Dr. Sivaprakasam and I are developing a microcredentialing system for your class.
The “library” part has several components:
One badge for your ability to use the databases and find reliable scientific information in your field (required)
submit your results in the respective D2L assignment folder. A badge will be issued to you after the assignment is graded
One badge for completing the quiz based on the information from this library instruction (required)
a badge will be issued to you automatically after successful completion of the quizz
One badge for your ability to use social media for a serious, reliable, scientific research (required)
submit your results in the respective D2L assignment folder. A badge will be issued to you after the assignment is graded
One badge for using the D2L “embedded librarian” widget to contact the librarian with questions regarding your class research (one of two optional)
A badge will be issued to you after your post with your email or any other contact information is submitted
One badge for helping class peer with his research (one of two optional)
submit your results in the respective D2L assignment folder. A badge will be issued to you after the assignment is graded
Collecting two of the required and one of the optional badges let you earn the superbadge “Mastery of Library Instruction.”
The superbadge brings points toward your final grade.
Once you acquire the badges, Dr. Sivaprakasam will reflect your achievement in D2L Grades.
If you are building a LinkedIn portfolio, here are directions to upload your badges in your LinkedIn account using Badgr:
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 how college students 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:
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
Evaluating Web Resources
Google or similar; Yahoo, Bing
Google Scholar
Reddit, Digg, Quora
Wikipedia
Become a member of professional organizations and use their online information
Use the SCSU library page to online databases
Building Your List of Keywords
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?
InterLibrary Loan
Copyright and Fair Use
Author Rights and Publishing & Finding Author Instructions for Publishing in Scholarly Journals
Higher education institutions are experiencing radical change, driven by greater accountability, stronger competition, and increased internationalization. They prioritize student success, competitive research, and global reputation. This has significant implications for library strategy, space, structures, partnerships, and identity. Strategic responses include refocusing from collections to users, reorganizing teams and roles, developing partnerships, and demonstrating value. Emphasis on student success and researcher productivity has generated learning commons buildings, converged service models, research data management services, digital scholarship engagement, and rebranding as partners. Repositioning is challenging, with the library no longer perceived as the heart of the campus but institutional leadership often holding traditional perceptions of its role.
third Library 2.019 mini-conference: “Emerging Technology,” which will be held online (and for free) on Wednesday, October 30th, from 12:00 – 3:00 pm US-Pacific Daylight Time (click for your own time zone).
Tomorrow’s technologies are shaping our world today, revolutionizing the way we live and learn. Virtual Reality, Augmented Reality, Artificial Intelligence, Machine Learning, Blockchain, Internet of Things, Drones, Personalization, the Quantified Self. Libraries can and should be the epicenter of exploring, building and promoting these emerging techs, assuring the better futures and opportunities they offer are accessible to everyone. Learn what libraries are doing right now with these cutting-edge technologies, what they’re planning next and how you can implement these ideas in your own organization.
This is a free event, being held live online and also recorded. REGISTER HERE
https://sched.co/JAqk
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.
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.
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
engagement option
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,
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/
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.
counting how many times students use electronic library resources or visit in person, and comparing that to how well the students do in their classes and how likely they are to stay in school and earn a degree. And many library leaders are finding a strong correlation, meaning that students who consume more library materials tend to be more successful academically.
carefully tracking how library use compares to other metrics, and it has made changes as a result—like moving the tutoring center and the writing lab into the library. Those moves were designed not only to lure more people into the stacks, but to make seeking help more socially-acceptable for students who might have been hesitant.
a partnership between the library, which knows what electronic materials students use, and the technology office, which manages other campus data such as usage of the course-management system. The university is doing a study to see whether library usage there also equates to student success.
The issue of privacy also emerged during a session on libraries and data at the annual Educause conference earlier this month.
Inclusion of 3D Artifacts into a Digital Library: Exploring Technologies and Best Practice Techniques
The IUPUI University Library Center for Digital Scholarship has been digitizing and providing access to community and cultural heritage collections since 2006. Varying formats include: audio, video, photographs, slides, negatives, and text (bound, loose). The library provides access to these collections using CONTENTdm. As 3D technologies become increasingly popular in libraries and museums, IUPUI University Library is exploring the workflows and processes as they relate to 3D artifacts. This presentation will focus on incorporating 3D technologies into an already established digital library of community and cultural heritage collections.
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On behalf of the 2018 LITA Library Technology Forum Committee, I am pleased to notify you that your proposal, “Virtual Reality (VR) and Augmented Reality (AR) for Library Orientation: A Scalable Approach to Implementing VR/AR/MR in Education”, has been accepted for presentation at the 2018 LITA Library Technology Forum in Minneapolis, Minnesota (November 8-10).
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Mark Gill and Plamen Miltenoff will participate in a round table discussion Friday. November 9, 3:30PM at Haytt Regency, Minneapolis, MN. We will stream live on Facebook: https://www.facebook.com/InforMediaServices/
U of MN has a person, whose entire job is to read and negotiate contracts with vendors. No resources, not comfortable to negotiate contracts and vendors use this.
If you can’t open it, you don’t own it. if it is not ours… we don’t get what we don’t ask for.
libraries are now developing plenty, but if something is brought in, so stop analytics over people. Google Analytics collects data, which is very valuable for students. bring coherent rink of services around students and show money saving. it is not possible to make a number of copyright savings. collecting such data must be in the library, not outside. Data that is collected, will be put to use. Data that is collected, will be put to uses that challenge library values. Data puts people at risk. anonymized data is not anonymous. rethink our relationship to data. data sensitivity is contextual.
stop requiring MLSs for a lot of position. not PhDs in English, but people with specific skills.
perspective taking does not help you understand what others want. connection to tech. user testing – personas (imagining one’s perspective). we need to ask, better employ the people we want to understand. in regard of this, our profession is worse then other professions.
pay more is important to restore value of the profession.
Stanford – Folio, Cornell, Duke and several others. https://www.folio.org/ Alma too locked up for Stanford.
Easy Proxy for Alma Primo
Voyager to OCLC. Archive space from in-house to vendor. Migration
Polaris, payments, scheduling, PC sign up. Symphony, but discussing migration to Polaris to share ILS. COntent Diem. EasyProxy, from Millenium no Discovery Layer to Koha and EDS. ILL.
WMS to Alma. Illinois State – CARLY – from Voyager to Alma Primo. COntent Diem, Dynex to Koha.
Princeton: Voyager, migrating Alma and FOlio. Ex Libris. Finances migrate to PeopleSoft. SFX. Intota
RFPs – Request for Proposals stage. cloud and self-hosted bid.
Data Preparation. all data is standard, consistent. divorce package for vendors (preparing data to be exported (~10K). the less to migrate, the better, so prioritize chunks of data (clean up the data)
Data. overwhelming for the non-tech services. so a story is welcome. Design and Admin background, not librarian background, big picture, being not a librarian helps not stuck with the manusha (particular records)
teams and committees – how to compile a great team. who makes the decision. ORCHID integration. Blog or OneNote place to share information. touch base with everyone before they come to the meeting. the preplanning makes large meetings more productive.
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Using Design Thinking — Do we really want a makerspace?
Anne Shelley, Illinois State University, Milner Library
Julie Murphy, Illinois State University, Milner Library
Paul Unsbee, Illinois State University, Milner Library
makerbot replicator 3d printer
one touch studio 4 ready record studio. data analytics + several rooms to schedule.
The 100-page study presents data from 1,140 college students from 4-year colleges in the United States concerning their use of specialized library technology, group and individual study rooms. The report enables its end users to answer questions such as: which students use individual and group study rooms? Which use specialized technology rooms? How often do they use them?
Data in the report is presented in the aggregate and then broken out separately for sixteen different variables including but not limited to: college grades, gender, income level, year of college standing, SAT/ACT scores, regional origin, age, sexual orientation, race & ethnicity, college major and other personal variables, and by Carnegie class, enrollment size and public/private status of the survey participants institutions of higher education.
