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
more likely to be offered as an addition to otherengineering offerings (59%) than engineering/general (N=102) programs (30%). Also, it can beobserved that general programs are more likely to be the only program at an institution (56%)compared to engineering science/physics programs (23%).Of non-disciplinary engineering programs that have been initiated since 2010 as the onlyprogram at an institution, only 1 is identified as engineering science, 4 are identified asengineering physics, and 34 are identified as engineering/general. In that same time frame, 2engineering science/physics programs were transitioned to engineering/general programs. Forinstitutions planning to start offering an accredited engineering degree, the best choice wouldappear
pre-calc. She just said thatengineering is math-heavy and it’s just going to keep getting harder so maybe you should look at a degree thatdoesn’t involve math. I responded with several emails to her, with my parents' help, trying to get [recovery plans]laid out and she didn’t respond to one of them - like, no response at all. I mean, even my parents were like, how doyou tell that to somebody? You know? Yeah, that was like, you’re joking right?” Despite this interaction, his confidence in being able to succeed as a practicing engineer did not waiver.He continued to express confidence that, based on the work experiences he had through the career center, he wouldbe able to find a career in engineering that highlighted the elements of
planned for futurework for this project.Results & DiscussionEvaluation of Commercial Chatbots for Material and Energy Balance Concepts. We testedcommercial chatbots with our 16 Material and Energy Balances (MEB) concept inventoryquestions on Dec. 26 and 27, 2024 and against our customized MEB chatbot on Jan. 15, 2025.As these chatbots are always changing and being updated, our evaluation of these questionsagainst these chatbots may not necessarily be representative of future performance. We (twograders) independently evaluated outputs from the chatbots on an A–F scale, and the scores werenumerically averaged to evaluate the performance of these chatbots on our MEB questions, anddetermine how often the responses were misleading, contained
hadattempted to build in a f2f element.However, when the Story Circle went ahead, a lack of appropriate physical-space at IUGcombining internet link-up with flexible table-layout meant that there was only one (large)group of eight in Gaza, rather than the two smaller groups as planned. The resultingimbalance in group-sizes at each site meant that a tight timetable (key to an activity such asthis) proved impossible; in a Story Circle, each person must be given the same amount oftime to speak, and for this reason the Gazan group was unable to explore the Story Circlequestion to the same depth as participants at NU. Co-ordinating timings for the informal‘coffee-break’ at the midpoint proved a particular challenge. This had an affective impact,reducing
environmental engineering capstone design experience. She is a licensed Civil Engineer (CA) with over 17 years of specialized academic and industry experience, specializing in stormwater management, watershed-based planning, and microbial water quality engineering. In addition to her teaching and mentoring responsibilities, Dr. Hanley is working to expand the undergraduate Environmental Engineering program at NYU Tandon.Dr. Tanya Kunberger P.E., University of Pittsburgh at Johnstown Dr. Kunberger is Division Chair for Engineering and Computer Science at the University of Pittsburgh Johnstown.Dr. Monica Palomo P.E., California State Polytechnic University, Pomona Professor B.S. Civil Engineering, University of
detect color when shown on the Video Display. • My favorite part of the project was learning how to code the arm to move. Figure 8. Student Survey Questions and Student ResponsesLessons learnedMany things were learned over the course of the summer. One of the main lessons learned by thestudents was time management. For the first time, the students had to produce specific results ina limited amount of time, but with proper instruction and planning, the project was successful.Being able to complete this project gave the students the knowledge that with proper planningand time management, anything can
targets, a vision born out of a strategic plan of Japan’s then Prime Minister Shinzo Abe, tointegrate science, technology, political initiative, and society, to increase individual and collective welfare [22, 27, 30,45, 47]. Society 5.0 is uniquely characterized by the Internet of Things (IoT), AI, Big Data, and sophisticatedmachine/robot interaction with humans [45], and is also viewed as a panacea that reduces the global socio-economicgap [22]. But attempts to realize the E.D. 5.0 vision also pose several challenges, such as a need for reform andalignment of the education system with national digital transformation goals for Costa Rica [9], the reluctance ofeducational systems in countries like Afghanistan to adapt towards E.D. 5.0 goals [46
manual aswell as experimental procedures, which will result in a holistic, hands-on approach to anintegrated laboratory course. Students took advantage of knowledge and experience gained fromprevious pre-planned labs in the manufacturing processes course. Through this approach,students will be required to understand on a deeper level what they are achieving in laboratorycoursework, and in doing so, will foster learning about the laboratory procedure and theory.Throughout an entire semester, students designed a lab to test four different ¾” diameter testspecimen composed of stainless and low-carbon steel, aluminum, and brass rods to determine thecorresponding material properties of Young’s modulus, yield strength, and ultimate strength. TheESL
will enable institutions to identify areas for improvement, adjust course content,and evolve teaching strategies to better meet student needs and industry demands.Ultimately, assessment findings will be integrated into an ongoing cycle of continuousimprovement, ensuring that the AI curriculum remains current, market-relevant, and aligned withboth academic standards and workforce expectations.SCALABILITY AND INSTITUTIONAL READINESSWhile the development of a high-quality curriculum is essential, the successful implementation ofan AI concentration also hinges on the institution’s overall readiness. Effective integration of AIprograms at scale requires careful and strategic planning across multiple dimensions, includingfaculty development
time. Multiple participants shared their experiencewith the goal tracker feature of ClearMind: I had a lot to focus on each day, but the goal tracker kept me on track with checking in with ClearMind. The daily progress was color-coded, which motivated me to fill it in every day. [This refers to the goal tracker feature, where if a user misses a day, the color for that day’s progress grays out.] As a visual learner, seeing my progress was helpful. It not only helped me with procrastination but also with career planning. I would keep using ClearMind because of that one feature I just talked about—the score. I want to see how high it goes [my score changes over time].Many participants appreciate
education experience which includes STEM academic and student success/support programming, strategic planning, data analytics, and program evaluation. As a PI, she has garnered funds in excess of $3 million dollars from both NIH and NSF for broadening participation in STEM Undergraduate Education and as an Evaluator has worked on large projects with NSF (Big Data, BioGraph), Google CS-ER, and DOD STEM Student Success. Her distinguished record of STEM programmatic success (at HBCUs and PWIs) is well documented in publications and presentations. Dr. Leggett-Robinson’s latest publications, ”Demystifying Promotion & Tenure: A resource for Black Women” and ”Overcoming Barriers for Women of Color in STEM” are resources
surveyed institutionsalready used Artificial Intelligence (AI) in their admissions process, and an additional 30%planned to do so in 2024. AI gives universities the advantage of increased efficiency, allowingthem to focus their limited resources on other critical tasks like selecting students for financialaid and scholarships [5]. Therefore, it is essential to innovate AI systems that assist in theadmissions process while still minimizing the possibility of biased outcomes.The rapid development of the technology industry led to an increased number of graduate degreeholders yet the diversity among these graduates has not shown comparable growth. For instance,the male-to-female ratio among master's graduates has remained nearly constant in the
International Organization for Standardization (ISO), “standards are thedistilled wisdom of people with expertise in their subject matter and who know the needs of theorganizations they represent—people such as manufacturers, sellers, buyers, customers, tradeassociations, users, or regulators” [1]. Similarly, Thompson defines standards as an agreed wayof doing something consistently to ensure safety and quality [2]. Codes, on the other hand, aresets of guidelines that define standards for the planning, construction, and maintenance ofstructures. These are typically categorized into safety standards and product standards [3].Specifications provide detailed requirements for components, products, systems, and services,ensuring they meet the necessary
engineering design. Similarly, Gasiewski et al. [40] gathered quantitative datafrom over 2,500 students and conducted focus groups with 41 students to investigate therelationship between student engagement and introductory science instruction.InstrumentationThe Engineering Profession in Mathematics (EPM) questionnaire was developed to assess thetypes of mathematics used in engineering practice. The questionnaire provides a commonstructure for evaluating engineering problems based on their alignment with mathematicalcontent standards. The 24 engineering problems in the questionnaire were derived from pre-service teachers' lesson plans for grades 7-12, and these problems were categorized into eightmathematical content areas. The problems were selected
demonstratesthe effectiveness of project-based learning in developing practical engineering solutions andenhancing student engagement in energy systems design.We have some initial, generally positive, anecdotal data about students’ perceptions of theproject. However, we are planning on constructing a more formal and detailed survey to obtainmore detailed information from students. In addition, we are also looking to investigate theimpact of the project on students’ satisfaction of the course learning outcomes.BackgroundThere is considerable evidence to the benefits of students working through open-ended complexprojects in engineering education [1]. Projects allow students to engage with real-worldproblems, work collaboratively in teams, synthesize
impact. A significantaddition to our study will be the involvement of a second instructor and their teaching team,offering a fresh perspective on the course's effectiveness. We plan to conduct focus groups withthis new cohort to gain deeper insights into their experiences and impressions. For future offerings of the course, we are developing a comprehensive student survey thatwill explicitly address the five key themes central to our course design and implementation.These themes include fostering a sense of belonging, supporting self-regulation skills in theonline learning environment, enhancing self-efficacy in engineering, promoting learning andmotivation through innovative online pedagogies, and evaluating the effectiveness of
serves as a Research Assistant. He holds a bachelor’s degree in Civil Engineering from the Federal University of Technology, Akure (FUTA). His current research focuses on the sustainability and resilience of transportation infrastructure in the face of sea level rise, with a particular emphasis on coastal vulnerability and adaptive planning for future climate scenarios. Tolulope is passionate about engineering education and research, with a strong appreciation for field experiences that bridge theory and practical application.Grace Yemisi Balogun, Morgan State University Grace Yemisi Balogun is a Ph.D. student in Bio-Environmental Sciences at Morgan State University & an Environment, Social and Governance analyst
International Programs (CIP) at the University of Dayton. The CIP provides coordination, strategic planning and administrative support forMrs. Marjorie Langston LangstonMr. Douglas Picard, Greene County Career Center Doug Picard is an engineering and manufacturing instructor at the Greene County Career Center in Xenia, Ohio. In 2023 and 2024, he participated in the Global STEM RET, facilitated by University of Dayton and Central State University, with in- and pre-service teachers from Dayton and surrounding area. He traveled to Banagalore, India, to observe and research how solar and other renewable energies are incorporated into developing areas and developed/published classroom curriculum. As part of this research
assistants tocurrent students who are struggling in a course [40], [41]. In our future work, we plan to explorethe impact of learning assistants more comprehensively by comparing the perceptions of bothinstructors and students. This investigation aims to identify and address recurring challenges inengineering statics. By reducing the high rate of failing grades and providing actionablerecommendations for statics instructors, this work seeks to improve students' learningexperiences and manage their expectations of the course.RecommendationsThe following summarizes our recommendations on improving the challenges students face inengineering statics based on this study’s findings:Revisit Prerequisite Concepts: Instructors should allocate time to revisit
? And I also think that it's just important to tie together these concepts. Yeah, engineering is involved with economics. Like, oh, yeah, this does matter. And on a global scale. And I think it's really cool for them to see these Geopolitics. Some students did projects one semester about different cooking oils, and there's a shortage there because Ukraine produces a bunch of cooking oil…. In the Design for Inclusion class we talk more specifically, I guess, about sustainability. And again, it’s sort of in the history of engineering itself. We watched a documentary called the Light Bulb Conspiracy and it really discusses the concept of planned obsolescence. It unveils this whole great story [about] a cartel of light bulb
(not replace) teachers.”These recommendations highlight a strong desire to instill ethical awareness and critical thinkingas part of AI use in education, ensuring that AI tools are pedagogically supportive and not misused.2. Customization and PersonalizationParticipants suggested that AI tools should be better tailored to meet the diverse learning needsof students and the instructional preferences of educators. Recommendations in this themeincluded: “Offer personalized learning based on student pace and style.” “Let educators customize AI outputs, lesson plans, and prompts.” “Provide multimodal support (e.g., visuals, audio, interactive tools).”These responses reflect a call for