specific courses nor knewof opportunities to enhance engagement among the STEM students. To address this gap, thelibrarian team secured an internal library research grant, to conduct an online survey and observestudents' skills in practice. The original plan was to spend the Fall 2023 semester conducting anonline survey to assess student perceptions of their information literacy skills, and the Spring2024 observing students’ information literacy skills in practice. However, the IRB (InstitutionalReview Board) approval process required substantial procedural planning that the team did notinitially anticipate which resulted in time constraints. Due to timeframe constraints, theobservation component of the study was omitted. To compensate for
. 4. The Physical and Mathematical Sciences (PAMS) LibraryHighlighting these specialized spaces promotes a more distributed and discipline-specificapproach to PSUL utilization. This strategy aligns with a broader goal of fostering a moreintegrated and effective use of library resources across the STEM and health disciplines.In the first three years of planning these events, the goals discussed here were not explicitlyarticulated during the planning process. However, these themes were frequently discussed whenreflecting on events and therefore the spirit of these goals were present from the beginning. Thefirst iterations of PSUL’s STEM Libraries graduate student outreach began with the GraduateWriting Retreat and the Graduate Mixer, two large
wasoriginally meant to be a laboratory, but a collaborative effort between the Deans of Engineeringand the Libraries led to the transition. No books are held on site; instead, the space is used as astudent study area, with different sections of the library for individual and group study.[3]At Cornell University, the Engineering Library completed a move to a fully bookless format in2011. The transition came after budget cuts necessitated a consolidation of several subjectlibraries. The entire engineering print collection, including course reserves and reference books,was moved to the main library. All planning was done internally, with the renewed space nowfocused on electronic collections and providing more study areas for students to use.[4]In a two
generalist and non-judgmental space, while also 2surfacing and articulating some of the rising skepticism and anxieties associated with AI’sencroachment in academia. In this sense, it seemed logical for BUL to be positioned atthe forefront of organizing and facilitating discussions related to the adoption of radicallynew technologies, especially given that, in the abstract, the academic library’s role withinthe university structure traditionally relates to the acquisition and stewardship ofresearch tools and resources. Beginning in the summer of 2023, a planning committee was formed with fourmembers across various library staffing units, including Niamh
Information Seeking Models, Project-Based Learning, Hybrid Learning Environments and Qualitative Research Methods. ©American Society for Engineering Education, 2025 Information Seeking and Sensemaking in Engineering Education: A Framework for Capstone Projects AbstractThe ACRL Research Planning and Review Committee described the top trends in academiclibraries during 2024, drawing on research and initiatives from librarians across the profession,highlighting the constant change libraries face. Makerspaces and tech spaces are one of those toptrends, fostering collaborations between engineering departments and academic libraries,creating opportunities
that theyare specialized, interdisciplinary, and uncommon at both the undergraduate and graduate levels.As a result, librarians or subject specialists who liaise with these areas can encounter a lack ofresources and knowledge to support the students and faculty in these programs. A group oflibrarians who have NAMOE programs as part of their institutions recently started a dedicatedgroup, combining elements of communities of practice and peer group mentoring to discuss howbest to support these programs and each other as professionals with varying experience in thissubject area. Plans include the development of a resource similar to chapters in Osif’s Using theEngineering Literature, a crucial source for librarians supporting engineering
identifiedthemes that libraries can use to contribute to the academic success of students with disabilities.Results –We evaluated the composition of the dataset, determining the most highly cited authorsand publications related to this topic. We also used theme analyses to identify terms that haveincreased or decreased in usage over time. The results can also provide insights into futureresearch directions related to the transition to higher education for students with disabilities.Conclusions – Our analysis yielded several insights for librarians in higher education, includingfocus on universal design in both instruction planning and space allocation, opportunities foroutreach and engagement with campus entities supporting students with disabilities, and
current progress of e-REF and outlines our plans for its currentimplementation and evaluation. We describe its learning outcomes, structure, and preliminaryassessment strategies designed to measure its effectiveness in teaching literature review skills,engineering documentation, and data visualization techniques.Project Approach and Experimental Methodse-REF: Learning OutcomesIn the first-year engineering program at NC State University, we provide a project-based courseemphasizing teamwork, task management, and problem-solving. Students learn projectmanagement principles, engineering design, computer-aided design, data analysis, and prototypedevelopment and presentation. The overarching learning outcomes of this course include theability to
communication by authoring their own work,critiquing the work of others, and responding to others’ critiques of their work. Some of thecommunication skills students should develop in this course are planning, conducting, andarticulating the importance of academic research; differentiating appropriate style and tone ofcommunicated ideas based on intended audience; and implementing proper citation usage,typically in IEEE style. Students should also become familiar with constructing a variety ofprofessional and academic documents based on standard formats and conventions, includinggrant applications and presentation proposals.Course assignmentsWriting assignmentsIt was important to both authors for the graduate students to trust that we were not going
] propose ways to make library instructionmore inclusive of people with invisible disabilities utilizing UDL.Other LIS scholars have explored inclusive practices across library contexts. For example, intheir 2009 article, librarians Chodock and Dollinger discuss their use of what they call“Universal Design for Information Literacy (UDIL),” a library-specific application of UDL.Zhong (2012) offered a UDL-based lesson plan to teach Boolean search strategies [56].Subsequent literature has expanded on this work, addressing topics such as general overviews ofdisability inclusion and UDL in LIS [57], [58], [59], [60], [61], gradual implementation of UDLpractices into teaching [54], staff and faculty training [62], [63], website information
projects outside of classroominstruction[19].Before we develop instruction plans and curricular materials, it is helpful to consider whatapproaches are being taken in higher education. While this topic is emerging, many of thecurrent examples include courses that focus on English composition using AI tools suchChatGPT [20], [21] and efforts to teach prompt engineering [22], however our project aims to gobeyond those specific tools and skills. Following are examples of AI literacy instruction that hasbeen integrated into existing courses.Fyfe included AI literacy instruction in a course titled “Data and the Human.”[23] With supportfrom the University Library in using AI tools, students wrote an essay that integrated contentfrom a text-generating
see that it was auseful tool when used correctly. The powerful moments of change and discoveryhappened not through a lecture, but in editing prompts to generate the desiredoutput and learn the capabilities and limitations of GenAI in engineering. P6described their experience in using GenAI as interacting with a “teaching tool”.All of the participants realized the tutor-like homework help that GenAI couldprovide on engineering assignments and all expressed plans to use it to check theirwork and get help on problems when they were stuck. The participants varied intheir beliefs of the ethical use of GenAI beyond homework, but all described aboundary of some sort that should not be crossed. P1 described his moving line ofmorality based on the
data scientist would be thenatural instructor to lead the data-analysis side of the project, an academic librarian would bemost appropriate to discuss the information literacy skills. Accordingly, we developed a programwhere the data science projects would also include an information literacy facet to be guided byan engineering librarian.This work-in-progress paper discusses the lessons learned from this initial collaboration,feedback from the students who participated in the project, and our plans to continue thecollaboration into the Spring 2025 semester. Quantitative surveys of students in the projectsexhibited positive trends with respect to their familiarity with statistical concepts and increasedconfidence in their data science skills
devising a search plan,preliminary searching was undertaken using Google Scholar to better understand the terms usedto describe evidence synthesis services and service development. Once the preliminary resultswere reviewed, the team determined that they would search general literature databases,engineering literature databases, and library and information studies literature databases forfurther results. The team determined search assignments based on each member’s ability toaccess databases at their institution. The databases searched were: • Dimensions* • Web of Science • Scopus • Engineering Village, including Compendex and Inspec • Library Literature and Information Science Full Text • Library, Information Science and
doesn’t know well. In those cases, she is morelikely to turn to Google or ChatGPT so she can find out for herself rather than having to asksomeone.Rose is studying on a foundation year. The Engineering Foundation program at the pilotuniversity aims to introduce students to a broad range of engineering related concepts.Students who successfully pass this year are automatically accepted onto any of theuniversity’s engineering degree courses or may choose to apply to different universities. Thiswas initially Rose’s plan: she had hoped to study at a different university (which shedescribed as her “dream university”), but had been told that she would need to complete afoundation year first, which her dream university did not offer. She therefore
, the goal of research analysis is not to reduce scholarly contributions to a set ofmetrics, but to offer meaningful, contextualized information that can inform planning, supportstrategic initiatives, and foster reflection on scholarly activity and research impact.Software & ToolsResearch analysis can also involve a variety of software-based tools and coding in languagesincluding Python or R. Unlike the proprietary/subscription resources listed above, many of thesetools are open access or at least at a more accessible price point for many libraries. Thesesoftware and tools also tend to have active support networks online with many YouTube videos,Reddit threads and even code packages on GitHub. Here we highlight some of the numeroussoftware
in academic and research libraries.Keywords: Bibliometric Analysis, Automated Reporting, Data Extraction, Research Impact,Academic LibrariesIntroductionEvaluating research impact and analyzing scientific collaborations are fundamental tasks thatcontribute to the advancement of knowledge and strategic planning in academic institutions.Bibliometric analysis is a crucial tool in this context, as it provides quantitative measures ofscholarly output and influence 1,2 . Bibliometrics uses citation counts, publication metrics, andcoauthorship networks, allowing researchers and funding agencies to assess the dissemination andreception of scientific work 3,4 .Bibliometric analysis has evolved significantly over the past decades. Foundational works