This open book by Catherine Schmidt-Jones has units on time elements (rhythm and meter), pitch elements (timbre, melody, and harmony), and the combination of these elements. The textbook is being provided in both PDF and html formats for download.
With so many freely available resources online, choosing OER can be overwhelming. This checklist contains some suggestions for faculty when choosing resources. The checklist contains items to consider for relevance, accuracy, production quality, accessibility, interactivity, and licensing.This guide is a creation of the BC OEL, a group of BC postsecondary librarians working together to support the use of quality OER. Find out more at https://open.bccampus.ca
Answers to frequently asked questions about open educational resources (OER) for K-12 educators. Prepared with support from the Consortium for School Networking (CoSN), Creative Commons (CC), Creative Commons – United States (CC-USA), the Institute for the Study of Knowledge Management in Education (ISKME), the State Educational Technology Directors Association (SETDA), and the Scholarly Publishing and Academic Resources Coalition (SPARC).
Peer-reviewed articles in this special issue:
- “Responsible AI Practice in Libraries and Archives: A Review of the Literature” by Sara Mannheimer, Natalie Bond, Scott W. H. Young, Hannah Scates Kettler, Addison Marcus, Sally K. Slipher, Jason A. Clark, Yasmeen Shorish, Doralyn Rossmann, and Bonnie Sheehey. The authors explore the existing literature to identify and summarize trends in how libraries have (or have not) considered AI’s ethical implications.
- “It Takes a Village: A Distributed Training Model for AI-based Chatbots” by Beth Twomey, Annie Johnson, and Colleen Estes, discusses the steps taken at their institution to develop and implement a library chatbot powered by a large language model, as well as lessons learned.
- “‘Gimme Some Truth’ AI Music and Implications for Copyright and Cataloging” by Adam Eric Berkowitz, details modern developments in AI-assisted music creation, and the resultant challenges that these surface regarding copyright and cataloging work.
- “Adapting Machine Translation Engines to the Needs of Cultural Heritage Metadata” by Konstantinos Chatzitheodorou, Eirini Kaldeli, Antoine Isaac, Paolo Scalia, Carmen Grau Lacal, and Mª Ángeles García Escrivá provides an overview of the process used to hone general-use machine translation engines to improve their outputs when translating cultural heritage metadata in the Europeana repository from one language to another.
- “Exploring the Impact of Generative Artificial Intelligence on Higher Education Students' Utilization of Library Resources: A Critical Examination” by Lynsey Meakin applies the Technological Acceptance Model to higher education students’ perceptions and adoption of tools using generative AI models.
Recurring content:
- Public Libraries Leading the Way: “Activating Our Intelligence: A Common-Sense Approach to Artificial Intelligence” by Dorothy Stoltz
- ITAL &: “The Jack in the Black Box: Teaching College Students to Use ChatGPT Critically” by Shu Wan
With over 305,000 open educational resources cataloged on OER Commons since 2007, ISKME works to make learning and knowledge sharing more participatory, equitable, and open, in pursuit of a more just society.
Those resources don’t describe themselves, though. The metadata of every resource in OER Commons was put together by someone before it got added to our collection, and then a librarian at ISKME reviewed it for quality – and that’s a lot of work, both in and out of house!
How much work? Well, if a librarian were to spend just five minutes on each record that ever found its way into our collection, that would take 25,433 hours. That’s enough time to…
- do 123 round trips to the moon (time to finally take that leave you’ve been saving)
- get 3,178 full nights of sleep (unless you’re a cat, then it’s only 1,413)
- walk 8 times from Cape Town to Copenhagen (we’re gonna need a bigger passport)
- work full-time for over 13 years (don’t worry, that excludes 4 weeks vacation)
All of that to say, metadata takes time.
It can be a challenge to balance metadata creation with other tasks like maintaining existing records, curation work, and supporting educational partners with curation. As such, we’re always on the lookout for tools and techniques that boost our capacity without compromising quality.
In 2023 and 2024, we’re testing out how generative AI tools like large language models can support our work in the OER landscape. This poster highlights some of the places where we’ve had successes, along with possible future applications that we think are both useful and doable.
A brief history and introduction of Library and Information Science.
Reading List:
Bates, M. "The Invisible Substrate of Information Science." https://pages.gseis.ucla.edu/faculty/bates/substrate.html
Malik, H. "Relationship of Library Science with Information Science. Similarities and Differences." https://www.slideshare.net/Libcorpio/01-ls-vs-is
"Toronto's amazing science fiction library, the Merril Collection, has a new head librarian." http://boingboing.net/2017/08/07/only-a-mother.html
Alexander J.A.M. van Deursen, Jan A.G.M. van Dijk; Using the Internet: Skill related problems in users’ online behavior, Interacting with Computers, Volume 21, Issue 5-6, 1 December 2009, Pages 393–402, https://doi.org/10.1016/j.intcom.2009.06.005
"Why Page 2 of Google Search Results is the Best Place to Hide a Dead Body." https://digitalsynopsis.com/tools/google-serp-design/
Graham, R. "Long Overdue: Why public libraries are finally eliminating the late-return fine." http://www.slate.com/articles/arts/culturebox/2017/02/librarians_are_realizing_that_overdue_fines_undercut_libraries_missions.html