engineering students were able to consider how the application ofengineering technology can cause violence, they struggled to engage with the politics of whatengineering work is valued and who engineering designs serve or harm. This paper seeks to add to this scholarship by producing an analysis of how studentsconstruct various stakeholders in a sociotechnical scenario, with particular attention to how theseconstructions inform students' understanding of harm from engineering in the context of thepresented scenario. The analysis finds that (i) the individual stakeholder constructions do notemerge in isolation and are instead entangled with each other, forming an ecology in which eachconstruction is informed by and informs the others; and (ii
engineering students were able to consider how the application ofengineering technology can cause violence, they struggled to engage with the politics of whatengineering work is valued and who engineering designs serve or harm. This paper seeks to add to this scholarship by producing an analysis of how studentsconstruct various stakeholders in a sociotechnical scenario, with particular attention to how theseconstructions inform students' understanding of harm from engineering in the context of thepresented scenario. The analysis finds that (i) the individual stakeholder constructions do notemerge in isolation and are instead entangled with each other, forming an ecology in which eachconstruction is informed by and informs the others; and (ii
,” the distance between researcher and researched is breached. Inthis “close-to-home study” of change agents in a social/intellectual movement withinengineering, the two ethnographers are studying very close to home, studying their colleagues,themselves, and the myriad of relationships among the team.28 This methodological strategyrequires new tools and methods and more time and effort than the “old story” of traditionalanthropology.9Other traditional ethnographic methods must be adapted when using PAR methods. Akin to otherscience and technology-focused ethnographies, we rely on a multisited approach.13, 14 Ourproposed project is multisited and will involve “interacting with informants across a number ofdispersed sites, not just in local
global challenges. For instance,digital twins enhance efficient and lifelong building information management; Internet of Things (IoT)technologies are crucial to promote sustainability; robotic and automation technologies address laborshortages; and generative artificial intelligence (AI) improves work productivity. Consequently, theshift toward a digitalized world is an inevitable trend across the industrial sector.With the advancement of various emerging technologies, MTR established a mission to deploy smartmaintenance strategies in the workplace through adopting identified new technologies. However, only asmall portion of employees possess the necessary digital skills. Many, including technicians,supervisors, maintenance engineers, and
ethical reasoning or moralintuitions in their first year of study? Do differences or patterns emerge cross-culturally overthe four years of their undergraduate education? However, very little can be concluded aboutthe educational interventions and the impact of ethics education in the engineering curriculumunless the quantitative data are combined with detailed information about the ethics educationthat students receive. Some of this will come through interviews with students and faculty.However, we are also interested in assessing and understanding the differences betweenvarious ethics-related curricular and extracurricular educational and formative experiencesengineering students have, which vary based on cultural and other contextual factors
and tens of teachers implementing thecurriculum allowed us to develop concrete examples of how students engaged in CTcompetencies as well as how kindergarten through second grade teachers fostered CTcompetency development. We report on these examples and how they informed the developmentof the integrated STEM+CT science center exhibit and curriculum.Evolution of CT competencies for K-2 studentsDeveloping computational thinking (CT) has recently emerged as an important educationalobjective in a world that is advancing technologically computational devices and systems arecollecting and analyzing data to shape the world around us. This recent push has resulted innumerous groups proposing vocabulary and definitions for what comprises CT. As we
University.Ing. Mayari Illarij Serrano Anazco, Purdue Polytechnic Institute MAYARI SERRANO is currently a graduate research assistant in the College of Engineering at Purdue University. She earned her B.S. degree in Biotechnology Engineering from the Army Polytechnic School, Quito, Ecuador. She completed her M.S. in Computer and Information Technology at Purdue University. Mayari is currently a PhD student at Purdue University and is working in for the Women in Engineering Program. Her interests include foster STEM enthusiasm, and technology innovation.Dr. Beth M. Holloway, Purdue University, West Lafayette Beth Holloway is the Assistant Dean for Diversity and Engagement and the Leah H. Jamieson Director of the Women in
. http://www.onlineethics.org/essays/author/authorship.html.14. Office of Science and Technology Policy (OSTP) (2000). Federal Policy on Research Misconduct,http://onlineethics.org/fedresmis.html15. Federal Register (2005), Public Health Service Policies on Research Misconduct; Final Rule, 42 CFR Parts 50and 93, Section 93.103, Definition of Research Misconduct.16. Tufte, E. R. (2001). The Visual Display of Quantitative Information, 2nd ed. Cheshire, CT: Graphics Press.17. Hart, H. and Lawler, D. (1999). A Guide to the Preparation of Theses and Dissertations in Science andEngineering. http://www.ce.utexas.edu/prof/hart/389c/readings.cfm (Accessed March 2005).18. Cleveland, W.S. (1994). The Elements of Graphing Data. Revised edition. Summit, NJ
fields among community college students, specifically traditionally under-represented student populations. She served as the lead-guest editor of the Special Issue on Community Colleges for the Journal of Women and Minorities in Science and Engineer- ing (volume 16, issue 1, 2010) and received the Barbara K. Townsend Emerging Scholar Award from the Council for the Study of Community Colleges in spring 2010. Dr. Starobin is currently conducting a funded study that examines the effects of STEM Student Success Literacy on transfer among community college students in pre-STEM fields.Prof. Frankie Santos Laanan, Iowa State University Frankie Santos Laanan is professor of higher education in the School of Education at Iowa
." It is a way ofperceiving and exploiting opportunity wherever it is found. Students are given theopportunity to explore markets for their own ideas and to conceptualize a businessenterprise for such markets.A wide variety of teaching strategies will be discussed in this session, includinglecturettes, video clips, guided discussions, peer group learning, telephone/videoconferencing, outside entrepreneurial speakers, online searches and comprehensive web-based interactions. Online presentation of materials will be discussed, and heavyemphasis will be placed upon the use of technology in the learning environment.Learning concepts developed by Clouse and Goodin related to "just in time" teachingand "whole-part-whole" techniques will be
Education Pacific Southwest Regional Conference 71 this intrinsic material may not be altered by an instructor. In learning a foreign language, this includes the vocabulary and syntax. • “Extraneous cognitive load” is generated by the manner in which information is presented to learners [3] and, in the case of a programming language, the ancillary information such as text editors, compilers and operating systems. Or, in the case of a spoken language, the technologies such as language labs or voice recordings. • “Germane cognitive load” was first described by Sweller, van Merrienboer, and Paas
and A. Ade-Ibijola, “Chatbots applications in education: A systematic review,” Computers and Education: Artificial Intelligence, vol. 2, p. 100033, 2021. [7] M. A. Kuhail, N. Alturki, S. Alramlawi, and K. Alhejori, “Interacting with educational chatbots: A systematic review,” Education and Information Technologies, vol. 28, no. 1, pp. 973–1018, 2023. [8] C. Kaendler, M. Wiedmann, N. Rummel, and H. Spada, “Teacher competencies for the implementation of collaborative learning in the classroom: A framework and research review,” Educational Psychology Review, vol. 27, pp. 505–536, 2015. [9] Z. Ji, N. Lee, R. Frieske, T. Yu, D. Su, Y. Xu, E. Ishii, Y. J. Bang, A. Madotto, and P. Fung, “Survey of hallucination in natural
aremeant in part to serve as an aid in reducing financial pressures on libraries, defines institutionalrepositories in terms of capturing and preserving intellectual output in their August 2002 positionpaper3. The paper goes on to stress the importance of open or low-barrier access and the abilityto share metadata with external systems to facilitate access to the broader research community.Clifford Lynch, Executive Director, Coalition for Networked Information, defines IRs in termsof a set of management and dissemination services provided by institutions. He stresses theimportance of managing technological changes by migrating digital content to assure that at leasttheir own intellectual content is preserved. With libraries increasingly cancelling
, boundary spanning activities, and relatedcompetencies and attributes. Each category is comprised of more specific codes, and in somecases more specific subcategories. While detailed information about these categories and codesis beyond the scope of this paper, we used this codebook as an initial guide our deductivethematic analysis. While looking for the codebook’s themes, we were particularly attentive to letthe data challenge and modify the codebook itself, including by allowing other themes to emergefrom the data. The three authors applied this approach independently and met several times todiscuss disagreement and to come to a final consensus on all coding decisions. During thisprocess, we also paid particular attention to three emergent
, and the application of emerging technologies in solving real-world problems.Dr. Ricky T Castles, East Carolina University Dr. Ricky Castles is an associate professor in the Department of Engineering at East Carolina University. He serves as concentration coordinator for ECU’s Electrical Engineering concentration. His research work focuses on the use of wireless sensor networEmily Fuller Sondergard Emily Sondergard is a graduate from the College of Engineering and Technology at East Carolina University and a Chancellor’s Fellow graduate from the Honors College at East Carolina University. She earned her Bachelor of Science degree in Engineering with an Industrial and Systems Engineering concentration. Her
, to connect with students remotely. Fortuitously, West Point had justcompleted a multi-year information technology transition in 2019, which provided robust andresilient IT infrastructure capable of handling the demands of online instruction.Due to the widespread impacts of COVID19, most colleges and universities still find themselveson the recovery curve (Figure 1, Step 3) at the time of this study. In some ways, aspects of the‘new normal’ that institutions established in the COVID-19 environment will not be ‘temporary’ 4but will instead become routine. The COVID-19 recovery period provides us opportunity toreflect and rethink activities. As institutions begin to return to pre-pandemic
tools and methodologies, such as simulation and gamification, to better engage and inspire learners. With the understanding that outstanding medical education requires faculty who excel at leveraging these innovative tools, he created and now serves as the co-director of the of the Multimedia Design Education Technology (MDEdTech) Fellowship through the Department of Emergency Medicine at UC Irvine. He also serves as the lead architect for the iMedEd Initiative at the UC Irvine School of Medicine, creating a technology-enhanced curriculum that has led to the UCI School of Medicine being recognized as an Apple Distinguished School. Through iMedEd, Dr. Wiechmann continues to focus on innovative Medical Education
. These results will inform future data collection and analysis as we return to in personlearning to better distinguish the impacts of exam and learning formats on diverse students’anxiety and academic performance.IntroductionThe role of anxiety on performance of mathematics has been explored by many researchers overthe years. Numerous studies have correlated increased anxiety levels to more frequent errors incomplex math problems [1–4]. This led to the concept of processing efficiency theory, whichsuggests that anxiety occupies some of the “working memory” that an individual has forperforming mental calculations, leading those with higher anxiety to have less available mentalresources to perform the task and thus perform poorly. Other
“Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright © 2003, American Society for Engineering Education”III. Role of Civil EngineersClough (2000) states, “Today, most of the buzz is about biotechnology and informationtechnology, but the future of our society also rests on technologies that are more basic to itsfunctioning. The combination of a growing world population with the human tendency to delaydealing with infrastructure and environmental needs until they have reached crisis proportions,means that our profession will become more essential than ever before.” Clough acknowledgesthat there are emerging fields where most research money is being poured, and urges
with accessibility codes? 3. Will the organization provide on-site orientations for students? If yes, will the orientations include the following: a. Hours available for students to be at the learning site(s) b. Informing students where to park c. Informing students of the closest public transportation options d. Procedures for checking-in at the learning site(s) e. Procedures for students and supervisors to track students’ hours f. Organizational dress-code g. Tours of the learning site(s) h. Introduction to the students’ work areas i. Introduction to other employees/volunteers j. Confidentiality training: k. Safety and emergency
techniques, statistics and applications, data analysis and information methodologies, projects, engineering, economics, and business.Douglas Lee Robertson, Florida International UniversityJulian Rodrigo Sosa-Molano, Florida International University Julian is a graduate research assistant at Florida International University. He holds a BSc in Electronics Engineering from Pontificia Universidad Javeriana in Colombia and a MSc in Electrical and Computer Engineering from The University of Arizona. He is pursuing his PhD degree in Engineering and Computing Education at Florida International University. He has professional experience in Information Technology, Semiconductors, and Telecommunications in international companies such
elements, basic definitions of Co-Op, internship and Professional Practice emerged. It wasdecided that henceforth Purdue would promote Professional Practice, a term which includes boththe internship and Co-Op experiences. A revised mission statement for the program wasdeveloped that incorporated the University’s strategic goals and broadened the scope of ourassignment. Following the completion of the evaluation process, new programs were designedwhich fit the new definitions, mission statement, and student needs. This paper will discuss thecompromises and adaptations required on the part of the university to develop new workexperience programs. This information should be useful to other practitioners preparing toundergo a similar evaluation and
issues concerned with the transfers of theseconcepts to an engineering context. This includes the discussion of lessons learned from thetransdisciplinary dialogue. More specifically, these insights provide a new perspective onengineering communication on a conceptual as well as instructional level.1 Introduction: The need to foster empathic communication as part of engineering students’ professional developmentAs the nature of engineering work changes from well-defined, technological questions to broad,multi-facetted, and ill-defined issues 1, a focus of engineering education on preparing studentsfor socio-technical complexity emerges 2-6. The socio-technical systems, that constitute the coreof the engineering work our current students will
seminars often introduce ethics and professionalresponsibility and cover some study survival skills. Intimacy of small group settings is preferredto provide student-faculty interaction. In rare cases, the seminars may have a liberal arts orinterdisciplinary backdrop. Stengel,10 for example, describes a Princeton seminar on space flightwhich exposes liberal arts students to details of technology and engineering students to societalimpacts of technology. Tryggvason and Apelian11 have argued that the engineer of the 21stcentury will be redefined. Advances in information technology have made all informationavailable to everyone everywhere with almost infinite speed and ease. A paradigm shift ineducation is indicated. Now, rather than merely to deliver
, typical faculty support and resources do notcater well to their needs.Opportunities In recent years, as generative AI took the center stage of technology development, thereare emerging studies on utilizing artificial intelligence in effective employee onboarding [10][11] and human resource management practices [12] [13]. However, currently, there have beenfew to none research studies that focus on utilizing artificial intelligence in faculty engagementand support. While new faculty can be treated as other new employees, industry experts who aretransitioning into teaching in universities are also unique in their own ways as mentioned. Withthis understanding, the ultimate goal of this research is to explore the options to help
University. He earned a B.S. in Agricultural and Biological Engineering from Purdue University. His research interests include models and modeling, computational thinking, and computation in engineering education.Dr. Viranga Perera, Purdue University, West Lafayette Viranga Perera is a postdoctoral researcher at Purdue University. He obtained his Ph.D. from Arizona State University in 2017. His research interests are in STEM education and planetary physics.Dr. Alejandra J. Magana, Purdue University, West Lafayette Alejandra Magana is the W.C. Furnas Professor in Enterprise Excellence in the Department of Computer and Information Technology and an affiliated faculty at the School of Engineering Education at Purdue
tinkering and technical self-efficacy in engineering, in American Society for Engineering Education Annual Conference and Exposition. 2008: Pittsburgh, PA.9. Quade, A. Development and validation of a computer science self-efficacy scale for CS0 courses and the group analysis of CS0 student self-efficacy. in International Conference on Information Technology: Computers and Communications. 2003. Las Vegas, NV.10. Massachusetts, Department of Education, Massachusetts science and technology/engineering curriculum framework. 2001/2006, Malden, MA.11. Cronbach, L.J. and P.E. Meehl, Construct validity in psychological tests. Psychological Bulletin, 1955. 52: p. 281-302.12. Richardson, A.L. Tinkering
approachtaken by the authors to teach their university's freshman-level introductory course for IndustrialEngineering majors. First, published information on and results from freshman engineeringcourses and programs at various colleges and universities are documented. Then, the approachthe authors' university has taken in the past to teach its freshman-level introductory course inIndustrial Engineering is presented. This is followed by the motivation for and description of thecourse's new curriculum, a comparison of student evaluations before and after the curriculumchange, and a discussion of future changes for the course's curriculum.IntroductionAs the 21st century begins, the demand for an abundant and talented science, technology,engineering, and
meaningful experience to help consolidate the knowledge,it is difficult to capture all the scenarios and fully replicate the actual physical experiments. Tofully represent the real experimental settings, remote laboratories that allow for conductingphysical experiments remotely through computers were developed8,9. While the remotelaboratory offers the ability to participate physical experiments remotely, users need computersto access experiments. In addition, as inherent with virtual laboratory, it may create a passiveenvironment where the views and observations are confined within certain setups10.Advancement of technologies and the emergence of the Internet of Things (IoT) make it possibleto further strengthen the accessibility of the remote
“Very confident.” Mean Standard Response Deviation Question 3.406 1.102 Self-confidence 3.472 0.868 Persuade others 3.683 0.936 Have information technology skills 3.767 0.992 Build and maintain relationships 3.728 0.927 Motivate others 3.817 0.972 Lead others 3.844 0.991 Understand your own culture 3.856 0.992 Be able to develop clear goals, self-direction, and self-discipline 3.889 0.804 Express and receive ideas clearly 3.889 0.776 Have the ability to effectively find, evaluate, and use information 3.894 0.948 Be responsible for team members 3.978 0.871 Communicate with others effectively in different contexts 4.011 0.997 Have a sense of citizenship