York University Lindsay Anderberg is the archivist and user services librarian at New York University Tandon School of Engineering in Brooklyn, New York. She received her MSLIS with a concentration in rare books and special collections from Long Island Universityˆa C™s PalMr. Samuel R. Putnam, New York University ©American Society for Engineering Education, 2024 Work in Progress: Exploring the impact of ChatGPT’s Generative AI on Information Seeking Behavior of Engineering StudentsAbstractThe user and application base of generative AI tools has seen tremendous growth over the pastyear. In response, numerous papers have been published evaluating
collaborator inengineering education, and they are working on a study together to help understand andintervene on this topic. Another aim of the interdisciplinary PhD program that is not yet infused is a trulycollaborative assignment. Due to the interdisciplinary nature of the program, the students in theclass have very diverse engineering backgrounds. This is one of only a few classes where they 13have the opportunity to partner across disciplines within a graduate course. Designing a newassignment or redesigning an existing assignment to allow for more collaboration is anothermajor goal of the course. Despite a wealth of campus resources to
librarians in course-integratedinstruction, gaps in their own knowledge, and graduate student feedback to select topics [10].Regardless of the mechanisms of topic selection, such decisions can be improved throughutilization of various tools.The PCRN Employability Skills Framework was developed in 2012 and revised in 2020 by RTIInternational under contract with the U.S. Department of Education Office of Career, Technical,and Adult Education [13]. It was developed by assessing numerous previous studies; thecombined results are presented as a framework. It contains three areas of focus, AppliedKnowledge, Effective Relationships, and Workplace Skills divided into nine frames, each ofwhich contains between one and nine lesson components for a total of 42
educators at U.S.-basedcolleges and universities [22], and both researchers in this study have primarily learned andtaught in U.S.-based institutions. There may simply be differences in previous IL instruction andpractice opportunities in the education systems in international students’ countries of origin. Thatsaid, the results demonstrate a clear need for more support and practice with the mechanics ofcitation, as well as the ethics of attributing credit for the information being cited. On the otherhand, the graduate students did seem to excel at finding a variety of sources that met theinformation need, and generally selecting high-quality, refereed sources, suggesting a higherlevel of comfort with accessing and selecting scholarly literature
important. Graduate students are likely to beginwith varying levels of understanding of all aspects of critical citation practice and potentiallyeven citation practice in general. So to begin with, educating students on citation equity practiceis important. I propose creating a module, based on the already developed ones described in thepreceding section, but tailored to CEE, which would be a part of the graduate student’scoursework at the beginning of their degree. This module would give a base to all graduatestudents and introduction to critical citation practice. In addition, there are some existingreferences that would make a useful supplement including: • Intersectional Inequalities in Science – A tool to explore citations across field
. The authors believe additional research into the topic may prove fruitful indetermining if it is due to curriculum constraints, resource availability, or other variables.Overall, participants affirmed that they “strongly agree” with recommending a course ontechnical standards to early career/new hires as much as to students. However, the responsesadditionally show that individuals at various educational levels would recommend a technicalstandards course to their employers and their colleagues. This information reaffirms that theburden of technical standards education in engineering does not lie solely in academia. Successin technical standards education of the next generation of engineers is contingent on supportfrom and communication between
challenges: education, awareness, appreciation, accessibility,interpretation, application, and logistics. Participant responses highlight five reasons technicalstandards education is important: safety/best practice, practical application, expectations of theprofession, employment and business, and foundation/career development.IntroductionThe development, use, and education of technical standards have blossomed in the past fewdecades. While these documents bring great order and structure to the engineering field andbeyond, major challenges persist for users, educators, and students.In general, technical standards are agreed-upon procedures, tests, and protocols established in awritten format through consensus among a group of interested and expert
Paper ID #42769Engineering Research in Transition: Assessing Research Behavior while Adaptingto Access Changes in Library ResourcesHannah Rempel, Oregon State UniversityAdam Lindsley, Oregon State University Adam Lindsley is the Engineering Librarian at Oregon State University. He teaches graduate research ethics, science/information literacy for undergraduates, and library research skills for both. Research interests include information literacy, data management, photogrammetry, pedagogy, and learning technology.Taylor Ralph, Oregon State University ©American Society for Engineering Education, 2024
professional library career started in 2006 in the law firm libraries of Latham & Watkins in San Francisco, California, and Brussels, Bel- gium. Erin is a 2021-2022 Association of Research Libraries (ARL) Leadership Fellow. She is also a graduate student in Applied Cognitive Science and Human Factors at Michigan Tech, where her research interests include the application of cognitive psychology techniques to the academic search domain and information literacy teaching and learning. ©American Society for Engineering Education, 2023 Undergraduate Students Experience Cognitive Complexity in Basic Elements of Library ResearchAbstract Google’s success in building a
library resources and offer guidance on topics such as standards, patents, information evaluation, copyright, and the Creative Space and Tool Library. ©American Society for Engineering Education, 2024 Developing a User Experience Study (Work in Progress)AbstractThe Lichtenberger Engineering Library is interested in examining how people interact withphysical spaces and services to discover trends, high use points, and needs. To accomplish this,the library has begun the process of developing a multi-phase user experience study. The path toperforming a user experience study starts long before doing any work.First, a review of user experience studies was conducted. This review looks at a wide
will cover major engineering databases used in comprehensive searches, includingEngineering Village and more. Each database’s search implementation will be explained usingan example search on hearing disabilities in computing education, which was developed for ascoping review by the authors in collaboration with a faculty member and a graduate studentfrom the Computer Science department at Virginia Tech. Aspects of advanced searching such astruncation, proximity searching, exact phrases, and controlled vocabulary/index terms will alsobe highlighted. Overall, these databases require more research into how to construct searchescompared to some interdisciplinary databases, but still have their place in finding qualityengineering research
(see Figure 1). 1 2 Scenarios ... nFigure 1. Building expert schemata through practice problem solving using EDMPrior Studies with DBL in University CurriculaFormal studies with DBL in a university environment are somewhat limited at present, as themethod is still relatively new. Nevertheless, the available literature does represent a variety ofsubject areas and teaching levels, including beginning-level [10] to graduate-level [11] studentslearning topics in engineering, chemistry, thesis composition, religion, and information literacy.Likewise, DBL has also been applied in a variety of instructional settings, including full semestercourses [12], single course
uneven quality of graduates. A variety of librarian trainingprograms existed with different entrance requirements. Some schools were affiliated withuniversities while others operated within public and state libraries. Only a handful of programsoffered advanced degrees in library science and few library school instructors had advanceddegrees. In 1948, the American Library Association (ALA) passed a resolution calling forlibrarian education at the graduate level only. A few years later, in 1951, new accreditationstandards were established for library schools. During the 1950s and early 60s, the master’s inlibrary science (MLS) became the norm for professional librarians [8].The 1940s also saw improvements to working conditions for academic
context of library inclusionefforts.About the Corpus and ZoteroDeveloping the corpus for analysis involved a few different avenues. The authors employed amulti-database search approach, simultaneously using their institution’s discovery layer,Educational Resources Information Center (ERIC) database, Web of Science, and GoogleScholar to search for “belonging and STEM” which returned an overwhelming number of resultsthat were not all applicable. The results were culled using “belonging AND STEM ANDundergraduate student.” After identifying articles central to the topic, the authors used citationchaining to narrow in on related research articles. This research strategy allows researchers theability to review both cited works from an article and works
thinking is a user-centered design process that utilizes empathetic techniques to engagewith users to understand their needs and experiences to design a product that addresses achallenge [4]. It is used in educational institutions as a constructivist approach to teach problemsolving skills through a creative and iterative process [5]. There are various frameworks thatexamine design thinking notions, often aligning similar methodologies to facilitate theacquisition of skills in communication and problem solving. In essence, design thinking promptsa group of designers to identify needs and acknowledge experiences of a target audience,generate a problem statement, brainstorm ideas to solve that problem, fabricate a representationof an idea and gain
papers are focused onthose teaching in the health sciences [23-26]. It should also be noted that the papers on theprofessional development of faculty or teaching needs of health sciences faculty do not tie in thelibrary or librarians into the conversation.The Hixson, et al. paper does report on the teaching needs of engineering faculty, specificallyfocusing on future engineering faculty [27]. They share how they developed the RisingEngineering Education Faculty Experience (REEFE), “an innovative faculty apprenticeshipprogram for engineering education graduate students.” The program looks to address severalareas when preparing new and future engineering faculty, including teaching needs. Like theother papers cited thus far, neither the library
Paper ID #36919Connecting Students to Discipline Specific Research in Their First Year:A Collaboration between Engineering Faculty and LibrariansMr. Paul R. Hottinger, California State Polytechnic University, Pomona Paul R. Hottinger is an associate librarian in the Research & Instruction Services in the University Library. Paul is the subject liaison to the College of Engineering and is also a professor for the library’s credit- bearing general education course. Paul earned his Master’s in Library and Information Science from San Jose State University. His research focuses on first-year students, sense of belonging
eventually eclipse any concerns aboutinsufficient time.Some specifics for consideration by subject librarians who support engineering include guidanceon finding general, subject, or institutional repositories most suited for engineering data. Externalrepositories were not widely used by the researchers in this survey, which means identifyingappropriate repositories could help eliminate one barrier. Other areas for consideration couldinclude guidance on licenses and discussion on the value of sharing data as a collaborativescience practice. Outreach like this could move some to make their data as open as possible andas closed as necessary. Additionally, if aspects of RDM practices are introduced into graduateand even undergraduate education, it
in Higher Education While artificial intelligence (AI) has existed in some form since the 1930s, the pace ofadvancements has accelerated significantly in the last decade. Modern AI is rooted in AlanTuring’s theory of computation, which defined the “Turing machine” as a set of logical rules thatcould, generally, be used to compute solutions to nearly any problem [1]. The set of logical rulesknown as the Turing machine later developed into the concept of neural networks, the backboneof most AI technologies today. Many major AI tools today are pre-trained to use a neuralnetwork to decipher a specified dataset; this automated process is called machine learning. Thispaper will centers on application of a subset of machine learning AI
by theUniversity of Washington during a single academic quarter and rated each questions using amodified Reference Effort Assessment Data (READ) scale [13]. Of note, this study examineddifferences between undergraduate and graduate students—finding undergraduate questionsrequired more complex answers—and examined the complexity of questions during the progressof the quarter—finding that the complexity of questions peaked at week six of the quarter [13].Although this study did not focus exclusively on engineering students, the general nature of thestudy suggests that engineering students may display similar trends.A number of analytic methods have been applied to chat transcripts. These include usingconditional statements in Excel [12
Paper ID #41063Teaching Engineering Information Literacy with INCLUSIVE ADDIEMr. Paul McMonigle, Pennsylvania State University Paul McMonigle is the Engineering Instruction Librarian at the Pennsylvania State University. He graduated from Syracuse University with a MS-LIS degree in December of 2018 and from the Pennsylvania State University with a BA degree in History in 2017. His research interests include information literacy instruction for STEM students, student engagement and outreach programs (especially military and veteran students in STEM), and the early history of libraries and collections.Ms. Denise Amanda
“researchevaluation” was discussed as the topic continues to develop rapidly. However, the authors didnot articulate any opportunities around research intelligence as a data-driven service; rather, thefocus rested on opportunities around advising and educating others to view research metricsmore comprehensively rather than on a narrow set of metrics. No mention was made of activelyparticipating in a service to aid in strategic decision making, nor building teams around suchservices [2]. On the other hand, a more recent report from the often-consulted Ithaka S+R teamstate in “It’s Not What Libraries Hold; It’s Who Libraries Serve,” that academic libraries must“center on the user” and “must be completely re-architected to provide modern businessintelligence
Berry is a Professor in the School of Engineering Technology at Purdue University. ©American Society for Engineering Education, 2024Using “Micro” Approaches to Prepare Engineering Technology and Business Students for the Informed WorkplaceAbstractThe information landscape of today’s workplace is very different from the one our studentsexperience in academia. As such, it is critical for students graduating and entering thetransdisciplinary, information-rich workplace to have solid information literacy skills andunderstand how to seek out and use information from traditional and non-traditional sources.With the support of an internal grant, librarians and an engineering technology professor at alarge
significantly different from purely educational resources.In total, 77 authors with contact information were identified as meeting our criteria.Survey Development:We wanted to cover a broad range of topics to help potential OER authors, administratorsconsidering an OER support program, or support staff in an OER program be better informedabout the motivations, characteristics, and challenges of successful OER authors. The survey wasa mix of quantitative multiple-choice questions and qualitative free responses. As OER authorsthemselves, the researchers collaboratively developed and organized the set of questions to beused. The questions and our discussions are broadly organized into the following sevencategories. 1. Author School, Appointment, and
Paper ID #42047Gray Goldmine: Charting the Course to Engineering Literature’s TreasuresJamie M. Niehof, University of Michigan Engineering Librarian Nuclear Engineering & Radiological Sciences, Engineering Education, Robotics, Integrated Systems & Design University of Michigan aˆ C” Ann ArborSarah Barbrow, University of Michigan Sarah Barbrow is a librarian and the Assistant Director of the Engineering Library at the University of Michigan. She is a liaison to three departments: Computer Science and Engineering, Mechanical Engineering, and Naval Architecture and Marine Engineering. Sarah graduated with an MSI in
(please specify) ○ Not applicable14. What is your current academic classification? ○ First-year ○ Sophomore ○ Junior ○ Senior ○ Graduate or Professional Student ○ Other (please specify)15. What is your major? Display This Question: If 13 = Bachelor’s16. What is your minor, if applicable? Display This Question: If 13 = Bachelor’s17. What is your school/department and degree program? Display This Question: If 13 = Master’s Or 13 = Doctorate18. How many courses are you taking at Dartmouth this quarter? ○ Two courses ○ Three courses ○ Four courses ○ Other (please specify)19. Are you a first generation college student? ○ Yes ○ No ○ Prefer not to answer20. In terms of
instruction andsupport.With the release of ChatGPT in November 2022, generative artificial intelligence exploded inpopularity [14] and raised the question of whether this tool could be leveraged by researchers toassist with data extraction and formulation. Although the tool has potential to change the natureof work, research, and education [15] much of its practical utility in academic libraries remainsunderexplored, especially in the multimodal space.The following research study aims to answer two interrelated questions: what do the citationpatterns of Mechanical Engineering Technology (MET) capstone students reveal about theirinformation behavior and can new AI technologies assist researchers in analyzing these citationdata?Since 2017, librarians
Paper ID #42768Engineering Data Repositories and Open Science Compliance: A Guide forEngineering Faculty and LibrariansAdam Lindsley, Oregon State University Adam Lindsley is the Engineering Librarian at Oregon State University. He teaches graduate research ethics, science/information literacy for undergraduates, and library research skills for both. Research interests include information literacy, data management, photogrammetry, pedagogy, and learning technology.Dr. Shalini Ramachandran, Loyola Marymount University Shalini Ramachandran is the Research and Instruction Librarian for STEM at Loyola Marymount University in