Paper ID #41561Insights and Lessons Learned from Engineering OER AuthorsDr. Jacob Preston Moore, Pennsylvania State University, Mont Alto Jacob Moore is an Associate Professor of Engineering at Penn State Mont Alto. He has a PhD in Engineering Education from Virginia Tech and a Bachelors and Masters in Mechanical Engineering. His research interests include open educational resources, concept mapping, and student assessment techniquesDr. Daniel W Baker PhD P.E., Colorado State University Daniel Baker, Ph.D. PE is a Teaching Associate Professor and is the primary instructor for the on-campus and online sections of CIVE 260
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
found in CATalyst Studios include: 3D printing, CNC router and mill,industrial sewing and embroidery machines, button and jewelry making equipment, laser cutters,soldering tools and variety of hand tools, Arduino microcontrollers, computer aided design(CAD) software, Raspberry Pi, and vinyl cutters. The studios consist of the main makerspace, anAR/VR studio with workstations, a green screen cyclorama, a podcasting studio, and acomputational and data visualization studio with a high-definition wall. As Educause reported:“Used by students, faculty, and staff, makerspaces have become arenas for informal, project-driven, self-directed learning, providing workspace to tinker, try out solutions, and hear inputfrom colleagues with similar interests [8
how to use their database. • When sharing with the whole class, you could ask the students to use the computer at the front or, if time is short, have them talk from their seats while you click and type.45-50 minutes: Wrap Up • Ask students how they will use something they learned today. • Ask students to fill out feedback survey, if using • Remind students they will continue to have access to slides and make plans to share them with the instructor. • Final questionsEngineering Upper-Level Course (In-Person, online, or hybrid)This lesson plan is for engineering students in upper-level capstone courses and is applicable toboth in person, online, and hybrid classes. At the end of the session, students will be able
2022 undergraduate enrollment at 3,287and graduate enrollment at 2,409 [24]. The College is an integral part of the larger campusentrepreneurship ecosystem, and there has been a sizable investment of space for undergraduates,graduate students, and faculty.The physical Engineering Library has been in its current location since 1957 and is a dynamic,service-oriented, and user-centered space that partners with the College of Engineering andCollege of Computing and Information Science to support their teaching, research, learning, andexperiential missions, and the broader mission of our institution. The library providescollections, services, space, and staff expertise. Since 2019, the engineering librarians have beenorganizationally aligned with
instant messaging groups madehomework help seem easily accessible.Graduate Interviews Most graduate students interviewed chose their programs as short, intensivesteppingstones to either a different graduate program or to boost their application to a nearbyindustry position. Proximity to these industries was a huge factor in selecting their institution.We learned that students admitted into the graduate studies program without a computer sciencebackground would likely struggle during first-year introductory coursework and teachingassistant responsibilities. Students in the masters programs felt overwhelmed by coursework and teaching assistantresponsibilities their first year and were then thrust into a research program with
experience.Figure 1: Example of results from a research sample (left), results reproduced by a student (middle), and original results produced by a student (right).Closed phaseAt the start of the closed phase, we discussed the computational research subjects that would beused for the assessment, an introductory machine learning tutorial with the Iris dataset [31], anda simple example of simulated annealing to separate randomly mixed numbers in a matrix [32].To embark on the first tasks of this assessment, students were provided links to basic GitHubrepositories that contained Jupyter Notebooks and datafiles. Students were asked to downloadevery file, look through the Jupyter Notebooks, and simply attempt to run all of the code fromtop to
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
1Preparing Engineering Graduate Students to Engage in Scholarly Communications Dianna E. B. Morganti Angie Dunn ASEE Annual Conference 2 Abstract The typical engineering degree plan has several important gaps when reviewed againstthe research lifecycle. These gaps are often filled in by students learning ad hoc, by overworkedfaculty over numerous mentoring sessions, or often by the engineering research librarians inworkshops and consultations. Purposeful incorporation of a curriculum that fills those gaps,though, can
Paper ID #42528Rebranding the Library Through Engineering Outreach: Three Case Studiesat the University of WaterlooRyan Ball, University of Waterloo Ryan (he/him) is a Science & Engineering librarian at the University of Waterloo. Engineering subject specialties include: Architectural, Civil, Environmental, Electrical, Computer, Geological, Mechanical, and Mechatronics. Supporting the success of engineering students through facilitating the development of information literacy skills, and advocating for accessibility are core aspects of Ryan’s work.Ms. Rachel Figueiredo, University of Waterloo Rachel Figueiredo
from these stakeholdershelped us ensure the content was understandable at many levels, pedagogically sound, and trulyreflected the information needs of the workplace.To keep within the spirit of micro-learning, our goal was to keep each video within a three-to-five-minute time limit. This involved careful consideration of each line in our scripts in order tobe clear and concise. Once the scripts were drafted and reviewed, we practiced and timed them tomake sure they fit in our time limits and made additional cuts when necessary. Once the scriptswere finalized, we moved on to recording. Our initial plans were to record these in professionalvideo production studios on campus, however a computer hack in the summer of 2022 madethese studios
Paper ID #40293Let’s Talk about Disability: Disability Justice in EngineeringLibrarianshipProf. Elizabeth C. Novosel, University of Colorado Boulder Elizabeth Novosel is the Computer Science, Mathematics, & Social Sciences librarian at CU Boulder, where she has previously supported a wide variety of subject areas, including science, engineering, and social sciences. ©American Society for Engineering Education, 2023 Let’s Talk About Disability:Considering Disability Justice in STEM LibrarianshipAbstractDespite efforts to improve DEI on college campuses, bias and discrimination still exist in
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
Paper ID #43349A Collaborative Approach to Implementing Design Thinking and Rapid Prototypingin a High School Engineering CampMs. Rebecca Glasgow, University of Nevada, Reno Rebecca is the Engineering and Fabrication Librarian at the University of Nevada, Reno. She supports the learning, teaching and research needs of faculty and students for the College of Engineering and a wide variety of departments that use the Makerspace. Her time with the DeLaMare Science and Engineering Library has allowed her to explore curriculum development and instructional design, which she has applied to her makerspace training programs and
libraryresource instruction more interactive, while allowing faculty instructors to use student responsesas in-class participation points. While more detailed student-focused data will be collected insubsequent semesters, this paper examines the faculty response and feedback to this instructionalchange, along with lessons learned by the librarians.IntroductionWhen librarians are afforded the opportunity to visit classrooms for instruction, we want toensure that we maximize our time with the students while simultaneously giving them the timeand space to learn library skills. Transfer students come to the University at Buffalo (UB), aCarnegie R1 doctoral university, with experience from other institutions, which can range from asmall four-year college to a
, and the fearless classroom model.Dr. Jessica Ohanian Perez, California State Polytechnic University, Pomona Jessica Ohanian Perez is an assistant professor in Electromechanical Engineering Technology at Califor- nia State Polytechnic University, Pomona with a focus on STEM pedagogy. Jessica earned her doctorate in education, teaching, learning and culture from CGU ©American Society for Engineering Education, 2023Connecting students to discipline specific research in their first year: A collaboration between engineering faculty and librarians.IntroductionIn 2017, a collaboration between Cal Poly Pomona College of Engineering faculty members, thefirst-year coordinator for the College of
exploring how technology shapes our world and leveraging new developments to enhance library experiences.Ms. Kari Kozak, The University of Iowa Kari Kozak has been the Director of the Lichtenberger Engineering Library at The University of Iowa since July 2011. In her capacity, she oversees library operations and supervises a team of three full-time staff members. Kari is dedicated to providing instruction, reference, and consultation services to students, faculty, and staff across various departments and research centers within the College of Engineering and the Department of Computer Science. Her professional interests encompass outreach, instruction, innovation, and design. Additionally, Kari also leads classes on
MSL team was motivated to conduct an evidence-based assessmentof how its library spaces facilitate innovative research, creative thinking, and problem-solving.The library also recognized the need for strategic planning for its fourth and fifth floors, whichstill had their original floor layouts and furniture from 30 years earlier. The library teamed withthe UF Department of Interior Design (IND) in the College of Design, Construction andPlanning. The IND had been involved in the previous renovation design for the MSL basementand entry floor and brought experience evaluating learning and mixed-use learningenvironments.Literature ReviewRenovating an existing library space requires a large capital expense so it is important toconsider the
, the role of the Mitchell MemorialLibrary will become even more important to the university community, including nearly 23,000students and 1,500 faculty members. This work will specifically focus on the process behindformulating a strategic plan at a land grant university and how it created institutionalopportunities for the Bagley College of Engineering to support strategic goals on improving thestate, regional and national economy. To work in line with this mission, the College ofEngineering set a goal to expand experiential learning opportunities for its students. As part ofthis, the engineering dean discussed collaborations with all the other academic deans, fromwhich they were able to identify several key opportunities to explore and
aprofessor, how long they have been at our institution, and what their current research area is. Theinformation about their current research area was used to provide a topic for them to searchduring the observational portion of the study.Observation of Searching BehaviorsTo learn more about participants’ scholarly source searching and locating behaviors, wescheduled observational sessions with each of the participants via Zoom. Participants used theirown computers from their chosen work space. The participants shared their screen, and theirscreen movements along with audio were recorded using the Zoom platform. Recordings weresaved to our institution’s cloud-based media storage space, which is protected with dual-authentication log-in
Brianna is the Teaching and Learning librarian at the Colorado School of Mines. She collaborates with faculty to design and implement information literacy throughout the curriculum. Prior to her work at the School of Mines, she was the Engineering and Computer Science Librarian at the US Naval Academy and a contract Reference Librarian assigned to the National Defense University. She earned her MLIS at the University of Denver in 2011.Mr. Joseph R. Kraus, Colorado School of Mines Joseph Kraus is a reference librarian at the Arthur Lakes Library of the Colorado School of Mines. He also manages the Mines Repository service. He has written numerous articles and has presented on topics such as open access journals
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
efforts to document and promote the use of evidence-based pedagogy (aka research-basedinstructional strategies, high-impact practices, etc.) in STEM focus on classroom and laboratoryactivities but also do note some updated instructional materials (IM) and a few textbooks thatadopted best practices from disciplinary educational research [5]. Textbook selection practices,particularly OER adoption, have been studied for STEM courses, including engineeringmechanics [7] and health sciences [4]. Other OER-related research includes the positive effectson student learning outcomes [1], efforts to design OER [8], how OER could be better curated inrepositories [9], and detailed case studies [10].For some STEM instructors, there is tension between faculty
interviews related to business, as computer science falls within the School of Business atMurray State University in Kentucky.Numerous papers exist about various areas of engineering education, but few delve into theteaching needs of the faculty, focusing instead on concepts related to how to teach effectively forstudents. Problem-based learning, teaching for understanding, and other various teachingmethods dominate the literature landscape. Some articles focus on professional developmentopportunities for faculty, but, again, little exists related to other support available or needed byteaching faculty [19-22]. While outside the scope of this research, it is of note that someliterature exists that examines the teaching needs of faculty, but those
engineering educational curriculumitself is still lagging due to one or more factors. With so many resources it is tough for educatorsto decipher how much and what technical standards content students require or would mostbenefit from before graduation. There is no uniform timeline stating when undergraduatestudents should first be introduced to standards, and there are no uniform learning objectivesinforming educators of what technical standards content to include in their curriculums. Yet,academic institutions realize they are logically the best-suited entity to provide basic technicalstandards education for undergraduate engineers. They also recognize that collaborations withoutside organizations, companies, and technical societies will allow them
working with that data on their computer or within a shared drive.External data repositories are being used, but not widely. However, they may be preferred oncethe project is no longer active and deposit data at the time of publication as the literature noted. TABLE VINDICATE WHERE YOU STORE RESEARCH DATA DURING AN ACTIVE PROJECT(S). Data Storage Location Count Percentage Computer or laptop hard drive (i.e. local hard drive) 24 92% Shared drive/ UBC network storage or departmental server (e.g. Home drive, TeamShare, SharePoint, OneDrive) 19 73% External drive 16
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
research topics to aid in strategic decision making, andimpact services and reputational management.In its 2020 report, ACRL Research Planning and Review Committee summarized that majortrends include: learning analytics, the influence of machine learning and artificial intelligence ontechnology, the impact of big deals cancellations on open access and transformative publisheragreements, research data maturation and the ethical need to incorporate the GO FAIR Initiative,social justice roles including critical librarianship and critical pedagogy, incorporating increaseduse and licensing of streaming media, and finally, library space as a place for supporting studentwell-being [1]. Earlier in a 2017 environmental scan by the same team, the concept of
Environmental Science [4] and onprofessional medical exams [5, 6], its capacity to understand and solve mathematical wordproblems [7], ChatGPT’s performance as a “student” in college level computer engineering [8],physics [9], and digital design lab courses [10], and its performance on a college level computerscience exam [11].OpenAI's research does not specify how ChatGPT 3.5 and 4.0 performed on specific areas orquestions within the exams tested, but shows that ChatGPT 4.0 tends to outperform itspredecessor [3]. Due to the release of ChatGPT 4.0 in March 2023, independent studies vary onwhether or not they assessed ChatGPT 3.5, ChatGPT 4.0, or both. Studies also vary in theirmethodologies with some employing prompt engineering and others using
“limit” may refer to a limit state (in the reliability sense) or a mathematicallimit. The term “variation” may refer to variability in a statistical sense, or be part of the phrase“calculus of variations.” Finally, the term “error” has widely diverging definitions andinterpretations across disciplines, even within engineering 16. While it would be possible tocategorize the use of these terms on an individual-textbook case, this resolution of investigationwas outside the scope of the present work.We detect the presence of selected index terms per-book and use this to compute statistics; we donot provide any additional weight to multiple occurrences. To handle synonyms, weoperationalize index terms as regular expressions. For instance, we search