STEM education (2010), the National Impact Report of theNSF’s Math and Science Partnership Program (2010), and the Information Technology &Innovation Foundation’s report on STEM education (2010). Pulling from the literature, theGEMS intervention revolves around a partnership comprised of researchers from a large urbanuniversity, two private foundations, a high-tech medical simulation center, and a rural schooldistrict.Effective STEM programming targets the root of the problem; low undergraduate recruitmentand retention which partially explains the supply shortfalls within STEM career development.However, issues underlying low undergraduate recruitment may begin during middle school.Education research strongly urges that students begin
an agricultural waste system in Costa Rica. As aresult, CSU-Chico students were tasked with assessing the life cycle environmental andeconomic impacts of an agricultural waste system in an interdisciplinary junior level civilengineering course called “Engineering Sustainability and Economic Analysis”. This paperdescribes the international project in Costa Rica, assessment of student performance on theproject to inform new ABET student outcomes, highlights from a student self-efficacyquestionnaire, and instructor insights for future improvements relevant to universities seeking toexplore the food-water-energy nexus in a global context.2 Site LocationCosta Rica has made tremendous strides towards green energy, biodiversity preservation
. The step requires active learning principles. The classical approach in engineering education is the short-answer homework problem, but discussions, laboratories and group problem solving are also successful. Obtaining laboratory data to verify predictions from the materials learned in Step 2 is another common approach for Step 3. Additionally, the emerging use of technology in the classroom can be applied in this step. Page 12.412.6 4. Connection to the Real World. In Step 4, the students are required to expand the analysis, synthesis, evaluation applications used in Step 3 under conditions of fewer
1375, Proceedings of the 2004 American Society for Engineering Education Conference and Exposition, Salt Lake City, UT, June 2004. 3. Forehand, M. (2005). Bloom’s taxonomy: Original and revised.. In M. Orey (Ed.), Emerging perspectives on learning, teaching, and technology. Retrieved January 2, 2008, from http://projects.coe.uga.edu/epltt/. 4. ABET, (2007, March, 17). Criteria for Accrediting Engineering Programs. Retrieved June 17, 2007, from ABET Web site: http://www.abet.org/forms.shtml Page 13.1381.7 Appendix I
, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National Science Founda-tion.References [1] S. Hansche, “Designing a security awareness program: Part 1”. Information systems security, vol. 9, no. 6, pp.1-9, 2001. [2] E. Crowley, “Information system security curricula development”. In Proc. 4th conference on Information technology curriculum. pp. 249-255, 2003. [3] J. Seberry, and J. Pieprzyk, “Cryptography: an introduction to computer security”. Prentice- Hall, Inc, 1989. [4] Cryptography in Digital Age, https://www.mckinsey.com/ /me- dia/mckinsey/business%20functions/risk/our%20insights
learners.IntroductionRecent advances in artificial intelligence have revitalized interest in personalized learning (PL).In particular, large language models (LLMs) have emerged as a promising tool to tailoreducational content to the needs of diverse learners in both K-12 and higher education [1].Although PL has been widely researched for its potential to optimize student engagement andimprove learning outcomes [2], its implementation often remains limited by constraints on real-time customization in either computer-based or in-person interventions. With modern LLMs,educators and researchers now have the tools to move beyond static resources or rule-basedadaptive tutors towards more dynamic systems that can customize learning materials on demand[3]. This shift not
thatcharacterizes the common design behaviors and thinking strategies of both novices and experts. A review of the literature identified three broad strategic areas that have been common subjectsof study or highlighted in the results of studies of both expert and novice designers. How a designerviews the design problem at hand is intimately connected to how the designer attempts to find asolution to the problem. Equally important is how designers manage their own knowledge of thedesign problem and use it to manipulate and navigate through the solution they are developing. Thethird strategic area identified deals with the way the designer makes design decisions, includingwhat information is used and how the decisions are grounded or justified.Expert
are expected to be emergent skills that will need further refinement after the course.Research was conducted with consenting participants from the course using qualitative contentanalysis of student responses to prompts with the aim of assessing course outcomes. Resultsindicate that the multidisciplinary experience and use of and maker technologies enhance studentlearning and engagement, foster teamwork and interdisciplinary skills, and increase students’ability to innovate.IntroductionIt is well known that engineering involves integrating broad knowledge towards some purpose,generally to address a need or solve a problem. As we move into a global future, engineers canno longer isolate themselves and must be prepared to work across
in a Freshman Introduction to Electrical and Computer EngineeringIntroductionThe issue of how to most effectively teach ethics in engineering education continues to be apersistent concern in the field. As early as the 1940s, engineering professionals articulated afocus on public safety, health, and welfare. The Accreditation Board for Engineering andTechnology (ABET) solidified this focus when it adopted criteria requiring that ethicalresponsibility be included in curricula of accredited institutions [1]. As a result, college textbookauthors soon began to include information about professional and ethical responsibility in theirpublications [2]. Over time, these trends have increased scholarly interest in the
, science, consistent with systems, geo-spatial representation, and the program educational information technology objectives; Understand fundamentals of several apply knowledge of recognized major civil engineering areas four technical areas appropriate to civil engineering.2. An ability to Design and conduct field and laboratory 3(b) An
technology.III. What is Software Defined Radio(SDR)?Software Defined Radio (SDR)11-14 is an emerging technology built on one of the greatdevelopments of the 20th Century: fast and cheap microcomputers. It represents a new method inprocessing radio signals that is a quantum leap over the older, original method of analogprocessing.Since the invention of radio in the late 1800’s, signals have been processed through a singlemethod: the signal is picked up by an antenna that turns the radio wave back into a fluctuatingvoltage signal. This signal is passed on to various components in the receiver which react with itto eventually produce the sound, video or data that is desired.The function of these components and systems has been modeled mathematically in
using web-based synchronous and asynchronous communication tools. Each group met virtually usingAdobe® ConnectTM (Adobe Systems, San Jose, CA) and shared resources through Open Atrium1.0 (Phase2 Technology, 2011) web portal. More information about the synchronous andasynchronous communication tools can be found in Authors (2013) and Authors (2016).Research Question Two different approaches were utilized between the two cycles, prompting the question:which approach is more effective? More specifically, we wanted to know if there were anysignificant differences between the two cycles regarding F-VCP participants understanding andimplementation of research-based education practices. We framed our research question usingRogers’ (2003
conventional and emerging technologies, including intelligent systemsLinux As data teams, we aim to consider As data teams, we aim to respectFoundation carefully the ethical implications of and invite fair criticism whileProjects [12] choices we make when using data, and promoting the identification and the impacts of our work on individuals open discussion of errors, risks, and society. and unintended consequences of our work
AC 2010-1780: INCORPORATING ENTREPRENEURSHIP INTO A HANDS-ONFACILITY PLANNING COURSEJoseph Chen, Bradley University Joseph C. Chen, Ph.D., PE is a Professor and Department Chair in the Department of Industrial & Manufacturing Engineering & Technology at Bradley University. He received his M.S. and Ph.D. degrees from the Department of Industrial and System Engineering at Auburn University in 1990 and 1994, respectively. His teaching interests include: Lean manufacturing system design, automated manufacturing processes, facility design, Taguchi design in quality, etc. His research interests include: RFID application, manufacturing system control, cellular manufacturing system design
Engineering in Action," in Proceedings of the 2016 ASEE Annual Conference, New Orleans, Louisiana, 2016. [6] M. E. Angelaki, F. Bersimis, T. Karvounidis, et al., "Towards More Sustainable Higher Education Institutions: Implementing the Sustainable Development Goals and Embedding Sustainability into the Information and Computer Technology Curricula," Education and Information Technologies, 2023. [7] W. Li, C. Turner, and A. Martinez, "Developing Sustainable Engineering across a College of Engineering," in Proceedings of the 2001 ASEE Annual Conference, Albuquerque, New Mexico, 2001. [8] C. R. Montenegro de Lima, T. Coelho Soares, M. Andrade de Lima, M. Oliveira Veras, and J. B. S. O. d. A. Andrade Guerra
, butlearning about engineering is frequently seen as a hurdle by teachers and assumed to be deliberatelyintegrated in STEM activities [1]. Even more issues emerge as teachers are asked to facilitate STEMteaching and learning for students classified as English Learners (ELs). Bilingual teachers, in particular,are faced with the challenge to integrate language and STEM content [6, 7], where expertise in sciencevocabulary is often seen as a must rather than helping the students learn through conceptualunderstanding [8] while sustaining the linguistic practices of the students.Despite the national call to integrate engineering in PK-12 settings, there are still several challenges thatemanate from instructional practices including the nature of the
imagine. One emerging area incorporatingconcepts from outside the traditional circuits domain is fractional-order circuits and systems.This area brings concepts from fractional calculus [1], the branch of mathematics concerningdifferentiation and integration to non-integer orders, into the design, analysis, andimplementation of electrical circuits and systems. While fractional calculus has traditionally beena domain of mathematicians, recent progress has shown that many systems encountered inelectronics, signal processing, control theory, and biological modelling are well described byfractional-order models [2, 3, 4]. Applications of fractional-order systems range from the controlof industrial machines with lower control effort and lower energy
Paper ID #22848Developing a Systems Thinking Integration Approach for Robust Learningin Undergraduate Engineering CoursesDr. Federica Robinson-Bryant, Embry-Riddle Aeronautical University- Worldwide Dr. Federica Robinson-Bryant is an Assistant Professor at Embry-Riddle Aeronautical University- World- wide. She is the Program Chair for the Master of Systems Engineering program and a member of the Dept. of Engineering and Technology. c American Society for Engineering Education, 2018 Developing a Systems Thinking Integration Approach for Robust Learning in Undergraduate Engineering
Rochester with a major in Psychological Development. She previously taught at the University of Rochester, Southern Utah University and the University of Central Florida. In 2000, Dr. Frederick joined the Human Factors and Systems Department at Embry- Riddle, where her work focused on applied motivation and human factors issues in aviation/aerospace. Dr. Frederick also served in various roles in University administration between 2004-2012, including Vice President for Academics and Research. Dr. Frederick’s current research interests examine how individual differences interact with technology to enhance educational engagement and performance. Dr. Frederick is the author of more than 50 research publications, 4 book
meaning of sustainability? Who must be included in thedetermination of what is to be sustained? Should we be concerned not with the meaningof sustainability but rather the implications of sustainability as they affect the status quo?Ultimately, why is sustainability even desirable? With respect to complexity, we shallexplore the implications of non-linearity and emergence, the preference fordifferentiation and the notion of interconnectedness that characterize complex systems.How do these fundamental principles of complex systems influence our ethical decision-making? How do they change – if at all- our understanding of our ethical responsibilitiestowards society and towards the environment?SustainabilitySustainability refers to the capacity to
topics will allow each student to consider appropriate actions in relationto his/her own personal code and desirable behavior according to the professional code.Ethics and character education is becoming a component in many professionalcurriculums across the nation. Some engineering programs are electing to teach specificcourses related to this topic, while other programs are investigating techniques toimplement this ABET accreditation requirements into existing courses. “This is not to saythat required courses in engineering ethics have become norm” comments Herkert (2002)from the National Academy of Engineering in his article Continuing and Emerging Issuesin Engineering Ethics Education. According to a 1999 study, “nearly 70 percent ofABET
processes Erickson[9] Psychosocial - biological and sociocultural factors influence learning Wenger & Lave[10], Situated - social engagements provide proper Schon[2] context that helps learning Atkinson & Shiffrin[11] Information processing - storage, retrieval and decision making in understanding learningTable 1. A sample of theories on learningThis aspiration to build thinking machines, together with paradigms on artificial intelligencehave shaped the tools and applications created over the past decades. As new theories andknowledge are developed, new paradigms have also emerged as seen from the pattern of
efforts on learning, professors can exploit information technology toprovide data, scholarly references, and simulated problems for cognitive workshops. Inthose workspaces, student investigators will work side by side with faculty. Togetherthey will learn to create, evaluate, improve, and apply knowledge. Students will learn tobe experts and faculty will sharpen their expertise.There won’t be “a” talking head, but scads of conversations. There will be studentstearing into problems with all the vitality of youth. And there will be, liberated frommoldy job descriptions and the ruination of a bad idea, professors who create and conductworkshops of learning with the ebullience of orchestra conductors and movie directors.Application of the
work place andthe rigor of an academic challenge. Projects should use all the skills of the student and requireconcrete, measurable outcomes.C. The Learning Factory (Laboratory Facilities for Projects)As much as we like to espouse the virtual organization, it is healthy to have a dedicated space tofocus the activities of the work. The Learning Factory is more than a lab. It is the intersection ofindustry and the classroom. Here is where technology is applied to the design of real worldproblems that will be translated into industry solutions for the marketplace. As with any robustdesign, the Learning Factory has the potential to provide value well beyond the students’ project.By the Teach, Learn, Teach Principle, the developments that emerge
was determined that the research would initially pilotthree separate surveys: (1) a survey targeting engineering deans and department chairs to identifythe names of individuals at their institution who teach students about ethics; (2) a surveytargeting faculty who teach engineering students about ethics via courses; and (3) a surveytargeting faculty who mentor co-curricular activities in engineering.The surveys were each developed using Qualtrics survey software and by keeping in mind bestpractices of usability, reliability, and validity.4,35 After development of the survey instruments,recruiting emails, consent statements, and follow-up interview questions, the information wassubmitted for approval to the University of Colorado Boulder (U3
’ participation. The “Other” category included such programs as engineeringleadership, food engineering, global health technologies and manufacturing engineering. Figure 4. Department Participation in Capstone The survey also collected information regarding the source and/or nature of capstone projects. The respondents indicated that they typically receive project topics from a variety of sources ranging from faculty, industry, the local community, research, educational areas, research centers, students, and competitionsFigure 5 shows a more detailed representation of these results. Figure 5. Project SourcesIn summary, the respondents can be mostly classified as
-based learning. She believes project- based learning holds significant potential for increasing the diversity of students who succeed in college and who persist in science, technology, engineering, and math (STEM) fields, and she views her work with the Center as contributing to education reform from the inside out. She holds an M.A. in Developmental Psychology from Clark University and a B.A. in Psychology from Case Western Reserve University. Her background includes working in the field of education evaluation, where she focused primarily on the areas of project-based learning; STEM; pre-literacy and literacy; student life; learning communities; and professional development. She has worked on projects whose funding
theoverall program, described further in Huffstickler, Zappe, Manning and Slattery (2017), are to helpstudents: 1. Conduct research on multi-scale problems to improve the understanding and treatment of cardiovascular disease (CVD). 2. Apply the creative process to solve engineering problems applied to CVD treatment or intervention. 3. Be able to describe the process of translating research into marketable technology. 4. Be able to identify requirements for success in graduate and professional schools.As stated in the second objective listed above, one of the core elements of the program is linkingthe creative process to the scientific method. Despite the emphasis by national organizations tobetter integrate
Paper ID #17207Exploring the Feasibility of an Educational Computer Game as a Novel Meansof Assessing Problem Solving CompetenciesDr. Jacob R Grohs, Virginia Tech Jacob Grohs is an Assistant Professor in Engineering Education at Virginia Tech with Affiliate Faculty status in Biomedical Engineering and Mechanics and the Learning Sciences and Technologies at Virginia Tech. He holds degrees in Engineering Mechanics (BS, MS) and in Educational Psychology (MAEd, PhD).Darren K Maczka, Virginia Tech Department of Engineering Education Darren Maczka is a Ph.D. student in Engineering Education at Virginia Tech. His background is
of engineering, science, and technology to include new forms of communication and problem solving for emerging grand challenges. A second vein of Janet’s research seeks to identify the social and cultural impacts of technological choices made by engineers in the process of designing and creating new devices and systems. Her work considers the intentional and unintentional consequences of durable struc- tures, products, architectures, and standards in engineering education, to pinpoint areas for transformative change.Dr. Kathryn Johnson, Colorado School of Mines Kathryn Johnson is a Professor at the Colorado School of Mines in the Department of Electrical Engi- neering. In the Fall 2011, she was a visiting