literacy, but for the musician to be at the top of their game in technical proficiency, tonal quality and creativity in the case of the jazz idiom. Jazz masters like John Coltrane would practice six to nine hours a day, often cutting his practice only because his inner lower lip would be bleeding from the friction caused by his mouth piece against his gums and teeth. His ability to compose and create new styles and directions for jazz was legendary. With few exceptions such as Wes Montgomery or Chet Baker, if you couldn’t read music, you couldn’t play jazz.
Besides the decline of music literacy and participation, there has also been a decline in the quality of music which has been proven scientifically by Joan Serra, a postdoctoral scholar at the Artificial Intelligence Research Institute of the Spanish National Research Council in Barcelona. Joan and his colleagues looked at 500,000 pieces of music between 1955-2010, running songs through a complex set of algorithms examining three aspects of those songs:
1. Timbre- sound color, texture and tone quality
2. Pitch- harmonic content of the piece, including its chords, melody, and tonal arrangements
3. Loudness- volume variance adding richness and depth
In an interview, Billy Joel was asked what has made him a standout. He responded his ability to read and compose music made him unique in the music industry, which as he explained, was troubling for the industry when being musically literate makes you stand out. An astonishing amount of today’s popular music is written by two people: Lukasz Gottwald of the United States and Max Martin from Sweden, who are both responsible for dozens of songs in the top 100 charts. You can credit Max and Dr. Luke for most the hits of these stars:
Katy Perry, Britney Spears, Kelly Clarkson, Taylor Swift, Jessie J., KE$HA, Miley Cyrus, Avril Lavigne, Maroon 5, Taio Cruz, Ellie Goulding, NSYNC, Backstreet Boys, Ariana Grande, Justin Timberlake, Nick Minaj, Celine Dion, Bon Jovi, Usher, Adam Lambert, Justin Bieber, Domino, Pink, Pitbull, One Direction, Flo Rida, Paris Hilton, The Veronicas, R. Kelly, Zebrahead
Stanford University report found that more than 80 percent of middle schoolers didn’t understand that the phrase “sponsored content” meant “advertising.”
Check for previous work: Look around to see if someone else has already fact-checked the claim or provided a synthesis of research. [Some places to look: Wikipedia, Snopes, Politifact and NPR’s own Fact Check website.]
Go upstream to the source: Most web content is not original. Get to the original source to understand the trustworthiness of the information. Is it a reputable scientific journal? Is there an original news media account from a well-known outlet? If that’s not immediately apparent, then move to step 3.
Read laterally: Once you get to the source of a claim, read what other people say about the source (publication, author, etc.). The truth is in the network.
Circle back: If you get lost, or hit dead ends or find yourself going down a rabbit hole, back up and start over.
We are exploring the very same topic. We have been using Credly for the past year or so to give badges to faculty who complete courses in a 3 course series we developed for effective online teaching.
That said, we are a Canvas school and, as we explore our own pilot program, are looking at Badgr’s badging solution (which is free to use, at least for Canvas, maybe all though?) as well as their Pathway’s solution for stacking badges and providing a view of that badge path for participants.
It’s is all very early stage but those are the two platforms and vendors we have focused our time currently.
the emphasis (strong side) is the streamlining of the different offices and activities on campus
levels of proficiency is very much geared toward undergrads
aspects of gamification, but no peer support credit/badge
U of Pittsburgh – OCC outside the class curriculum
Monclair U (NJ second largest):
U of Wyoming: after level 3, career coach does storytelling appointment.
pilot is $5K and institutional can vary between $10-15K
The overuse of technology has overtaken drugs, sex and bullying as the biggest parental worry, according to the annual Brigham Young and Deseret News American Family Survey.
The American Academy of Pediatrics supports this idea of joint media engagement, basically engaging alongside your kids, as you suggest, whether with games, videos or social media. But isn’t there such a thing as too much screen time?
When people talk about addiction, I think it’s weird we want to blame the digital media because you can form unhealthy relationships with lots of things — food, sex, work, money.
We’re using screens as a babysitter.
There’s an interesting study that recently came out that looked at how parents and young children were interacting around devices. It showed that this joint media engagement is not happening.
I feel like part of the problem is that parents are getting essentially abstinence-only education, like in sex education. The research on that says, if all you hear is, “Just say no,” it has no positive effects.
Nobody actually thinks we’re going to have a world without [tech]. They’re aiming for that healthy relationship. A healthy relationship is you being able to have the autonomy to make good decisions.
Session 2: The Digital Age: The Impact and Future Possibilities Offered by Data and Technology
Thank you for registering to participate in the second Reimagining Minnesota State forum. The Forums have been designed to spark not only individual reflection but what we hope can serve as catalysts for discussions in a variety of venues. The Forum will be recorded and available for viewing on the Reimagining website.
Below are the directions whether you are attending in person or by live stream.
Catherine Haslag: Is there any research to show students retention in an online class vs a face-to-face course?
the challenge is not collecting, but integrating, using data.
silos = cylinder of excellence.
technology innovation around advising. iPASS resources.
adaptive learning systems – how students advance through the learning process.
games and simulations Bryan Mark Gill. voice recognition,
next 3 to 5 years AR. by 2023 40% with AR and VR
AI around the controversial. Chatbot and Voice assistants.
Unizin: 13 founding members to develop platform, Canvas, instructional services, data for predictive analytic, consistent data standard among institutions,
University innovation Alliance. Analytics as the linchpin for students’ success. graduation rates increase. racial gap graduation. Georgia State.
digital ethics. Mark Gill and Susana Nuccetelli. digital ethics: Susana Nuccetelli brought her students from the Philosophy Dept to Mark Gill’s SCSu Vizlab so we can discuss ethics and AI, last semester. jobrien@educause.edu
assistant vice president for student success and prevention Morgan State U
the importance of training in technology adoption
Dr. Peter Smith, Orkand Endowed Chair and Professor of Innovative Practices in Higher Education at University of Maryland University College
social disruption, national security issue,
Allan Taft Candadian researcher, 700 hours / year learning something. 14 h/w.
learners deserve recognition
free range learning.
how do we get a value on people from a different background? knowledge discrimination. we value it on where they learned it. then how you learned it and what you can do with it. talent and capacity not recognized.
we, the campus, don’t control the forces for a very first time. MIT undergrad curricula is free, what will happen. dynamics at work here. declining student numbers, legislation unhappy. technology had made college more expensive, not less. doing the right thing, leads to more disruption. local will be better, if done well. workplace can become a place for learning.
learning is a social activity. distance learning: being on the farthest raw of 300 Princeton lecture. there is a tool and there is people; has to have people at the heart.
what will work not only for MN, but for each of the campuses, the personalization.
staying still is death.
Panel discussion
what is the role of faculty in the vendor and discussions about technology. a heat map shows that IT people were testing the vendor web site most, faculty and student much less.
