2019 Study of Faculty and Information Technology
EDUCAUSE Center for Analysis and Research (ECAR)
Faculty satisfaction declines, but IT support is valued.
Faculty continue to ban student-owned devices, but is there a middle ground for effective learning?
more on educause and faculty in this IMS blog
keynote: equitable access to information
the type of data: wikipedia. the dangers of learning from wikipedia. how individuals can organize mitigate some of these dangers. wikidata, algorithms.
IBM Watson is using wikipedia by algorythms making sense, AI system
youtube videos debunked of conspiracy theories by using wikipedia.
semantic relatedness, Word2Vec
how does algorithms work: large body of unstructured text. picks specific words
lots of AI learns about the world from wikipedia. the neutral point of view policy. WIkipedia asks editors present as proportionally as possible. Wikipedia biases: 1. gender bias (only 20-30 % are women).
conceptnet. debias along different demographic dimensions.
citations analysis gives also an idea about biases. localness of sources cited in spatial articles. structural biases.
geolocation on Twitter by County. predicting the people living in urban areas. FB wants to push more local news.
danger (biases) #3. wikipedia search results vs wkipedia knowledge panel.
collective action against tech: Reddit, boycott for FB and Instagram.
Mechanical Turk https://www.mturk.com/ algorithmic / human intersection
data labor: what the primary resources this companies have. posts, images, reviews etc.
boycott, data strike (data not being available for algorithms in the future). GDPR in EU – all historical data is like the CA Consumer Privacy Act. One can do data strike without data boycott. general vs homogeneous (group with shared identity) boycott.
the wikipedia SPAM policy is obstructing new editors and that hit communities such as women.
Twitter and Other Social Media: Supporting New Types of Research Materials
how to access at different levels. methods and methodological concerns. ethical concerns, legal concerns,
tweetdeck for advanced Twitter searches. quoting, likes is relevant, but not enough, sometimes screenshot
social listening platforms: crimson hexagon, parsely, sysomos – not yet academic platforms, tools to setup queries and visualization, but difficult to algorythm, the data samples etc. open sources tools (Urbana, Social Media microscope: SMILE (social media intelligence and learning environment) to collect data from twitter, reddit and within the platform they can query Twitter. create trend analysis, sentiment analysis, Voxgov (subscription service: analyzing political social media)
graduate level and faculty research: accessing SM large scale data web scraping & APIs Twitter APIs. Jason script, Python etc. Gnip Firehose API ($) ; Web SCraper Chrome plugin (easy tool, Pyhon and R created); Twint (Twitter scraper)
Facepager (open source) if not Python or R coder. structure and download the data sets.
TAGS archiving google sheets, uses twitter API. anything older 7 days not avaialble, so harvest every week.
social feed manager (GWUniversity) – Justin Litman with Stanford. Install on server but allows much more.
legal concerns: copyright (public info, but not beyond copyrighted). fair use argument is strong, but cannot publish the data. can analyize under fair use. contracts supercede copyright (terms of service/use) licensed data through library.
methods: sampling concerns tufekci, 2014 questions for sm. SM data is a good set for SM, but other fields? not according to her. hashtag studies: self selection bias. twitter as a model organism: over-represnted data in academic studies.
methodological concerns: scope of access – lack of historical data. mechanics of platform and contenxt: retweets are not necessarily endorsements.
ethical concerns. public info – IRB no informed consent. the right to be forgotten. anonymized data is often still traceable.
table discussion: digital humanities, journalism interested, but too narrow. tools are still difficult to find an operate. context of the visuals. how to spread around variety of majors and classes. controversial events more likely to be deleted.
takedowns, lies and corrosion: what is a librarian to do: trolls, takedown,
the pilot process. 2017. 3D printing, approaching and assessing success or failure. https://collegepilot.wiscweb.wisc.edu/
development kit circulation. familiarity with the Oculus Rift resulted in lesser reservation. Downturn also.
An experience station. clean up free apps.
question: spherical video, video 360.
safety issues: policies? instructional perspective: curating,WI people: user testing. touch controllers more intuitive then xbox controller. Retail Oculus Rift
app Scatchfab. 3modelviewer. obj or sdl file. Medium, Tiltbrush.
College of Liberal Arts at the U has their VR, 3D print set up.
Penn State (Paul, librarian, kiniseology, anatomy programs), Information Science and Technology. immersive experiences lab for video 360.
CALIPHA part of it is xrlibraries. libraries equal education. content provider LifeLiqe STEM library of AR and VR objects. https://www.lifeliqe.com/
Access for All:
bloat code (e.g. cleaning up MS Word code)
ILLiad Doctype and Language declaration helps people with disabilities.
A Seat at the Table: Embedding the Library in Curriculum Development
embed library resources.
libraians, IT staff, IDs. help faculty with course design, primarily online, master courses. Concordia is GROWING, mostly because of online students.
solve issues (putting down fires, such as “gradebook” on BB). Librarians : research and resources experts. Librarians helping with LMS. Broadening definition of Library as support hub.
I explored the inside of a human nose and it convinced me that the real business in VR isn’t gaming, it’s all about training workers
- On Thursday, virtual reality company HTC VIVE announced its new headset called the Vive Focus, which is aimed at enterprises.
- It can be used for business collaboration, training and education, such as teaching medical students about sleep apnea, showing car designers how to fix and prototype a car, and conducting remote meetings in a 3D virtual space.
Although virtual reality is typically associated with consumers, such as for video gaming, the technology is increasingly being adopted for use in professional settings. VR and augmented reality are projected to grow to $162 billion by 2020, and more products are targeting enterprise use.
What makes this hardware significant is that it’s much simpler and more portable for customers to use, says Dan O’Brien, General Manager of the Americas at HTC VIVE (My note: so he said…). Other VR headsets that only developers may use might involve expensive hardware and require users to stay in one place.
VIVE Sync. This can be used to help employees collaborate with each other in a virtual space, especially when they work remotely. Each employee’s avatar can share ideas, show presentations, import images, show videos and more all in a 3D virtual space (My note: Second Life tried this; and failed; Do you have any NEW ideas, Dan?).
more on VR in this IMS blog