materials and resources was an equity issue with students locatedaround the globe. “I use [Blackboard], and so I keep all [additional course readings] there, too, soit’s really easy for students to access,” the faculty member stated.An issue both business and engineering faculty touched on was when UB did not have access tospecific resources or items that were needed, especially journal and news articles. As one facultymember stated: “I do know that sometimes with articles, and maybe this was more when I would be looking for something to post, but even sometimes with students, they might provide a link to, let's say The Washington Post or The New York Times, UB might not [have access]. And I understand that. They need to
"Desirable Characteristics of DataRepositories for Federally Funded Research" [1], outlining a set of recommended features andqualities that are considered desirable for data repositories handling research data resulting fromfederally funded research. The document establishes a set of standards and guidelines to ensurethat data resulting from federally funded projects is preserved in repositories that effectivelymanage and disseminate it.On August 25, 2022, Dr. Alondra Nelson, then Acting Director of OSTP, issued a Memorandum[2] recommending that all federal agencies formulate new plans or update existing ones,outlining their approach to ensuring public access to peer-reviewed publications and the researchdata associated with federally funded
assist as policies and guidelines evolve.Background and Literature ReviewThe genesis of this study came from questioning whether engineering faculty may find openscience participation a challenge given that they may be filing for a patent or work with anindustry partner with intellectual property rights concerns. Given that more journals and fundingagencies require some form of data discovery whether it be open or not, researchers will benegotiating open science practices more and more. Unlike some disciplines such as ecology andgenomics where data sharing is necessary to move the field of research forward, similar practicesin engineering have not been widely adopted. Furthermore, disciplines that have a data sharinghistory have further
Paper ID #43176Work in Progress: Exploring the impact of Generative AI on InformationSeeking Behavior of Engineering StudentsProf. Matthew Frenkel, New York University Matthew Frenkel is the engineering librarian at NYU’s Bern Dibner Library, and affiliated faculty in Mechanical Engineering at NYU Tandon. He is a member of the ASEE Engineering librarian division (ELD). Matthew’s background is in the experimental study of optical whispering gallery sensors. His current interests are focused on professional skill development and teaching practices.Hebah Emara, New York UniversityAmanda He, New York UniversityLindsay Anderberg, New
initial concern or opportunity. It ispossible to move between these steps repeatedly, if the observation step identifies a previouslyunknown underlying issue that needs to be resolved before a decision can be made one mightreturn to the pre-work stage. Or, if the results of observation do not provide evidence to supportimplementing a solution a new tool might be required for further study.There does not exist a one-size-fits-all approach for collecting data to aid in the decision-makingprocess. The intent of this paper is to explore some often used, but loosely defined, terms that areuseful in the pre-work stage and introduce a few designs for data collection. The researchers areplanning to use these instruments in a future user experience study
the ESLS andadvertised in the November issue of the ALA Bulletin [12]. Copies could be purchased for $1. Itis not known how many copies were sold or distributed to libraries. According to WorldCat, aunion catalog of materials held by tens of thousands of libraries worldwide, approximately 30libraries in the U.S. currently hold copies. A digitized version is also available in the HathiTrustDigital Library. In 1952, the ESLS merged with other ACRL sections to form a new group calledthe Pure and Applied Sciences Section (PASS). The Directory was not updated prior to themerger. More than two decades would pass before another directory of engineering librarianswould be published in 1975 by the Engineering Libraries Division of ASEE.6
changes. In a recent effort to re-establish arelationship between the Engineering department and University Library, the library adopted auser centered approach to build connections and establish relationships. Contrary to an “if webuild it, they will come” approach, this strategy prioritized a series of interviews and focusgroups with students, staff, and faculty within the division. This listening first approach hashelped us prioritize library resources in response to demonstrated curricula, research, andscholarship needs, many of which have changed over the past three years. This case studyexamines student focus groups and interviews. Major takeaways include new knowledge ofstudent research practices, detailed insights from minoritized
studentshave reported skipping buying a required textbook because of the cost. This can present a have-and-have-not scenario for students, putting those without the funds to purchase textbooks at adisadvantage. Backing this claim up, a study by Colvard et al. [5] found that replacing traditionaltextbooks with OER resulted in lower DFW rates (percentage of students getting a D, an F, orwithdrawing from a course) among Pell Eligible students in the study. OER can not only helpstudents save money but can also help narrow the achievement gap between well-off studentsand disadvantaged students. A 2017 survey of over 2,700 higher education faculty summarizedboth the challenges facing OER, the low awareness, and significant perceived barriers toadopting, but
members' pressure to focus theirtime on producing a substantial volume of grant-funded research publications and the effortexpended to develop a new course or modify an existing course [2]. Felder and Brentrecommended the following considerations for STEM instructors who evaluate textbook options: ● book reviews, ● match of content and the content order to the course plan, ● instructor supports (test question banks, illustrations, and other materials to support lectures), ● learner supports (self-tests, practice problems with answers), ● inclusion of multimedia (illustrations, tutorials, equations), and ● cost to students [2].However, newer faculty may be advised to replicate what their peers have already developed orto
majority of Americans have heard of ChatGPT, but few have tried itthemselves," Pew Research Center, Washington, DC, 2023. Available:https://www.pewresearch.org/short-reads/2023/05/24/a-majority-of-americans-have-heard-of-chatgpt-but-few-have-tried-it-themselves/.[6] L. Coffey, "Most students outrunning faculty in AI use, study finds," Inside Higher Ed, 2023.Available: https://www.insidehighered.com/news/tech-innovation/artificial-intelligence/2023/10/31/most-students-outrunning-faculty-ai-use.[7] M. Jakesch, J. T. Hancock and M. Naaman, "Human heuristics for AI-generated language areflawed," Proceedings of the National Academy of Sciences of the United States of America(PNAS), vol. 120, (11), 2023. Available: https://www.pnas.org/doi/10.1073/pnas
GL production, dissemination, and retrieval.Problems often surface around methods of access, collection, description, and long-termpreservation, though these problems manifest in different ways before and after theimplementation of machine-readable catalogs and the rise of the internet [2], [3]. Savić explainshow in the late 1990s, as libraries digitized print collections onto new digital formats like CD-ROMs, they encountered challenges related to the quality of the scanned content as well as long-term preservation issues [4]. The internet then allowed for an explosion in the amount and typeof born-digital GL content produced by an increasing number of entities. This new productionand dissemination landscape, when paired with a lack of
and law changes are bringing to light newsafety issues and public risks that were hard to imagine a decade ago. One example includes theNational Fire Protection Association (NFPA) Standards Council’s recent approval of thedevelopment of NFPA 420: Standard on Fire Protection of Cannabis Growing and ProcessingFacilities [22]. As technology and artificial intelligence advance and get integrated into thepublic’s everyday lives, the need for a basic understanding of technical standards is necessary.This need is especially prevented in undergraduate engineers; however, survey results show thatsuch information would benefit new hires and engineering professionals as well.When proposed a pre-designed course on technical standards basics, survey
Paper ID #38580Using Decision-based Learning to Develop Expert Information LiteracyBehaviors in Engineering UndergraduatesMr. David Pixton, Brigham Young University David Pixton is a subject liaison at the Harold B. Lee Library at Brigham Young University. In this role, he is responsible for providing research training and assistance to students and faculty within the majority of engineering and technology fields offered at the university. He holds degrees in Mechanical Engineer- ing and Library & Information Science. David’s current research is focused on improving learning in a library environment, including the
success as a touring hip-hop musician and activist.Bethany Maureen Leonardi, Bethany Leonardi has had a passion for research from the moment she entered university. She obtained her Bachelor of Science in Forensic Science from Arizona State University where she contributed to her first published research project. She then achieved her Master of Arts in Library and Information Science from the University of Arizona. While completing her MLIS, she contributed to a research project concerning locating Native American research in engineering databases. During this time she realized that she had an interest and a talent for coding which she is currently pursuing independently. ©American Society for
the Faculty of Information Studies (University of Toronto) in 2005. Mindy worked at the UTM campus as a Science Liaison Librarian for 11 years before becoming the Head of the Engineering & Computer Science Library at the St. George campus in 2016. In the times in between, she worked in education in a variety of different capacities, both nationally and internationally. ©American Society for Engineering Education, 2023 Survey of Research in Engineering Librarianship, 2015-2019AbstractThis work-in-progress research study aims to examine what research was conducted pertaining toengineering librarianship from 2015-2019 (pre-pandemic) with a particular focus onmethodology. Peer