Conference Session

Engineering Libraries Division (ELD) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Matthew Frenkel, New York University; Hebah Emara, New York University ; Amanda He, New York University ; Lindsay Anderberg, New York University ; Samuel R. Putnam, New York University

Tagged Divisions

Engineering Libraries Division (ELD)

how capable such tools arewithin certain disciplines. This work in progress aims to shift from evaluating generative AItools’ capabilities to exploring how such tools impact the information-seeking behaviors of theirusers. The paper focuses on the impact of OpenAI’s ChatGPT on the information-seekingbehavior of engineering students. The paper presents data from a survey of engineering students.In addition, the paper provides the methodology and preliminary data from a structured interviewwhere participants will use ChatGPT to address a multifaceted problem concerning the GrandChallenges for Engineering.IntroductionNear the end of 2022, OpenAI released ChatGPT, a generative artificial intelligence (AI) tool.ChatGPT is a large language model

Conference Session

Engineering Libraries Division (ELD) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Uri Feldman, Wentworth Institute of Technology; Callie Cherry, Wentworth Institute of Technology

Tagged Divisions

Engineering Libraries Division (ELD)

grown its user base exponentially. In particular, largelanguage models in the form of “chatbots” have become widely popular across industries anddemographics. In the first two months since its release in November 2022, OpenAI’s ChatGPT,the most popular AI chatbot surpassed 100 million users worldwide; as of May 2023, over halfof Americans are familiar with the concept of AI chatbots [5]. This popularity is changing theway that information is created and shared, especially among young people and more highlyeducated people. According to Pew Research Center, the groups most likely to know about anduse these chatbots are adults ages 18-29, and likelihood of use increases with education level [5].This poses both a unique challenge – and opportunity

Conference Session

Engineering Libraries Division (ELD) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mark Chalmers, University of Cincinnati; Aja Rachel Bettencourt-Mccarthy, University of Cincinnati

Tagged Divisions

Engineering Libraries Division (ELD)

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

Conference Session

Engineering Libraries Division (ELD) Technical Session 3

Collection

2025 ASEE Annual Conference & Exposition

Authors

Kristina Bloch, University of Louisville; Campbell R Bego, University of Louisville

Tagged Divisions

Engineering Libraries Division (ELD)

an ongoing collaboration between anEngineering Fundamentals professor and the Engineering Librarian at a largesuburban university in the Southeast. In this study, a purposive sample of sixstudents in an Introduction to Engineering course participated in semi-structuredinterviews regarding the student experience of course- integrated GenAI research intheir class.Researchers utilized Charmaz’s constructivist grounded theory to analyze the data[13]. ChatGPT-3.5 was not utilized in the analysis or in writing this article. Thisstudy was approved by the Institutional Review Board (Reference Number794713) at the University of LouisvilleParticipantsAll study participants were enrolled in the Introduction to Engineering course atthe University of

Conference Session

Engineering Libraries Division (ELD) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sarah G. Park, University of Illinois at Urbana - Champaign; Monica Carroll, University of Illinois at Urbana - Champaign; Lucy Marie Alice Esteve, Duke University; Karnika Singh, Duke University

Tagged Divisions

Engineering Libraries Division (ELD)

one's regularexpertise (White, 2009). This process of digesting a body of text and identifying patterns seemsideally suited to automation. In 2009, Ananiadou et al., [18] discussed using text mining toextract terms and expand queries. Text mining applies statistical analysis to a specific body oftext to identify patterns, including associated terms. Natural language processing (NLP) is aclosely related concept where computer programs (i.e., machine learning) extract and utilizethese patterns on unstructured text to aid understanding. NLP is a field that interacts withartificial intelligence (AI) and employs machine learning (ML) techniques. ChatGPT is an AIapplication that leverages NLP principles to understand user inputs and generate

Conference Session

Engineering Libraries Division (ELD) Technical Session 3

Collection

2025 ASEE Annual Conference & Exposition

Authors

Laurie Borchard, California State University Maritime Academy; Amber Janssen, California State University Maritime Academy; William W. Tsai, California State University Maritime Academy

Tagged Divisions

Engineering Libraries Division (ELD)

, and combustion.However, broader interest in machine learning has been sparked by the release of generative AI(GAI) tools in the past few years. Large language models (LLMs) such as ChatGPT or GoogleGemini have brought machine learning to the creation of text. Similarly, GAI tools for imagecreation, such as DALL-E or Adobe Firefly, allow for the creation of images based on text-basedqueries. In education, this has sparked a great deal of interest among students and faculty in theethical application of this technology in the classroom. In “AI in Higher Ed: Hype, Harm, orHelp,” Anthology, an educational technology company, surveyed university student leadersabout student use and perception of AI [4]. Over 30% of university leaders believed the

Conference Session

Engineering Libraries Division (ELD) Technical Session 4

Collection

2025 ASEE Annual Conference & Exposition

Authors

Anne E Rauh, Syracuse University; Amy S. Van Epps, Harvard University; John J Meier, Pennsylvania State University

Tagged Divisions

Engineering Libraries Division (ELD)

in the search process. At this point, authorsmanually rejected or excluded additional articles that did not meet the topic of the managementof evidence synthesis services in libraries. The resulting list of articles selected is included inAppendix 1.One author manually reviewed the abstracts of each article. If the article included information onsystematic review services, training, or skill development, the author then read or skimmed eacharticle. If the article did not mention those aspects, it was discarded. Another author loaded smallgroups of articles into an institutional subscription to ChatGPT-4o in a closed university researchenvironment to produce summaries of the works. The team members then met to discuss theirfindings and the

Conference Session

Engineering Libraries Division (ELD) Technical Session 4

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jason Cerrato MA, MSLIS, PhD Student, Brown University

Tagged Divisions

Engineering Libraries Division (ELD)

exploration of a varietyof tools, including, but not limited to, Scite.AI and Perplexity (as RAG-based informationretrieval tools), Elicit (within a systematic review context), ChatGPT and Claude (as morecommonly known LLM ‘bots’), as well as integrated AI features of commonly known tools, 9such as the Web of Science and Primo discovery AI features (classed as AI ‘assistants’ orCo-pilots).Cross-Sections: A Survey of Learning Community Membership & Interests(AY ‘23-24) Over the Learning Community’s initial year of programming (academic year 2023-2024), the planning committee actively solicited feedback and insights from the groupregarding topics of

Conference Session

Engineering Libraries Division (ELD) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jamie M. Niehof, University of Michigan; Sarah Barbrow, University of Michigan; Paul Grochowski, University of Michigan; Luesoni Kuck, University of Michigan

Tagged Divisions

Engineering Libraries Division (ELD)

Mathematics StatisticsEach main category and subcategory has an arXiv code, e.g.: ● Computer Science = .cs ● Artificial Intelligence = cs.AI ● Nuclear Theory = .nucl-thThe codes enable easy subject-limiting during the search process, thus: chatGPT cs.AIin the main search bar will look for arXiv preprints on chatGPT that fall inside the ComputerScience subcategory of Artificial Intelligence.arXiv search is limited and non-intuitive compared to search in subscription library databases. Tosearch the entire arXiv and not a single main category, the small search box in the upper rightcorner must be used. Open Advanced Search from here, which has more search options.Few filters

Conference Session

Engineering Libraries Division (ELD) Technical Session 3

Collection

2025 ASEE Annual Conference & Exposition

Authors

Cari Kaurloto, University of Southern California; Jane Lah, University of Southern California; Alvaro Quezada, Caltech

Tagged Divisions

Engineering Libraries Division (ELD)

promising an opportunity to participate in the raffle for a gift card. As oursurvey and recruited participants were limited to our institution and targeted populations, itshould be noted that our findings may not be applicable or generalizable to other institutions. An area for future consideration would be to include more survey questions related tostudents’ understanding and use of artificial intelligence (AI). While the survey did have onequestion related to their use of ChatGPT specifically, any future studies of students’ informationliteracy skills should include the use of AI in information retrieval and citation. This wouldhighlight a gap in understanding how students engage with AI and the ethical and practicalchallenges they might

Conference Session

Engineering Libraries Division (ELD) Technical Session 2

Collection

2025 ASEE Annual Conference & Exposition

Authors

Laura Woods, University of Sheffield

Tagged Topics

Diversity

Tagged Divisions

Engineering Libraries Division (ELD)

time.Holly mentions “doing research” a few times throughout her interview but is vague aboutwhat this entails. When pushed for details, she describes relying primarily on Google andGoogle Scholar. She sees Google as most helpful for finding what she terms as “hard facts,”such as how an air-based cooling system works. She uses Google Scholar to find morescholarly sources to supplement her work, but finds that the language is often “veryscientific” and difficult to understand. She also mentions using ChatGPT to help explainthings in simpler terms if her tutor is not available to answer questions. She seems generallyhappy to ask questions of her lecturers and her classmates, but is reluctant to admit shedoesn’t know something in front of people she