27.8% oftotal graduates, even though members of these groups account for almost 35% of all collegestudents [1], [2]. Although all these percentages are higher than they were in 2012, there is still along road to travel before full equity in these fields is reached.Inclusivity in InstructionInclusivity can be defined as “an intentional practice of recognizing and working to mitigatebiases that lead to marginalization or exclusion of some people” [3]. Students’ social identitiesdo have effects on how they learn and whether they stay the course in their major throughgraduation [4]. Unfortunately, many students from backgrounds underrepresented in STEM canfeel alone or unwelcomed and eventually change their major to one where they believe they
StudentResponse System (SRS), which allows for the collection of feedback through an interactivepresentation as well as the ability to implement collaborative tools.This new format utilizing Nearpod has been implemented in all course sections each semestersince Fall 2022. However, this research is a work in progress as our ultimate goal is to conductan institutional review board-approved study that includes a pre-test and post-test to assess theinformation gleaned by the transfer engineering students at UB.Literature ReviewInformation literacy instruction for transfer students, and assessing this instruction, is a topiccovered in the literature [1-5]. However, we did not discover any literature that focused solely ontransfer students in engineering
instructors.We add the voices of these instructors to the literature on how science, engineering, andtechnology college instructors are selecting resources. We discuss what engineering and otherSTEM librarians can do to increase resources from diverse perspectives, OER, and other OAresources used in these courses, which may make the coursework more accessible to additionalstudents.IntroductionMany college courses require students to use a textbook [1] or other instructional materials (IM),and the selection of these is a key component for the design of college courses [2]. Some coursesmay rely on committees to select core IM, and some pre-professional curricula may be quiteprescribed, while other course instructors may have the discretion to select
research [1].People (rather than instructional resources) in general, have been shown to play a very large partin helping students begin their research. However, in a 2011 study that surveyed of 382 facultymentors, many reported apathy or antipathy toward seeking out or attending training on theinformation literacy behaviors which would help them stay up to date on research methods andtools across the research lifecycle [2]. This likely contributes to the fact that many students (907surveyed in the same 2011 study) report that their faculty mentors do not provide adequatesupport [2]. This leaves engineering graduate students often learning research skills ad hoc, evenin very well-resourced institutions. Librarians often receive specialized
reviews are a type of literature review that takes a systematic approach to search,review, and synthesis of information on a defined topic. A well-designed review will achieve“exhaustive and comprehensive searching”[1] for relevant evidence while minimizing selectionbias. As the volume of scientific publications has surged exponentially over the past severaldecades [2], with a recent study showing that the number of publications in the Physical andTechnical Sciences doubles every 11.9 years [3], the need for systematic reviews to collate andsynthesize all this research has become critical. The general field of engineering has seen the risein published research review papers that many other fields have seen recently [4-6]. Conversely,performing
humanities and social sciences have increasingly used quantitative textualanalysis to gain a high-level understanding of language and themes in texts. These studies aredesigned to investigate a corpus, or collections of words from selected texts, and usemathematical principles to look for high level connections and concepts not always apparentthrough individual reads [1], [2]. By moving beyond the standard literature review, the authorscan examine the content of published material to explore themes and future research directions tounderstand belonging in STEM libraries. This methodology allowed the authors the opportunityto examine details in language and trends in texts in a corpus in a novel way that would besignificantly more difficult and time
users have changing needs that require the library to evolve. The library works tomeet these needs and continues to create spaces that give a sense of welcoming and belonging.Decisions related to changing the library space need to be carefully thought-out to ensure theviability of the library and relevancy to the library user.There are three broad steps to decision making: pre-work, observation, and implementing [1],[2]. Pre-work involves identifying areas of concern and opportunities. Observation is thegeneration of data, finding relationships between problems and the source, and increasingunderstanding around the issues or area for growth. Finally, implementing is the decision basedoff the observations to implement a solution to resolve the
services are well-aligned with their information-seeking behaviors. Thisresearch serves as a foundation for future investigations and improvements in library services,ultimately supporting the academic success and information literacy development of engineeringstudents.IntroductionThe term “dark data” has been used to describe the vast amounts of data regularly collected andstored by organization but that remain unused, often due to a lack of capacity to evaluate the dataor a lack of knowledge of its existence [1]. In this sense, libraries collect a large amount of darkdata. Circulation statistics, gate counts, and chat reference transcripts are examples of datacollected and stored during the everyday operations of libraries, but that often go
"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
sources, our participant pool was made up of current tenure-track engineering facultyand graduate students from our institution. As we also wanted to better understand the impact ofthe suspension of our Elsevier contract, which came into effect on January 1, 2023, we onlyincluded graduate students and faculty who had been at our institution for at least a term beforethe suspension began.We began our study in mid-October 2023. An email distribution list of faculty and graduatestudents across the six disciplinary schools within our College of Engineering was compiled.Faculty and graduate student names were randomized, and participants were contacted by emailon a rolling basis until we reached saturation in the number of participant observations
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
aclear description of information sources and the search strategy, ideally presented in full for eachdatabase [1, Items 7 & 8]. Further emphasizing the importance of transparency of the search forES reviews, in 2021 PRISMA introduced the PRISMA-S searching extension [2], providingadditional guidance regarding the details that should be reported for systematic review and othercomprehensive ES search strategies.ES is no longer a methodology exclusive to health sciences. The value that ES methods can bringto the knowledge-translation process is highly applicable across disciplines. In recent years, thesemethods have been adopted by non-health fields like engineering. Even more recently, therehave been calls for increased rigor and adherence to
more engaging when they combine personal and professional areas ofexpertise. While IL was not the aim for any of these collaborations, they all became a natural fitto integrate IL skills, and have three consistent themes throughout: 1) Fostering Relationshipsover time, 2) Building a culture of trust, 3) Saying yes, each of which can be continue to be usedwhen launching new interesting initiatives and projects.Keywords: Collaboration, experiential learning, library, partnership, project-based learning,wellness.IntroductionIn 2023, with a revival of in-person learning and a strong desire to reignite campus connectionsto the Library, Engineering Librarians at the University of Waterloo decided to try somethingnew – actually, a lot of new things
thesehave changed over time. This information will help librarians to better support MET students andfaculty by allowing for targeted information literacy instruction and outreach.IntroductionInformation behavior is a general term that serves as an umbrella for describing the many waysthat people interact with information including information seeking, information use, andinformation creation, among others [1]. Bates also explains that the concept of informationbehavior includes, but goes beyond, information literacy which is more narrowly focused on“finding and effectively evaluating desired information”. Instead, information behaviorresearchers have developed a wide range of theories and models to better understand the ways inwhich people
(LLM) designed to take natural language inputs and producenatural language outputs. According to OpenAI, ChatGPT achieved 1 million users in the firstweek of its release. By the middle of 2023, ChatGPT had grown to 180 million users and wasseeing over 1.4 billion visits a month [1]. Although there was evidence of declining usage trendsat this time, the numbers demonstrate ChatGPT is a highly used tool.A possible explanation for the popularity of ChatGPT is its ability to respond to seemingly anykind of prompt, regardless of subject, and to provide what appears to be an intelligent response.OpenAI encourages users to "Ask me anything" when it comes to using ChatGPT and providesacademic suggestions such as Python coding and language translations
Engineering, to increaseenrollment but also student persistence, retention and graduation, and highlights the role theMSU Libraries will play in supporting those needs: Engineering students have for about two decades had inexpensive access to the Mitchell Memorial Library’s Digital Media Center [1]. This facility provides spaces for collaboration, concept creation and 3D printing, all within the scope and theme of innovation and creation. In the advent of additive manufacturing, demand for these resources is at an all-time high. The Center for Entrepreneurship and Outreach is primarily housed in the College of Business, offering support to students wanting to explore intellectual property and patent development. With
government, academia, business and industry in electronic and printformats not controlled by commercial publishing i.e. where publishing is not the primary activityof the producing body” [1]. The key element in this and in most definitions of GL is thatmaterials are not produced by commercial publishers. One implication of this is that there can bemany different types of GL. Indeed, Schöpfel and Farace reproduce a list of 131 differentdocument types originally compiled by GreyNet International, all of which can “contain uniqueand significant scientific and technical information that is often never published elsewhere” [1].While readers might quibble with some of the types of GL compiled by GreyNet International,this list of 131 types serves to
individuals on aparticular topic. This is the definition that will be used in this paper. However, it is well knownthat the phrase "technical standards" has a plethora of interpretations depending on the context ofthe situation and the parties involved. There are company standards that are primarily for internaluse, "de jure" standards that are formally published by standards organizations, agreed-uponcommon practices (e.g., eating with one's mouth closed) that the general public refers to as a“standard”, and many more [1]. The ambiguity in the definition of the word "standard" andengineers' contextual interpretation and historical use of the word adds to the challenge ofstudying, discussing, and applying technical standards.In addition to the
Statics and CIVE 261 Dynamics at Colorado State University. He has a keen interest in active learning and has a partic ©American Society for Engineering Education, 2024 Insights and Lessons Learned from Engineering OER AuthorsIntroduction and Motivation:This work examines characteristics, motivations, and challenges open educational resourceauthors face in engineering. Open educational resources (OER) are “learning, teaching andresearch materials in any format and medium that reside in the public domain or are under thecopyright that has been released under an open license, that permits no-cost access, re-use, re-purpose, adaptation and redistribution by others.” [1] While higher education
©American Society for Engineering Education, 2024 Introducing Students to Research and Reproducibility with Open Science ToolsOpen science in research educationReproducibility, transparency, and openness are all essential factors behind reliable and impactfulresearch. The rapid, global response to understanding the COVID-19 pandemic is attributed tothe way researchers openly shared methods and data [1], [2], [3], [4]. Since then, Open Science[5] has been placed at the forefront of an evolving research mission. While the movement isrelatively new, it rose to prominence with 2023 delivering the Year of Open Science asannounced from the White House Office of Science and Technology Policy [6]. Adoption is wellin
an O'odham thesaurus and classification systems currentlyunder investigation and development at Arizona State University. kiva, n. A chamber, built wholly or partly underground, used by the Pueblo men for religious rites, etc.; estufa, n. Also attributive and transferred. [1]IntroductionEngineers always want to know how something works. If that means taking it apart to reverseengineer it, they are quite happy to do that. They are also always looking to make improvementsand have a whole list of “what if…?” for every one of them. This is especially true when theyencounter an unknown structure from another civilization or lost arts of Western Europeancolonial cultures. With little documentation available, they need to explore
learning experiences designed toengage the students in an iterative design process with real-world applications.Each summer, the College of Engineering hosts various weeklong camps for middle and highschool students with a particular theme or engineering focus. During the summer of 2023, theDeLaMare Library Makerspace supported this program by hosting several design thinking andrapid prototyping sessions to accompany the already robust camp curriculum.Over the course of three 1-hour sessions, students worked in small groups to explore human-centered design principles and fabricate a prototype. The first session was an introduction to thedesign thinking process and the tools available in the makerspace. Each team explored the themeof accessibility
public research university developed and piloted a suite of micro-learning informationliteracy modules with micro-credentialing for undergraduate students. The topics covered in themodules include (1) effective information-gathering strategies, (2) competitive analysis, (3)patent information, (4) industry standards, and (5) informed communication. The foundationalmodules, created with stakeholder feedback from industry professionals, entrepreneurs,instructors, and students, are designed for instructors to use in their classes without directlibrarian intervention. The micro-credentialing component allows students to share the digitalbadges they earn with potential employers via LinkedIn and other platforms. The modules andcontent are designed to