the building of the graphical user interface (GUI) is its scalability—adesirable trait that ensures the GUI can manage an increasing amount of work by addingresources [5]. Designing it to handle varying load levels, particularly in a healthcare settingwhere demand can fluctuate, is crucial. Additionally, dynamic data handling, as opposed to statichardcoded values, contributes to a higher level of usability and scalability, allowing the system toadapt to changing conditions seamlessly [5]. Particularly in healthcare, rigorous testing of DSStools is essential to ensure they aid in making accurate, evidence-based decisions [6]. Thisprocess identifies limitations and inaccuracies within the tool and ensures its alignment withprofessional and
Associate Dean of Undergraduate Programs for the University Of Nebraska College OfEngineering and a Professor of Biological Systems Engineering. Dr. Jones has been involved with teaching,curricular and student development for over 20 years. He has a history of teaching engineering capstonecourses, fundamental engineering courses, and freshman introductory courses.STUART BERNSTEIN is an Associate Professor at the University of Nebraska – Lincoln, at Omaha, where hehas been teaching in the Durham School of Architectural Engineering and Construction for the past 10 years.Prior to that Stuart worked in the construction industry as a project manager, designer, and tradesman for 25years.Proceedings of the 2012 Midwest Section Conference of the American
Paper ID #42294Exploring the Landscape of Graduate Student Mental Health: Populations,Methods, and Terminologies-Who is Missing from the Conversation?Miss Motahareh Darvishpour Ahandani, Arizona State University, Polytechnic Campus Motahareh Darvishpour Ahandani is currently pursuing her Ph.D. in Engineering Education Systems and Design at Arizona State University. Serving as a research assistant, she brings with her six years of industry experience as a woman engineer. Her research interests focus on the mental health of international engineering graduate students, with a particular emphasis on the experiences of
industrycertification into a foundations of cybersecurity course. The integration was one of three courseobjectives with the other two being: 1) providing an overview of the cybersecurity field, and 2)developing the students’ team and presentation abilities. Regarding the integration of the industry certification, specifically the CompTIASecurity+ exam, students faced two primary challenges: 1) studying additional material thanmight otherwise be expected in an overview or foundational course on a topic at theundergraduate level, and 2) identifying the appropriate resources for managing the coursematerial while balancing the overall undergraduate program demands. Unsurprisingly, facultyfaced the same two challenges of including more material than might
/O’s. Such limitation hinders the scope of courses from more advancedapplications in image and video processing.In this paper, we introduce a novel senior-level real-time DSP laboratory course. The coursetargets senior Electrical and Computer Engineering (ECE) students who already took their firstDSP course and introductory programming courses of Python and C/C++. However, theprogramming skills used in the course do not require advanced concepts. The course aims tointroduce the fundamentals of real-time DSP by purposefully hiding the complexities associatedwith the hardware. This enables students to stay focused on learning new signal processing topicsand progress toward the non-traditional DSP topics. We adopted Android tablets for the
from Mercer University.Dr. Gupta’s interests include audio and bio signal processing. Besidesteaching, he supervises several master’s theses and is advising one Ph.D.student. He is also an active member of the biomedical engineering programat the University of Bridgeport. Gupta also likes to work with the localschools in the area of Bridgeport to encourage students to take up engineeringas a career. He and his graduate students have been working with middleschool students in Bridgeport to improve computer literacy. They are alsoinvolved with the Project Lead The Way program at Stratford High School inConnecticut.As a past Chair of ASEE (American Society for Engineering Education), Dr.Gupta has been very active in promoting engineering
. The accountability quizzes were mainly multiple-choice questionsconducted through the course management system (Canvas). Therefore, students could getimmediate feedback on their performance on that quiz. Programming homework assignments werealso used to assess the students' learning further.2.2. Direct Assessment of Student PerformanceThe homework assignments and exam scores were used to assess the student performance in theflipped modules vs. their performance in the non-flipped modules. The scores from the threesections were combined to increase the sample size for statistical comparison. The scores from theflipped and non-flipped modules were compared using paired samples t-tests and Glass' Deltaeffect sizes. Glass' Delta effect sizes were
visits. These visitsprovide a means to build interest in STEM areas in local schools. Next steps for the projectinclude improving the technical aspects of Herbie along with building stronger connections withalumni through social media.IntroductionHerbie is an autonomous robot designed and built at Cal Poly State University, San Luis Obispoand was initially envisioned to fulfill the purpose of a platform for research and student projects.The robot platform is ‘medium’ sized and allows groups of students to work on various aspectsof the robot. We have found ways to incorporate university students of various levels ofeducational experience (from freshman to senior students) into the development program. Overtime though, various roles have been
Paper ID #9255Residential Battery Energy Storage Systems (BESS) Modeling and Effect onthe Smart Grid from the Classroom Point of ViewMr. Nattee Cheeweewattanakoon, California State University, Northridge I am a graduate student at Calfornia State University Northridge in the area of Electric Power Systems. My research interests are Power Electronics and Renewable Energy. I am concentrating on residential energy storage and E2G (electric vehicle to grid).Mrs. Gurveen Kaur, California State University Born in India in 1986, I received my Bachelors in Science (Electrical Engineering) & Masters of Business Administration
problems than than students of equal ability but lower self-efficacy. 3Our instrument is designed to measure student interest and self-efficacy in relation to a variety ofgeneral cybersecurity topics ranging from “Install and run malware checking software on a homecomputer” to “Manage security for a Fortune 500 company.” This paper presents the developmentof, and initial results from, a pilot study using a prototype survey measuring student interest andself-efficacy in relation to cybersecurity. It builds upon the findings from a qualitativeinvestigation presented in our previous work. 5Curriculum StandardsThere is progress being made to improve the overall quality and consistency of cybersecurityeducation. In 2008, the ACM Special Interest Group
campus to conserve water waste. In June of 2018, I began my Master’s Degree in Project Management at Illinois State University. Currently, I work as the graduate assistant for the Office of Sustainability and continue to research methods for reducing the University’s carbon footprint.Dr. Matthew Aldeman, Illinois State University Matthew Aldeman is an Assistant Professor of Technology at Illinois State University, where he teaches in the Renewable Energy and Engineering Technology programs. Matt joined the Technology department faculty after working at the Illinois State University Center for Renewable Energy for over five years. Previously, he worked at General Electric as a wind site manager at the Grand Ridge and
" Advances in randomized MINIMAX algorithm" IEEE Transactions on Cybernetics, Engineering Innovation, vol. 5, pp. 16-19, Dec. 2023. vol. 43, no. 1, pp. 385-397, Feb. 2013. DOI: https://doi.org/10.54254/2977-3903/5/2023039. 10.1109/TSMCB.2012.2207951. [22] R. M. Savelli and R. de B. Seixas, "Tic-Tac-Toe and the Minimax[6] R. A. Duschl, A. W. Shouse, and H. A. Schweingruber, "What research decision algorithm" in Lua Programming Gems, L. H. de F., W. C., and says about K-8 science learning and teaching" Principal-Arlington, vol. R. L., Eds. Rio de Janeiro, Brazil: Lua.Org, 2008, pp. 239-245
, whereas the ego network on the right has a density of 1. Gray lines represent theconnections between the ego’s alters. The ego node has been removed from both images and theego-alter relationship is implied.MethodsIn order to study the relationship between social networks and student success, our team sent outan anonymous survey to engineering transfer students at a mid-sized, Mid-Atlantic University.The survey was designed using Qualtrics and consisted of a series of questions to answer ourresearch questions: 1) How do the social networks of lateral and vertical transfer students differfrom one another? and 2) What is the correlation between a transfer student’s social network andtheir experience of transfer shock?The full survey can be found in
Paper ID #26903Do They Understand Your Language? Assess Their Fluency with Vector Rep-resentationsProf. Eric Davishahl, Whatcom Community College Eric Davishahl is assistant professor and engineering program coordinator at Whatcom Community Col- lege. His teaching and research interests include developing, implementing and assessing active learning instructional strategies and auto-graded online homework. Eric has been a member of ASEE since 2001. He currently serves as chair of the Pacific Northwest Section and was the recipient of the 2008 Section Outstanding Teaching Award.Todd R. Haskell, Western Washington
also introduces the CIRCLE methodology—astructured, human-in-the-loop process for aligning curriculum to frameworks usingLLMs—which synthesizes best practices derived from the experiments.IntroductionAcademic standards management requires multiple retrospective efforts to ensure that thecurriculum and programs align well with established standards. These manual processes demandextensive work hours from subject matter experts (SMEs) for tasks such as document acquisition,classification, review, revision, and curriculum (re)alignment/mapping. While each task isdemanding in isolation, their cumulative effect can be overwhelming, particularly when SMEsmust meticulously map internal curriculum documents to expansive, multifaceted frameworks.This
probable is it for students to finish a longer video if theybegin watching it? 5) Do pre-class accountability quizzes serve as a good motivator for studentsto watch the video lectures?In this paper, to address the aforementioned research questions, we study students' average viewtime, video coverage, and their preference for the number of videos and the length of videos usedin the flipped machine learning course offered in spring 2022 and fall 2022 at the department ofelectrical and computer engineering (ECE), University of Pittsburgh. To accomplish this objective,we used statistics from the university’s video management system, Panopto, and anonymousstudent surveys. In addition, we also study students’ performance in modules with longer
philosophy and sociology of race and antiblack racism and employs Africana Philosophy, Critical Race Theory, and qualitative and historical methodology to investigate topics found at the nexus of race and adult education.Ms. Anna Sanczyk, University of North Carolina at Charlotte Anna is a doctoral student in the Curriculum and Instruction program and works in the Teacher Education, Advising, and Licensure office at the University of North Carolina at Charlotte. American c Society for Engineering Education, 2021 “Unequal Mentoring”: Perceptions of Mentoring of Doctoral STEM FacultyAbstractUnderrepresented minority (URM) students
] R. White, C. G. Levey, and L. Ray, “Byoe: Activities to map intuition to lumped system models,” in 2018 ASEE Annual Conference & Exposition.[4] H. C. Powell and J. B. Dugan, “Byoe: Student designed advanced laboratories for embedded computing concepts, hardware, and design,”[5] J. Del Alamo, L. Brooks, C. McLean, J. Hardison, G. Mishuris, V. Chang, and L. Hui, “The mit microelectronics weblab: A web-enabled remote laboratory for microelectronic device characterization,” in World Congress on Networked Learning in a Global Environment, Berlin (Germany), 2002.[6] S. Sze, Semiconductor devices, physics and technology. Wiley, 1985.[7] “Criteria for Accrediting Engineering Programs, 2020 – 2021 criterion 3. student outcomes
and a timely assessment of course improvements. This methodology iseasily adaptable to any lab course and can indicate where limited time and resources should bedirected for maximum impact.IntroductionLaboratory classes are a key component of mechanical engineering programs. Although theyhave proven educational benefits, and are generally required for accreditation, they represent asubstantial commitment of space, resources, and personnel. Because of the effort and financialinvestment involved in developing new lab experiments, it is easy for labs to stagnate andbecome out of date. Virtual labs and simulations have been used to combat this in many casesbut hands on and open ended experiments still have immense value for student learning.In
-person Classroom Attendances During the Pandemic," in 2021 IEEE Frontiers in Education Conference (FIE), 2021: IEEE, pp. 1-4.[17] M. A. Zaghloul, A. M. Hassan, and A. Dallal, "A survey-based study of students' perspectives on remote electronics and electronics lab courses during COVID-19 pandemic," in 2021 IEEE Frontiers in Education Conference (FIE), 2021: IEEE, pp. 1-4.[18] M. A. Zaghloul, A. Hassan, and A. Dallal, "Teaching and managing remote lab-based courses," in 2021 ASEE Virtual Annual Conference Content Access, 2021.[19] A. M. Hassan, A. Dallal, and M. A. Zaghloul, "Students' Perspectives on Online Lecture Delivery Methods for Programming Courses: A Survey-based Study during COVID-19," in 2021 IEEE
disciplines such as Systems Engineering, Engineering Management, and evenbusiness.AcknowledgmentWe would like to thank Dean’s Excellence in Teaching and Learning Grant of College ofEngineering and IMSE Exploratory Research Program for the financial support. We would alsolike to thank Atousa Arzanipour for her contribution in producing the tactile aids.References1 Schwanenflugel, Paula J. Why are Abstract Concepts Hard to Understand? The Psychology of Word Meanings. Accessed on: Feb. 4, 2022. Available: https://www.oreilly.com/library/view/the-psychology- of/9780805806618/xhtml/17_chapter09.xhtml2 McRae, Ken, Daniel Nedjadrasul, Raymond Pau, Bethany Pui‐Hei Lo, and Lisa King. “Abstract concepts and pictures of real‐world
of the LGBTQ+ community. Being a part of that small group, it was hardenough to find allies in the major, let alone in the faculty. With my classrooms and professorspredominantly represented white cis-gendered heterosexual men, it takes a toll on your health,both emotional and mental. It’s a constant reminder that you’re an imposter, that you’re in aspace that was not designed for you to succeed.Naturally, I was not going to let this hinder me. I still wanted to become the first engineer in myfamily. I still wanted to receive an education. I still wanted to be as authentic to myself as I canand navigate through the major. Unfortunately, staying true to yourself wasn’t the easiest whenyour always the ‘different’ one in a classroom. I learned
According to [5], students also experience a great deal ofinto one.” This makes it difficult for the student to stay on trouble finding a proper part-time job to help with theirtrack with the material, which might result in a lower grade financial needs as the article states, “securing a job is verypoint average. Therefore: difficult.” [4] emphasizes that even if a job is secured,The curriculum and its delivery should be designed to be there is a major difficulty balancing academic workload andconsistent and explicit in assisting students
://www.brookings.edu/research/opportunity-engines-middle-class-mobility-in-higher-education/major from either other City Tech majors or from other colleges. All of these students came witha background in mathematics and programming and were eager to start taking the Data Sciencecourses designed specifically for the Data Science program. Thus, the first seven students whograduated with BS in Data Science degree in December 2022 had already completed the CS1, CS2,and CS3 sequence by the time City Tech moved to remote teaching in Spring 2020.According to the presented numbers and despite the outlier (BS in Data Science), the analysis ofthe CST department enrollment and performance of the CST students in the introductory levelcourses could provide an insight into
M.S. degrees in Civil Engineering from Ohio State and earned her Ph.D. in Engineering Education from Virginia Tech. Her research interests focus on the intersection between motivation and identity of undergraduate and graduate students, first-year engineering programs, mixed methods research, and innovative approaches to teaching. c American Society for Engineering Education, 2020 Using Qualitative Techniques to Understand the Types of Undergraduate Research MentorshipIntroductionMentoring is a form of teaching and learning that can be optimized to further enhance the qualityof education. A greater understanding of the benefits of mentoring could help create morementorship
Paper ID #17618The essence of computational thinking and tools to promote itProf. Osman Yasar, State University of New York, Brockport Osman Yasar is an endowed professor and director of the CMST Institute at The College at Brockport, SUNY. He established the first undergraduate degree program in computational science in the United States and developed a computational pedagogical content knowledge (CPACK) framework for teacher education. His research interests include engineering and science education, computational pedagogy, computational and scientific thinking as well as fluid dynamics, engine ignition modeling, and
Aerodynamics: A Design/Build/Test Experience forUndergraduate Mechanical Engineering Students”, 2006 Annual Conference & Exposition,Chicago, Illinois, 2006, June. ASEE Conferences, 2006. [Online]. Available:https://peer.asee.org/1182. [Accessed Feb 22, 2023].[13] S. Post, S. Seetharaman, and S. Abimannan, “A Design Build Test Fly Project InvolvingModeling, Manufacturing, And Testing”, 2010 Annual Conference & Exposition, Louisville,Kentucky, 2010, June. ASEE Conferences, 2010. [Online]. Available:https://peer.asee.org/15791. [Accessed Feb 22, 2023].[14] M. Kaushik. Thin Airfoil Theory. In: Theoretical and Experimental Aerodynamics.Springer, Singapore. 2019. [Online]. Available: https://doi.org/10.1007/978-981-13-1678-4_5.[Accessed February 26
Paper ID #18531Investigating the Effect of Temperature in RFID TechnologyDr. Tae-Hoon Kim, Purdue University NorthwestDr. Lash B. Mapa, Purdue University Northwest Lash Mapa is a Professor in Industrial/Mechanical Engineering Technology at Purdue University Calumet (PUC). His undergraduate and graduate degrees are in Chemical Engineering. He has several years’ experience as a Chemical Engineer, Process and Project manager with European and U.S. manufacturing organizations. Currently, he is involved in the MS Technology program at PUC and has managed over thirty lean six sigma projects with manufacturing, service industry
Sinchana Sulugodu Shashidhara Dept of EECS Syracuse University Syracuse, NY USA ssshashi@syr.eduAbstractThe disparity of women in STEM (Science, Technology, Engineering, and Mathematics) discipline have beena persistent problem in the United States of America. Research suggests that women who join STEMdiscipline leave very frequently to care for their families, financial setbacks, personal obligations, and callto active-duty program. Returning women, very rarely choose to pursue STEM education or cannot enterthe STEM workforce because - 1) these fields are constantly
. Entity Verdict CSTA Standard Human similar Decompose problems and subproblems into parts to facili- tate the design, implementation, and review of programs. Claude identical Decompose problems and subproblems into parts to facili- tate the design, implementation, and review of programs. Llama identical Decompose problems and subproblems into parts to facili- tate the design, implementation, and review of programs. ChatGPT similar Decompose (break down) problems into smaller, manage- able subproblems to facilitate the program development